For entrepreneurs, startups, and established companies trying out new projects, there hopefully comes a time when interest in the app increases such that incoming traffic levels start to rise significantly. This will likely necessitate various improvements to the infrastructure running the application so that it’s more robust, reliable and scalable.
The application may previously have been running on a cheap hosted server on a service like DigitalOcean, Linode or OVHcloud, or possibly even a single EC2 (Elastic Compute Cloud) instance on AWS (Amazon Web Services), and the desired solution would now be to move the application to a dynamically auto-scaled EC2 environment so that it can handle the increasing traffic without resource problems and site downtime.
In order to achieve this, it will also be necessary to set up the database on AWS, and the most realistic solution for this is to use Amazon’s RDS (Relational Database Service). I’ve recently covered this process in my article Migrating a MySQL database to AWS (with specific focus on RDS). You’ll also need to set up a load balancer, most likely an ELB (Elastic Load Balancer), to balance the incoming traffic across the auto-scaled EC2 application instances. I’ve recently covered this topic also, in my article Choosing and setting up a load balancer in AWS. So have a read through both of those articles to begin with, and below I’ll cover the rest of the process, i.e. auto-scaling the application instances on EC2.
Continue reading “How to migrate an application to AWS with auto-scaled EC2 instances”
When you want to run your web application on more than one EC2 instance for scaling and redundancy purposes, you will probably require some form of load balancer to distribute incoming requests evenly across the instances. There are various possible solutions for this.
One option is to launch another EC2 instance and install a load balancer on it yourself. There are quite a few open source load balancing options, though I would tend to recommend HAProxy as it’s fast, efficient, secure, and very flexible. This option involves setting up your Linux instance and installing the software you need yourself, then configuring your chosen load balancer and installing your SSL certificates, etc. Additionally you would need to estimate the necessary instance size to run the load balancing software without getting overloaded and slowing the site down (bearing in mind that SSL termination can be particularly CPU-intensive), then monitoring it accordingly.
Unless there’s a particular reason to take the approach of installing a load balancer on an EC2 instance, a simpler and more effective option – especially for companies taking their first steps into scaling multiple instances for their application – is likely to be Amazon’s own ELB (Elastic Load Balancer). This doesn’t require an EC2 instance with Linux setup, software installation and configuration, etc. It provides a simple interface with easy SSL termination and it will scale itself automatically as needed, so there is little required in the way of planning and monitoring.
Continue reading “How to choose and set up a load balancer in AWS”
This article describes the process of creating a Slack notification from a CloudWatch alarm generated from an undesirable state in an SQS (Simple Queue Service) queue, via SNS (Simple Notification Service) and Lambda.
You can of course modify any of these to suit your differing requirements. For example, the source could be a different SQS state, or the source could be some other AWS service rather than SQS, or you may want to send the notification to somewhere other than Slack (in which case a different Lambda function may be required), etc.
Continue reading “How to create a Slack notification from a CloudWatch alarm for an SQS queue, via SNS and Lambda”