AWS Compute Blog

Chris Munns

Author: Chris Munns

Chris Munns is the Tech Lead & Advisor for the Startup Solution Architecture organization at Amazon Web Services. Chris works with peers at AWS on how to better support AWS’s startup customers and directly engages with helping hot startups overcome complex technical challenges. At AWS for over 10 years, Chris has previously led Developer Advocacy for AWS Serverless technologies, was the global Business Development Manager for DevOps technologies, and was a Solutions Architect in the early days of the AWS field. Before AWS, Chris held senior operations engineering posts at Etsy, Meetup, and other NYC based startups. Chris has a Bachelor of Science in Applied Networking and System Administration from the Rochester Institute of Technology.

The attendee’s guide to the AWS re:Invent 2023 Compute track

This post by Art Baudo – Principal Product Marketing Manager – AWS EC2, and Pranaya Anshu – Product Marketing Manager – AWS EC2 We are just a few weeks away from AWS re:Invent 2023, AWS’s biggest cloud computing event of the year. This event will be a great opportunity for you to meet other cloud […]

It’s About Time: Microsecond-Accurate Clocks on Amazon EC2 Instances

This post is written by Josh Levinson, AWS Principal Product Manager and Julien Ridoux, AWS Principal Software Engineer Today, we announced that we improved the Amazon Time Sync Service to microsecond-level clock accuracy on supported Amazon EC2 instances. This new capability adds a local reference clock to your EC2 instance and is designed to deliver […]

An attendee’s guide to hybrid cloud and edge computing at AWS re:Invent 2023

This post is written by Savitha Swaminathan, AWS Sr. Product Marketing Manager AWS re:Invent 2023 starts on Nov 27th in Las Vegas, Nevada. The event brings technology business leaders, AWS partners, developers, and IT practitioners together to learn about the latest innovations, meet AWS experts, and network among their peer attendees. This year, AWS re:Invent […]

Hosting Hugging Face models on AWS Lambda for serverless inference

This post written by Eddie Pick, AWS Senior Solutions Architect – Startups and Scott Perry, AWS Senior Specialist Solutions Architect – AI/ML Hugging Face Transformers is a popular open-source project that provides pre-trained, natural language processing (NLP) models for a wide variety of use cases. Customers with minimal machine learning experience can use pre-trained models […]

DLQ configured per target

Improved failure recovery for Amazon EventBridge

Today we’re announcing two new capabilities for Amazon EventBridge – dead letter queues and custom retry policies. Both of these give you greater flexibility in how to handle any failures in the processing of events with EventBridge. You can easily enable them on a per target basis and configure them uniquely for each. Dead letter […]

Implementing FIFO message ordering with Amazon MQ for Apache ActiveMQ

This post is contributed by Ravi Itha, Sr. Big Data Consultant Messaging plays an important role in building distributed enterprise applications. Amazon MQ is a key offering within the AWS messaging services solution stack focused on enabling messaging services for modern application architectures. Amazon MQ is a managed message broker service for Apache ActiveMQ that […]

Using cost allocation tags with AWS ParallelCluster

This post is courtesy of Dario La Porta, Senior Consultant, HPC. With high performance computing (HPC) workloads running in the AWS Cloud, customers can scale workloads easily and select from a variety of instance types. With this additional flexibility, elasticity, and scale, it’s important to track your costs and resource utilization for specific projects or […]

Document Design Diagram

Executing Ansible playbooks in your Amazon EC2 Image Builder pipeline

This post is contributed by Andrew Pearce – Sr. Systems Dev Engineer, AWS Since launching Amazon EC2 Image Builder, many customers say they want to re-use existing investments in configuration management technologies (such as Ansible, Chef, or Puppet) with Image Builder pipelines. In this blog, I walk through creating a document that can execute an Ansible […]