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Implementing a Kubernetes Application Platform - BambooHR and Shipa

In this webinar, we talk with platform engineering leaders at BambooHR, a SaaS leader in the Human Resources space, about furthering their journey into Kubernetes. We are joined by Kelsey Hightower to help moderate and provide commentary on what he has seen in the space. As BambooHR kicks off their journey with Shipa, learn from the prospectus of the team moving the needle in engineering efficiency and developer experience.

Shipa Cloud Operations and Practices

Shipa Cloud is how we run the Shipa control plane on behalf of users in order to give them the fastest path possible to implementing Application as Code within their clusters. You can try out Shipa Cloud for free today by going to shipa.io. Besides being the fastest way possible to get started with Shipa, it also takes away the responsibility of upgrades, maintenance, and uptime of the control plane for our users, but that responsibility doesn’t just disappear.

One Minute to Deployed on Kubernetes with Shipa

In this Shipa Shorts video, we deploy to Kubernetes in under a minute. All we had to produce is an image and Shipa takes care of the rest. No need to wire Networking Policies, Service Meshes, etc. With Shipa, you can deploy to Kubernetes without having to understand Kubernetes internals. Outside the UI, no matter your flavor of CI/CD, Shipa supports that.

Kubernetes for the JavaScript Developer - Part Two - Deploy to Kubernetes

Continuing on from Part One where we went through a brief history of containers and Kubernetes then Dockerized a NodeJS application, now we are ready to deploy to Kubernetes. If this is your first or nth time deploying to Kubernetes, Shipa makes this simple. You don’t have to worry about authoring multiple Kubernetes manifests and templates to deploy your application, all you need is an image.

Kubernetes for the JavaScript Developer - Part One - Create a Docker Image

Since its introduction in 2014 to the world, Kubernetes has been helping usher in the next generation of distributed workloads. As workloads started to be containerized, so did the need to manage the containers, thus the inception of container orchestrators. There have been a few container orchestrators out there before Kubernetes such as Docker Swarm and Apache Mesos. Though as a feature developer, Kubernetes can certainly feel like an 800-pound gorilla in the room.