AWS DevOps Blog

Gridium creates software that lets people run commercial buildings at a lower cost and with less energy. Currently, half of the world lives in cities. Soon, nearly 70% will, while buildings utilize 40% of the world’s electricity. In the U.S. alone, commercial real estate value tops one trillion dollars. Furthermore, much of this asset class […]

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 […]

Here we are introducing the inconsistency detector for Java in Amazon CodeGuru Reviewer. CodeGuru Reviewer automatically analyzes pull requests (created in supported repositories such as AWS CodeCommit, GitHub, GitHub Enterprise, and Bitbucket) and generates recommendations for improving code quality. For more information, see Automating code reviews and application profiling with Amazon CodeGuru. The Inconsistency Principle […]

We’re now well into the dog days of summer but that hasn’t slowed down the community one bit. In the past few months the team has delivered 3 big features that I think the community will love. The biggest new feature is the Construct Hub Developer Preview. Alex Pulver describes it as “a one-stop destination […]

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 […]

Amazon CodeGuru Profiler recently began providing recommendations for applications written in Python. Additionally, the new automated onboarding process for Lambda functions makes it even easier to use CodeGuru Profiler with serverless applications built on Lambda. This post highlights these new features by explaining how to set up and utilize Codeguru Profiler on an AWS Lambda function written in Python.

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.

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 […]

Many organizations today require their systems to be compliant with the CIS (Center for Internet Security) Benchmarks. Enterprises have adopted the guidelines or benchmarks drawn by CIS to maintain secure systems. Creating secure Linux or Windows Server images on the cloud and on-premises can involve manual update processes or require teams to build automation scripts […]

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.