Operations | Monitoring | ITSM | DevOps | Cloud

Docker is a powerful tool for creating and deploying applications. It simplifies rolling out applications across multiple systems and is a useful tool for integrating new technologies. An application that runs using Docker will start up the same every time on every system. This means that if the application works on your local computer, it’ll work anywhere that supports Docker. That’s great news! It simplifies your development process and can be a powerful tool for continuous delivery.

We are very excited to announce Calico v3.7. Here are some highlights from the release.

Istio is a hot technology right now. Giants such as Google and IBM have devoted entire teams of engineers to the project to push it to production readiness. Since 1.0 has been released recently, I wanted to write down some of the things that confused me coming from a strictly Kubernetes only world where we have Ingress controllers and Service load balancers and how Istio takes these same concepts but on stimulants.

Docker Compose is a great tool to develop your Ruby on Rails application locally. It allows you to easily isolate your ruby environment, database, and even Redis if you use something like Sidekiq.

Writing Go applications in an isolated environment with Docker comes with some great advantages. You get a clean GOPATH, the bare essentials for developing, and you can easily change which Go version you’re developing against. In this quick tutorial, we’re going to show you how to structure a Go application with Docker Compose as your development environment.

FireHydrant.io has a changelog feature with a Kubernetes integration. Building this integration was challenging because the knowledge about creating an event oriented system with the Kubernetes client-go project was not as easy to understand as I would have hoped.

AWS Beanstalk allows you to spin up entire environments (EC2 instances, ELBs, etc.) to support an application without you having to configure the resources manually. However, since it’s a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS. In this post, we’ll explain how to use CloudWatch to monitor Beanstalk and what is important to watch.

As industries shift to a microservices approach of deploying applications using containers, data scientists can reap the benefits. Data Scientists use specific frameworks and operating systems that can often conflict with the requirements of a production system. This has led to many clashes between IT and R&D departments. IT is not going to change the OS to meet the needs of a model that needs a specific framework that won’t run on RHEL 7.2.