Category: Monitoring and observability

Managing metrics collection at scale in complex cloud environments presents significant challenges for organizations, particularly when it comes to controlling costs and maintaining operational efficiency. As the volume of metrics grows exponentially with the expansion of container deployments and other cloud-native workloads, customers often struggle to balance comprehensive monitoring with resource optimization. This can lead […]

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 […]

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 […]

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 […]

SAP ERP (Enterprise Resource Planning) systems are at the core of many enterprises, supporting a wide range of mission-critical processes, including Procure to Pay, Order to Cash, Production Planning, Financial Accounting, Supply Chain Management (SCM), and Human Capital Management. Given the critical role of SAP ERP, maintaining the stability, security, and efficiency of these ERP […]

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 […]

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 […]