DevOps.

Learn how to streamline your DevOps workflows using the latest tools and techniques. Discover automation, continuous integration, and delivery strategies to improve your team’s efficiency and productivity.

Cloud, DevOps

Nagging can be good: Improving your AWS IaC with cdk-nag

Jovica Zorić
12. Dez. 2024
cdk-nag can check your code against predefined rule sets, helping you build smarter and safer cloud environments.
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ProductDock: Danijel Dragičević

DevOps

Danijel Dragičević
25. Sep. 2024

In this blog post, we will explore the automation of deployment of Mule applications to both CloudHub 1.0 and CloudHub 2.0 using GitHub Actions. We'll walk through how to configure our Mule application for deployment on both versions of CloudHub, streamlining the process from build to deployment.

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ProductDock: Danijel Dragičević

Backend, DevOps

Danijel Dragičević
29. Apr. 2024

In today's world, integrating our software with other systems isn't just a luxury – it's a necessity. Ensuring the proper quality of service becomes a more important and challenging task to do.

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ProductDock: Nikola Malinovic

DevOps

ProductDock
27. März 2024

During the third presentation at the year-end conference, our software engineer, Nikola Malinović, stirred the waters by delving into trunk-based development—a departure from the conventional Gitflow.

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ProductDock: Nataša Radaković, Nina Romanić

DevOps

Nataša Radaković & Nina Romanić
05. Dez. 2023

Machine learning operations (MLOps) aim to automate the entire lifecycle of the model, from development to deployment and management in production. Organizations can combine MLOps and GitOps concepts to achieve more efficient and controlled deployments and management of machine learning models.

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