Cloud

Acr_cloud_sdk: ACR Cloud SDK for Flutter

ACR Cloud SDK

** This is an unofficial SDK for flutter

Automatic content recognition (ACR) is an identification technology to recognise content played on a media device or present in a media file. This enables users quickly obtain detailed information about the content they have just experienced without any text based input or search efforts.

🤔 How ACR works

ACR can help users deal with multimedia more effective and make applications more intelligent. More info.

📸 Screen Shots

🚀 Initialize SDK

  final AcrCloudSdk arc = AcrCloudSdk();
  
      arc..init(
          host: '', // obtain from https://www.acrcloud.com/ 
          accessKey: '', // obtain from https://www.acrcloud.com/ 
          accessSecret: '', // obtain from https://www.acrcloud.com/ 
          setLog: false,
        )..songModelStream.listen(searchSong);
  
  void searchSong(SongModel song) async {
      print(song); // Recognized song data
  }

Initialize sdk and listen for song recognition events.

️🎶 Start Recognition

 bool started = await arc.start();

• This function will automatic start the recording and recognizing process.
• When there’s a result, songModelStream & resultStream will return the data as events.
• The whole recognition time is controlled by ACRCloud’s Server.
• You can call the stop function to terminate this process.

⛔ Stop Recognition

 bool started = await arc.stop();

• This function will cancel the recognition immediately.

Use this package as a library

Depend on it

Run this command:

With Flutter:

 $ flutter pub add acr_cloud_sdk

This will add a line like this to your package's pubspec.yaml (and run an implicit flutter pub get):

dependencies:
  acr_cloud_sdk: ^2.0.1

Alternatively, your editor might support flutter pub get. Check the docs for your editor to learn more.

Import it

Now in your Dart code, you can use:

import 'package:acr_cloud_sdk/acr_cloud_sdk.dart';

example/lib/main.dart

import 'package:acr_cloud_sdk_example/utils/log.dart';
import 'package:flutter/foundation.dart';
import 'package:flutter/material.dart';

import 'package:hooks_riverpod/hooks_riverpod.dart';

import 'utils/theme.dart';
import 'views/home_page.dart';

void main() {
  Log.init(kReleaseMode);
  runApp(ProviderScope(child: MyApp()));
}

class MyApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    overrideDeviceColors();
    return MaterialApp(
      title: 'SoundCheck',
      debugShowCheckedModeBanner: false,
      theme: themeData(context),
      home: HomePage(),
    );
  }
}

✨ Contribution

Lots of PR's would be needed to improve this plugin. So lots of suggestions and PRs are welcome.

Download Details:

Author: Zfinix
Source Code: https://github.com/Zfinix/acr_cloud_sdk 
License: MIT license

#flutter #dart #sdk #cloud 

A User-space File System for interacting with Google Cloud Storage

gcsfuse is a user-space file system for interacting with Google Cloud Storage.

Current status

Please treat gcsfuse as beta-quality software. Use it for whatever you like, but be aware that bugs may lurk, and that we reserve the right to make small backwards-incompatible changes.

The careful user should be sure to read semantics.md for information on how gcsfuse maps file system operations to GCS operations, and especially on surprising behaviors. The list of open issues may also be of interest.

Installing

See installing.md for full installation instructions for Linux and macOS.

Mounting

Prerequisites

• Before invoking gcsfuse, you must have a GCS bucket that you want to mount. If your bucket doesn't yet exist, create one using the Google Developers Console.
• Make sure the Google Cloud Storage JSON API is enabled.

GCS credentials are automatically loaded using Google application default credentials, or a JSON key file can be specified explicitly using --key-file. If you haven't already done so, the easiest way to set up your credentials for testing is to run the gcloud tool:

gcloud auth login

See mounting.md for more information on credentials.

Invoking gcsfuse

To mount a bucket using gcsfuse over an existing directory /path/to/mount, invoke it like this:

gcsfuse my-bucket /path/to/mount

Important: You should run gcsfuse as the user who will be using the file system, not as root. Do not use sudo.

The gcsfuse tool will exit successfully after mounting the file system. Unmount in the usual way for a fuse file system on your operating system:

umount /path/to/mount         # macOS
fusermount -u /path/to/mount  # Linux

If you are mounting a bucket that was populated with objects by some other means besides gcsfuse, you may be interested in the --implicit-dirs flag. See the notes in semantics.md for more information.

See mounting.md for more detail, including notes on running in the foreground and fstab compatibility.

Performance

Latency and rsync

Writing files to and reading files from GCS has a much higher latency than using a local file system. If you are reading or writing one small file at a time, this may cause you to achieve a low throughput to or from GCS. If you want high throughput, you will need to either use larger files to smooth across latency hiccups or read/write multiple files at a time.

Note in particular that this heavily affects rsync, which reads and writes only one file at a time. You might try using gsutil -m rsync to transfer multiple files to or from your bucket in parallel instead of plain rsync with gcsfuse.

Rate limiting

If you would like to rate limit traffic to/from GCS in order to set limits on your GCS spending on behalf of gcsfuse, you can do so:

• The flag --limit-ops-per-sec controls the rate at which gcsfuse will send requests to GCS.
• The flag --limit-bytes-per-sec controls the egress bandwidth from gcsfuse to GCS.

All rate limiting is approximate, and is performed over an 8-hour window. By default, there are no limits applied.

Upload procedure control

An upload procedure is implemented as a retry loop with exponential backoff for failed requests to the GCS backend. Once the backoff duration exceeds this limit, the retry stops. Flag --max-retry-sleep controls such behavior. The default is 1 minute. A value of 0 disables retries.

GCS round trips

By default, gcsfuse uses two forms of caching to save round trips to GCS, at the cost of consistency guarantees. These caching behaviors can be controlled with the flags --stat-cache-capacity, --stat-cache-ttl and --type-cache-ttl. See semantics.md for more information.

Timeouts

If you are using FUSE for macOS, be aware that by default it will give gcsfuse only 60 seconds to respond to each file system operation. This means that if you write and then flush a large file and your upstream bandwidth is insufficient to write it all to GCS within 60 seconds, your gcsfuse file system may become unresponsive. This behavior can be tuned using the daemon_timeout mount option. See issue #196 for details.

Downloading object contents

Behind the scenes, when a newly-opened file is first modified, gcsfuse downloads the entire backing object's contents from GCS. The contents are stored in a local temporary file whose location is controlled by the flag --temp-dir. Later, when the file is closed or fsync'd, gcsfuse writes the contents of the local file back to GCS as a new object generation.

Files that have not been modified are read portion by portion on demand. gcsfuse uses a heuristic to detect when a file is being read sequentially, and will issue fewer, larger read requests to GCS in this case.

The consequence of this is that gcsfuse is relatively efficient when reading or writing entire large files, but will not be particularly fast for small numbers of random writes within larger files, and to a lesser extent the same is true of small random reads. Performance when copying large files into GCS is comparable to gsutil (see issue #22 for testing notes). There is some overhead due to the staging of data in a local temporary file, as discussed above.

Note that new and modified files are also fully staged in the local temporary directory until they are written out to GCS due to being closed or fsync'd. Therefore the user must ensure that there is enough free space available to handle staged content when writing large files.

Other performance issues

If you notice otherwise unreasonable performance, please file an issue.

Support

gcsfuse is open source software, released under the Apache license. It is distributed as-is, without warranties or conditions of any kind.

For support, visit Server Fault. Tag your questions with gcsfuse and google-cloud-platform, and make sure to look at previous questions and answers before asking a new one. For bugs and feature requests, please file an issue.

Versioning

gcsfuse version numbers are assigned according to Semantic Versioning. Note that the current major version is 0, which means that we reserve the right to make backwards-incompatible changes.

Download Details:

Author: GoogleCloudPlatform
Source Code: https://github.com/GoogleCloudPlatform/gcsfuse 
License: Apache-2.0 license

#go #golang #google #cloud #storage 

SDK package in Golang for s3git: git for Cloud Storage

s3git-go

This is the go SDK package for s3git.

For brevity reasons, error handling and other boilerplate code like package naming etc. is not shown in the examples. Actual client code should always check for errors, see s3git as an example.

DISCLAIMER: This software is still under development (although the storage format/model using BLAKE2 hashing is stable) -- use at your own peril for now

Note that the API is not stable yet, you can expect minor changes

BLAKE2 Tree Hashing

If you would like to understand how s3git uses the BLAKE2 Tree hashing mode please see here.

Development environment

See here for setting up the development environment.

Create a repository

import "github.com/s3git/s3git-go"

// Create repo
repo, _ := s3git.InitRepository(".")

// Add some data
repo.Add(strings.NewReader("hello s3git"))

// Commit changes
repo.Commit("Initial commit")

// List commits
commits, _ := repo.ListCommits("")

for commit := range commits {
    fmt.Println(commit)
}

See here for the full example (and others). And run like this:

$ cd $GOPATH/src/github.com/s3git/s3git-go/examples
$ go run create.go

Clone a repository

import "github.com/s3git/s3git-go"

options := []s3git.CloneOptions{}
options = append(options, s3git.CloneOptionSetAccessKey("AKIAJYNT4FCBFWDQPERQ"))
options = append(options, s3git.CloneOptionSetSecretKey("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"))

// Clone a repo
repo, _ := s3git.Clone("s3://s3git-spoon-knife", ".", options...)

// List contents
list, _ := repo.List("")

for l := range list {
    fmt.Println(l)
}

Make changes and push

import "github.com/s3git/s3git-go"

repo, _ := s3git.OpenRepository(".")

repo.Add(strings.NewReader(fmt.Sprint(time.Now())))

repo.Commit("New commit")

hydrate := false     // For explanation, see https://github.com/s3git/s3git/blob/master/BLAKE2.md#hydrated
repo.Push(hydrate)

See change_and_push.go.

