AWS Cloud Operations Blog

Category: Amazon CloudWatch

Advanced analytics using Amazon CloudWatch Logs Insights

Advanced analytics using Amazon CloudWatch Logs Insights

Effective log management and analysis are critical for maintaining robust, secure, and high-performing systems. Amazon CloudWatch Logs Insights has long been a powerful tool for searching, filtering, and analyzing log data across multiple log groups. The addition of OpenSearch Piped Processing Language (PPL) and OpenSearch SQL language query support offers greater flexibility and familiarity in […]

Enhance your AIOps: Introducing Amazon CloudWatch and Application Signals MCP servers

Modern architectures generate vast amounts of observability data across metrics, logs, and traces. When issues arise, teams spend hours—sometimes days—manually correlating information across multiple dashboards to identify root causes, directly impacting MTTR and productivity. Amazon CloudWatch Application Signals addresses this challenge by providing deep application visibility through automatic instrumentation, capturing key metrics like latency, error […]

Alarming on SLOs in Amazon Search with CloudWatch Application Signals – Part 2

Alarming on SLOs in Amazon Search with CloudWatch Application Signals – Part 2

In practice: SLO monitoring with CloudWatch Application Signals In the previous post, we’ve shared the basic concepts and benefits of burn rate monitoring. In this post, we, the Amazon Product Search team, will share anecdotes from our migration from an in-house solution to CloudWatch Application Signals, and introduce how we actually implement monitoring and dashboards. […]

Alarming on SLOs in Amazon Search with CloudWatch Application Signals – Part 1

Alarming on SLOs in Amazon Search with CloudWatch Application Signals – Part 1

In theory: SLO concepts applied to Amazon Product Search In this series of posts, we will show you how we, the Amazon Product Search team, monitor key systems using Service Level Objectives (SLOs) and share our migration journey from an in-house solution to Amazon CloudWatch Application Signals. Amazon Product Search is a large distributed system […]

Using Amazon Bedrock and Amazon Nova for AI-Powered Incident Response

In today’s cloud-native world, incident response teams face overwhelming challenges. When critical applications fail, engineers must sift through mountains of observability data across multiple services; all while under intense pressure to restore service quickly. This manual correlation process is time-consuming, error-prone, and often delays resolution, resulting in extended outages and frustrated customers. Traditional monitoring tools […]

Launching Amazon CloudWatch generative AI observability  (Preview)

Launching Amazon CloudWatch generative AI observability  (Preview)

As organizations rapidly deploy large language models (LLMs) and generative AI agents to power increasingly intelligent workloads, they struggle to monitor and troubleshoot the complex interactions within their AI applications. Traditional monitoring tools fall short in providing the visibility across components, leading to developers and AI/ML engineers to manually correlate interaction logs or building custom […]

How Indegene Optimizes User Experience with Amazon CloudWatch

In today’s digital healthcare landscape, optimal application performance and user experience are crucial for business success. Indegene, a digital-first life sciences commercialization company, combines deep medical expertise with domain-contextualized technology to help clients accelerate innovation, modernize operations, and improve customer experience. With the world’s top 20 pharma companies among its clientele, Indegene brings an AI-first […]

Application Performance Monitoring of AWS Lambda apps with Amazon CloudWatch Application Signals

Application Performance Monitoring of AWS Lambda apps with Amazon CloudWatch Application Signals

Amazon CloudWatch Application Signals extends its powerful monitoring and diagnostic capabilities to AWS Lambda. This integration provides Lambda users with streamlined, no-code application performance monitoring, enabling easy access to key metrics such as invocation duration, error rates, cold starts, and throttling events. By bringing together telemetry data across Lambda functions with metrics, traces, and logs, […]

Amazon CloudWatch Application Signals adds runtime metrics support for Java, Python and .Net applications

Amazon CloudWatch Application Signals adds runtime metrics support for Java, Python and .Net applications

Amazon CloudWatch Application Signals now supports runtime metrics for Java, Python and .Net applications. This new capability lets you monitor application runtime metrics directly in Amazon CloudWatch, helping you correlate application performance signals and improve application observability. Amazon CloudWatch Application Signals automatically instruments your applications running on AWS, so that you can monitor your application […]

Enhance your global network performance: A deep dive into Internet Monitor’s new optimization tools

Overview The Internet Monitor feature of Amazon CloudWatch Network Monitoring now includes enhanced traffic optimization recommendation guidance that you can use to explore how to help optimize your application’s latency by using different AWS Regions or Local Zones, or by using Amazon CloudFront. You can also learn how to reduce latency by routing specific IP […]