Category: Monitoring and observability

Amazon CloudWatch is a foundational AWS service that provides you with actionable insights into your cloud resources and applications. With Amazon CloudWatch Metrics, you can gain better visibility into your infrastructure and large-scale application performance. You can set up alarms using Amazon CloudWatch Alarms for metrics emitted by AWS services or your applications. Identifying which metrics […]

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 […]

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, […]

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 Connect is an easy-to-use cloud contact center solution that helps companies of any size deliver superior customer service at a lower cost. Connect has many real-time monitoring capabilities. For requirements that go beyond those supported out of the box, Amazon Connect also provides you with data and APIs you can use to implement your […]

Customers running microservice-based workloads in a serverless environment frequently have issues with troubleshooting incidents as the data they need can be distributed across hundreds or thousands of components. In this blog post, I will demonstrate how you can reduce the mean time to resolution (MTTR, or the average time it takes to repair or mitigate […]

AWS provides customers regular updates of service notifications and planned activities via e-mail to the root account owners or the operational, security and billing contacts. AWS also provides granular notifications to customers via AWS Health allowing them to fine-tune their alerts on issues relating directly to them. Alongside Health Dashboard’s monitoring capabilities, customers can also […]

This post was co-written with Stephen Cihak, Senior Director , Abhiram Madadi, Principal Engineer and Gopi Akula, Senior Manager at Choice Hotels Who is Choice Hotels? Choice Hotels International is one of the largest lodging franchisors in the world. A challenger in the upscale segment and a leader in midscale and extended stay, Choice has […]

As customers deploy cloud-based solutions, they need to be able to ensure that systems are running smoothly, and that they can quickly remediate issues when they arise. Deploying observability at scale can be challenging for customers, especially when it involves tens and hundreds of services across their enterprise. Customers want best practice recommendations, guidance in […]

Organizations rely heavily on cloud-based data processing and analytics platforms in today’s data-driven world to unlock valuable insights and make informed decisions. Databricks, a unified analytics platform, has emerged as a popular choice due to its seamless integration with Apache Spark, and its ability to efficiently handle large-scale data processing tasks. Many customers have implemented […]