Omar  Amin

Omar Amin

1617590235

Using Google Cloud Storage API in Python For Beginners

In this tutorial, I will be covering how to get started with using Google Cloud Storage API in Python.

Things I will be covering in the video:

  1. Create a Service Account
  2. Enable Google Cloud Storage API
  3. Install Google Cloud Storage Python Library
  4. Create a new bucket using Python
  5. Accessing a bucket using Python
  6. Upload File to Google Cloud Storage using Python
  7. Download File From Google Cloud Storage using Python

Google Cloud Storage

Google Cloud Storage is a RESTful online file storage web service for storing and accessing data on Google Cloud Platform infrastructure. The service combines the performance and scalability of Google’s cloud with advanced security and sharing capabilities.

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Using Google Cloud Storage API in Python For Beginners
Adaline  Kulas

Adaline Kulas

1594162500

Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Sival Alethea

Sival Alethea

1624302000

APIs for Beginners - How to use an API (Full Course / Tutorial)

What is an API? Learn all about APIs (Application Programming Interfaces) in this full tutorial for beginners. You will learn what APIs do, why APIs exist, and the many benefits of APIs. APIs are used all the time in programming and web development so it is important to understand how to use them.

You will also get hands-on experience with a few popular web APIs. As long as you know the absolute basics of coding and the web, you’ll have no problem following along.
⭐️ Unit 1 - What is an API
⌨️ Video 1 - Welcome (0:00:00)
⌨️ Video 2 - Defining Interface (0:03:57)
⌨️ Video 3 - Defining API (0:07:51)
⌨️ Video 4 - Remote APIs (0:12:55)
⌨️ Video 5 - How the web works (0:17:04)
⌨️ Video 6 - RESTful API Constraint Scavenger Hunt (0:22:00)

⭐️ Unit 2 - Exploring APIs
⌨️ Video 1 - Exploring an API online (0:27:36)
⌨️ Video 2 - Using an API from the command line (0:44:30)
⌨️ Video 3 - Using Postman to explore APIs (0:53:56)
⌨️ Video 4 - Please please Mr. Postman (1:03:33)
⌨️ Video 5 - Using Helper Libraries (JavaScript) (1:14:41)
⌨️ Video 6 - Using Helper Libraries (Python) (1:24:40)

⭐️ Unit 3 - Using APIs
⌨️ Video 1 - Introducing the project (1:34:18)
⌨️ Video 2 - Flask app (1:36:07)
⌨️ Video 3 - Dealing with API Limits (1:50:00)
⌨️ Video 4 - JavaScript Single Page Application (1:54:27)
⌨️ Video 5 - Moar JavaScript and Recap (2:07:53)
⌨️ Video 6 - Review (2:18:03)
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=GZvSYJDk-us&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=5
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#apis #apis for beginners #how to use an api #apis for beginners - how to use an api #application programming interfaces #learn all about apis

Google Cloud: Caching Cloud Storage content with Cloud CDN

In this Lab, we will configure Cloud Content Delivery Network (Cloud CDN) for a Cloud Storage bucket and verify caching of an image. Cloud CDN uses Google’s globally distributed edge points of presence to cache HTTP(S) load-balanced content close to our users. Caching content at the edges of Google’s network provides faster delivery of content to our users while reducing serving costs.

For an up-to-date list of Google’s Cloud CDN cache sites, see https://cloud.google.com/cdn/docs/locations.

Task 1. Create and populate a Cloud Storage bucket

Cloud CDN content can originate from different types of backends:

  • Compute Engine virtual machine (VM) instance groups
  • Zonal network endpoint groups (NEGs)
  • Internet network endpoint groups (NEGs), for endpoints that are outside of Google Cloud (also known as custom origins)
  • Google Cloud Storage buckets

In this lab, we will configure a Cloud Storage bucket as the backend.

#google-cloud #google-cloud-platform #cloud #cloud storage #cloud cdn

Extract RSS News Feeds using Python and Google Cloud Services

An Introduction to web scraping and to Serverless Cloud services.

The purpose of this article is to present au systematic approach to read an RSS News Feed and to process its content to web scrape news articles. The challenge is to be able to extract text articles published in different websites without any strong premise on a web page structure.

The overall solution is described in three steps :

  1. A message is published in Cloud Pub/Sub with a URL to an news RSS feed,
  2. A first Cloud Function is triggered by the previous message. It extracts each article within the RSS feed, stores it in Cloud Storage and publishes a message for each article in Cloud Pub/Sub for further usage,
  3. A second Cloud Function is triggered by the previous messages. It web scrapes the article page, stores the resulting text in Cloud Storage and publishes a message in Cloud Pub/Sub for further usage.

#google-cloud-platform #google-cloud-functions #google-cloud-pubsub #python #cloud

Zelma  Gerlach

Zelma Gerlach

1620873120

A python package to manage paths on Google Cloud Storage

Are you used to pathlib’s Path objects and frustrated when using GCSFileSystem objects ? The TransparentPath package is made for you.

What is it good for and how to use it

When I first started using Google Cloud Plateform (GCP), I faced the following difficulty : reading and writing files from/to Google Cloud Storage (GCS) easily in a Python code. For local files, I am used to the Pathlib library, that makes using paths really easy and intuitive by overloading truediv_ to allow bash-like paths creation, and by implementing a lot of useful methods like globlsunlink … that can be called on the path object directly. The class that allows one to use paths on GCS in Python is GCSFileSystem, from the package gcsfs, and it does not have all those handy features, for the main object will not be a file but a file system.

#python3 #google-cloud-platform #cloud-storage #google-cloud-storage #cloud