AWS Cloud Operations & Migrations Blog

Category: Amazon Elastic Kubernetes Service

Migrate On-Premises Multi-Tenant Systems to Amazon Elastic Kubernetes Service

Managing the deployment of containers in a multi-tenant environment presents a number of new challenges for many of my customers. Some organizations have explored building and managing their own Kubernetes container orchestration environment, but the management challenges lead them to evaluate Amazon Elastic Kubernetes Service (Amazon EKS). Particularly, Independent Software Vendors (ISVs) are using a […]

Monitoring Amazon EMR on EKS with Amazon Managed Prometheus and Amazon Managed Grafana

Apache Spark is an open-source lightning-fast cluster computing framework built for distributed data processing. With the combination of Cloud, Spark delivers high performance for both batch and real-time data processing at a petabyte scale. Spark on Kubernetes is supported from Spark 2.3 onwards, and it gained a lot of traction among enterprises for high performance and […]

Publish the Standardized EKS cluster and container resources using AWS Service Catalog

Publish the Standardized EKS cluster and container resources using AWS Service Catalog The pace of application development in modern cloud native environments is continuing to grow faster along with business innovation. Many companies are having difficulty figuring out how to maintain their governance best practices and compliance requirements while sustaining agile innovation culture. AWS Service […]

Proactive autoscaling of Kubernetes workloads with KEDA using metrics ingested into Amazon Managed Service for Prometheus

Orchestration platforms such as Amazon EKS and Amazon ECS have simplified the process of building, securing, operating, and maintaining container-based applications, thereby helping organizations focus on building applications. We simplified this further with the launch of AWS Fargate, where customers no longer have to manage Amazon Elastic Compute Cloud (EC2) instances for their Amazon EKS/ECS […]

Using Prometheus Adapter to autoscale applications running on Amazon EKS

Automated scaling is an approach to scaling up or down workloads automatically based on resource usage. In Kubernetes, the Horizontal Pod Autoscaler (HPA) can scale pods based on observed CPU utilization and memory usage. In more complex scenarios, we would account for other metrics before deciding the scaling. For example, most web and mobile backends […]

Collect, aggregate, and analyze Rancher Kubernetes Cluster logs with Amazon CloudWatch

Collect, aggregate, and analyze Rancher Kubernetes Cluster logs with Amazon CloudWatch

Rancher is a popular open-source container management tool utilized by many organizations that provides an intuitive user interface for managing and deploying the Kubernetes clusters on Amazon Elastic Kubernetes Service (Amazon EKS) or Amazon Elastic Compute Cloud (Amazon EC2). When Rancher deploys Kubernetes onto nodes in Amazon EC2, it uses Rancher Kubernetes Engine (RKE), which is Rancher’s […]

Distributed Tracing using AWS Distro for OpenTelemetry

More and more applications are being developed using serverless architectures with multiple microservices. Customers use managed AWS services including AWS Lambda, Amazon ECS and Amazon EKS running on Amazon Elastic Compute Cloud (EC2) and AWS Fargate for running their code along with services like Amazon API Gateway, Amazon SNS, Amazon SQS, Amazon DynamoDB, Amazon S3, and others. Developers use multiple […]

Gain visibility into your Kubernetes spend with CloudZero and Amazon CloudWatch Container Insights

Gain visibility into your Kubernetes spend with CloudZero and Amazon CloudWatch Container Insights

Container adoption has been increasing rapidly in the past few years. Customers are deploying workloads of all sizes on Amazon Elastic Kubernetes Service (Amazon EKS). Typically, cluster administrators deploy several business applications and workloads on a cluster to achieve more efficient deployment density. On large clusters in a shared infrastructure where workloads of different sizes […]