The security and storage of secrets is one of the most controversial subjects when it comes to GitOps deployments. Some teams want to go “by the book” and use Git as the storage medium (in an encrypted form of course) while others accept the fact that secrets must be handled in a different way (outside of GitOps). There is no right or wrong answer here and depending on the organization requirements, either solution might be a great fit.

Software development, where agility and collaboration are paramount, DevOps has emerged as a transformative force. By breaking down traditional silos between development and operations teams, DevOps fosters a culture of efficiency, collaboration, and continuous improvement. In this blog post, we’ll delve into the power of DevOps and how it unlocks new levels of efficiency and collaboration within organizations.

Traditional development methodologies are being replaced by more efficient and collaborative approaches like DevOps. By integrating development (Dev) and operations (Ops) teams, DevOps streamlines the software delivery process, leading to faster time-to-market, improved product quality, and increased customer satisfaction.

Modern AI applications are having a dramatic impact on our industry, but there are still certain hurdles when it comes to bringing ML models to production. The process of building ML models is so complex and time-intensive that many data scientists still struggle to turn concepts into production-ready models. Bridging the gap between MLOps and DevSecOps workflows is key to streamlining this process.

Today marks an important milestone as Codefresh joins forces with Octopus Deploy, a leading player in the Continuous Delivery space. For those less familiar with Octopus, they have been at the forefront of delivering cutting-edge Continuous Delivery for VMs, Windows, and recently stepped into Kubernetes as well.

Sharing what i've learned as Cloudsmith's CEO, and how our customers use cloud-native artifact management to build with confidence.

The customer in question is one of the world’s leading providers of technology and telecommunication services. In this guide, we will share how one of their teams migrated from a traditional CI solution to a powerful Internal Developer Portal using Codefresh and Port.

CI/CD platforms are now an integral part of any software development approach. They help teams to automate critical phases of their workflow. From integrating new code seamlessly to deploying updates swiftly, CI/CD tools not only streamline operations but also promote continuous improvement. As we enter 2024, the world of CI/CD tools is more vibrant and essential than ever.

With Gartner estimating that over 90% of newly created business software applications will contain ML models or services by 2027, it is evident that the open source ML revolution is well underway. By adopting the right MLOps processes and leveraging the lessons learned from the DevOps revolution, organizations can navigate the open source and proprietary ML landscape with confidence.

This article is part of our series “Codefresh in the Wild” which shows how we picked public open-source projects and deployed them to Kubernetes with our own pipelines. We will use several tools such as GitHub, Docker, Codefresh, Argo CD, Kubernetes. This guide chronicles how we integrated all those tools together in order to build an end-to-end Kubernetes deployment workflow.