AWS Compute Blog
Best practices to optimize your Amazon EC2 Spot Instances usage
This blog post is written by Pranaya Anshu, EC2 PMM, and Sid Ambatipudi, EC2 Compute GTM Specialist. Amazon EC2 Spot Instances are a powerful tool that thousands of customers use to optimize their compute costs. The National Football League (NFL) is an example of customer using Spot Instances, leveraging 4000 EC2 Spot Instances across more […]
Automating stopping and starting Amazon MWAA environments to reduce cost
This was written by Uma Ramadoss, Specialist Integration Services, and Chandan Rupakheti, Solutions Architect. This blog post shows how you can save cost by automating the stopping and starting of an Amazon Managed Workflows for Apache Airflow (Amazon MWAA) environment. It describes how you can retain the data stored in a metadata database and presents […]
Monitor Amazon SNS-based applications end-to-end with AWS X-Ray active tracing
This post is written by Daniel Lorch, Senior Consultant and David Mbonu, Senior Solutions Architect. Amazon Simple Notification Service (Amazon SNS), a messaging service that provides high-throughput, push-based, many-to-many messaging between distributed systems, microservices, and event-driven serverless applications, now supports active tracing with AWS X-Ray. With AWS X-Ray active tracing enabled for SNS, you can […]
Debugging SnapStart-enabled Lambda functions made easy with AWS X-Ray
This post is written by Rahul Popat (Senior Solutions Architect) and Aneel Murari (Senior Solutions Architect) Today, AWS X-Ray is announcing support for SnapStart-enabled AWS Lambda functions. Lambda SnapStart is a performance optimization that significantly improves the cold startup times for your functions. Announced at AWS re:Invent 2022, this feature delivers up to 10 times faster function startup times for […]
Implementing cross-account CI/CD with AWS SAM for container-based Lambda functions
Containerized applications often have several distinct environments and accounts, such as dev, test, and prod. An application has to go through a process of deployment and testing in these environments. One common pattern for deploying containerized applications is to have a central AWS create a single container image, and carry out deployment across other AWS accounts. To achieve automated deployment of the application across different environments, customers use CI/CD pipelines with familiar container tooling. This blog post explores how to use AWS Serverless Application Model (AWS SAM) Pipelines to create a CI/CD deployment pipeline and deploy a container-based Lambda function across multiple accounts.
AWS Nitro System gets independent affirmation of its confidential compute capabilities
Anthony Liguori is an AWS VP and Distinguished Engineer for EC2. Customers around the world trust AWS to keep their data safe, and keeping their workloads secure and confidential is foundational to how we operate. Since the inception of AWS, we have relentlessly innovated on security, privacy tools, and practices to meet, and even exceed, […]
Extending a serverless, event-driven architecture to existing container workloads
The blog explains a way to integrate existing container workload running on AWS Fargate with a new event-driven architecture. You use EventBridge to decouple different services from each other that are built using different compute technologies, languages, and frameworks. Using AWS CDK, you gain the modularity of building services decoupled from each other.
Patterns for building an API to upload files to Amazon S3
This post explores three different approaches to securely upload content to an Amazon S3 bucket via HTTPS without the need to build a dedicated API or client application.
Best Practices for managing data residency in AWS Local Zones using landing zone controls
This blog post is written by Abeer Naffa’, Sr. Solutions Architect, Solutions Builder AWS, David Filiatrault, Principal Security Consultant, and Jared Thompson Hybrid Edge SA Specialist. In this post, we discuss how you can leverage AWS Control Tower landing zone and AWS Organizations custom policies – guardrails – at the root level, known as Service […]
AWS Lambda now supports Java 17
This post was written by Mark Sailes, Senior Specialist Solutions Architect, Serverless. You can now develop AWS Lambda functions with the Amazon Corretto distribution of Java 17. This version of Corretto comes with long-term support (LTS), which means it will receive updates and bug fixes for an extended period, providing stability and reliability to developers […]