Category: Best Practices

This post is written by Fahad Mustafa, Cloud Application Architect, AWS Professional Services There are many ways to deploy ASP.NET web apps to AWS. Each with its own use cases and differing pricing models. But what if you have a small website and database that you must deploy rapidly, manage, and scale? What if you […]

This post is written by Pallavi Ravishankar a Senior Product Manager and Jason Nicholls an Enterprise Solutions Architect. Failure management is a key part of the reliability pillar within the AWS Well-Architected Framework. But things fail, and operating systems are no exception. An operating system update, application update, a misconfiguration, missing driver, or incorrect security […]

This post is the final part in a 3-part series on performance optimization in Lambda. The Lambda service makes frequent performance improvements in the underlying hardware, software, and architecture of the service. This post identifies the parts of the Lambda lifecycle where developers can make the most impact on performance.

This post is the second in a 3-part series on performance optimization in Lambda. It explains the effect of the memory configuration on Lambda performance, and why the memory setting also controls the compute power and networking I/O available to a function.

This post is the first in a 3-part series on performance optimization in Lambda. It explains how the Lambda execution environment works and why cold starts occur.

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.

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.

This is the second post in a series on debugging Lambda-based applications. This post shows how to identity and resolve memory and CPU-bound functions, and how to understand and use timeouts effectively in production applications.

Debugging serverless applications is different to debugging single-server or monolithic applications. You must consider debugging across multiple invocations and services, and understanding the state of a distributed workload.

This post is written by Tyler Lynch, Sr. Solutions Architect – EdTech, and Praneeth Tekula, Technical Account Manager. As customers seek performance improvements and to cost optimize their workloads, they are evaluating and adopting AWS Graviton2 based instances. This post provides instructions on how to configure your Amazon EC2 Auto Scaling group (ASG) to use […]