Pull down changes

import "github.com/s3git/s3git-go"

repo, _ := s3git.OpenRepository(".")

repo.Pull()

repo.Log()

Extract data

import "github.com/s3git/s3git-go"

repo, _ := s3git.OpenRepository(".")

r, _ := repo.Get("012345678")

io.Copy(os.Stdout, r)

Clone a repository with progress

import "github.com/s3git/s3git-go"

repo, _ := s3git.Clone("s3://s3git-100m", ".")

Contributions

Contributions are welcome! Please see CONTRIBUTING.md.

Download Details:

Author: s3git
Source Code: https://github.com/s3git/s3git-go 
License: Apache-2.0 license

#go #golang #sdk #cloud #storage 

Minio: Multi-Cloud Object Storage

MinIO Quickstart Guide

MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.

This README provides quickstart instructions on running MinIO on bare metal hardware, including container-based installations. For Kubernetes environments, use the MinIO Kubernetes Operator.

Container Installation

Use the following commands to run a standalone MinIO server as a container.

Standalone MinIO servers are best suited for early development and evaluation. Certain features such as versioning, object locking, and bucket replication require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically, with a minimum of 4 drives per MinIO server. See MinIO Erasure Code Quickstart Guide for more complete documentation.

Stable

Run the following command to run the latest stable image of MinIO as a container using an ephemeral data volume:

podman run -p 9000:9000 -p 9001:9001 \
  quay.io/minio/minio server /data --console-address ":9001"

The MinIO deployment starts using default root credentials minioadmin:minioadmin. You can test the deployment using the MinIO Console, an embedded object browser built into MinIO Server. Point a web browser running on the host machine to http://127.0.0.1:9000 and log in with the root credentials. You can use the Browser to create buckets, upload objects, and browse the contents of the MinIO server.

You can also connect using any S3-compatible tool, such as the MinIO Client mc commandline tool. See Test using MinIO Client mc for more information on using the mc commandline tool. For application developers, see https://docs.min.io/docs/ and click MinIO SDKs in the navigation to view MinIO SDKs for supported languages.

NOTE: To deploy MinIO on with persistent storage, you must map local persistent directories from the host OS to the container using the podman -v option. For example, -v /mnt/data:/data maps the host OS drive at /mnt/data to /data on the container.

macOS

Use the following commands to run a standalone MinIO server on macOS.

Standalone MinIO servers are best suited for early development and evaluation. Certain features such as versioning, object locking, and bucket replication require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically, with a minimum of 4 drives per MinIO server. See MinIO Erasure Code Quickstart Guide for more complete documentation.

Homebrew (recommended)

Run the following command to install the latest stable MinIO package using Homebrew. Replace /data with the path to the drive or directory in which you want MinIO to store data.

brew install minio/stable/minio
minio server /data

NOTE: If you previously installed minio using brew install minio then it is recommended that you reinstall minio from minio/stable/minio official repo instead.

brew uninstall minio
brew install minio/stable/minio

The MinIO deployment starts using default root credentials minioadmin:minioadmin. You can test the deployment using the MinIO Console, an embedded web-based object browser built into MinIO Server. Point a web browser running on the host machine to http://127.0.0.1:9000 and log in with the root credentials. You can use the Browser to create buckets, upload objects, and browse the contents of the MinIO server.

You can also connect using any S3-compatible tool, such as the MinIO Client mc commandline tool. See Test using MinIO Client mc for more information on using the mc commandline tool. For application developers, see https://docs.min.io/docs/ and click MinIO SDKs in the navigation to view MinIO SDKs for supported languages.

Binary Download

Use the following command to download and run a standalone MinIO server on macOS. Replace /data with the path to the drive or directory in which you want MinIO to store data.

wget https://dl.min.io/server/minio/release/darwin-amd64/minio
chmod +x minio
./minio server /data

The MinIO deployment starts using default root credentials minioadmin:minioadmin. You can test the deployment using the MinIO Console, an embedded web-based object browser built into MinIO Server. Point a web browser running on the host machine to http://127.0.0.1:9000 and log in with the root credentials. You can use the Browser to create buckets, upload objects, and browse the contents of the MinIO server.

You can also connect using any S3-compatible tool, such as the MinIO Client mc commandline tool. See Test using MinIO Client mc for more information on using the mc commandline tool. For application developers, see https://docs.min.io/docs/ and click MinIO SDKs in the navigation to view MinIO SDKs for supported languages.

GNU/Linux

Use the following command to run a standalone MinIO server on Linux hosts running 64-bit Intel/AMD architectures. Replace /data with the path to the drive or directory in which you want MinIO to store data.

wget https://dl.min.io/server/minio/release/linux-amd64/minio
chmod +x minio
./minio server /data

Replace /data with the path to the drive or directory in which you want MinIO to store data.

The following table lists supported architectures. Replace the wget URL with the architecture for your Linux host.

The MinIO deployment starts using default root credentials minioadmin:minioadmin. You can test the deployment using the MinIO Console, an embedded web-based object browser built into MinIO Server. Point a web browser running on the host machine to http://127.0.0.1:9000 and log in with the root credentials. You can use the Browser to create buckets, upload objects, and browse the contents of the MinIO server.

You can also connect using any S3-compatible tool, such as the MinIO Client mc commandline tool. See Test using MinIO Client mc for more information on using the mc commandline tool. For application developers, see https://docs.min.io/docs/ and click MinIO SDKs in the navigation to view MinIO SDKs for supported languages.

NOTE: Standalone MinIO servers are best suited for early development and evaluation. Certain features such as versioning, object locking, and bucket replication require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically, with a minimum of 4 drives per MinIO server. See MinIO Erasure Code Quickstart Guide for more complete documentation.

Microsoft Windows

To run MinIO on 64-bit Windows hosts, download the MinIO executable from the following URL:

https://dl.min.io/server/minio/release/windows-amd64/minio.exe

Use the following command to run a standalone MinIO server on the Windows host. Replace D:\ with the path to the drive or directory in which you want MinIO to store data. You must change the terminal or powershell directory to the location of the minio.exe executable, or add the path to that directory to the system $PATH:

minio.exe server D:\

The MinIO deployment starts using default root credentials minioadmin:minioadmin. You can test the deployment using the MinIO Console, an embedded web-based object browser built into MinIO Server. Point a web browser running on the host machine to http://127.0.0.1:9000 and log in with the root credentials. You can use the Browser to create buckets, upload objects, and browse the contents of the MinIO server.

You can also connect using any S3-compatible tool, such as the MinIO Client mc commandline tool. See Test using MinIO Client mc for more information on using the mc commandline tool. For application developers, see https://docs.min.io/docs/ and click MinIO SDKs in the navigation to view MinIO SDKs for supported languages.

NOTE: Standalone MinIO servers are best suited for early development and evaluation. Certain features such as versioning, object locking, and bucket replication require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically, with a minimum of 4 drives per MinIO server. See MinIO Erasure Code Quickstart Guide for more complete documentation.

Install from Source

Use the following commands to compile and run a standalone MinIO server from source. Source installation is only intended for developers and advanced users. If you do not have a working Golang environment, please follow How to install Golang. Minimum version required is go1.18

GO111MODULE=on go install github.com/minio/minio@latest

The MinIO deployment starts using default root credentials minioadmin:minioadmin. You can test the deployment using the MinIO Console, an embedded web-based object browser built into MinIO Server. Point a web browser running on the host machine to http://127.0.0.1:9000 and log in with the root credentials. You can use the Browser to create buckets, upload objects, and browse the contents of the MinIO server.

You can also connect using any S3-compatible tool, such as the MinIO Client mc commandline tool. See Test using MinIO Client mc for more information on using the mc commandline tool. For application developers, see https://docs.min.io/docs/ and click MinIO SDKs in the navigation to view MinIO SDKs for supported languages.

NOTE: Standalone MinIO servers are best suited for early development and evaluation. Certain features such as versioning, object locking, and bucket replication require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically, with a minimum of 4 drives per MinIO server. See MinIO Erasure Code Quickstart Guide for more complete documentation.

MinIO strongly recommends against using compiled-from-source MinIO servers for production environments.

Deployment Recommendations

Allow port access for Firewalls

By default MinIO uses the port 9000 to listen for incoming connections. If your platform blocks the port by default, you may need to enable access to the port.

ufw

For hosts with ufw enabled (Debian based distros), you can use ufw command to allow traffic to specific ports. Use below command to allow access to port 9000

ufw allow 9000

Below command enables all incoming traffic to ports ranging from 9000 to 9010.

ufw allow 9000:9010/tcp

firewall-cmd

For hosts with firewall-cmd enabled (CentOS), you can use firewall-cmd command to allow traffic to specific ports. Use below commands to allow access to port 9000

firewall-cmd --get-active-zones

This command gets the active zone(s). Now, apply port rules to the relevant zones returned above. For example if the zone is public, use

firewall-cmd --zone=public --add-port=9000/tcp --permanent

Note that permanent makes sure the rules are persistent across firewall start, restart or reload. Finally reload the firewall for changes to take effect.

firewall-cmd --reload

iptables

For hosts with iptables enabled (RHEL, CentOS, etc), you can use iptables command to enable all traffic coming to specific ports. Use below command to allow access to port 9000

iptables -A INPUT -p tcp --dport 9000 -j ACCEPT
service iptables restart

Below command enables all incoming traffic to ports ranging from 9000 to 9010.

iptables -A INPUT -p tcp --dport 9000:9010 -j ACCEPT
service iptables restart

Test MinIO Connectivity

Test using MinIO Console

MinIO Server comes with an embedded web based object browser. Point your web browser to http://127.0.0.1:9000 to ensure your server has started successfully.

NOTE: MinIO runs console on random port by default if you wish choose a specific port use --console-address to pick a specific interface and port.

