Ida  Nader

Ida Nader

1597667878

Real-time 3D Map View of Your Entire Serverless Environment

We’re pleased and honored to be part of the Serverless revolution - continuously innovating to make processes and day-to-day tasks for serverless users more efficient, seamless and enjoyable.

So let’s get right into the new and exciting stuff now! Earlier this year, Dashbird launched the very well-received Insights Engine designed to encourage a proactive approach when building and operating serverless applications. It works by cross-referencing your cloud resources, such as functions, queues, databases, against well-architected industry practices to detect potential issues and security concerns before they impact your application health.

Our users found this new feature highly valuable so we really wanted to take it to the next level and make the process of building and debugging large-scale, distributed applications on serverless environments even smoother, faster and easier for our Serverless developers.

Enter: Dashbird Atlas.

Let us take you through this beast of a powerful real-time observability tool now. Get ready to see your serverless infrastructure in a whole different light and…dimension.

Dashbird Atlas visualizes individual components of your serverless environment and the connections and dependencies between them, entirely in real-time! All of your existing resources and their states are displayed in their live state in this 3D map.

#serverless #observability #monitoring #debugging #data-visualization #management #aws #good-company

What is GEEK

Buddha Community

Real-time 3D Map View of Your Entire Serverless Environment
Ian  Robinson

Ian Robinson

1621644000

4 Real-Time Data Analytics Predictions for 2021

Data management, analytics, data science, and real-time systems will converge this year enabling new automated and self-learning solutions for real-time business operations.

The global pandemic of 2020 has upended social behaviors and business operations. Working from home is the new normal for many, and technology has accelerated and opened new lines of business. Retail and travel have been hit hard, and tech-savvy companies are reinventing e-commerce and in-store channels to survive and thrive. In biotech, pharma, and healthcare, analytics command centers have become the center of operations, much like network operation centers in transport and logistics during pre-COVID times.

While data management and analytics have been critical to strategy and growth over the last decade, COVID-19 has propelled these functions into the center of business operations. Data science and analytics have become a focal point for business leaders to make critical decisions like how to adapt business in this new order of supply and demand and forecast what lies ahead.

In the next year, I anticipate a convergence of data, analytics, integration, and DevOps to create an environment for rapid development of AI-infused applications to address business challenges and opportunities. We will see a proliferation of API-led microservices developer environments for real-time data integration, and the emergence of data hubs as a bridge between at-rest and in-motion data assets, and event-enabled analytics with deeper collaboration between data scientists, DevOps, and ModelOps developers. From this, an ML engineer persona will emerge.

#analytics #artificial intelligence technologies #big data #big data analysis tools #from our experts #machine learning #real-time decisions #real-time analytics #real-time data #real-time data analytics

Jessica Smith

Jessica Smith

1612606870

REAL TIME CHAT SOLUTIONS SERVICES FOR MOBILE APPS

Build a Real Time chat application that can integrated into your social handles. Add more life to your website or support portal with a real time chat solutions for mobile apps that shows online presence indicators, typing status, timestamp, multimedia sharing and much more. Users can also log into the live chat app using their social media logins sparing them from the need to remember usernames and passwords. For more information call us at +18444455767 or email us at hello@sisgain.com or Visit: https://sisgain.com/instant-real-time-chat-solutions-mobile-apps

#real time chat solutions for mobile apps #real time chat app development solutions #live chat software for mobile #live chat software solutions #real time chat app development #real time chat applications in java script

Ida  Nader

Ida Nader

1597667878

Real-time 3D Map View of Your Entire Serverless Environment

We’re pleased and honored to be part of the Serverless revolution - continuously innovating to make processes and day-to-day tasks for serverless users more efficient, seamless and enjoyable.

So let’s get right into the new and exciting stuff now! Earlier this year, Dashbird launched the very well-received Insights Engine designed to encourage a proactive approach when building and operating serverless applications. It works by cross-referencing your cloud resources, such as functions, queues, databases, against well-architected industry practices to detect potential issues and security concerns before they impact your application health.

