AWS DevOps Blog

AWS re:Invent is a learning conference hosted by Amazon Web Services for the global cloud computing community. We are super excited to join you at the 10th annual re:Invent to share the latest from AWS leaders and discover more ways to learn and build. Let’s celebrate this milestone, which will be offered in person in […]

Amazon DevOps Guru is a fully managed service that uses machine learning (ML) to continuously analyze and consolidate operational data streams from multiple sources, such as Amazon CloudWatch metrics, AWS Config, AWS CloudFormation, AWS X-Ray, and provide you with a single console dashboard. This dashboard helps customers improve operational performance and avoid expensive downtime by […]

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 […]

Critical business applications are monitored in order to prevent anomalies from negatively impacting their operational performance and availability. Amazon DevOps Guru is a Machine Learning (ML) powered solution that aids operations by detecting anomalous behavior and providing insights and recommendations for how to address the root cause before it impacts the customer. This post demonstrates how Amazon […]

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 […]

Software as a Service (SaaS) is an increasingly popular business model for independent software vendors (ISVs), including benefits such as a pay-as-you-go pricing model, scalability, and availability. SaaS services can be built by using numerous architectural models. The silo model provides each tenant with dedicated resources and a shared-nothing architecture. Silo deployments also provide isolation […]

with Aaron Friedman (Principal PM-T for xGuru services) Amazon CodeGuru is a developer tool that uses machine learning and automated reasoning to catch hard to find defects and security vulnerabilities in application code. The purpose of this blog is to show how new CodeGuru Reviewer features help improve the security posture of your Python applications […]

In this blog post you will learn about a multi-environment solution that uses a cloud native CICD pipeline to build, test, and deploy a Serverless ChatOps bot that integrates with AWS Control Tower Account Factory for AWS account vending. This solution can be used and integrated with any of your favourite request portal or channel […]

with Dr. Malte Polley (HDI Systeme AG – Cloud Solutions Architect) At HDI, one of the biggest European insurance group companies, we use AWS to build new services and capabilities and delight our customers. Working in the financial services industry, the company has to comply with numerous regulatory requirements in the areas of data protection […]

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 […]