Category: Amazon CloudWatch

Observability means more than just monitoring. At AWS, we consider observability to be an integral component of healthy and secure operations. Two of the newest features of Amazon CloudWatch that enhance observability into your application’s health and operations are Amazon CloudWatch RUM and Amazon CloudWatch Evidently. In this post, we will take you through a […]

Alarm history data can be invaluable in diagnosing trends, impacts and root causes for issues in your application. In this two-part blog series, we will demonstrate how to move beyond the standard 14 day alarm history, and turn your Amazon CloudWatch alarm state changes into logs and metrics that you can graph on your CloudWatch […]

In part 1 of this blog series, we demonstrated how to utilize an Amazon EventBridge rule to create Amazon CloudWatch logs and metrics from a change in state of your CloudWatch alarms. To diagnose trends, impacts, and root causes, you may want to see trends in alarm history or visualize this data alongside other CloudWatch […]

As enterprises start migrating to the cloud, one challenge they will face is framing and implementing a holistic monitoring strategy for the hybrid environment. In our experience, there are three main reasons for this. First and foremost, an enterprise generally has multiple monitoring tools in place, but when the enterprises start moving to the cloud, […]

Amazon CloudWatch lets customers collect monitoring and operational data in the form of logs, metrics, and alarms. This allows for easy visualization and notifications regarding their workload health. Amazon CloudWatch dashboards are customizable home pages in the CloudWatch console that you can use to monitor your resources in a single view, even those resources that […]

Amazon CloudWatch RUM is a real user monitoring service that closes the gap between the end-user experience in a web application, and the serving of that content from your AWS or on-premises environment. By measuring client-side application performance, such as page load time and JavaScript errors, you have access to new and powerful tools for […]

When we troubleshoot failed invocations from our Lambda functions, we often must identify the invocations that failed (from among all of the invocations), identify the root cause, and reduce mean time to resolution (MTTR). In this post, we will demonstrate how to utilize Amazon CloudWatch to identify failed AWS Lambda invocations. Likewise, we will show how […]

Organizations have many options for connecting to on-premises networks or third parties, including AWS Site-to-Site VPN. However, some organizations still need to use an Amazon Elastic Compute Cloud (Amazon EC2) instance running VPN software, such as strongSwan. Gaining insight into Amazon EC2-based VPN metrics can be challenging when compared to AWS native VPN services that […]

Amazon CloudWatch RUM makes it easy for AWS customers to access real-world performance metrics from web applications, thereby giving insights into the end-user experience. These user experiences are quantified into discrete metrics that you can then create alarms for. But what if you must have different load time alarms for certain pages? Or you’re testing […]

Amazon CloudWatch has recently launched Metrics Insights (Preview) – a fast, flexible, SQL-based query engine that enables you to identify trends and patterns across millions of operational metrics in real-time. With Metrics Insights, you can easily query and analyze your metrics to gain better visibility into the health and performance of your infrastructure and large scale […]