Category: Amazon CloudWatch

Customers use chat collaboration applications like Microsoft Teams and Slack to collaborate and manage their AWS applications. AWS Chatbot is a ChatOps service that enables customers to monitor, troubleshoot issues, and manage AWS applications from chat channels. AWS Chatbot provides autonomy and customizability to DevOps teams operating their AWS environments on the go from chat […]

Ten features in AWS Chatbot to help you understand your application health and resolve issues faster from chat channels.

Customer applications running on Amazon Web Services (AWS) often require handling sensitive data such as personally identifiable information (PII) or protected health information (PHI). As a result, sensitive log data can be intentionally or unintentionally logged as part of an application’s observability data. While comprehensive logging is important for application troubleshooting, monitoring and forensics, any […]

Have you ever been investigating a problem and opened up a log file and thought “I have no idea what I am looking at. If only I could get a summary of the data.” Observability and log data play an important role in maintaining operational excellence and ensuring the reliability of your applications and services. […]

AWS has been named as a Challenger in the 2024 Gartner Magic Quadrant for Observability Platforms, previously known as Gartner Application Performance Monitoring (APM) and Observability Magic Quadrant. This report assesses vendors based on their Ability to Execute and Completeness of Vision. Compared to the previous year, AWS has moved up higher on the Ability […]

With the pace of innovation with Generative AI applications, there is increasing demand for more granular observability into applications using Large Language Models (LLMs). Specifically, customers want visibility into: Prompt metrics like token usage, costs, and model IDs for individual transactions and operations, apart from service-level aggregations. Output quality factors including potential toxicity, harm, truncation […]

Load testing is an integral step in the quality assurance phase of a software development lifecycle, that offers you confidence about the performance of your workload before it is deployed to production. Once that workload moves to production, you monitor its health using synthetic monitoring. Load testing and synthetic monitoring typically test the same application […]

Customers build, deploy, and maintain millions of web applications on AWS and many customers deploy these applications using the Apache web application server. Web application performance is a key metric in modern enterprise applications. On AWS customers leverage Amazon CloudWatch to monitor response times, uptime, and provide SLAs. Engineering teams that run large scale applications […]

As machine learning models grow more advanced, they require extensive computing power to train efficiently. Many organizations are turning to GPU-accelerated Kubernetes clusters for both model training and online inference. However, properly monitoring GPU usage is critical for machine learning engineers and cluster administrators to understand model performance and to optimize infrastructure utilization. Without visibility […]

Introduction Monitoring the health and performance of your media services is critical to ensuring a seamless viewing experience for your customers. Amazon CloudWatch provides powerful monitoring capabilities for Amazon Web Services (AWS) resources. Setting up comprehensive dashboards can be a time-consuming process, especially for organizations managing large number of resources across multiple regions. The Automatic CloudWatch […]