ABOUT THE AUTHOR

Paweł Gołębiewski

System & Network Administrator

System & Network Administrator at CodiLime. Unironically, he enjoys writing documentation. Likes to automate things using Python and Ansible. Wants to delve deeper into DevOps and IT Security in the near future. In his free time, Pawel’s an avid RPG and platform gamer. There’s no music he hasn’t listened to, but he prefers heavy sounds from gangsta rap to black metal.

Paweł Gołębiewski

Recent posts by Paweł:

Thumbnail of an article about The best CI/CD tools and how to choose the right one
OPERATIONS

The best CI/CD tools and how to choose the right one

In an era where DevOps practices are becoming integral to organizational success, the adoption of CI/CD processes is rising. According to a Puppet report, almost 8 out of 10 organizations are in the middle of DevOps implementation. The smooth and efficient execution of these processes hinges on the right tools. Drawing from our expertise, we've curated a selection of top-tier CI/CD tools to empower you in constructing a high-impact CI/CD pipeline. Before we delve into more details, let’s look at what the acronym CI/CD stands for.
Multiple authors

Multiple authors

Thumbnail of an article about How to use NVIDIA GPUs with Kubernetes — CodiLime approach
CLOUD

How to use NVIDIA GPUs with Kubernetes — CodiLime approach

The combination of NVIDIA GPUs, to allow computing power to be harnessed, and Kubernetes, responsible for managing containerization, may seem like a perfect marriage of two complementary tools, and an obvious solution. Yet, at the technical level, this combination, like many marriages, turned out to be more tricky than might have been expected. Read this blogpost to find out how CodiLime managed to find a way to deal with this matter. Let’s introduce the main characters then: NVIDIA GPUs (Graphic Processing Units) are powerful tools used to accelerate computationally-intensive tasks.
Paweł Gołębiewski

Paweł Gołębiewski

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