AWS Compute Blog

Category: Amazon CloudWatch

Lambda runtimes

Managing AWS Lambda runtime upgrades

This post is written by Julian Wood, Principal Developer Advocate, and Dan Fox, Principal Specialist Serverless Solutions Architect. AWS Lambda supports multiple programming languages through the use of runtimes. A Lambda runtime provides a language-specific execution environment, which provides the OS, language support, and additional settings, such as environment variables and certificates that you can access from […]

Image order system

Detecting and stopping recursive loops in AWS Lambda functions

This post is written by Pawan Puthran, Principal Serverless Specialist TAM, Aneel Murari, Senior Serverless Specialist Solution Architect, and Shree Shrikhande, Senior AWS Lambda Product Manager. AWS Lambda is announcing a recursion control to detect and stop Lambda functions running in a recursive or infinite loop. At launch, this feature is available for Lambda integrations […]

The AWS CDK stack workflow

Deploying an automated Amazon CloudWatch dashboard for AWS Outposts using AWS CDK

This post is written by Enrico Liguori, Networking Solutions Architect, Hybrid Cloud and Sumeeth Siriyur, Sr. Hybrid Cloud Solutions Architect. AWS Outposts is a fully managed service that brings the same AWS infrastructure, services, APIs, and tools to virtually any data center, colocation space, manufacturing floor, or on-premises facility where it might be needed. With Outposts, […]

Architectural diagram: CDK building connections between EventBridge, Lambda, S3, and CloudWatch to generate dashboards

Optimizing Amazon EC2 Spot Instances with Spot Placement Scores

This blog post is written by Steve Cole, Principal Specialist SA, and Robert McCone, Sr. Specialist SA. Getting the compute resources you need, even vCPUS numbering in the millions, and completing a workload using Amazon EC2 Spot Instances is just a configuration away. In this post you will learn how to use Spot placement scores […]

Architecture Diagram depicting the integration between AWS Systems Manager with RunCommand Arguments stored in SSM Parameter Store, your Amazon GPU enabled EC2 instance with installed Amazon CloudWatch Agen­t, and Amazon CloudWatch Dashboard that aggregates and displays the ­reported metrics.

Optimizing GPU utilization for AI/ML workloads on Amazon EC2

­­­­This blog post is written by Ben Minahan, DevOps Consultant, and Amir Sotoodeh, Machine Learning Engineer. Machine learning workloads can be costly, and artificial intelligence/machine learning (AI/ML) teams can have a difficult time tracking and maintaining efficient resource utilization. ML workloads often utilize GPUs extensively, so typical application performance metrics such as CPU, memory, and […]

ICYMI2023Q1

Serverless ICYMI Q1 2023

February 12, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Welcome to the 21st edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all the most recent product launches, feature enhancements, blog posts, webinars, […]

AWS X-Ray trace view

Introducing AWS Lambda Powertools for .NET

CloudWatch and AWS X-Ray offer functionality that provides comprehensive observability for your applications. Lambda Powertools .NET is now generally available. The library helps implement observability when running Lambda functions based on .NET 6 while reducing the amount of custom code.

This figure shows the CloudWatch graph of three metrics – the total CPU Utilization of the Auto Scaling group, the load forecast generated by predictive scaling, and the derived metric using metric math that measures error for over-forecasting

Adopt Recommendations and Monitor Predictive Scaling for Optimal Compute Capacity

This post is written by Ankur Sethi, Sr. Product Manager, EC2, and Kinnar Sen, Sr. Specialist Solution Architect, AWS Compute. Amazon EC2 Auto Scaling helps customers optimize their Amazon EC2 capacity by dynamically responding to varying demand. Based on customer feedback, we enhanced the scaling experience with the launch of predictive scaling policies. Predictive scaling […]