AWS Compute Blog
Category: Amazon CloudWatch
Operating Lambda: Isolating and resolving issues
This blog post outlines a general approach to debugging Lambda performance issues and errors. This provides a repeatable process for isolating and resolving problems in your serverless workloads. Using the walkthrough of the Coffee Lookup application, I show how to reproduce a production bug, isolate the cause of errors, and then isolate the performance issue.
Operating Lambda: Logging and custom metrics
Many existing monitoring and observability concepts also apply to Lambda-based applications. This post introduces key terms, application performance monitoring, with broad metrics can be useful for monitoring workloads.
Operating Lambda: Using CloudWatch Logs Insights
CloudWatch Logs Insights allows you to search and analyze log data to find the causes of issues and help validate fixes when they are deployed. This post shows how to enable the feature for a Lambda function and search across logs. It explains why structured logging can be helpful for parsing data in analysis.
Operating Lambda: Debugging configurations – Part 3
This post explains common integration errors in Lambda-based applications. These include running an unintended version or alias of a function, triggering infinite loops unintentionally, and issues with downstream availability. In each case, I explain steps you can take to remediate the issue.
Operating Lambda: Debugging configurations – Part 2
This is the second post in a series on debugging Lambda-based applications. This post shows how to identify and resolve memory and CPU-bound functions, and how to understand and use timeouts effectively in production applications.
Managing domain membership of dynamic fleet of EC2 instances
This post is written by Alex Zarenin, Senior AWS Solution Architect, Microsoft Tech. Updated: February 10, 2021 1. Introduction For most companies, a move of Microsoft workloads to AWS starts with “lift and shift” where existing workloads are moved from the on-premises data centers to the cloud. These workloads may include WEB and API farms, […]
How to monitor Windows and Linux servers and get internal performance metrics
This post was written by Dean Suzuki, Solution Architect Manager. Customers who run Windows or Linux instances on AWS frequently ask, “How do I know if my disks are almost full?” or “How do I know if my application is using all the available memory and is paging to disk?” This blog helps answer these […]
Using AWS Lambda extensions to send logs to custom destinations
You can now send logs from AWS Lambda functions directly to a destination of your choice using AWS Lambda Extensions. Lambda Extensions are a new way for monitoring, observability, security, and governance tools to easily integrate with AWS Lambda. For more information, see “Introducing AWS Lambda Extensions”. To help you troubleshoot failures in Lambda functions, […]
Troubleshooting Amazon API Gateway with enhanced observability variables
Amazon API Gateway is often used for managing access to serverless applications. Additionally, it can help developers reduce code and increase security with features like AWS WAF integration and authorizers at the API level. Because more is handled by API Gateway, developers tell us they would like to see more data points on the individual […]
Load testing a web application’s serverless backend
In this post, I discuss focus areas for load testing of serverless applications, and highlight two tools commonly used. I show how to configure Artillery with customized functions, and how to run tests to simulate load on the Ask Around Me application.