AWS Compute Blog

Update: The complete blog series and supporting GitHub repository is now available: Part 1: Introducing the new Serverless LAMP stack Part 2: Scaling relational databases Part 3: Replacing the web server Part 4: Building a serverless Laravel application Part 5: The CDK construct library for the serverless LAMP stack Part 6: From MVC to serverless […]

This post is contributed by Alberto Falzone, Consultant, HPC and Roberto Meda, Senior Consultant, HPC. High Performance Computing (HPC) workflows across industry verticals such as Design and Engineering, Oil and Gas, and Life Sciences often require GPU-based 3D/OpenGL rendering. Setting up drivers and applications for these types of workflows can require significant effort. Similar GPU […]

This post was written by Sivasamy Subramaniam, AWS Database Consultant. In this post, I discuss enabling X11 forwarding from Red Hat Enterprise Linux (RHEL), Amazon Linux, SUSE Linux, Ubuntu servers running on Amazon EC2. This is helpful for system and database administrators, and application teams that want to perform software installations on Amazon EC2 using […]

Queues, publish/subscribe services, and event buses are important parts of a resilient, well-architected serverless application. These are provided in AWS by SQS, SNS, and EventBridge.

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 […]

This post was written by Christian Kniep, Senior Developer Advocate for HPC and AWS Batch.  For HPC workloads, visibility into the logs of jobs is important to debug a job which failed, but also to have insights into a running job and track its trajectory to influence the configuration of the next job or terminate […]

In this blog post, you train an XGBoost breast cancer model using Python packages installed on an Amazon EFS file system. You create an AWS Lambda function that loads the Python packages and the model from EFS file system, and perform the predictions. 

This blog post shows some of the best practices when using Lambda with Kinesis. It covers operational levers for high-throughput, low latency, single source data processing pipelines.

Messaging is an important part of serverless applications and AWS services provide queues, publish/subscribe, and event routing capabilities. This post reviews the main features of SNS, SQS, and EventBridge and how they provide different capabilities for your workloads.

Amazon API Gateway HTTP APIs enable you to create RESTful APIs with lower latency and lower cost than API Gateway REST APIs. The API Gateway team is continuing work to improve and migrate popular REST API features to HTTP APIs. We are adding two of the most requested features, AWS Identity and Access Management (IAM) […]