engineering evolutionEngineering has come a long way. Looking at how most things are set up today, engineering has created devices, machines, and software that can solve some of our most complex problems.

When it comes to software engineering, having Kubernetes experience has become an asset for those pursuing careers in the software engineering space.

So, what exactly is Kubernetes?

Container-based microservices architectures have profoundly changed the way development and operations teams test and deploy modern software. Containers help companies modernize by making it easier to scale and deploy applications, but containers have also introduced new challenges and more complexity by creating an entirely new infrastructure ecosystem.

Originally developed by Google, Kubernetes is an open-source container orchestration platform designed to automate the deployment, scaling, and management of containerized applications.

Kubernetes has established itself as the standard for container orchestration and is the flagship project of the Cloud Native Computing Foundation (CNCF), backed by key players like Google, AWS, Microsoft, IBM, Intel, Cisco, and Red Hat.

How does Kubernetes work with Data Engineering (including DevOps)?

  1. Orchestrating containers

If you want to run reproducible data pipelines and ML models that can run anywhere, you probably know that a Docker image is the way to go. With Kubernetes, especially when deployed to infinitely scalable cloud services, managing the execution of containers at scale has become considerably less painful.

  1. Better Communication with Teams

Kubernetes allows you to deliver a self-service platform-as-a-service (PaaS) that creates a hardware abstraction layer for development teams. Your development teams can quickly and efficiently request the resources they need. If they need more resources to handle additional load, they can get those just as quickly, since resources all come from an infrastructure shared across all your teams.

No more filling out forms to request new machines to run your application! Just provision and go and take advantage of the tooling developed around Kubernetes for automating packaging, deployment, and testing.

  1. Seamlessly scale your execution platform as your data grows

Running your data pipelines on a single server probably won’t cut it for you these days. With growing amounts of data, it becomes difficult to manage data processing, regardless of whether we package our code as container images or run them in a single local process.

Despite all the goodness, Kubernetes won’t give you immediate visibility into what happens in your data workloads, but it will make it easier to install a distributed compute engine and seamlessly scale it out to multiple nodes.

  1. Cloud integration and agnosticism

Kubernetes can sound like an island, out there on its own. You’re building software and putting it in a Kubernetes Cluster, but aren’t you isolating yourself from your cloud provider?

Kubernetes occupies quite an interesting space in the cloud infrastructure ecosystem, where it’s becoming an agnostic layer between the cloud platform you’re running on and your applications. This can sound like isolation, but Kubernetes can be both tightly integrated with cloud providers, while also enabling you to be much more cloud independent than you would be without it.

What are the Top 5 Kubernetes tech careers?

  1. DevOps engineer
  2. Senior software engineer/software engineer
  3. Software architect
  4. Cloud engineer
  5. Full stack developer

In development teams, Kubernetes help manage the development and deployment life cycle. This includes automatic feature rollouts with no downtime and container health checks. This allows teams to focus more on bigger jobs instead of tedious tasks.

It is crucial to note that it wasn’t until a few years ago that developers and IT operations teams had to readjust their practices to adopt containers—and now, they have to adopt container orchestration, as well.

Enterprises hoping to adopt Kubernetes need to hire professionals who can code, as well as knowing how to manage operations and understand application architecture, storage, and data workflows.

Get in touch with us if your company is looking for Data Engineers with Kubernetes experienced or if you are an engineer with Kubernetes experience: (877) 369-GATE /

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