Things to consider

MinIO redirects browser access requests to the configured server port (i.e. 127.0.0.1:9000) to the configured Console port. MinIO uses the hostname or IP address specified in the request when building the redirect URL. The URL and port must be accessible by the client for the redirection to work.

For deployments behind a load balancer, proxy, or ingress rule where the MinIO host IP address or port is not public, use the MINIO_BROWSER_REDIRECT_URL environment variable to specify the external hostname for the redirect. The LB/Proxy must have rules for directing traffic to the Console port specifically.

For example, consider a MinIO deployment behind a proxy https://minio.example.net, https://console.minio.example.net with rules for forwarding traffic on port :9000 and :9001 to MinIO and the MinIO Console respectively on the internal network. Set MINIO_BROWSER_REDIRECT_URL to https://console.minio.example.net to ensure the browser receives a valid reachable URL.

Similarly, if your TLS certificates do not have the IP SAN for the MinIO server host, the MinIO Console may fail to validate the connection to the server. Use the MINIO_SERVER_URL environment variable and specify the proxy-accessible hostname of the MinIO server to allow the Console to use the MinIO server API using the TLS certificate.

For example: export MINIO_SERVER_URL="https://minio.example.net"

Dashboard	Creating a bucket

Test using MinIO Client mc

mc provides a modern alternative to UNIX commands like ls, cat, cp, mirror, diff etc. It supports filesystems and Amazon S3 compatible cloud storage services. Follow the MinIO Client Quickstart Guide for further instructions.

Upgrading MinIO

Upgrades require zero downtime in MinIO, all upgrades are non-disruptive, all transactions on MinIO are atomic. So upgrading all the servers simultaneously is the recommended way to upgrade MinIO.

NOTE: requires internet access to update directly from https://dl.min.io, optionally you can host any mirrors at https://my-artifactory.example.com/minio/

• For deployments that installed the MinIO server binary by hand, use mc admin update

mc admin update <minio alias, e.g., myminio>

For deployments without external internet access (e.g. airgapped environments), download the binary from https://dl.min.io and replace the existing MinIO binary let's say for example /opt/bin/minio, apply executable permissions chmod +x /opt/bin/minio and proceed to perform mc admin service restart alias/.

For installations using Systemd MinIO service, upgrade via RPM/DEB packages parallelly on all servers or replace the binary lets say /opt/bin/minio on all nodes, apply executable permissions chmod +x /opt/bin/minio and process to perform mc admin service restart alias/.

Upgrade Checklist

• Test all upgrades in a lower environment (DEV, QA, UAT) before applying to production. Performing blind upgrades in production environments carries significant risk.
• Read the release notes for MinIO before performing any upgrade, there is no forced requirement to upgrade to latest releases upon every releases. Some releases may not be relevant to your setup, avoid upgrading production environments unnecessarily.
• If you plan to use mc admin update, MinIO process must have write access to the parent directory where the binary is present on the host system.
• mc admin update is not supported and should be avoided in kubernetes/container environments, please upgrade containers by upgrading relevant container images.
• We do not recommend upgrading one MinIO server at a time, the product is designed to support parallel upgrades please follow our recommended guidelines.

Explore Further

• MinIO Erasure Code QuickStart Guide
• Use mc with MinIO Server
• Use aws-cli with MinIO Server
• Use s3cmd with MinIO Server
• Use minio-go SDK with MinIO Server
• The MinIO documentation website

Contribute to MinIO Project

Please follow MinIO Contributor's Guide

Download Details:

Author: Minio
Source Code: https://github.com/minio/minio 
License: AGPL-3.0 license

#go #golang #kubernetes #cloud #storage 

C3-go: Implementation of the C3 protocol in Go (WIP)

C3 Go

Go implementation of the C3 protocol

Install

Requirements

• Docker
  • Install instructions
• IPFS
  • Install instructions
• Patchutils
  • MacOS
    • brew install patchutils

CLI

Install using go get (must have Go installed).

go get -u github.com/c3systems/c3

Show help for C3

$ c3 help

Push image to IPFS

$ c3 push {imageID}

Pull image from IPFS

$ c3 pull {ipfsHash}

Docker config

Configure daemon.json to include the private registry as insecured (momentarily).

{
  "insecure-registries" : [
    "{YOUR_LOCAL_IP}:5000"
  ]
}

• Linux
  • /etc/docker/daemon.json
• macOS
  • ~/.docker/daemon.json

Restart the docker daemon after configuring daemon.json

Test

make test

Tests require docker daemon and IPFS daemon to be running

Author: opennetsys
Source Code: https://github.com/opennetsys/c3-go 
License: Apache 2.0 

#go #golang #linux #docker #cloud 

Google-cloud-ruby: Google Cloud Client Library for Ruby

Google Cloud Ruby Clients

Idiomatic Ruby client libraries for Google Cloud Platform APIs.

This repository includes client libraries for Google Cloud Platform services, along with a selected set of Google services unrelated to the cloud platform.

What's here

Client library gems

Most directories each correspond to a client library RubyGem, including its code, tests, gemspec, and documentation. Some client libraries also include handwritten samples in the samples directory, and/or autogenerated samples in the snippets directory.

Most client libraries in this repository are automatically generated by the GAPIC Generator. A small number are written and maintained by hand. You can identify a generated client library by the presence of .OwlBot.yaml in the library directory. For the most part, do not try to edit generated libraries by hand, because changes will be overwritten by the code generator.

Other directories

A few directories include support files, including:

• .github includes configuration for GitHub Actions and bots that help to maintain this repository.
• .kokoro includes configuration for internal Google processes that help to maintain this repository.
• .toys includes scripts for running CI, releases, and maintenance tasks.
• acceptance and integration include shared fixtures for acceptance tests.
• obsolete contains older libraries that are obsolete and no longer maintained.

GitHub facilities

Issues for client libraries hosted here can be filed in the issues tab. However, this is not an official support channel. If you have support questions, file a support request through the normal Google support channels, or post questions on a forum such as StackOverflow.

Pull requests are welcome. Please see the section below on contributing.

Some maintenance tasks can be run in the actions tab by authorized personnel.

Using the client libraries

These client library RubyGems each include classes and methods that can be used to make authenticated calls to specific Google APIs. Some libraries also include additional convenience code implementing common client-side workflows or best practices.

In general, you can expect to:

Activate access to the API by creating a project on the Google Cloud Console, enabling billing if necessary, and enabling the API.

Choose a library and install it, typically by adding it to your bundle. For example, here is how you might add a the Translation service client to your Gemfile:

# Gemfile

# ... previous libraries ...
gem "google-cloud-translate", "~> 3.2"

Instantiate a client object. This object represents an authenticated connection to the service. For example, here is how you might create a client for the translation service:

require "google/cloud/translate"

translation_client = Google::Cloud::Translate.translation_service

Depending on your environment and authentication needs, you might need to provide credentials to the client object.

Make API calls by invoking methods on the client. For example, here is how you might translate a phrase:

result = translation_client.translate_text contents: ["Hello, world!"],
                                           mime_type: "text/plain",
                                           source_language_code: "en-US",
                                           target_language_code: "ja-JP",
                                           parent: "projects/my-project-name"
puts result.translations.first.translated_text
# => "こんにちは世界！"

Activating the API

To access a Google Cloud API, you will generally need to activate it in the cloud console. This typically involves three steps:

If you have not created a Google Cloud Project, do so. Point your browser to the Google Cloud Console, sign up if needed, and create or choose a project. Make note of the project number (which is numeric) or project ID (which is usually three or more words separated by hyphens). Many services will require you to pass that information in when calling an API.

For most services, you will need to provide billing information. If this is your first time using Google Cloud Platform, you may be eligible for a free trial.

Enable the API you want to use. Click the "APIs & Services" tab in the left navigation, then click the "Enable APIs and Services" button near the top. Search for the API you want by name, and click "Enable". A few APIs may be enabled automatically for you, but most APIs need to be enabled explicitly.

Once you have a project set up and have enabled an API, you are ready to begin using a client library to call the API.

Choosing a client library

This repository contains two types of API client RubyGems: the main library for the API (e.g. the google-cloud-translate gem for the Translation service), and one ore more versioned libraries for different versions of the service (e.g. google-cloud-translate-v2 and google-cloud-translate-v3 for versions 2 and 3 of the service, respectively). Note that we're referring to different versions of the backend service, not of the client library gem.

In most cases, you should install the main library (the one without a service version in the name). This library will provide all the required code for making calls to the API. It may also provide additional convenience code implementing common client-side workflows or best practices. Often the main library will bring in one or more versioned libraries as dependencies, and the client and data type classes you will use may actually be defined in a versioned library, but installing the main library will ensure you have access to the best tools and interfaces for interacting with the service.

The versioned libraries are lower-level libraries that target a specific version of the service. You may choose to intall a versioned library directly, instead of or in addition to the main library, to handle advanced use cases that require lower level access.

Note: Many services may also provide client libraries with names beginning with google-apis-. Those clients are developed in a different repository, and utilize an older client technology that lacks some of the performance and ease of use benefits of the clients in the google-cloud-ruby repository. The older clients may cover some services for which a google-cloud-ruby client is not yet available, but for services that are covered, we generally recommend the clients in the google-cloud-ruby repository over the older ones.

Most client libraries have directories in this repository, or you can look up the name of the client library to use in the documentation for the service you are using. Install this library as a RubyGem, or add it to your Gemfile.

Authentication

Most API calls must be accompanied by authentication information proving that the caller has sufficient permissions to make the call. For an overview of authentication with Google, see https://cloud.google.com/docs/authentication.

These API client libraries provide several mechanisms for attaching credentials to API calls.

If your application runs on an Google Cloud Platform hosting environment such as Google Compute Engine, Google Container Engine, Google App Engine, Google Cloud Run, or Google Cloud Functions, the environment will provide "ambient" credentials which client libraries will recognize and use automatically. You can generally configure these credentials in the hosting environment, for example per-VM in Google Compute Engine.

