Category: Best Practices

Amazon EC2 offers AMD-based instances built on multiple generations of AMD EPYC processors. This post focuses on optimization strategies for the 3rd and 4th generation families, which provide enhanced capabilities for compute and memory-intensive workloads.

Delightful developer experience is an important part of building serverless applications efficiently, whether you’re creating an automation script or developing a complex enterprise application. While AWS Lambda has transformed modern application development in the cloud with its serverless computing model, developers spend significant time working in their local environments. They rely on familiar IDEs, debugging […]

When expanding your Graviton deployment across multiple AWS Regions, careful planning helps you navigate considerations around regional instance type availability and capacity optimization. This post shows how to implement advanced configuration strategies for Graviton-enabled EC2 Auto Scaling groups across multiple Regions, helping you maximize instance availability, reduce costs, and maintain consistent application performance even in AWS Regions with limited Graviton instance type availability.

In this post, we explore the architecture considerations that come into play when deciding between a multi-rack logical Outposts rack, or using multiple Outposts racks to support your highly available workloads.

Cold starts are an important consideration when building applications on serverless platforms. In AWS Lambda, they refer to the initialization steps that occur when a function is invoked after a period of inactivity or during rapid scale-up. While typically brief and infrequent, cold starts can introduce additional latency, making it essential to understand them, especially […]

This blog post discusses the AWS Lambda as orchestrator anti-pattern and how to redesign serverless solutions using AWS Step Functions with native integrations.

Introduced at re:Invent 2022, SnapStart is a performance optimization that makes it easier to build highly responsive and scalable applications using AWS Lambda. The largest contributor to startup latency (often referred to as cold-start time) is the time spent initializing a function. This post discusses ‘Priming’, a technique to further optimize startup times for AWS Lambda functions built using Java and Spring Boot.

In this post, we review best practices for capacity management and fault tolerance with Outposts rack followed by an example of how the Outposts API can be used to build an automated monitoring and alerting system to highlight potential resiliency issues.

This post is written by Tyler Jones, Senior Solutions Architect – Graviton, AWS. Performance tuning the Renaissance Finagle-http benchmark Sometimes software doesn’t perform the way it’s expected to across different systems. This can be due to a configuration error, code bug, or differences in hardware performance. Amazon APerf is a powerful tool designed to help […]

This post is written by Craig Warburton, Senior Solutions Architect, Hybrid. Sedji Gaouaou, Senior Solutions Architect, Hybrid. Brian Daugherty, Principal Solutions Architect, Hybrid. Migrating workloads to AWS Outposts rack offers you the opportunity to gain the benefits of cloud computing while keeping your data and applications on premises. For organizations with strict data residency requirements, […]