Tag: Amazon CloudWatch

Introduction As the adoption of agentic AI applications continues to grow, ensuring the reliability, performance, and overall observability of these systems becomes increasingly critical. Agentic AI applications, powered by large language models (LLM) and integrated with various data sources and APIs, can quickly become complex, making it challenging to gain visibility into their inner workings […]

Introduction In today’s cloud-native environments, organizations rely on metrics monitoring to maintain application reliability and performance. Amazon Managed Service for Prometheus serves as a tool for storing and analyzing application and infrastructure metrics. As applications and platforms evolve, teams often discover opportunities to optimize their metrics querying patterns. Common scenarios like expanding service deployments, growing […]

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 […]

We are incredibly excited to see you at AWS re:Inforce, in Philadelphia, Pennsylvania, on June 16-18, 2025. This year’s Governance, Risk, and Compliance track features sessions on automating compliance, enhancing risk visibility, using generative AI for business growth, and maintaining security at scale, including 5 breakout sessions, 8 builder sessions, 7 chalk talks, 2 code […]

Organizations frequently use third-party monitoring tools to retrieve CloudWatch metric data for their dashboards and alerting systems. This practice often leads to significant GetMetricData API usage and results in high CloudWatch costs. A common challenge for cost optimization teams is identifying which specific resources or applications are driving these increased expenses, especially when they’re not […]

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 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 […]

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 […]

This blog post will guide you through a quick start on using Amazon Q Developer for operational investigations on AWS. We’ll walk you through the step-by-step process of setting up this powerful AI-assisted troubleshooting tool . You’ll discover how to configure user permissions, manage data access, set up encryption, and start your first investigation. We […]

Customers operate hundreds of applications and often those applications consist of hundreds to thousands of resources. This can get complex and overwhelming having to monitor and manage individual resources and identifying what resources are tied to an application while making sure their applications are available, secure, cost-optimized, and performing optimally. The underlying concept of applications […]