Kubernetes

Internal DevOps Training (2022-2023)

This free DevOps course provides an extensive look at Kubernetes, blending on-premises and cloud solutions with a focus on industry best practices. It is designed for both beginners and experienced developers, covering key aspects like development process optimization, application deployment, and infrastructure scaling. The course offers deep insights into Kubernetes, preparing learners for a successful tech industry career. Organized into well-structured lessons, it includes a wealth of resources and code snippets from various external repositories. This course is an invaluable opportunity for those seeking to enhance their DevOps skills and industry knowledge.

Alliedium AIssistant (2020-2022)

ML-based automated issue management, defect classification and bug triaging.

Awesome Software Engineering (2020-present)

A curated list of awesome software engineering resources.

Scalable machine learning with Apache Ignite, Python and Julia: from prototype to production

Building a distributed and scalable ML-enabled backend on top of Apache Ignite, Ray Serve, Scikit-learn and PyTorch.

Scalable machine learning with Apache Ignite, Python, and Julia: from prototype to production

Peter Gagarinov shares his experience with integrating Apache Ignite with external machine frameworks.

Using Apache Ignite to boost the development of Jira Cloud apps

Peter shares his Apache Ignite experience. He will show how one can minimize the number of blocks in a complex, scalable backend for an ML-based, automated issue-management system (Alliedium), as you stay within the Java ecosystem and the microservice paradigm.