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The latest News and Information on Continuous Integration and Development, and related technologies.

AI-Driven DevOps: How Artificial Intelligence is Reshaping Software Delivery

DevOps (development and operation) has dramatically changed processes of management in tech companies. This method or, as they say, religion, introduced new philosophy into development and operations. Earlier, when only the waterfall method was used, all deployments were really painful: if something went wrong you had to look for the reason on every stage, in every team. Every change in development had an impact on operations and vice versa. After the introduction of DevOps method the interaction between development and operations prevented a lot of mistakes and made deployment much easier.

The Benefits of using containerization in DevOps workflows

Software development cycles demand rapid deployment and scalability, traditional infrastructure struggles to keep pace. Enter containerization—a revolutionary technology empowering DevOps teams to streamline their workflows, enhance portability, and drive efficiency in software development and deployment.

Testing a PyTorch machine learning model with pytest and CircleCI

PyTorch is an open-source machine learning (ML) framework that accelerates the path from research prototyping to production deployment. You can work with PyTorch using regular Python without delving into the underlying native C++ code. It contains a full toolkit for building production-worthy ML applications, including layers for deep neural networks, activation functions and optimizers. It also has associated libraries for computer vision and natural language processing.

Dave Farley reflects on 25 years of software development & the future of AI

In this episode Rob is joined by Dave Farley, software legend and author of books "Continuous Delivery" and "Modern Software Engineering”. The two tackle the essence of software development culture and the current state of software delivery. They unpack why it’s important to prioritize problem-solving abilities over technical skills when it comes to hiring, emphasizing a healthy culture and the need for continuous learning on the job.

Doing DevOps Your Way On SaaS Solutions: Writing Your First JFrog Worker Service to Extend JFrog SaaS

To recap from our first blog post, JFrog Workers is a service in the JFrog Platform that provides a serverless execution environment, similar to AWS Lambda services. The Workers Service is similar to the user plugins available in JFrog self-hosted, and can be used to perform tasks that extend the capabilities of the JFrog Platform according to your requirements.