Heroku and AWS are two of the common choices available for cloud hosting. Heroku is a Platform as Service (PaaS) provider that helps startups develop business applications with simplicity and without needing DevOps expertise in the team. Not only does it provide resources automatically, but you can deploy your applications with just a single click. Heroku has been a top choice for developers for years as it speeds up development cycles by providing fully managed infrastructure and application deployment.

If you are a vivid traveler of the tech universe, you’ve likely come across this term: Kubernetes. Scratching your head? Let me make it clear: In simple terms, we know Kubernetes — or K8s — as a portable and extensible platform for managing containerized workloads and services. It can facilitate both declarative configurations as well as automation.

With our recent announcement regarding the general availability of Ocean for Azure Kubernetes Service (AKS), I decided to migrate one of our production services. The service was already running on AKS, but will now be managed by Spot’s Ocean for AKS. TL;DR: The results are pretty cool, as I was able to cut 82% out of the existing spending for this AKS cluster. You can see the results in the screen capture below.

An important part of any Kubernetes cluster is the underlying containers. Containers are the workloads that your business relies on, what your customers engage with, and what shapes your networking infrastructure. Long story short, containers are arguably the soul of any containerized environment. One of the most popular open-source container orchestration systems, Kubernetes, has a modular architecture.

The benefits of using Kubernetes (K8s) at an enterprise level are numerous. K8s is portable, extensible, scalable and reliable. When it comes time for your enterprise to deploy its K8s clusters, there are several deployment frameworks and tools to choose from. But which solution is right for your enterprise? Read on as we break down deployment solutions into categories and demonstrate how each framework and tool can enable you to operate, manage and deploy your K8s clusters in different ways.