Tag: Amazon CloudWatch

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. […]

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 […]

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 […]

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 […]

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, […]