Category: Best Practices

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 identify 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 […]

In this blog post, I explain how to secure workloads with public endpoints and the different authentication and authorization options available. I also show different approaches to exposing APIs publicly.

This post explains the Lambda execution environment and how the service protects customer data. It covers important steps you should take to prevent data leakage between invocations and provides additional security resources to review.

This post discusses choosing and managing runtimes, the effect on performance, and how you can use multiple runtimes within a single serverless application. It explains the networking model and whether a Lambda function must have access to a customer VPC or can run with the default VPC configuration. It also compares the different invocation modes for Lambda functions.

This post explains scaling and concurrency in Lambda and the different behaviors of on-demand and Provisioned Concurrency. It also shows how to use service integrations and asynchronous patterns in Lambda-based applications. Finally, I discuss how reserved concurrency works and how to use it in your application design.

Lambda works with other AWS services to process and manage requests and data. This post explains how to understand and manage Service Quotas, when to request increases, and architecting with quotas in mind. It also explains how to control traffic for downstream server-based resources.

This post is written by Kinnar Sen, Senior Solutions Architect, EC2 Spot  Apache Spark is an open-source, distributed processing system used for big data workloads. It provides API operations to perform multiple tasks such as streaming, extract transform load (ETL), query, machine learning (ML), and graph processing. Spark supports four different types of cluster managers (Spark standalone, Apache […]