You can also provide your own service account credentials by including a service account key file in your application's file system and setting the environment variable GOOGLE_APPLICATION_CREDENTIALS to the path to that file. Client libraries will read this environment variable if it is set.

Finally, you can override credentials in code by setting the credentials field in the client configuration. This can be set globally on the client class or provided when you construct a client object.

See https://cloud.google.com/docs/authentication/production for more information on these and other methods of providing credentials.

Supported Ruby Versions

These libraries are currently supported on Ruby 2.6 through Ruby 3.1. Older versions of Ruby may still work, but are unsupported and not recommended.

In general, Google provides official support for Ruby versions that are actively supported by Ruby Core--that is, Ruby versions that are either in normal maintenance or in security maintenance, and not end of life. See https://www.ruby-lang.org/en/downloads/branches/ for details about the Ruby support schedule.

Library Versioning

The libraries in this repository follow Semantic Versioning.

Libraries are released at one of two different support quality levels:

GA: Libraries defined at the GA (general availability) quality level, indicated by a gem version number greater than or equal to 1.0, are stable. The code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues), or unless accompanying a semver-major version update (such as version 1.x to 2.x.) Issues and requests against GA libraries are addressed with the highest priority.

Preview: Libraries defined at a Preview quality level, indicated by a gem version number less than 1.0, are expected to be mostly stable and we're working towards their release candidate. However, these libraries may get backwards-incompatible updates from time to time. We will still address issues and requests with a high priority.

Note that the gem version is distinct from the service version. Some backend services have mulitple versions, for example versions v2 and v3 of the translation service. These are treated as separate services and will have separate versioned clients, e.g. the google-cloud-translate-v2 and google-cloud-translate-v3 gems. These gems will in turn have their own gem versions, tracking the development of the two services.

Contributing

Contributions to this repository are welcome. However, please note that many of the clients in this repository are automatically generated. The Ruby files in those clients will have a comment to that effect near the top; changes to those files will not be accepted as they will simply be overwritten by the code generator. If in doubt, please open an issue and ask the maintainers. See the CONTRIBUTING document for more information on how to get started.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms. See Code of Conduct for more information.

Support

Please report bugs at the project on Github.

If you have questions about how to use the clients or APIs, ask on Stack Overflow.

• Homepage
• Reference documentation

Author: Googleapis
Source Code: https://github.com/googleapis/google-cloud-ruby 
License: Apache-2.0 license

#ruby #google #cloud #client 

Google-cloud-language: Ruby Client for The Cloud Natural Language API

Ruby Client for the Cloud Natural Language API

API Client library for the Cloud Natural Language API

Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations.

Actual client classes for the various versions of this API are defined in versioned client gems, with names of the form google-cloud-language-v*. The gem google-cloud-language is the main client library that brings the verisoned gems in as dependencies, and provides high-level methods for constructing clients. More information on versioned clients can be found below in the section titled Which client should I use?.

View the Client Library Documentation for this library, google-cloud-language, to see the convenience methods for constructing client objects. Reference documentation for the client objects themselves can be found in the client library documentation for the versioned client gems: google-cloud-language-v1, google-cloud-language-v1beta2.

See also the Product Documentation for more usage information.

Quick Start

$ gem install google-cloud-language

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.
2. Enable billing for your project.
3. Enable the API.
4. {file:AUTHENTICATION.md Set up authentication.}

Migrating from 0.x versions

The 1.0 release of the google-cloud-language client is a significant upgrade based on a next-gen code generator, and includes substantial interface changes. Existing code written for earlier versions of this library will likely require updates to use this version. See the {file:MIGRATING.md MIGRATING.md} document for more information.

Enabling Logging

To enable logging for this library, set the logger for the underlying gRPC library. The logger that you set may be a Ruby stdlib Logger as shown below, or a Google::Cloud::Logging::Logger that will write logs to Cloud Logging. See grpc/logconfig.rb and the gRPC spec_helper.rb for additional information.

Configuring a Ruby stdlib logger:

require "logger"

module MyLogger
  LOGGER = Logger.new $stderr, level: Logger::WARN
  def logger
    LOGGER
  end
end

# Define a gRPC module-level logger method before grpc/logconfig.rb loads.
module GRPC
  extend MyLogger
end

Supported Ruby Versions

This library is supported on Ruby 2.6+.

Google provides official support for Ruby versions that are actively supported by Ruby Core—that is, Ruby versions that are either in normal maintenance or in security maintenance, and not end of life. Older versions of Ruby may still work, but are unsupported and not recommended. See https://www.ruby-lang.org/en/downloads/branches/ for details about the Ruby support schedule.

Which client should I use?

Most modern Ruby client libraries for Google APIs come in two flavors: the main client library with a name such as google-cloud-language, and lower-level versioned client libraries with names such as google-cloud-language-v1. In most cases, you should install the main client.

What's the difference between the main client and a versioned client?

A versioned client provides a basic set of data types and client classes for a single version of a specific service. (That is, for a service with multiple versions, there might be a separate versioned client for each service version.) Most versioned clients are written and maintained by a code generator.

The main client is designed to provide you with the recommended client interfaces for the service. There will be only one main client for any given service, even a service with multiple versions. The main client includes factory methods for constructing the client objects we recommend for most users. In some cases, those will be classes provided by an underlying versioned client; in other cases, they will be handwritten higher-level client objects with additional capabilities, convenience methods, or best practices built in. Generally, the main client will default to a recommended service version, although in some cases you can override this if you need to talk to a specific service version.

Why would I want to use the main client?

We recommend that most users install the main client gem for a service. You can identify this gem as the one without a version in its name, e.g. google-cloud-language. The main client is recommended because it will embody the best practices for accessing the service, and may also provide more convenient interfaces or tighter integration into frameworks and third-party libraries. In addition, the documentation and samples published by Google will generally demonstrate use of the main client.

Why would I want to use a versioned client?

You can use a versioned client if you are content with a possibly lower-level class interface, you explicitly want to avoid features provided by the main client, or you want to access a specific service version not be covered by the main client. You can identify versioned client gems because the service version is part of the name, e.g. google-cloud-language-v1.

What about the google-apis- clients?

Client library gems with names that begin with google-apis- are based on an older code generation technology. They talk to a REST/JSON backend (whereas most modern clients talk to a gRPC backend) and they may not offer the same performance, features, and ease of use provided by more modern clients.

The google-apis- clients have wide coverage across Google services, so you might need to use one if there is no modern client available for the service. However, if a modern client is available, we generally recommend it over the older google-apis- clients.

Author: Googleapis
Source Code: https://github.com/googleapis/google-cloud-ruby/ 
License: Apache-2.0 license

#ruby #cloud #api 

Diferentes Tipos De Serviços Baseados Em Nuvem

A computação em nuvem é uma das tecnologias de TI que mais crescem atualmente. Até 2025, 83% das cargas de trabalho corporativas estarão na nuvem. De acordo com o relatório da IDC, o mundo gastará US$ 160 bilhões em serviços e infraestrutura em nuvem em 2018. A nuvem abrange uma variedade de serviços online. É importante para as empresas que consideram os serviços em nuvem entender as diferenças entre IaaS, PaaS e SaaS. Você deve escolher o modelo certo, dependendo de seus requisitos de negócios e do número de tarefas que deseja delegar ou gerenciar. Selecionar o serviço de nuvem ideal é, sem dúvida, difícil, e você deve pesar vários fatores antes de decidir. Aqui, abordamos todos os benefícios e desvantagens de SaaS, PaaS e IaaS para ajudá-lo a decidir qual modelo é melhor para sua empresa.

https://litslink.com/blog/iaas-paas-saas

IaaS

Essencialmente, esta é uma versão virtual de um data center físico. Os provedores de infraestrutura em nuvem usam a tecnologia de virtualização para fornecer recursos de computação escaláveis ​​a seus clientes, incluindo servidores, redes e armazenamento. Os clientes se beneficiam disso, pois não podem comprar hardware pessoal e gerenciar seus componentes. Em vez de implantar seus aplicativos e plataformas em data centers físicos, eles podem usar as máquinas virtuais do provedor. O provedor de IaaS gerencia toda a infraestrutura, mas os usuários a controlam totalmente. Aplicativos e sistemas operacionais são instalados e mantidos pelos usuários, assim como segurança, tempo de execução, middleware e dados.

Vantagens do IaaS:

1. Modelo com maior flexibilidade e potencial dinâmico.

2. Devido ao preço de pagamento conforme o uso, é econômico.

3. A implantação automatizada de hardware facilita o uso.

4. Os funcionários têm mais tempo para outras tarefas porque as tarefas de gerenciamento são virtualizadas.

Desvantagens do IaaS:

1. A arquitetura multilocatário apresenta riscos de segurança.

2. Os clientes não podem acessar seus dados por algum tempo devido a interrupções do fornecedor.

3. Aprender a gerenciar uma nova infraestrutura requer treinamento de equipe.

PaaS

PaaS, ou Platform as a Service, é uma estrutura baseada na Internet para a criação de software. Essa plataforma contém componentes de software e ferramentas que os desenvolvedores podem usar para criar, personalizar, testar e iniciar aplicativos. Os fornecedores de PaaS gerenciam servidores, atualizações do sistema operacional, patches de segurança e backups. Desenvolvedores de aplicativos e gerentes de dados não precisam se preocupar com a manutenção de infraestrutura, middleware e sistemas operacionais. IaaS e PaaS diferem principalmente em quanto controle os usuários recebem.

