Category: Amazon Elastic Kubernetes Service

HashiCorp and AWS have partnered to launch Cloud Development Kit for Terraform (CDKTF).

This post was contributed by Olalekan Elesin, Head of Data Platform & Data Architect at HRS Group and AWS Machine Learning Hero The HRS Group, a market leader in the global business travel market, is scheduling Jupyter Notebooks with the open source solution AWS Orbit Workbench. HRS provides brokerage of hotel rooms for private and […]

Kubernetes is gaining popularity as a control plane application programming interface (API), and coupling it with Crossplane further extends its usability. Kubernetes not only orchestrates and schedules containers, but also manages resources by extending the declarative APIs and adding a reconciliation process. The combination is appealing to both DevOps teams and application development teams because […]

Overview Spinnaker enables developers to focus on writing code and deploying their applications without having to worry about the underlying infrastructure. The development team can focus on application development and leave ops provisioning to Spinnaker for automating reinforcement of business and regulatory requirements. Spinnaker, a cloud-based open source continuous delivery platform built originally by Netflix […]

NOTE: Since this blog post was written, much about Kubeflow has changed. While we are leaving it up for historical reference, more accurate information about Kubeflow on AWS can be found here. The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable, and scalable. The project’s goal is […]

Modern applications built using microservices patterns are distributed and dynamic by nature. Deploying these applications to Kubernetes clusters tightly couples the application and cluster together. Increasingly, customers are asking for the ability to deploy applications across clusters to allow for easier upgrades and migrations and to break down isolation boundaries. However, bridging the gap between […]

In this post, we explain how to use managed node groups to upgrade Amazon Elastic Kubernetes Service (Amazon EKS) cluster nodes in parallel from 1.19 to 1.20. Users can use the AWS Service Catalog to support an automated workflow with granular controls. This capability provides the option to upgrade the control plane and nodes. A […]

This post was written by Kevin Bell and Stefan Prodan. Canary deployments are a popular tool to reduce risk when deploying software, by exposing a new version to a small subset of traffic before rolling it out more broadly. Creating the machinery to do this kind of controlled rollout, and monitoring for possible problems and […]

In this blog post, we explain how to create a multi-stage Dockerfile that uses eksctl, kubectl, and aws-auth. This will allow you to call Kubernetes APIs to create and manage resources through a unified control plane. You will interact with the Kubernetes API using Python, and the config map is created using a Jinja2 template. […]

This post was written by Seth Dobson (Southwest Airlines), Paul Ramsey, and Sheetal Joshi. The solution presented in this blog shows how large enterprise organizations such as Southwest Airlines can implement an end-to-end, Amazon CloudWatch-centric observability solution for Kubernetes clusters running on Amazon Elastic Kubernetes Service (Amazon EKS) in a way that feels natural for […]