DevOps

DevOps is an approach that fosters collaboration between development and IT operations teams, aiming to improve product quality and speed up time-to-market through automation and continuous process efficiency.

Here you will find informative articles on DevOps tools such as Ansible, Docker, Kubernetes and Terraform as well as valuable insights into the DevOps culture. Discover how modern technologies and best practices can optimize your IT processes.

DevOps Engineers: Between expectations and reality

An article that looks at the misinterpretation of the DevOps Engineer role and its consequences. We shed light on how the true role of a DevOps Engineer as a bridge builder and communicator between teams promotes an open and transparent corporate culture.
KEDA blog

Scaling Applications to Zero with Kubernetes and KEDA

For cost reasons, it is often neither feasible nor desirable to assign enough resources to a deployment for it to be able to handle peak loads at all times. Therefore, we typically scale applications up and down based on the load they are currently facing. This usually involves a minimum number of instances deployed at any time, even if there is no load. This minimum can force us to keep more worker nodes in our Kubernetes cluster than necessary as the instances have an assigned resource budget. In this blog post, we will take a look at how to reduce the minimum amount of deployed instances to zero and discuss which kinds of applications benefit from that the most.
Kubernetes kOps

Kubernetes kOps

The cloud and Kubernetes belong together, right? More or less, this is the case. Although containerized applications quickly find a home environment with cloud providers, for some myterious reasons, it’s not that easy to set up a Kubernetes environment in the cloud. Unless you use kOps, the tool written exactly for this purpose. This is how it works.
logging in kubernetes

Logging in Kubernetes with Fluent Bit and OpenSearch

Logging primarily serves us to log processes within a program. We expect this to lead, for example, to better auditing, a faster error analysis, and, as a result, more robust programming. Today, we want to show you how to persist and visualize logs in a meaningful way with the right tooling.
tracing all the things

Trace All the Things

When people plan infrastructures and architectures, they usually pay a lot of attention to logging and monitoring right from the start. The idea of tracing is often neglected until the first inexplicable problem occurs. It is my mission to prevent this.
kubeflow ATIX blog

Kubeflow at Home: AI and Kubernetes outside of Google & Co.

There are always new hot trends in the IT world: yesterday it was all about AI, ML and Data Science - today everything is running in containers. It's no wonder the two worlds are coming together: it is now possible to get Tensorflow-based AI environments running in a Kubernetes cluster. Possible, but not necessarily easy, as we learned.

DevOps Culture “without Bullshit”

Have you ever googled DevOps and tried to find an answer beyond bullshit bingo? No? Wonderful, then you've come to the right place. "Without bullshit" is, after all, exactly the buzzword we use to live DevOps for our customers and also for ourselves. And summarized in one sentence, it means: a mix of the right culture and the right tools.
Container Technologie beim IT-DLZ

Container Technology at IT-DLZ

At OSAD 2021, Matthias Kanzog from IT-DLZ Bayern gave an insight into the container technology used. "In order to be able to deploy applications faster and more flexibly in the future while ensuring data security, the IT DLZ decided to set up its own container operation." This is Matthias' answer to the "crucial question" about agility and flexibility in public authorities.
Kubernetes_Training

GitOps – Kubernetes The Easy Way: Part 1

The management of Kubernetes should be easy, simple and clear. Well-known DevOps practices and ultimately automation should be accessible by the management technique. The first GitOps principle, the declarative approach, is the essential Kubernetes management technique to leverage the desired feature set.
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