Vantagens do PaaS:

1. Como o software desenvolvido para PaaS é baseado em nuvem, ele é altamente escalável, disponível e multilocatário.

2. Agilizar e acelerar o processo de desenvolvimento.

3. O custo de criação, teste e lançamento de aplicativos é reduzido.

4. Automação de políticas.

5. Uma redução na quantidade de codificação necessária.

Desvantagens do PaaS:

1. Questões relacionadas à segurança de dados.

2. Não é possível habilitar para nuvem todos os elementos da infraestrutura existente.

3. Velocidade, confiabilidade e suporte dependendo do fornecedor.

SaaS

O fornecedor fornece software baseado em nuvem com esta oferta. Aplicativos SaaS não precisam ser baixados e instalados em dispositivos locais, mas plugins podem ser necessários ocasionalmente. O software SaaS pode ser acessado pela web por meio de APIs e está localizado em uma rede de nuvem distante. Os clientes podem trabalhar juntos em projetos, armazenar dados e analisá-los com esses aplicativos.

O tipo mais popular de computação em nuvem é o SaaS. Tudo, desde a estabilidade do hardware até a funcionalidade do aplicativo, é gerenciado pelo provedor de SaaS. Nesse arranjo, os clientes são exclusivamente responsáveis ​​pelo uso de programas para realizar seus trabalhos. Nesse caso, o provedor controla a experiência de software do cliente.

Vantagens do SaaS:

1. Não há custos de hardware e os custos de configuração inicial não são incorridos.

2. As atualizações são realizadas automaticamente.

3. Adaptabilidade a vários dispositivos.

4. Facilmente acessível de qualquer lugar, Um modelo de pagamento por uso.

5. Adaptabilidade, a personalização é fácil.

Desvantagens do SaaS:

1. A falta de controle.

2. As soluções são limitadas.

3. A necessidade de conectividade não pode ser exagerada.

Diferença entre IaaS, PaaS e SaaS

https://www.quora.com/What-is-the-difference-between-IaaS-SaaS-and-Paas

Conclusão

Depois de ler todo o material acima, você entenderá o valor dos serviços em nuvem e por que eles são tão apreciados pelas empresas. As vantagens das soluções em nuvem são enormes. Assim, não é surpreendente que esse setor econômico esteja passando por uma expansão tão acentuada. A escolha de qualquer modelo da lista acima depende inteiramente das necessidades do seu negócio e do tipo de tarefa que deseja realizar.

Principais conclusões:

• Várias palavras técnicas estão relacionadas à computação em nuvem, mas IaaS, PaaS e SaaS são as mais cruciais.
• Eles são considerados os três principais pilares que fornecem estabilidade para a computação em nuvem.
• Suas metas de negócios determinarão qual desses três tipos você selecionará.
• Os três modelos de nuvem têm características e recursos exclusivos.
• É crucial compreender suas principais distinções entre si.
• Se você deseja usar a nuvem para armazenamento, precisa de uma plataforma poderosa para criar aplicativos personalizados ou deseja controle total sobre sua infraestrutura, deve escolher o provedor de nuvem correto.
• A migração para os serviços em nuvem é necessária para manter a força organizacional de sua empresa, independentemente de sua opção.
• Você pode optar por usar apenas um modelo de computação em nuvem ou os serviços dos três modelos.
• O tamanho e a complexidade de sua organização determinarão isso.

Fonte: https://www.analyticsvidhya.com/blog/2022/07/different-types-of-cloud-based-services/

#cloud #based #bigdata #Beginners 

不同类型的基于云的服务

云计算是当今发展最快的 IT 技术之一。到 2025 年，83% 的企业工作负载将在云端。根据 IDC 报告，2018 年全球将在云服务和基础设施上花费 1600 亿美元。云包括各种在线服务。对于考虑云服务的企业来说，了解 IaaS、PaaS 和 SaaS 之间的区别非常重要。您应该根据您的业务需求以及您想要委派或自己处理的任务数量来选择正确的模型。选择理想的云服务无疑是困难的，在决定之前必须权衡几个因素。在这里，我们介绍了 SaaS、PaaS 和 IaaS 的所有优点和缺点，以帮助您确定哪种模型最适合您的公司。

https://litslink.com/blog/iaas-paas-saas

即服务即服务

本质上，这是物理数据中心的虚拟版本。云基础设施提供商使用虚拟化技术为其客户提供可扩展的计算资源，包括服务器、网络和存储。客户从中受益，因为他们无法购买个人硬件并管理其组件。他们可以使用提供商的虚拟机，而不是在物理数据中心部署他们的应用程序和平台。IaaS 提供商管理整个基础架构，但用户完全控制它。应用程序和操作系统以及安全性、运行时、中间件和数据都由用户安装和维护。

IaaS 的优势：

1. 具有最大灵活性和动态潜力的模型。

2、按量付费，性价比高。

3. 自动化硬件部署，使用方便。

4. 由于管理任务是虚拟化的，员工有更多的时间来处理其他任务。

IaaS 的缺点：

1. 多租户架构带来安全风险。

2. 由于供应商中断，客户在一段时间内无法访问他们的数据。

3.学习如何管理新的基础设施需要团队培训。

即服务

PaaS，即平台即服务，是一种基于互联网的软件创建框架。该平台包含开发人员可以用来创建、定制、测试和启动应用程序的软件组件和工具。PaaS 供应商管理服务器、操作系统更新、安全补丁和备份。应用程序开发人员和数据管理员不必担心维护基础设施、中间件和操作系统。IaaS 和 PaaS 的主要区别在于给予用户多少控制权。

PaaS 的优势：

1. 由于 PaaS 构建的软件是基于云的，因此它具有高度可扩展性、可用性和多租户。

2. 简化和加快开发过程。

3. 降低了创建、测试和启动应用程序的成本。

4. 政策自动化。

5. 所需编码量的减少。

PaaS 的缺点：

1. 与数据安全相关的问题。

2. 不可能对现有基础设施的每个元素都启用云。

3. 速度、可靠性和支持取决于供应商。

软件即服务

供应商通过此产品提供基于云的软件。SaaS 应用程序无需下载并安装在本地设备上，但有时可能需要插件。SaaS 软件可以通过 API 通过 Web 访问，并且位于远程云网络上。客户可以使用这些应用程序一起处理项目、存储数据和分析数据。

最流行的云计算类型是 SaaS。从硬件稳定性到应用程序功能，一切都由 SaaS 提供商管理。在这种安排下，客户全权负责使用程序来完成他们的工作。在这种情况下，提供商控制客户的软件体验。

SaaS的优势：

1.没有硬件成本，不产生初始设置成本。

2. 升级是自动执行的。

3.对多种设备的适应性。

4. 随时随地轻松访问，按使用付费模式。

5.适应性强，定制容易。

SaaS的缺点：

1. 缺乏控制。

2. 解决方案有限。

3. 对连接的需求怎么强调都不为过。

IaaS、PaaS 和 SaaS 之间的区别

https://www.quora.com/What-is-the-difference-between-IaaS-SaaS-and-Paas

结论

阅读完以上所有材料后，您将了解云服务的价值以及为什么它们如此受公司欢迎。云解决方案的优势是巨大的。因此，这一经济部门正在经历如此急剧的扩张也就不足为奇了。从上面的列表中选择任何模型完全取决于您的业务需求和您想要执行的任务类型。

关键要点：

• 几个技术词汇与云计算相关，但 IaaS、PaaS 和 SaaS 是最关键的。
• 它们被认为是为云计算提供稳定性的三大关键支柱。
• 您的业​​务目标将决定您​​最终选择这三种类型中的哪一种。
• 这三个云模型各自具有独特的特征和功能。
• 理解它们之间的主要区别是至关重要的。
• 无论您是想使用云进行存储、需要强大的平台来创建自定义应用程序，还是想完全控制您的基础架构，您都必须选择正确的云提供商。
• 无论您的选择如何，迁移到云服务对于保持公司的组织实力都是必要的。
• 您可以选择仅使用一种云计算模型或所有三种模型的服务。
• 您的组织的规模和复杂性将决定这一点。

资料来源：https ://www.analyticsvidhya.com/blog/2022/07/different-types-of-cloud-based-services/

#cloud #based #bigdata #Beginners 

さまざまな種類のクラウドベースのサービス

クラウド コンピューティングは、今日最も急速に成長している IT テクノロジの 1 つです。2025 年までに、エンタープライズ ワークロードの 83% がクラウドになります。IDC のレポートによると、世界は 2018 年にクラウド サービスとインフラストラクチャに 1,600 億ドルを費やすと予測されています。クラウドには、さまざまなオンライン サービスが含まれます。クラウド サービスを検討している企業は、IaaS、PaaS、SaaS の違いを理解することが重要です。ビジネス要件と、委任または自分で処理するタスクの数に応じて、適切なモデルを選択する必要があります。理想的なクラウド サービスを選択することは間違いなく困難であり、決定する前にいくつかの要因を検討する必要があります。ここでは、SaaS、PaaS、および IaaS のすべての利点と欠点を取り上げ、どのモデルが会社に最適かを判断するのに役立てました。

https://litslink.com/blog/iaas-paas-saas

IaaS

基本的に、これは物理データ センターの仮想バージョンです。クラウド インフラストラクチャ プロバイダーは、仮想化テクノロジを使用して、サーバー、ネットワーク、ストレージなどのスケーラブルなコンピューティング リソースをクライアントに提供します。クライアントは、個人のハードウェアを購入してそのコンポーネントを管理することができないため、このメリットを享受できます。アプリケーションとプラットフォームを物理データ センターに展開する代わりに、プロバイダーの仮想マシンを使用できます。IaaS プロバイダーはインフラストラクチャ全体を管理しますが、ユーザーはそれを完全に制御します。アプリとオペレーティング システムは、セキュリティ、ランタイム、ミドルウェア、およびデータと同様に、ユーザーによってインストールおよび維持されます。

IaaS の利点:

1. 最大限の柔軟性とダイナミックな可能性を備えたモデル。

2. 従量課金制のため、コストパフォーマンスに優れています。

3. 自動化されたハードウェア展開により、使いやすくなります。

4. 管理タスクが仮想化されるため、従業員は他のタスクにより多くの時間を割くことができます。

IaaS の欠点:

