It's easy to get lost in today's continuously changing landscape of cloud native technologies. The learning curve from a beginner's perspective is quite steep, and without proper context it becomes increasingly difficult to sift through all the buzzwords. If you have been developing software, chances are you may have heard of Kubernetes by now. Before we jump into what Kubernetes is, it's essential to familiarize ourselves with containerization and how it came about.

Most of our blog posts are dedicated to Android, iOS and JavaScript development because those are the most interesting platforms for our users. However, from time to time, we also think it’s important to share what’s happening behind the scenes. In this post we’ll be highlighting some of the recent improvements we’ve made to Bugfender’s infrastructure.

Kubernetes and Docker each play a vital role in modern, microservices-based application development. Since Kubernetes and Docker work in unison to help develop, deploy, and manage large-scale applications – they are not mutually exclusive technologies and they are certainly not in competition with each other. Nevertheless, Kubernetes and Docker are often misunderstood by the non-developer community. To clear up the confusion around Kubernetes vs. Docker, we’ve written this guide.

The “as a service” business model continues to grow rapidly, largely thanks to the rise of cloud computing. “As a service” offerings deliver IT products and technologies such as software, hardware, and data storage to consumers via the Internet, rather than having to install or manage them themselves. Serverless and containers are two such “as a service” technologies that have seen increasing adoption in recent years.

Kubernetes is an open-source platform for container orchestration. You can use it to deploy a highly resilient, self-healing infrastructure using automation and infrastructure as code (IaC). Kubernetes includes features for zero downtime deployments, scaling, automatic rollout and rollback of updates, and service discovery. Kubernetes is designed to help you manage container deployments at scale via REST API.

If your company has already started getting into machine learning / deep learning, you will quickly relate to the following story. If your company is taking its first steps into data-science, here is what is about to be dropped on you. If none of the above strikes a chord, well it’s probably good to know what’s out there because data-science is all the rage now, and it won’t be long until it gets you too 🙂

As new advances in software development have allowed developers to increase their velocity and push out new software at ever increasing speeds, one less measured metric is software understandability. Although it probably seems obvious, when building new software the goal should always be to build software that is as simple and easy to understand as possible.

Kubernetes (k8s) enables you to efficiently orchestrate container management, in the cloud or on-premises. As a whole, k8s provides many benefits, including features for self-healing, automated rollouts and rollbacks, load distribution, and scalability. However, k8s is a highly complex platform and requires extensive configuration.

Once upon a time, we had these giant structures where thousands of people would congregate to share ideas, pamphlets filled to the margins with buzz words and cheap, branded t-shirts. Yep, tech conferences – oh what a relic of the past that I miss. It used to be part of my job to attend these.