Serverless technology has made it possible to deploy code without knowing anything about the underlying server infrastructure. As a result, running code in the cloud has never been easier.
AWS Lambda was the first function-as-a-service (FaaS) offering, and it is an attractive option for running workloads in the cloud. This is not only because of the hassle-free deployment but also because of the advantages it brings in terms of scalability and pricing.
Although managing servers is not a concern with AWS Lambda, functions still need to be monitored like any other code to ensure that they continue to operate in a stable manner and to keep costs under control. Logs and metrics from AWS Lambda functions are collected in CloudWatch, but it can be tedious to locate the right information.
The ELK stack, on the other hand, is well-known for how it can be used to quickly and easily perform analytics on vast amounts of data. It’s also useful for centralizing log data from various sources, so you can get a unified view of all your digital resources whether they’re in the cloud or not.
In this article, I’ll show you how you can use ELK to get the best insights into your AWS Lambda functions.