1. マルチテナント アーキテクチャはセキュリティ リスクをもたらします。

2. ベンダーの停止により、顧客はしばらくデータにアクセスできません。

3. 新しいインフラストラクチャを管理する方法を学ぶには、チームのトレーニングが必要です。

PaaS

PaaS (Platform as a Service) は、ソフトウェアを作成するためのインターネット ベースのフレームワークです。このプラットフォームには、開発者がアプリケーションの作成、カスタマイズ、テスト、起動に使用できるソフトウェア コンポーネントとツールが含まれています。PaaS のベンダーは、サーバー、オペレーティング システムの更新プログラム、セキュリティ パッチ、およびバックアップを管理します。アプリ開発者とデータ管理者は、インフラストラクチャ、ミドルウェア、およびオペレーティング システムの維持について心配する必要はありません。IaaS と PaaS の主な違いは、ユーザーに与えられる制御の範囲です。

PaaS の利点:

1. PaaS で構築されたソフトウェアはクラウドベースであるため、拡張性、可用性、マルチテナント性に優れています。

2. 開発プロセスの合理化とスピードアップ。

3. アプリの作成、テスト、および起動のコストが削減されます。

4. ポリシーの自動化。

5. 必要なコーディング量の削減。

PaaS の欠点:

1. データのセキュリティに関する問題。

2. 既存のインフラストラクチャのすべての要素をクラウド対応にすることはできません。

3. 速度、信頼性、サポートはベンダーによって異なります。

SaaS

ベンダーは、このオファリングでクラウドベースのソフトウェアを提供します。SaaS アプリケーションをダウンロードしてローカル デバイスにインストールする必要はありませんが、プラグインが必要になる場合があります。SaaS ソフトウェアは、Web 経由で API を介してアクセスでき、離れたクラウド ネットワーク上に配置されます。顧客はこれらのアプリを使用して、プロジェクトで共同作業し、データを保存し、分析することができます。

クラウド コンピューティングの最も一般的なタイプは SaaS です。ハードウェアの安定性からアプリの機能まで、すべてが SaaS プロバイダーによって管理されます。この取り決めでは、クライアントは、プログラムを使用して自分の仕事を実行する責任を独占的に負います。この場合、プロバイダーはクライアントのソフトウェア エクスペリエンスを制御します。

SaaS の利点:

1. ハードウェアの費用がかからず、初期設定費用も発生しません。

2. アップグレードは自動的に実行されます。

3. 複数のデバイスへの適応性。

4. どこからでも簡単にアクセスできる従量制モデル。

5. 適応性、カスタマイズは容易です。

SaaS の欠点:

1. コントロールの欠如。

2. ソリューションは限られています。

3. コネクティビティの必要性はいくら強調してもしすぎることはありません。

IaaS、PaaS、SaaS の違い

https://www.quora.com/What-is-the-difference-between-IaaS-SaaS-and-Paas

結論

上記の資料をすべて読むと、クラウド サービスの価値と、クラウド サービスが企業に好まれる理由が理解できます。クラウド ソリューションの利点は計り知れません。したがって、この経済部門がこれほど急激な拡大を遂げていることは驚くべきことではありません。上記のリストからどのモデルを選択するかは、ビジネス ニーズと実行するタスクの種類に完全に依存します。

重要ポイント:

• クラウド コンピューティングに関連する専門用語はいくつかありますが、IaaS、PaaS、および SaaS が最も重要です。
• これらは、クラウド コンピューティングの安定性を提供する 3 つの重要な柱と見なされます。
• ビジネス目標によって、これら 3 つのタイプのどれを最終的に選択するかが決まります。
• 3 つのクラウド モデルには、それぞれ独自の特性と機能があります。
• それらの主な違いを互いに理解することが重要です。
• ストレージにクラウドを使用する場合でも、カスタム アプリを作成するために強力なプラットフォームが必要な場合でも、インフラストラクチャを完全に制御したい場合でも、適切なクラウド プロバイダーを選択する必要があります。
• クラウドサービスへの移行は、選択肢に関係なく、企業の組織力を維持するために必要です。
• クラウド コンピューティング モデルを 1 つだけ使用するか、3 つのモデルのサービスすべてを使用するかを選択できます。
• これは、組織の規模と複雑さによって決まります。

出典: https://www.analyticsvidhya.com/blog/2022/07/different-types-of-cloud-based-services/

#cloud #based #bigdata #Beginners 

Différents Types De Services Basés Sur Le Cloud

Le cloud computing est l'une des technologies informatiques à la croissance la plus rapide aujourd'hui. D'ici 2025, 83 % des charges de travail des entreprises seront dans le cloud. Selon le rapport d'IDC, le monde dépensera 160 milliards de dollars en services et infrastructures cloud en 2018. Le cloud englobe une variété de services en ligne. Il est important pour les entreprises qui envisagent des services cloud de comprendre les différences entre IaaS, PaaS et SaaS. Vous devez choisir le bon modèle en fonction des besoins de votre entreprise et du nombre de tâches que vous souhaitez déléguer ou gérer vous-même. La sélection du service cloud idéal est sans aucun doute difficile, et vous devez peser plusieurs facteurs avant de vous décider. Ici, nous avons couvert tous les avantages et les inconvénients de SaaS, PaaS et IaaS pour vous aider à décider quel modèle convient le mieux à votre entreprise.

https://litslink.com/blog/iaas-paas-saas

IaaS

Il s'agit essentiellement d'une version virtuelle d'un centre de données physique. Les fournisseurs d'infrastructure cloud utilisent la technologie de virtualisation pour fournir des ressources informatiques évolutives à leurs clients, notamment des serveurs, des réseaux et du stockage. Les clients en bénéficient car ils ne peuvent pas acheter de matériel personnel et gérer ses composants. Au lieu de déployer leurs applications et plates-formes dans des centres de données physiques, ils peuvent utiliser les machines virtuelles du fournisseur. Le fournisseur IaaS gère l'ensemble de l'infrastructure, mais les utilisateurs la contrôlent entièrement. Les applications et les systèmes d'exploitation sont installés et maintenus par les utilisateurs, ainsi que la sécurité, l'exécution, le middleware et les données.

Avantages du IaaS :

1. Modèle avec la plus grande flexibilité et potentiel dynamique.

2. En raison de la tarification à l'utilisation, il est rentable.

3. Le déploiement automatisé du matériel facilite son utilisation.

4. Les employés ont plus de temps pour d'autres tâches car les tâches de gestion sont virtualisées.

Inconvénients du IaaS :

1. L'architecture mutualisée présente des risques de sécurité.

2. Les clients ne peuvent pas accéder à leurs données pendant un certain temps en raison de pannes de fournisseurs.

3. Apprendre à gérer une nouvelle infrastructure nécessite une formation d'équipe.

PaaS

PaaS, ou Platform as a Service, est un cadre basé sur Internet pour la création de logiciels. Cette plate-forme contient des composants logiciels et des outils que les développeurs peuvent utiliser pour créer, personnaliser, tester et lancer des applications. Les fournisseurs de PaaS gèrent les serveurs, les mises à jour du système d'exploitation, les correctifs de sécurité et les sauvegardes. Les développeurs d'applications et les gestionnaires de données n'ont pas à se soucier de la maintenance de l'infrastructure, du middleware et des systèmes d'exploitation. IaaS et PaaS diffèrent principalement par le degré de contrôle accordé aux utilisateurs.

Avantages du PaaS :

1. Étant donné que le logiciel PaaS est basé sur le cloud, il est hautement évolutif, disponible et multi-locataire.

2. Rationalisation et accélération du processus de développement.

3. Le coût de création, de test et de lancement des applications est réduit.

4. Automatisation des politiques.

5. Une réduction de la quantité de codage nécessaire.

Inconvénients du PaaS :

1. Problèmes liés à la sécurité des données.

2. Il n'est pas possible d'activer le cloud pour chaque élément de l'infrastructure existante.

3. Vitesse, fiabilité et assistance selon le fournisseur.

SaaS

Le fournisseur fournit un logiciel basé sur le cloud avec cette offre. Les applications SaaS n'ont pas besoin d'être téléchargées et installées sur des appareils locaux, mais des plug-ins peuvent parfois être nécessaires. Le logiciel SaaS est accessible via le Web via des API et est situé sur un réseau cloud distant. Les clients peuvent travailler ensemble sur des projets, stocker des données et les analyser avec ces applications.

Le type de cloud computing le plus populaire est le SaaS. Tout, de la stabilité du matériel à la fonctionnalité de l'application, est géré par le fournisseur SaaS. Dans cet arrangement, les clients sont exclusivement responsables de l'utilisation des programmes pour effectuer leur travail. Dans ce cas, le fournisseur contrôle l'expérience logicielle du client.

Avantages du SaaS :

1. Il n'y a pas de frais de matériel et les frais d'installation initiaux ne sont pas encourus.

2. Les mises à niveau sont effectuées automatiquement.

3. Adaptabilité à plusieurs appareils.

4. Facilement accessible de n'importe où, un modèle de paiement à l'utilisation.

5. Adaptabilité, la personnalisation est facile.

Inconvénients du SaaS :

1. Un manque de contrôle.

2. Les solutions sont limitées.

3. Le besoin de connectivité ne peut être surestimé.

Différence entre IaaS, PaaS et SaaS

https://www.quora.com/Quelle-est-la-différence-entre-IaaS-SaaS-et-Paas

Conclusion

Après avoir lu tous les documents ci-dessus, vous comprendrez la valeur des services cloud et pourquoi ils sont si appréciés des entreprises. Les avantages des solutions cloud sont énormes. Il n'est donc pas surprenant que ce secteur économique connaisse une aussi forte expansion. Le choix d'un modèle dans la liste ci-dessus dépend entièrement des besoins de votre entreprise et du type de tâche que vous souhaitez effectuer.

