AWS Compute Blog

Category: Amazon CloudWatch

DNS-based load balancing

Enabling load-balancing of non-HTTP(s) traffic on AWS Wavelength

This blog post is written by Jack Chen, Telco Solutions Architect, and Robert Belson, Developer Advocate. AWS Wavelength embeds AWS compute and storage services within 5G networks, providing mobile edge computing infrastructure for developing, deploying, and scaling ultra-low-latency applications. AWS recently introduced support for Application Load Balancer (ALB) in AWS Wavelength zones. Although ALB addresses […]

Diagram depicting an Outpost that a customer has shared to three different accounts using RAM. The three different accounts each have a different application deployed in them.

Monitoring shared AWS Outposts rack capacity

This post is written by Adam Imeson, Sr. Hybrid Edge Specialist Solutions Architect. AWS Outposts rack is a fully-managed service that offers the same AWS infrastructure, APIs, tools, and a subset of AWS services to any data center, colocation space, or on-premises facility for a consistent hybrid experience. Outposts rack is ideal for workloads that […]

MWAA Dashboard

Introducing container, database, and queue utilization metrics for the Amazon MWAA environment

This post is written by Uma Ramadoss (Senior Specialist Solutions Architect), and Jeetendra Vaidya (Senior Solutions Architect). Today, AWS is announcing the availability of container, database, and queue utilization metrics for Amazon Managed Workflows for Apache Airflow (Amazon MWAA). This is a new collection of metrics published by Amazon MWAA in addition to existing Apache […]

Lambda concurrency at particular times

Understanding AWS Lambda scaling and throughput

Update: AWS Lambda functions now scale 12 times faster when handling high-volume requests. For more information, see the announcement post. AWS Lambda provides a serverless compute service that can scale from a single request to hundreds of thousands per second. When designing your application, especially for high load, it helps to understand how Lambda handles […]

putProduct trace view

Simplifying serverless best practices with AWS Lambda Powertools for TypeScript

This blog post is written by Sara Gerion, Senior Solutions Architect. Development teams must have a shared understanding of the workloads they own and their expected behaviors to deliver business value fast and with confidence. The AWS Well-Architected Framework and its Serverless Lens provide architectural best practices for designing and operating reliable, secure, efficient, and cost-effective […]

architecture used in this post

Automating Amazon EC2-Windows EBS Volumes monitoring and creating alarms

This blog post is written by, Santhosh Kumar Adapa, Database Consultant,  AWS WWCO ProServe,  Jeevan Shetty, Database Consultant, AWS WWCO ProServe, and Bhanu Ganesh Gudivada, Consultant  Databases, AWS WWCO ProServe. Customers who are running fleets of Amazon Elastic Compute Cloud (Amazon EC2) instances use advanced monitoring techniques to observe their operational performance. Capabilities like aggregated and […]

CloudWatch Console

Capturing GPU Telemetry on the Amazon EC2 Accelerated Computing Instances

This post is written by Amr Ragab, Principal Solutions Architect EC2. AWS is excited to announce the native integration of monitoring GPU metrics through the CloudWatch Agent. Customers can now easily monitor GPU utilization and its memory to scale their workloads more effectively without custom scripts. In this post, we’ll describe how to allow GPU […]

Concept of defining computing quotas

Creating computing quotas on AWS Outposts rack with EC2 Capacity Reservations sharing

This post is written by Yi-Kang Wang, Senior Hybrid Specialist SA. AWS Outposts rack is a fully managed service that delivers the same AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises datacenter or co-location space for a truly consistent hybrid experience. AWS Outposts rack is ideal for workloads that require low latency […]

Performance graph

Monitoring and tuning federated GraphQL performance on AWS Lambda

There are multiple factors to consider when tuning a federated GQL system. You must be aware of trade-offs when deciding on factors like the runtime environment of Lambda functions. An extensive testing strategy can help you scale systems and narrow down issues quickly. Well-defined testing can also keep pipelines clean of false-positive blockages.