AWS DevOps Blog
Category: Advanced (300)
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 […]
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 […]
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.
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 […]
Deploying Alexa Skills with the AWS CDK
You can, and should, strive for Infrastructure-as-Code (IaC) and CI/CD in every project, including your Alexa Skills! Come learn how to use the AWS CDK to define your Alexa Skills as code and deploy them with a single CLI command or as part of a CI/CD workflow.
Use the Snyk CLI to scan Python packages using AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild
Learn how to scan Python packages for security vulnerabilities using AWS Developer tools and Snyk
Building a centralized Amazon CodeGuru Profiler dashboard for multi-account scenarios
This post shows you how to configure CodeGuru Profiler to collect multiple applications’ profiling data into a central account and review the applications’ performance data on one dashboard.