Points clés à retenir:

• Plusieurs mots techniques sont liés au cloud computing, mais IaaS, PaaS et SaaS sont les plus cruciaux.
• Ils sont considérés comme les trois piliers clés qui assurent la stabilité du cloud computing.
• Vos objectifs commerciaux détermineront lequel de ces trois types vous sélectionnerez en fin de compte.
• Les trois modèles de cloud ont chacun des caractéristiques et des capacités uniques.
• Il est crucial de comprendre leurs principales distinctions les unes des autres.
• Que vous souhaitiez utiliser le cloud pour le stockage, que vous ayez besoin d'une plate-forme puissante pour créer des applications personnalisées ou que vous souhaitiez un contrôle total sur votre infrastructure, vous devez choisir le bon fournisseur de cloud.
• Le passage aux services cloud est nécessaire pour maintenir la force organisationnelle de votre entreprise, quelle que soit votre option.
• Vous pouvez choisir d'utiliser un seul modèle de cloud computing ou les services des trois modèles.
• La taille et la complexité de votre organisation détermineront cela.

Source : https://www.analyticsvidhya.com/blog/2022/07/different-types-of-cloud-based-services/

#cloud #based #bigdata #Beginners 

Các Loại Dịch Vụ của Cloud-based Services

Điện toán đám mây là một trong những công nghệ CNTT phát triển nhanh nhất hiện nay. Đến năm 2025, 83% khối lượng công việc của doanh nghiệp sẽ là trên đám mây. Theo báo cáo của IDC, thế giới sẽ chi 160 tỷ USD cho các dịch vụ và cơ sở hạ tầng đám mây vào năm 2018. Đám mây bao gồm nhiều loại dịch vụ trực tuyến. Điều quan trọng đối với các doanh nghiệp đang xem xét dịch vụ đám mây là phải hiểu sự khác biệt giữa IaaS, PaaS và SaaS. Bạn nên chọn mô hình phù hợp tùy thuộc vào yêu cầu kinh doanh của bạn và số lượng nhiệm vụ bạn muốn ủy thác hoặc tự xử lý. Việc lựa chọn dịch vụ đám mây lý tưởng chắc chắn là rất khó và bạn phải cân nhắc một số yếu tố trước khi quyết định. Ở đây, chúng tôi đã đề cập đến tất cả những lợi ích và hạn chế của SaaS, PaaS và IaaS để giúp bạn quyết định mô hình nào phù hợp nhất cho công ty của bạn.

https://litslink.com/blog/iaas-paas-saas

IaaS

Về cơ bản, đây là một phiên bản ảo của một trung tâm dữ liệu vật lý. Các nhà cung cấp cơ sở hạ tầng đám mây sử dụng công nghệ ảo hóa để cung cấp các tài nguyên máy tính có thể mở rộng cho khách hàng của họ, bao gồm máy chủ, mạng và bộ nhớ. Khách hàng được hưởng lợi từ điều này vì họ không thể mua phần cứng cá nhân và quản lý các thành phần của nó. Thay vì triển khai các ứng dụng và nền tảng của họ trong các trung tâm dữ liệu vật lý, họ có thể sử dụng các máy ảo của nhà cung cấp. Nhà cung cấp IaaS quản lý toàn bộ cơ sở hạ tầng, nhưng người dùng hoàn toàn kiểm soát nó. Các ứng dụng và hệ điều hành được cài đặt và duy trì bởi người dùng, cũng như bảo mật, thời gian chạy, phần mềm trung gian và dữ liệu.

Ưu điểm của IaaS:

1. Mô hình có tính linh hoạt và tiềm năng động lớn nhất.

2. Do giá cả phải trả khi bạn di chuyển, nó là hiệu quả về chi phí.

3. Triển khai phần cứng tự động giúp bạn dễ dàng sử dụng.

4. Nhân viên có nhiều thời gian hơn cho các nhiệm vụ khác vì các nhiệm vụ quản lý được ảo hóa.

Nhược điểm của IaaS:

1. Kiến trúc đa đối tượng gây ra rủi ro bảo mật.

2. Khách hàng không thể truy cập dữ liệu của họ trong một thời gian do nhà cung cấp ngừng hoạt động.

3. Học cách quản lý cơ sở hạ tầng mới yêu cầu đào tạo nhóm.

PaaS

PaaS, hoặc Nền tảng dưới dạng Dịch vụ, là một khuôn khổ dựa trên internet để tạo phần mềm. Nền tảng này chứa các thành phần phần mềm và công cụ mà nhà phát triển có thể sử dụng để tạo, tùy chỉnh, kiểm tra và khởi chạy ứng dụng. Nhà cung cấp PaaS quản lý máy chủ, cập nhật hệ điều hành, bản vá bảo mật và bản sao lưu. Các nhà phát triển ứng dụng và quản lý dữ liệu không phải lo lắng về việc duy trì cơ sở hạ tầng, phần mềm trung gian và hệ điều hành. IaaS và PaaS chủ yếu khác nhau về mức độ kiểm soát của người dùng.

Ưu điểm của PaaS:

1. Vì phần mềm do PaaS xây dựng dựa trên nền tảng đám mây nên nó có khả năng mở rộng cao, khả dụng và nhiều người thuê.

2. Hợp lý hóa và đẩy nhanh quá trình phát triển.

3. Giảm chi phí tạo, thử nghiệm và khởi chạy ứng dụng.

4. Tự động hóa chính sách.

5. Giảm số lượng mã hóa cần thiết.

Nhược điểm của PaaS:

1. Các vấn đề liên quan đến bảo mật dữ liệu.

2. Không thể kích hoạt đám mây mọi yếu tố của cơ sở hạ tầng hiện có.

3. Tốc độ, độ tin cậy và hỗ trợ tùy thuộc vào nhà cung cấp.

SaaS

Nhà cung cấp cung cấp phần mềm dựa trên đám mây với dịch vụ này. Các ứng dụng SaaS không cần được tải xuống và cài đặt trên các thiết bị cục bộ, nhưng thỉnh thoảng có thể cần các plugin. Phần mềm SaaS có thể được truy cập qua web thông qua các API và được đặt trên một mạng đám mây ở xa. Khách hàng có thể làm việc cùng nhau trong các dự án, lưu trữ và phân tích dữ liệu bằng các ứng dụng này.

Loại điện toán đám mây phổ biến nhất là SaaS. Mọi thứ, từ độ ổn định của phần cứng đến chức năng của ứng dụng, đều do nhà cung cấp SaaS quản lý. Trong thỏa thuận này, khách hàng chịu trách nhiệm độc quyền về việc sử dụng các chương trình để thực hiện công việc của họ. Trong trường hợp này, nhà cung cấp kiểm soát trải nghiệm phần mềm của khách hàng.

Ưu điểm của SaaS:

1. Không có chi phí phần cứng và không phát sinh chi phí thiết lập ban đầu.

2. Nâng cấp được thực hiện tự động.

3. Khả năng thích ứng với nhiều thiết bị.

4. Dễ dàng truy cập từ mọi nơi, Mô hình trả tiền cho mỗi lần sử dụng.

5. Khả năng thích ứng, Tùy chỉnh rất dễ dàng.

Nhược điểm của SaaS:

1. Sự thiếu kiểm soát.

2. Các giải pháp còn hạn chế.

3. Nhu cầu kết nối không thể được phóng đại.

Sự khác biệt giữa IaaS, PaaS và SaaS

https://www.quora.com/What-is-the-difference-between-IaaS-SaaS-and-Paas

Sự kết luận

Sau khi đọc qua tất cả các tài liệu ở trên, bạn sẽ hiểu giá trị của các dịch vụ đám mây và tại sao chúng lại được các công ty ưa chuộng đến vậy. Ưu điểm của các giải pháp đám mây là rất lớn. Vì vậy, không có gì ngạc nhiên khi khu vực kinh tế này đang có sự mở rộng mạnh mẽ như vậy. Việc chọn bất kỳ mô hình nào từ danh sách trên hoàn toàn phụ thuộc vào nhu cầu kinh doanh của bạn và loại nhiệm vụ bạn muốn thực hiện.

Bài học chính:

• Một số từ kỹ thuật có liên quan đến điện toán đám mây, nhưng IaaS, PaaS và SaaS là ​​quan trọng nhất.
• Chúng được coi là ba trụ cột chính mang lại sự ổn định cho điện toán đám mây.
• Mục tiêu kinh doanh của bạn sẽ xác định bạn chọn loại nào trong ba loại này.
• Ba mô hình đám mây đều có những đặc điểm và khả năng riêng biệt.
• Điều quan trọng là phải hiểu được sự khác biệt chính của chúng với nhau.
• Cho dù bạn muốn sử dụng đám mây để lưu trữ, yêu cầu một nền tảng mạnh mẽ để tạo các ứng dụng tùy chỉnh hoặc muốn kiểm soát hoàn toàn cơ sở hạ tầng của mình, bạn phải chọn đúng nhà cung cấp đám mây.
• Chuyển sang các dịch vụ đám mây là cần thiết để duy trì sức mạnh tổ chức của công ty bạn bất kể lựa chọn của bạn là gì.
• Bạn có thể chọn chỉ sử dụng một mô hình điện toán đám mây hoặc cả ba dịch vụ của mô hình.
• Quy mô và độ phức tạp của tổ chức của bạn sẽ quyết định điều này.

