Category: Amazon CloudWatch

Today, customers operate tens, hundreds, or even thousands of applications arranged in complex distributed systems composed of many interdependent services. These applications need to be continuously available and performant to maintain end-user satisfaction and business growth. Amazon CloudWatch Application Signals (now in Preview) makes it easy to automatically instrument and operate applications on AWS to […]

Amazon CloudWatch lets customers collect monitoring and operational data in the form of logs, metrics, and events, providing an easy way to monitor and receive notifications regarding their workload health and often integrate directly with other systems, such as JIRA Service Desk and ServiceNow. The CloudWatch alarms feature lets you monitor CloudWatch metrics and receive […]

For production applications, the Mean-Time-To-Recovery (MTTR) is critical. In line with this, AWS offers Business, Enterprise On-Ramp and Enterprise support plans where AWS customers can benefit from shorter response time for cases related to production and business critical workloads. However, without having an automated way to notify AWS support, creating a case is a manual […]

Overview Effective operation of cloud applications and services demands a strong focus on monitoring and observability. It’s critical for your teams to define, capture, and analyze metrics, ensuring operational visibility and extracting actionable insights from logs. In many companies, technical teams share integrated systems to monitor the services or infrastructure they manage. Shared observability systems […]

Let’s recap the week at AWS re:Invent 2023 with a round-up of the AWS Observability launches across Amazon CloudWatch, Amazon Managed Grafana, and Amazon Managed Service for Prometheus. From automatic instrumentation and operation of applications in CloudWatch, to agentless scraping of Prometheus metrics in Managed Service for Prometheus, read on to learn about the features […]

Application performance monitoring (or APM) is the practice of taking key application performance indicators to ensure system availability, improve system performance, and improve the end-user experience. This week we announced Amazon CloudWatch Application Signals, a new set of features built-in to Amazon CloudWatch to help you speed up troubleshooting, reduce application disruptions, and operational costs, […]

Observability describes how well you can understand what is happening in a system, often by instrumenting it to collect metrics, logs, and traces. To achieve operational excellence and meet business objectives, you need to understand how your systems are performing. In order to accomplish this, many customers use Amazon CloudWatch to get real-time monitoring, alerts […]

To support business and internal processes, organizations are increasing their use of conversational interfaces. They offer opportunities for more availability, improved service levels, and reduced costs. As these conversational services become more important, so, does the need to monitor performance and effectiveness of these interfaces with analytics and dashboards. This analysis is used to drive […]

As machine learning (ML) workloads continue to grow in popularity, many customers are looking to run them on Kubernetes with graphics processing unit (GPU) support. Amazon Elastic Compute Cloud (Amazon EC2) instances powered by NVIDIA GPUs deliver the scalable performance needed for fast ML training and cost-effective ML inference. Monitoring GPU utilization gives valuable information for researchers working […]

Amazon CloudWatch Container Insights is a fully managed monitoring and observability service that provides DevOps engineers, developers, SREs, and IT managers with out-of-the-box visibility into their containerized applications and microservice environments. With Amazon CloudWatch Container Insights, you can monitor, isolate, and diagnose issues in your Kubernetes clusters with minimal effort. It delivers infrastructure telemetry like […]