Our users found this new feature highly valuable so we really wanted to take it to the next level and make the process of building and debugging large-scale, distributed applications on serverless environments even smoother, faster and easier for our Serverless developers.

Enter: Dashbird Atlas.

Let us take you through this beast of a powerful real-time observability tool now. Get ready to see your serverless infrastructure in a whole different light and…dimension.

Dashbird Atlas visualizes individual components of your serverless environment and the connections and dependencies between them, entirely in real-time! All of your existing resources and their states are displayed in their live state in this 3D map.

#serverless #observability #monitoring #debugging #data-visualization #management #aws #good-company

Ian  Robinson

Ian Robinson

1623970020

Operational Analytics: Building a Real-time Data Environment for Business

Disruptive technologies, cloud computing and IoT devices continue to evolve and proliferate. As a result, businesses are generating and collecting more data than ever before. However, the challenge here is not gathering the data, but using it in the right way. Businesses are leveraging futuristic analytics features to better understand the data. One such solution is operational analytics.

Data is exponentially increasing every movement. Every time a customer interacts with a website or device, an unimaginable amount of data is generated. Meanwhile, when employees use a company-issued tablet or device to do their jobs, they add more data to the company’s data house. The data goes useless if it is not utilized properly. Henceforth, businesses are adopting operational analytics to increase workplace efficiency, driving competitive advantages, and delighting customers. Operational analytics is at the beginning of gaining ground in the business industry. A survey conducted by Capgemini Consulting on around 600 executives from the US, Europe and China suggests that over 70% of organizations now put more emphasis on operations than on consumer-focused processes for their analytics initiatives. However, only 39% of organizations in the survey said they have extensively integrated their operational analytics initiatives with their business processes and barely 29% of them have successfully achieved their desired objectives from their initiatives.

#big data #data management #latest news #operational analytics: building a real-time data environment for business #operational analytics #building a real-time data environment for business

Hermann  Frami

Hermann Frami

1655426640

Serverless Plugin for Microservice Code Management and Deployment

Serverless M

Serverless M (or Serverless Modular) is a plugin for the serverless framework. This plugins helps you in managing multiple serverless projects with a single serverless.yml file. This plugin gives you a super charged CLI options that you can use to create new features, build them in a single file and deploy them all in parallel

splash.gif

Currently this plugin is tested for the below stack only

  • AWS
  • NodeJS λ
  • Rest API (You can use other events as well)

Prerequisites

Make sure you have the serverless CLI installed

# Install serverless globally
$ npm install serverless -g

Getting Started

To start the serverless modular project locally you can either start with es5 or es6 templates or add it as a plugin

ES6 Template install

# Step 1. Download the template
$ sls create --template-url https://github.com/aa2kb/serverless-modular/tree/master/template/modular-es6 --path myModularService

# Step 2. Change directory
$ cd myModularService

# Step 3. Create a package.json file
$ npm init

# Step 3. Install dependencies
$ npm i serverless-modular serverless-webpack webpack --save-dev

ES5 Template install

# Step 1. Download the template
$ sls create --template-url https://github.com/aa2kb/serverless-modular/tree/master/template/modular-es5 --path myModularService

# Step 2. Change directory
$ cd myModularService

# Step 3. Create a package.json file
$ npm init

# Step 3. Install dependencies
$ npm i serverless-modular --save-dev

If you dont want to use the templates above you can just add in your existing project

Adding it as plugin

plugins:
  - serverless-modular

Now you are all done to start building your serverless modular functions

API Reference

The serverless CLI can be accessed by

# Serverless Modular CLI
$ serverless modular

# shorthand
$ sls m

Serverless Modular CLI is based on 4 main commands

  • sls m init
  • sls m feature
  • sls m function
  • sls m build
  • sls m deploy

init command

sls m init

The serverless init command helps in creating a basic .gitignore that is useful for serverless modular.

