Category: Management Tools

April 11, 2023 – At AWS re:Invent, AWS Control Tower introduced Comprehensive Controls Management to help you apply managed controls based on service, control objective, or compliance framework. Data residency controls can now be found in the Controls library. For detailed instructions, you can follow the Controls that enhance data residency protection section of the […]

December 7, 2023: Post updated to clarify AWS Regions availability. AWS Control Tower makes it easier to set up and manage a secure, multi-account AWS environment. AWS Control Tower uses AWS Organizations to create what is called a landing zone, bringing ongoing account management and governance based on our experience working with thousands of customers. […]

In 2020, we launched AWS IoT Greengrass 2.0, an open-source edge runtime and cloud service for building, deploying, and managing device software and applications. Today, we’re very excited to announce the ability to securely manage your AWS IoT Greengrass edge devices using AWS Systems Manager (SSM). Managing vast fleets of varying systems and applications remotely […]

Way back in 2009 I wrote a blog post titled New Features for Amazon EC2: Elastic Load Balancing, Auto Scaling, and Amazon CloudWatch. In that post I talked about how Amazon CloudWatch helps you to build applications that are highly scalable and highly available, and noted that it gives you cost-effective real-time visibility into your […]

Update Nov 29, 2021 – This post has been modified to provide more clarity on the new service. As a developer, I am excited to announce the availability of Amazon CloudWatch Evidently. This is a new Amazon CloudWatch capability that makes it easy for developers to introduce experiments and feature management in their application code. […]

By applying the knowledge drawn from Amazon’s experience running diverse workloads in the cloud, AWS Compute Optimizer identifies workload patterns and recommends optimal AWS resources. Today, I am happy to share that AWS Compute Optimizer now delivers resource efficiency metrics alongside its recommendations to help you assess how efficiently you are using AWS resources: A dashboard […]

By using machine learning to analyze historical utilization metrics, AWS Compute Optimizer recommends optimal AWS resources for your workloads to reduce costs and improve performance. Over-provisioning resources can lead to unnecessary infrastructure costs, and under-provisioning resources can lead to poor application performance. Compute Optimizer helps you choose optimal configurations for three types of AWS resources: […]

At AWS re:Invent 2020, we introduced the preview of Amazon Managed Service for Prometheus, an open source Prometheus-compatible monitoring service that makes it easy to monitor containerized applications at scale. With Amazon Managed Service for Prometheus, you can use the Prometheus query language (PromQL) to monitor the performance of containerized workloads without having to manage […]