AWS Cloud Operations Blog
Category: Containers
Accelerated Transformation: Streamline Application Modernization During Migration
Introduction Application modernization involves discovery, analysis, extraction, containerization and deployment of an application migrated to AWS. The AWS Application Migration Service (AWS MGN) simplifies and expedites your migration to AWS by automatically converting your source servers from physical, virtual, or other cloud infrastructure to run natively on AWS. In this post, I use post-launch actions […]
Accelerate End-to-End Application Modernization with AWS App2Container and AWS Migration Hub Refactor Spaces
This blog post was written with contributions from Gaurav Parashar who is prior AWS Customers often have challenges accelerating the modernization of their applications. The complexity of refactoring a monolith application often provides hurdles in depth of expertise, time and effort. In this blog, we will explore two mechanisms that can help you accelerate your […]
Estimating Total Cost of Ownership (TCO) for modernizing workloads on AWS using Containerization – Part 2
Introduction Part one of this series described the methodology used to calculate the TCO for containerization and we covered the first scenario of estimating TCO with server inventory information. In the second part we focus on second scenario where we will estimate TCO with application level information. Scenario 2: Estimating TCO with only application level […]
Estimating Total Cost of Ownership (TCO) for modernizing workloads on AWS using Containerization – Part 1
Introduction When you migrate your on-premises applications to the cloud, you can use a cloud migration strategy. AWS supports the seven most common migration strategies, “The 7 Rs”. Which approach makes sense for a specific workload is situational and depends on that organization’s business drivers and strategy. Understanding the total cost of ownership (TCO) is […]
Migrating to Amazon Managed Service for Prometheus with the Prometheus Operator
The Prometheus Operator allows cluster administrators to manage Prometheus clusters running in Kubernetes. It makes it easy to deploy and manage Prometheus via native Kubernetes components. In this blog post, I will demonstrate how you can deploy Prometheus via the Prometheus Operator, and how you can easily migrate your monitoring workloads to take advantage of […]
Integrating Kubecost with Amazon Managed Service for Prometheus
This blog post was co-written by Linh Lam, Solution Architect, Kubecost Customers can track their Kubernetes control plane and Amazon Elastic Compute Cloud (Amazon EC2) costs using AWS Cost and Usage Reports. However, they often need deeper insights to accurately track Kubernetes costs across namespaces, clusters, pods, and more. We recently announced that AWS and […]
Accelerate Modernization using AWS Migration Hub Refactor Spaces and AWS Proton
Refactoring legacy applications and infrastructure can be daunting. From navigating legacy codebase, identifying domains to decompose, where to start, what patterns to adopt, teams can quickly find themselves paralyzed even before they start. AWS Migration Hub Refactor Spaces is the new starting point for incremental app refactor that makes it easy to manage the refactoring […]
Monitor and scale your Amazon ECS on AWS Fargate application using Prometheus metrics
If you’ve ever run a containerized workload, you know that it can be tricky to check what’s happening in your container. In this blog post, I show how you can monitor and scale your Amazon Elastic Container Service (Amazon ECS) on AWS Fargate application using Prometheus metrics. Although there is more information about Prometheus already […]
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 […]