AWS Cloud Operations Blog
Tag: observability
Monitor your AWS resources on your mobile device with AWS Console Mobile Application
AWS customers are increasingly relying on AWS User Notifications to monitor and get real-time notifications about the AWS resources that are most important to them. The AWS Console Mobile Application can be configured as a notification delivery channel, where users can monitor AWS resources, get detailed resource notifications, diagnose issues, and take remedial actions, from […]
Multi-tenant monitoring across accounts and regions using Amazon Managed Service for Prometheus
In this guest blog post, Nauman Noor (Managing Director), Fabio Dias (Cloud Developer), and Dylan Alibay (Cloud Developer) from the platform engineering team at State Street discuss their use of Amazon Managed Prometheus and AWS Distro for OpenTelemetry to enable monitoring in a multi-tenant, multi-account, and multi-region environment. In the ever-evolving financial services landscape, State […]
Automate the creation of AWS Support cases using Amazon CloudWatch alarms and Amazon Bedrock
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 […]
Observability using native Amazon CloudWatch and AWS X-Ray for serverless modern applications
Introduction In this blog post, we will share how you can use AWS-native observability tools to measure the current state of your modern serverless applications and how to get started with the minimal effort. We will review tools like Amazon CloudWatch and AWS X-Ray and explore how these services can help you instrument your application […]
Monitor Amazon EKS Control Plane metrics using AWS Open Source monitoring services
Have you encountered situations where your Kubernetes API calls are constantly throttled by the control plane? Did you see the 429 HTTP response code “Too many requests” all over the place and have no clue on what’s wrong with your cluster? In this blog post, we will talk about monitoring some of the key metrics […]
Choice Hotels adopts Amazon Managed Service for Prometheus for operational excellence and cost efficiency
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 […]
Detecting gray failures with outlier detection in Amazon CloudWatch Contributor Insights
You may have encountered a situation in the past where a single user or small subset of users of your system are reporting an event that is impacting their experience, but your observability systems didn’t show any clear impact. The discrepancy between the customer’s experience and the system’s observation of its health is referred to […]
Announcing Live Tail feature for Amazon CloudWatch Logs
Learn with Shree and Jim about the newly released Amazon CloudWatch Logs Live Tail.
Announcing Amazon Managed Grafana workspace version selection with version 9.4 support
Many customers that use Amazon Managed Grafana have requested for the ability to choose a Grafana version with the latest product features including navigation, dashboards, and visualizations. Today, we are announcing Amazon Managed Grafana workspace version selection with version 9.4 support. Since the product was launched, Amazon Managed Grafana maintained a single version offering globally. […]
How Audible used Amazon CloudWatch cross-account observability to resolve severity tickets faster
This blog was co-written with Audible’s Apurva Jatakia, Kaushik S., and David Etler. Audible’s consumption services platform serves thousands of requests every second, and each incoming request is served by a distributed set of microservices owned by different teams. An Audible team, in charge of a platform called Stagg, is responsible for five separate microservices. […]