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Autoscaling Application with AutoScaling Groups and AWS LoadBalancer

Posted On 09 February 2019 By MicroPyramid

Autoscaling Application with AutoScaling Groups and AWS LoadBalancer

How to Build and verify an application using aws codepipeline and creating custom events with lambda

Posted On 30 October 2018 By MicroPyramid

How to build and verify an application using aws codepipeline and creating custom events with lambda.

AWS tips and tricks to optimise cost and performance for better ROI

Posted On 03 August 2018 By MicroPyramid

AWS tips and tricks to optimize cost and performance for better ROI

How to process message queuing system by amazon SQS

Posted On 05 May 2017 By MicroPyramid

Amazon Simple Queue Service (Amazon SQS) is a distributed messaging queue oriented service.
Queued items in SQS are called messages which are variable in size but can be no larger than 256KB. SQS doesn’t guarantee delivery order or that a message will be delivered only once. Using Visibility Timeout we can ensures once a message has been retrieved it will not be resent for a given period of time.

Easy and Fast way to implement AWS Lambda service

Posted On 27 January 2017 By MicroPyramid

We are going to use a simple application called Gordan to prevent creating a lambda function and triggering actions which involves time taking and repetitive steps.

How To Send And Receive Email With Django And Amazon SES

Posted On 19 January 2017 By MicroPyramid

django-ses-gateway a pluggable Django application is used for sending mails from your verified domains and verified emails. We can also use django-ses-gateway for receiving messages and deliver them to an Amazon S3 bucket in an encrypted format, publish notifications to Amazon SNS to process the response or call your custom code via an AWS Lambda function.

Autoscaling Application with AutoScaling Groups and AWS LoadBalancer

In this Blog Post, let us look at how to make your website highly available and scalable using AWS Load Balancer and AutoScaling Groups

Creating AMI:

  1. Launch an instance, Setup your application on it and shut it down.
  2. Go to your AWS EC2 Console. Select your instance and create ...

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