AWS DevOps Blog

Category: Advanced (300)

A data flow diagram for a Smithy service

Smithy Server and Client Generator for TypeScript (Developer Preview)

We’re excited to announce the Developer Preview of Smithy’s server and client generators for TypeScript. This enables developers to write concise, type-safe code in the same model-first manner that AWS has used to develop its services. Smithy is AWS’s open-source Interface Definition Language (IDL) for web services. AWS uses Smithy and its internal predecessor to […]

Detecting security issues in logging with Amazon CodeGuru Reviewer

Amazon CodeGuru is a developer tool that provides intelligent recommendations for identifying security risks in code and improving code quality. To help you find potential issues related to logging of inputs that haven’t been sanitized, Amazon CodeGuru Reviewer now includes additional checks for both Python and Java. In this post, we discuss these updates and […]

Deep learning image vector embeddings at scale using AWS Batch and CDK

Applying various transformations to images at scale is an easily parallelized and scaled task. As a Computer Vision research team at Amazon, we occasionally find that the amount of image data we are dealing with can’t be effectively computed on a single machine, but also isn’t large enough to justify running a large and potentially […]

Generate DevOps Guru Proactive Insights in ECS using Container Insights

Generating DevOps Guru Proactive Insights for Amazon ECS

Monitoring is fundamental to operating an application in production, since we can only operate what we can measure and alert on. As an application evolves, or the environment grows more complex, it becomes increasingly challenging to maintain monitoring thresholds for each component, and to validate that they’re still set to an effective value. We not […]

Align with best practices while creating infrastructure using CDK Aspects

Organizations implement compliance rules for cloud infrastructure to ensure that they run the applications according to their best practices. They utilize AWS Config to determine overall compliance against the configurations specified in their internal guidelines. This is determined after the creation of cloud resources in their AWS account. This post will demonstrate how to use […]

Orchestrate Jenkins Workloads using Dynamic Pod Autoscaling with Amazon EKS

This blog post will demonstrate how to leverage Jenkins with Amazon Elastic Kubernetes Service (EKS) by running a Jenkins Manager within an EKS pod. In doing so, we can run Jenkins workloads by allowing Amazon EKS to spawn dynamic Jenkins Agent(s) in order to perform application and infrastructure deployment. Traditionally, customers will setup a Jenkins Manager-Agent […]

Use Amazon ECS Fargate Spot with CircleCI to deploy and manage applications in a cost-effective way

This post is written by Pritam Pal, Sr EC2 Spot Specialist SA & Dan Kelly, Sr EC2 Spot GTM Specialist Customers are using Amazon Web Services (AWS) to build CI/CD pipelines and follow DevOps best practices in order to deliver products rapidly and reliably. AWS services simplify infrastructure provisioning and management, application code deployment, software […]

Featured image for the "Build Next-Generation Microservices with .NET 5 and gRPC on AWS" blog post.

Build Next-Generation Microservices with .NET 5 and gRPC on AWS

Microservices commonly communicate with JSON over HTTP/1.1. These technologies are ubiquitous and human-readable, but they aren’t optimized for communication between dozens or hundreds of microservices. Next-generation Web technologies, including gRPC and HTTP/2, significantly improve communication speed and efficiency between microservices. AWS offers the most complete platform for builders implementing microservices — and the addition of HTTP/2 and gRPC support in Application Load Balancer (ALB) provides an end-to-end solution for next-generation microservices. ALBs can inspect and route gRPC calls, enabling features like health checks, access logs, and gRPC-specific metrics. This post demonstrates .NET microservices communicating with gRPC via Application Load Balancers.

AWS Config Rules

Deploying custom AWS Config rules developed for Terraform using AWS Config RDK

To help customers using Terraform for multi-cloud infrastructure deployment, we have introduced a new feature in the AWS Config Rule Development Kit (RDK) that allows you to export custom AWS Config rules to Terraform files so that you can deploy the RDK rules with Terraform. This blog post is a complement to the previous post […]