5 predictions for Kubernetes in 2020 | Opensource.com

5 predictions for Kubernetes in 2020

Plus, a look back at the most popular Kubernetes articles on the site in 2019.

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How do you track a wildly popular project like Kubernetes? How do you figure out where it’s going? If you are contributing to the project or participating in Special Interest Groups (SIGs), you might gain insight by osmosis, but for those of you with day jobs that don’t include contributing to Kubernetes, you might like a little help reading the tea leaves. With a fast-moving project like Kubernetes, the end of the year is an excellent time to take a look at the past year to gain insight into the next one.

This year, Kubernetes made a lot of progress. Aside from inspecting code, documentation, and meeting notes, another good source is blog entries. To gain some insights, I took a look at the top ten Kubernetes articles on Opensource.com. These articles give us insight into what topics people are interested in reading, but just as importantly, what articles people are interested in writing. Let’s dig in!

(Get the full list of top 10 Kubernetes articles from 2019 at the end.)

First, I would point out that five of these articles tackle the expansion of workloads and where they can run. This expansion of workloads includes data science, PostgreSQL, InfluxDB, and Grafana (as a workload, not just to monitor the cluster itself) and Edge. Historically, Kubernetes and containers in general have mostly run on top of virtual machines, especially when run on infrastructure provided by cloud providers. With this interest in Kubernetes at the edge, it’s another sign that end users are genuinely interested in Kubernetes on bare metal (see also Kubernetes on metal with OpenShift).

Next, there seems to be a lot of hunger for operational knowledge and best practices with Kubernetes. From Kubernetes Operators, to Kubernetes Controllers, from Secrets to ConfigMaps, developers and operators alike are looking for best practices and ways to simplify workload deployment and management. Often we get caught up in the actual configuration example, or how people do it, and don’t take a step back to realize that all of these fall into the bucket of how to operationalize the deployment of applications (not how to install or run Kubernetes itself).

Finally, people seem to be really interested in getting started. In fact, there is so much information on how to build Kubernetes that it intimidates people and gets them down the wrong path. A couple of the top articles focus on why you should learn to run applications on Kubernetes instead of concentrating on installing it. Like best practices, people often don’t take a step back to analyze where they should invest their time when getting started. I have always advocated for, where possible, spending limited time and money on using technology instead of building it.

5 predictions for Kubernetes in 2020

So, looking back at those themes from 2019, what does this tell us about where 2020 is going? Well, combining insight from these articles with my own broad purview, I want to share my thoughts for 2020 and beyond:

  1. Expansion of workloads. I would keep my eye on high-performance computing, AI/ML, and stateful workloads using Operators.

  2. More concrete best practices, especially around mature standards like PCI, HIPAA, NIST, etc.
  3. Increased security around rootless and higher security runtimes classes (like gVisorKata Containers, etc.)
  4. Better standardization on Kubernetes manifests as the core artifact for deployment in development and sharing applications between developers. Things like podman generate kube, podman play kube, and all in one Kubernetes environments like CodeReady Containers (CRC)
  5. An ever-wider ecosystem of network, storage and specialized hardware (GPUs, etc.) vendors creating best of breed solutions for Kubernetes (in free software, we believe that open ecosystems are better than vertically integrated solutions)

I'm looking forward to another great year in Kubernetes!

Top 10 Kubernetes articles for 2019

metrics and data shown on a computer screen

Kubernetes' features that streamline the software development workflow also support the data science workflow.
Wheel of a ship

Kubernetes Secrets and ConfigMaps separate the configuration of individual container instances from the container image, reducing overhead and adding flexibility.
cubes coming together to create a larger cube

Create uniformly managed, cloud-native production deployments with the flexibility to deploy a personalized database-as-a-service.
Dump truck with kids standing in the foreground

Dump trucks are an elegant solution to a wide range of essential business problems.
Target practice

A hands-on introduction to container security using Anchore with Jenkins on Kubernetes.
open source button on keyboard

Monitor your Twitter stats with a Python script, InfluxDB, and Grafana running in Kubernetes or OKD.
arrows cycle symbol for failing faster

Operators let users create standardized interfaces for managing stateful applications, like PostgreSQL, across Kubernetes-enabled cloud environments.
A ship wheel with someone steering

Controllers can ease a sysadmin's workload by handling things like creating and managing DNS addresses and SSL certificates.
cubes coming together to create a larger cube

New Kubespray features enable Kubernetes clusters to be deployed across next-generation edge locations.
Digital creative of a browser on the internet

Kubernetes is absolutely the simplest, easiest way to meet the needs of complex web applications.

About the author

Scott McCarty - At Red Hat, Scott McCarty is technical product manager for the container subsystem team, which enables key product capabilities in OpenShift Container Platform and Red Hat Enterprise Linux. Focus areas includes container runtimes, tools, and images. Working closely with engineering teams, at both a product and upstream project level, he combines personal experience with customer and partner feedback to enhance and tailor strategic container features and capabilities. Scott is a social media...