DevOps

DevOps ist ein Ansatz, der die Zusammenarbeit zwischen Entwicklungs- und IT-Betriebsteams fördert, um durch Automatisierung und kontinuierliche Prozesseffizienz die Produktqualität zu verbessern und schnellere Markteinführungen zu ermöglichen.
Hier finden Sie informative Artikel zu DevOps-Tools wie Ansible, Docker, Kubernetes und Terraform sowie wertvolle Einblicke in die DevOps-Kultur. Entdecken Sie, wie moderne Technologien und Best Practices Ihre IT-Prozesse optimieren können.

Tag Archive for: DevOps

DevOps Engineers: Between expectations and reality

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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

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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

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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

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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

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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.

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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”

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Have you ever googled DevOps and tried to find an answer beyond bullshit bingo? No? Wonderful, then you've come to the right place. “No bullshit” is precisely the slogan under which we 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.