Nguồn: https://www.analyticsvidhya.com/blog/2022/07/dierence-types-of-cloud-based-services/

#cloud #based #bigdata #Beginners 

Diferentes Tipos De Servicios Basados ​​en La Nube

La computación en la nube es una de las tecnologías de TI de más rápido crecimiento en la actualidad. Para 2025, el 83 % de las cargas de trabajo empresariales estarán en la nube. Según el informe de IDC, el mundo gastará $160 mil millones en servicios e infraestructura en la nube en 2018. La nube abarca una variedad de servicios en línea. Es importante que las empresas que están considerando los servicios en la nube comprendan las diferencias entre IaaS, PaaS y SaaS. Debe elegir el modelo correcto según los requisitos de su negocio y la cantidad de tareas que desea delegar o manejar usted mismo. Sin duda, seleccionar el servicio en la nube ideal es difícil y debe sopesar varios factores antes de decidir. Aquí, hemos cubierto todos los beneficios y desventajas de SaaS, PaaS e IaaS para ayudarlo a decidir qué modelo es mejor para su empresa.

https://litslink.com/blog/iaas-paas-saas

IaaS

Esencialmente, esta es una versión virtual de un centro de datos físico. Los proveedores de infraestructura en la nube utilizan la tecnología de virtualización para ofrecer recursos informáticos escalables a sus clientes, incluidos servidores, redes y almacenamiento. Los clientes se benefician de esto ya que no pueden comprar hardware personal y administrar sus componentes. En lugar de implementar sus aplicaciones y plataformas en centros de datos físicos, pueden usar las máquinas virtuales del proveedor. El proveedor de IaaS gestiona toda la infraestructura, pero los usuarios la controlan por completo. Los usuarios instalan y mantienen las aplicaciones y los sistemas operativos, así como la seguridad, el tiempo de ejecución, el middleware y los datos.

Ventajas de IaaS:

1. Modelo con mayor flexibilidad y potencial dinámico.

2. Debido a los precios de pago por uso, es rentable.

3. La implementación de hardware automatizada facilita su uso.

4. Los empleados tienen más tiempo para otras tareas porque las tareas de gestión están virtualizadas.

Desventajas de IaaS:

1. La arquitectura multiusuario plantea riesgos de seguridad.

2. Los clientes no pueden acceder a sus datos durante algún tiempo debido a interrupciones del proveedor.

3. Aprender a administrar una nueva infraestructura requiere capacitación en equipo.

PaaS

PaaS, o plataforma como servicio, es un marco basado en Internet para crear software. Esta plataforma contiene componentes de software y herramientas que los desarrolladores pueden usar para crear, personalizar, probar y ejecutar aplicaciones. Los proveedores de PaaS administran servidores, actualizaciones del sistema operativo, parches de seguridad y copias de seguridad. Los desarrolladores de aplicaciones y los administradores de datos no tienen que preocuparse por mantener la infraestructura, el middleware y los sistemas operativos. IaaS y PaaS difieren principalmente en la cantidad de control que se otorga a los usuarios.

Ventajas de PaaS:

1. Dado que el software creado por PaaS está basado en la nube, es altamente escalable, disponible y multiusuario.

2. Agilizar y acelerar el proceso de desarrollo.

3. Se reduce el costo de crear, probar y lanzar aplicaciones.

4. Automatización de políticas.

5. Una reducción en la cantidad de codificación requerida.

Desventajas de PaaS:

1. Cuestiones relacionadas con la seguridad de los datos.

2. No es posible habilitar en la nube todos los elementos de la infraestructura existente.

3. Velocidad, confiabilidad y soporte según el proveedor.

SaaS

El proveedor proporciona software basado en la nube con esta oferta. Las aplicaciones SaaS no necesitan descargarse e instalarse en dispositivos locales, pero los complementos pueden ser necesarios ocasionalmente. Se puede acceder al software SaaS a través de la web a través de API y se encuentra en una red de nube distante. Los clientes pueden trabajar juntos en proyectos, almacenar datos y analizarlos con estas aplicaciones.

El tipo más popular de computación en la nube es SaaS. Todo, desde la estabilidad del hardware hasta la funcionalidad de la aplicación, es administrado por el proveedor de SaaS. En este arreglo, los clientes son los únicos responsables de utilizar los programas para realizar sus trabajos. En este caso, el proveedor controla la experiencia de software del cliente.

Ventajas de SaaS:

1. No hay costos de hardware y no se incurre en costos de configuración inicial.

2. Las actualizaciones se realizan automáticamente.

3. Adaptabilidad a múltiples dispositivos.

4. Fácilmente accesible desde cualquier lugar, Un modelo de pago por uso.

5. Adaptabilidad, la personalización es fácil.

Desventajas de SaaS:

1. Falta de control.

2. Las soluciones son limitadas.

3. No se puede exagerar la necesidad de conectividad.

Diferencia entre IaaS, PaaS y SaaS

https://www.quora.com/Cuál-es-la-diferencia-entre-IaaS-SaaS-y-Paas

Conclusión

Después de leer todo el material anterior, comprenderá el valor de los servicios en la nube y por qué son tan apreciados por las empresas. Las ventajas de las soluciones en la nube son enormes. Por lo tanto, no sorprende que este sector económico esté experimentando una expansión tan fuerte. La elección de cualquier modelo de la lista anterior depende completamente de las necesidades de su negocio y del tipo de tarea que desee realizar.

Conclusiones clave:

• Varias palabras técnicas están relacionadas con la computación en la nube, pero IaaS, PaaS y SaaS son las más importantes.
• Se consideran los tres pilares clave que brindan estabilidad a la computación en la nube.
• Sus objetivos comerciales determinarán cuál de estos tres tipos seleccionará en última instancia.
• Cada uno de los tres modelos de nube tiene características y capacidades únicas.
• Es crucial comprender sus principales diferencias entre sí.
• Ya sea que desee utilizar la nube para el almacenamiento, necesite una plataforma poderosa para crear aplicaciones personalizadas o desee un control total sobre su infraestructura, debe elegir el proveedor de nube correcto.
• Pasar a los servicios en la nube es necesario para mantener la solidez organizativa de su empresa, independientemente de su opción.
• Puede elegir usar solo un modelo de computación en la nube o los servicios de los tres modelos.
• El tamaño y la complejidad de su organización determinarán esto.

Fuente: https://www.analyticsvidhya.com/blog/2022/07/diferentes-tipos-de-servicios-basados-en-la-nube/

#cloud #based #bigdata #Beginners 

Different Types of Cloud-based Services

Cloud computing is one of the fastest-growing IT technologies today. By 2025, 83% of enterprise workloads will be in the cloud. According to the IDC report, the world will spend $160 billion on cloud services and infrastructure in 2018. The cloud encompasses a variety of online services. It is important for businesses considering cloud services to understand the differences between IaaS, PaaS, and SaaS. You should choose the right model depending on your business requirements and the number of tasks you want to delegate or handle yourself. Selecting the ideal cloud service is undoubtedly difficult, and you must weigh several factors before deciding. Here, we have covered all of the benefits and drawbacks of SaaS, PaaS, and IaaS to help you decide which model is best for your company.

See more at: https://www.analyticsvidhya.com/blog/2022/07/different-types-of-cloud-based-services/

#cloud #based #bigdata #Beginners 

A Julia interface to The Plot.ly Plotting Library & Cloud Services

Plotly.jl

A Julia interface to the plot.ly plotting library and cloud services

Install

Simply run Pkg.add("Plotly").

Usage

Plotting functions provided by this package are identical to PlotlyJS. Please consult its documentation. In fact, the package depends on PlotlyJS.jl and reexports all the methods.

For example, this will display a basic scatter plot:

my_plot = plot([scatter(x=[1,2], y=[3,4])], Layout(title="My plot"))

Using the Plotly cloud

New user signup

Find your username and API key in the Plotly settings.

Signin

julia> Plotly.signin("username","your api key")
PlotlyAccount("username","your api key")

Note: you may also specify your session endpoints using sign in as follows:

julia> Plotly.signin("username","your api key",Dict("plotly_domain"=> "your_plotly_base_endpoint", "plotly_api_domain"=> "your_plotly_api_endpoint"))

Saving your credentials

julia> Plotly.set_credentials_file(Dict("username"=>"your_user_name","api_key"=>"your_api_key"))

Note: your credentials will be saved within /YOUR_HOME_DIR/.plotly/.credentials

Saving your endpoint configuration

julia> Plotly.set_config_file(Dict("plotly_domain"=> "your_plotly_base_endpoint", "plotly_api_domain"=> "your_plotly_api_endpoint"))

Note: your configuration will be saved within /YOUR_HOME_DIR/.plotly/.config

Saving a plot to the cloud

Use the post function to upload a local plot to the Plotly cloud:

> my_plot  = plot([scatter(y=[1,2])])
> remote_plot = post(my_plot)
Plotly.RemotePlot(URI(https://plot.ly/~malmaud/73))

Visiting https://plot.ly/~malmaud/73 in a browser will show the plot.

Download a plot from the cloud

Use the download function with a remote plot object to download a plot stored on the Plotly cloud to a local Plot object:

local_plot = download(RemotePlot("https://plot.ly/~malmaud/73"))
# or equivalently, local_plot = download_plot("https://plot.ly/~malmaud/73")

Working with plotlyjs() backend of Plots.jl

A plot created by Plots.jl with plotlyjs() backend has the type Plot{Plots.PlotlyJSBackend()}. To use the Plotly.jl interfeces, the plot object needs to be converted by

my_plot = Plots.plotlyjs_syncplot(plots_plot)

The object my_plot can be handed to the Cloud API descrived above.

Acknowledgements

PlotlyJS.jl , which provides the large majority of the functionality of this package, is developed primarily by Spencer Lyon.

This package, which adds to PlotlyJS.jl the functionality for interacting with the Plotly cloud, is developed by Jon Malmaud and others.

Contribute

Please do! This is an open source project. Check out the issues or open a PR!

We want to encourage a warm, welcoming, and safe environment for contributing to this project. See the code of conduct for more information.

Author: Plotly
Source Code: https://github.com/plotly/Plotly.jl 
License: View license

#julia #cloud #plotly