AWS DevOps & Developer Productivity Blog
Category: Advanced (300)
Multi-Region Terraform Deployments with AWS CodePipeline using Terraform Built CI/CD
As of February 2022, the AWS Cloud spans 84 Availability Zones within 26 geographic Regions, with announced plans for more Availability Zones and Regions. Customers can leverage this global infrastructure to expand their presence to their primary target of users, satisfying data residency requirements, and implementing disaster recovery strategy to make sure of business continuity. […]
Build Health Aware CI/CD Pipelines
Everything fails all the time — Werner Vogels, AWS CTO At the moment of imminent failure, you want to avoid an unlucky deployment. I’ll start here with a short story that demonstrates the purpose of this post. The DevOps team has just started a database upgrade with a planned outage of 30 minutes. The team […]
Automating detection of security vulnerabilities and bugs in CI/CD pipelines using Amazon CodeGuru Reviewer CLI
Watts S. Humphrey, the father of Software Quality, had famously quipped, “Every business is a software business”. Software is indeed integral to any industry. The engineers who create software are also responsible for making sure that the underlying code adheres to industry and organizational standards, are performant, and are absolved of any security vulnerabilities that […]
Govern CI/CD best practices via AWS Service Catalog
Introduction AWS Service Catalog enables organizations to create and manage Information Technology (IT) services catalogs that are approved for use on AWS. These IT services can include resources such as virtual machine images, servers, software, and databases to complete multi-tier application architectures. AWS Service Catalog lets you centrally manage deployed IT services and your applications, […]
Leverage DevOps Guru for RDS to detect anomalies and resolve operational issues
The Relational Database Management System (RDBMS) is a popular choice among organizations running critical applications that supports online transaction processing (OLTP) use-cases. But managing the RDBMS database comes with its own challenges. AWS has made it easier for organizations to operate these databases in the cloud, thereby addressing the undifferentiated heavy lifting with managed databases […]
How to unit test and deploy AWS Glue jobs using AWS CodePipeline
This post is intended to assist users in understanding and replicating a method to unit test Python-based ETL Glue Jobs, using the PyTest Framework in AWS CodePipeline. In the current practice, several options exist for unit testing Python scripts for Glue jobs in a local environment. Although a local development environment may be set up […]
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 […]
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 […]