The basic .gitignore for serverless modular looks like this

#node_modules
node_modules

#sm main functions
sm.functions.yml

#serverless file generated by build
src/**/serverless.yml

#main serverless directories generated for sls deploy
.serverless

#feature serverless directories generated sls deploy
src/**/.serverless

#serverless logs file generated for main sls deploy
.sm.log

#serverless logs file generated for feature sls deploy
src/**/.sm.log

#Webpack config copied in each feature
src/**/webpack.config.js

feature command

The feature command helps in building new features for your project

options (feature Command)

This command comes with three options

--name: Specify the name you want for your feature

--remove: set value to true if you want to remove the feature

--basePath: Specify the basepath you want for your feature, this base path should be unique for all features. helps in running offline with offline plugin and for API Gateway

optionsshortcutrequiredvaluesdefault value
--name-nstringN/A
--remove-rtrue, falsefalse
--basePath-pstringsame as name

Examples (feature Command)

Creating a basic feature

# Creating a jedi feature
$ sls m feature -n jedi

Creating a feature with different base path

# A feature with different base path
$ sls m feature -n jedi -p tatooine

Deleting a feature

# Anakin is going to delete the jedi feature
$ sls m feature -n jedi -r true

function command

The function command helps in adding new function to a feature

options (function Command)

This command comes with four options

--name: Specify the name you want for your function

--feature: Specify the name of the existing feature

--path: Specify the path for HTTP endpoint helps in running offline with offline plugin and for API Gateway

--method: Specify the path for HTTP method helps in running offline with offline plugin and for API Gateway

optionsshortcutrequiredvaluesdefault value
--name-nstringN/A
--feature-fstringN/A
--path-pstringsame as name
--method-mstring'GET'

Examples (function Command)

Creating a basic function

# Creating a cloak function for jedi feature
$ sls m function -n cloak -f jedi

Creating a basic function with different path and method

# Creating a cloak function for jedi feature with custom path and HTTP method
$ sls m function -n cloak -f jedi -p powers -m POST

build command

The build command helps in building the project for local or global scope

options (build Command)

This command comes with four options

--scope: Specify the scope of the build, use this with "--feature" tag

--feature: Specify the name of the existing feature you want to build

optionsshortcutrequiredvaluesdefault value
--scope-sstringlocal
--feature-fstringN/A

Saving build Config in serverless.yml

You can also save config in serverless.yml file

custom:
  smConfig:
    build:
      scope: local

Examples (build Command)

all feature build (local scope)

# Building all local features
$ sls m build

Single feature build (local scope)

# Building a single feature
$ sls m build -f jedi -s local

All features build global scope

# Building all features with global scope
$ sls m build -s global

deploy command

The deploy command helps in deploying serverless projects to AWS (it uses sls deploy command)

options (deploy Command)

This command comes with four options

--sm-parallel: Specify if you want to deploy parallel (will only run in parallel when doing multiple deployments)

--sm-scope: Specify if you want to deploy local features or global

--sm-features: Specify the local features you want to deploy (comma separated if multiple)

optionsshortcutrequiredvaluesdefault value
--sm-paralleltrue, falsetrue
--sm-scopelocal, globallocal
--sm-featuresstringN/A
--sm-ignore-buildstringfalse

Saving deploy Config in serverless.yml

You can also save config in serverless.yml file

custom:
  smConfig:
    deploy:
      scope: local
      parallel: true
      ignoreBuild: true

Examples (deploy Command)

Deploy all features locally

# deploy all local features
$ sls m deploy

Deploy all features globally

# deploy all global features
$ sls m deploy --sm-scope global

Deploy single feature

# deploy all global features
$ sls m deploy --sm-features jedi

Deploy Multiple features

# deploy all global features
$ sls m deploy --sm-features jedi,sith,dark_side

Deploy Multiple features in sequence

# deploy all global features
$ sls m deploy  --sm-features jedi,sith,dark_side --sm-parallel false

Author: aa2kb
Source Code: https://github.com/aa2kb/serverless-modular 
License: MIT license

#serverless #aws #node #lambda