Tag: Amazon CloudWatch

You can use CloudWatch Container Insights to monitor, troubleshoot, and alarm on your containerized applications and microservices. Amazon CloudWatch collects, aggregates, and summarizes compute utilization information like CPU, memory, disk, and network data. It also helps you isolate issues and resolve them quickly by providing diagnostic information like container restart failures. Container Insights gives you […]

Introduction Horizontal scalability is a critical aspect of cloud native applications. Microservices deployed to Amazon ECS leverage the Application Auto Scaling service to automatically scale based on observed metrics data. Amazon ECS measures service utilization based on CPU and memory resources consumed by the tasks that belong to a service and publishes CloudWatch metrics, namely, […]

In this post, we will demonstrate how customers can leverage different AWS services in conjunction with AWS App Mesh to implement a canary deployment strategy for applications running on Amazon Elastic Kubernetes Service (Amazon EKS). As stated in the post “Getting started with App Mesh and EKS”, many customers are currently implementing microservices in a […]

Introduction In a Kubernetes cluster, the Horizontal Pod Autoscaler can automatically scale the number of Pods in a Deployment based on observed CPU utilization and memory usage. The autoscaler depends on the Kubernetes metrics server, which collects resource metrics from Kubelets and exposes them in Kubernetes API server through Metrics API. The metrics server has […]

Development teams are running manual and automated tests several times a day for their feature branches. Running tests locally is only one part of the process. To test workloads against other systems as well as give access to QA engineers, it requires deploying code to dedicated environments. These servers/VMs spend hours idling because new test […]