Containers
Category: Management Tools
Troubleshooting with Amazon ECS Exec and Amazon CloudWatch Logs Live Tail in the AWS Management Console
In this post, we explore how the integration of Amazon CloudWatch Logs Live Tail and Amazon ECS Exec with AWS CloudShell in the Amazon ECS console streamlines container troubleshooting by eliminating the need to switch between multiple interfaces or maintain separate CLI configurations. These new features centralize essential debugging capabilities, allowing DevOps engineers and developers to maintain reliable container-based applications while preserving necessary security and governance controls.
Canary delivery with Argo Rollout and Amazon VPC Lattice for Amazon EKS
This post explores how to implement progressive delivery using Amazon VPC Lattice, Amazon CloudWatch Synthetics, and Argo Rollouts for canary deployments in Amazon EKS environments. The solution enables gradual traffic shifting between service versions, real-time health monitoring through synthetic tests, and automated rollbacks if issues are detected, providing a comprehensive approach to safe and reliable application updates.
Scale your Amazon ECS using different AWS native services!
Containers accelerate application development and enhance deployment consistency across environments, thus enabling organizations to improve productivity and agility. AWS container services such as Amazon Elastic Container Service (Amazon ECS) make it easier to manage your application so you can focus on innovation and your business needs. Customer experience is the most important yardstick by which […]
Monitoring Windows pods with Prometheus and Grafana
This post was co-authored by Cezar Guimarães, Sr. Software Engineer, VTEX Introduction Customers across the globe are increasingly adopting Amazon Elastic Kubernetes Service (Amazon EKS) to run their Windows workloads. This is a result of customers figuring out that refactoring existing Windows-based applications into an open-source environment, while ideal, is a very complex task. It […]
Effective use: Amazon ECS lifecycle events with Amazon CloudWatch logs insights
Introduction We have observed a growing adoption of container services among both startups and established companies. This trend is driven by the ease of deploying applications and migrating from on-premises environments to the cloud. One platform of choice for many of our customers is Amazon Elastic Container Service (Amazon ECS). The powerful simplicity of Amazon […]
Run time sensitive workloads on ECS Fargate with clock accuracy tracking
Introduction In part 1 and part 2 of this series, the importance of measuring time accuracy and relevant concepts were discussed. Additionally, we covered specifics on ways to put those concepts into practice, track metrics using Amazon CloudWatch and implement a practical solution for Amazon Elastic Compute Cloud (Amazon EC2) instances. In this part 3, […]
Multi-account infrastructure provisioning with AWS Control Tower and AWS Proton
Introduction The majority of the enterprise customers tend to establish centralize control and well-architected organization-wide policies when it comes to distribution of cloud resources in multiple teams. These teams are primarily divided into three categories: IT operations, Enterprise Security, and Application (App)-development. While delivery of business value from application standpoint falls under the purview of […]
Preventing log loss with non-blocking mode in the AWSLogs container log driver
Introduction For improved observability and troubleshooting, it is recommended to ship container logs from the compute platform to a container running on to a centralized logging server. In the real world, the logging server may occasionally be unreachable or unable to accept logs. There is an architectural tradeoff when designing for log server failures. Service […]
Diving into Container Insights cost optimizations for Amazon EKS
Introduction Amazon CloudWatch Container Insights allows you to collect, aggregate, and analyze metrics, logs, and traces for your container-based applications and infrastructure on AWS. Container Insights captures metrics for various resources, such as CPU, memory, disk, and network, along with diagnostic data like container restart failures, which enables you to efficiently isolate and resolve problems. […]
Start Pods faster by prefetching images
Introduction Many AWS customers use Amazon Elastic Kubernetes Service (Amazon EKS) to run machine learning workloads. Containerization allows machine learning engineers to package and distribute models easily, while Kubernetes helps in deploying, scaling, and improving. When working with customers that run machine learning training jobs in Kubernetes, we ‘ve seen that as the data set […]









