Category: Amazon CloudWatch

Customers running microservice-based workloads in a serverless environment frequently have issues with troubleshooting incidents as the data they need can be distributed across hundreds or thousands of components. In this blog post, I will demonstrate how you can reduce the mean time to resolution (MTTR, or the average time it takes to repair or mitigate […]

Overview Maintaining and improving end user experience is key and as your business grows, the number of endpoints you need to observe can grow quickly. It can become more challenging and time consuming to build multiple canaries to observe them. This solution is designed to show how you can use a consistent and automated approach […]

Introduction In this blog post, we will share how you can use AWS-native observability tools to measure the current state of your modern serverless applications and how to get started with the minimal effort. We will review tools like Amazon CloudWatch and AWS X-Ray and explore how these services can help you instrument your application […]

Amazon Bedrock is an easy way to build and scale generative AI applications with foundation models (FMs). As a fully managed service, it offers a choice of high-performing FMs from leading AI companies including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. It also offers a broad set of capabilities needed to build generative […]

Introduction Lambda@Edge is a powerful feature of Amazon CloudFront that allows you to execute serverless code closer to your application users, resulting in improved performance and reduced latency. By distributing Lambda@Edge functions to edge locations worldwide, AWS ensures that the code executes closer to end users, providing faster response times. Moreover, the serverless nature of […]

You may have encountered a situation in the past where a single user or small subset of users of your system are reporting an event that is impacting their experience, but your observability systems didn’t show any clear impact. The discrepancy between the customer’s experience and the system’s observation of its health is referred to […]

Amazon Elastic Compute Cloud (Amazon EC2) emits several metrics for your EC2 instance to Amazon CloudWatch. However, memory metrics isn’t one of the default metrics provided by Amazon EC2. Several memory heavy applications like Big Data Analytics, In-memory Databases, Real-time Streaming require you to monitor memory utilization on the instances for operational visibility. These applications […]

Observability helps you understand the health, usage, performance, and customer experience for your workloads. Observability can support many use cases, from detecting incidents and supporting incident resolution, to understanding the impact of new features on your users and workflow. Establishing the right solution depends on being able to gather the right data for your situation. […]

In today’s digital landscape, ensuring optimal application performance is crucial, and Amazon CloudWatch Synthetics enables proactive testing of web applications and APIs. If you are utilizing self-signed certificates and seeking to enhance your monitoring capabilities, this blog post will guide you step-by-step on how to modify the source code of your canary to support self-signed […]

You can now configure thresholds for when Amazon CloudWatch Internet Monitor creates health events for your application’s internet traffic. Internet Monitor creates health events when availability or performance scores drop across your application’s monitored geographies. Overview of threshold configuration options Internet Monitor provides near-continuous internet measurements for your internet traffic, including availability and performance metrics, […]