AI BriefingLearning DevOps and AWS Through Practice: Building and Scaling a Service
Key point
It covers the process of AWS-based service scaling and DevOps automation experienced while building Repl.it's code execution service.
Details
This shares the practical-focused process of expanding AWS infrastructure experienced while building Repl.it's code execution service. Initially, the service was built simply using Go and Docker.
At first, the team used a method of directly accessing a single EC2 instance to deploy code. However, as the service grew in scale, OutOfMemoryError occurred, and they faced the problem of the single instance becoming a single point of failure (SPOF).
To solve this, they introduced Horizontal Scaling. They created pre-configured instance images via AMI and used AWS Elastic Load Balancer (ELB) to distribute traffic. In particular, they recommend using Application Load Balancer (ALB) to reliably handle Websocket connections.
As the service grew, problems such as hardware failures and instance replacements became frequent, and manual management reached its limits. To overcome this, they gradually introduced automation utilizing CodeDeploy, EC2 Launch Configuration, and EC2 AutoScaling group.
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