Oh hey, a blog post about virtual clusters again. Maybe you have already heard of those in the context of multi-tenancy, or even jokingly mentioned to someone that some crazy folks are promoting Kubernetes inside Kubernetes.
Kubernetes is a strong tool in the arsenal of any developer or infrastructure engineer. There are many different reasons for running Kubernetes, from orchestrating your containers in a sensible and structured fashion to organizing a complex infrastructure containing diverse services.
This is part four of our five-part series exploring cloud-native technologies. In part one and part two you were introduced to a cloud-native system and learned more about the ins and outs of establishing your cloud-native infrastructure.
The popularity of Kubernetes and its ecosystem grows like a snowball rolling down Mount Everest. Imagine the design patterns, numerous workload requirements, workload types, and behaviors that fuel the development of Kubernetes.
For developers to be efficient, they need a strong setup, good habits, and tools they know and love to use. With all these ingredients, they’ll feel good about their workflow and focus more intensely on the products they’re building, which will help them more swiftly achieve their goals.
If you’ve worked with consistently growing development teams, there is a high chance that you have come across the complexities of managing dozens of tools and technologies such as containers, microservices, cloud resources, codebases and much more to reduce the DevOps overhead.
Kubernetes clusters simplify the deployment and maintenance of containerized workloads in the cloud. Organizations are finding that Kubernetes blurs the line between development and operations. For instance, engineers that don’t have access to traditional servers still find they need cluster permissions to test changes, run their tooling, and debug running workloads.
Kubernetes stands out as one of the most popular container orchestration tools currently available, with 5.6 million developers using the orchestrator by the end of 2021, a 67% increase from the previous year.
Kubernetes is a container orchestration tool for managing, deploying, and scaling containerized applications. It helps engineering teams deploy and manage applications across multiple servers with fewer complexities.
As your organization grows, deploying your software and maintaining all related systems can become more complex. This complexity, along with the desire to own the infrastructure stack without needing workarounds for off-the-shelf tools, drives many teams to implement an internal developer platform (IDP).
The way we do business has drastically changed over the past few decades as more industries go digital. More fault-tolerant and highly scalable systems, quicker responses to defects, and frequent upgrades call for accelerated delivery and increased productivity from our development teams.
There is no denying the fact that Kubernetes has experienced widespread adoption in the last few years. Its automated deployment and scaling capabilities have made it easier and more convenient for developers to manage and develop advanced applications and services.
Kubernetes is the third most loved platform by developers, according to the Stack Overflow 2020 Developer Survey, but it’s still quite complex to use. That complexity can impede workflow.
Applying the notion of user experience (UX) to software engineering, developer experience takes place on the other side of the product. The concept of developer experience describes how developers feel about working with or within a system.
In this series, we’re looking at alternatives to using Docker Compose for building apps that run in Kubernetes clusters. While Compose is a handy way to stand up apps locally, there are advantages to running your apps in a Kubernetes environment while you develop.
As more developers use Kubernetes, a variety of deployment tools are emerging to help them. Three interesting examples are Skaffold, Tilt, and DevSpace. While they all assist in building and deploying on Kubernetes clusters, their approaches are noticeably different.
Kubernetes is an excellent open-source container orchestration platform that brings automatic scaling, automatic recovery, observability, and many more features. Since it differs from traditional operations, it has changed the development and deployment workflows as well.
In recent years, many companies have turned to containerization for application delivery. However, containerization in an enterprise or production-grade environment presents different levels of complexity in terms of managing containerized applications at scale.
Octant is one of the best-known tools in the Kubernetes dashboard space. It’s a project that Bryan Liles built a lot of back when he was at Heptio.
Headlamp is an open source web UI for Kubernetes created by the team at Kinvolk, which was recently acquired by Microsoft. It’s a great-looking alternative to the built-in Kubernetes Dashboard.
When getting started with Docker, many developers quickly turn to Docker Compose to run their applications. Compose offers many advantages, such as having your configuration stored as code, making it easy to maintain and expand upon.
Command-line tools like kubectl are a great way to interact with Kubernetes clusters for some of us, but many people prefer a graphical interface. Kubernetes has a built-in dashboard, but some people are looking for features that it doesn’t support.
If you’re developing apps that run in Kubernetes, running them locally with Docker Compose may seem like a simple solution. But it can cause problems, as your local environment will be very different from how your apps run production.
Containerization is on an upward trajectory when it comes to enterprise adoption. This is primarily due to how containers solve the problem of application delivery and portability.
Many engineers developing apps that run in Kubernetes use Docker Compose for their local environment, but a lot of great alternatives are out there that make developing against a Kubernetes cluster fast and easy.
What makes developers happy and productive? If you talk to people who work in the tech industry, they will likely all have opinions on it, but there’s no clear, shared definition of developer productivity.
Using sandbox environments is very common for software developers because it allows them to work, test, and experiment in an environment that is isolated from the production system but still provides a realistic experience.
Kubernetes has left the state when it was mostly an ops technology behind and now is also very relevant for many developers. As I wrote in my blog post about the Kubernetes workflow, the first step for every developer who starts to directly work with Kubernetes is to set up/get access to a Kubernetes development environment.
More developers than ever before are now working with Kubernetes. This means that also their workflows have to change to account for this technology that originally was not made for developers.
The container orchestration technology Kubernetes has become the dominant solution for cloud infrastructure and as such it is maturing at an unrivaled pace. Many companies have already adopted Kubernetes or are in the process of it.
Kubernetes has matured so much recently that it even expanded beyond its original space as operations technology. So, also at least 1.7 million developers are already using Kubernetes as “The State of Cloud Native Development” by the CNCF stated for Q2 2019.
Adopting Kubernetes is a process that many companies are currently going through. The introduction of Kubernetes as infrastructure technology can take some time. (It took almost 2 years for Tinder to complete its migration to Kubernetes.
If you are on a higher level of cloud-native development (level 2 or higher according to this article about the typical cloud-native journey of companies), the developers in your team need to have a direct access to Kubernetes.
If you are one of the many companies using Kubernetes as an infrastructure technology, you might now ask yourself how to guide your engineers to use Kubernetes in the development phase of the software.