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Self-Hosted or SaaS, JFrog Has You Covered

Freedom of choice can make choosing harder. Since a JFrog cloud (SaaS) account provides the same functionality as a self-hosted JFrog Software Supply Chain Platform how will you decide which is right for you? Choice without tradeoffs is one of the key ways JFrog enables you to be cloud-nimble, and run the mission-critical heart of your DevSecOps process wherever you need it to be — in any cloud, public or private, as SaaS, BYOL, or on-prem. So how will you decide?

Docker File Best Practices For DevOps Engineer

Containerization has become a cornerstone of modern software development and deployment. Docker, a leading containerization platform, has revolutionized the way applications are built, shipped, and deployed. As a DevOps engineer, mastering Docker and understanding best practices for Dockerfile creation is essential for efficient and scalable containerized workflows. Let’s delve into some crucial best practices to optimize your Dockerfiles.

How To Build Your DevOps Toolchain Effectively

Software development, the adoption of DevOps practices has become imperative for teams aiming to streamline workflows, boost collaboration, and deliver high-quality products efficiently. At the heart of successful DevOps implementation lies a robust toolchain—a set of interconnected tools and technologies designed to automate, monitor, and manage the software development lifecycle.

Improve your shift-left observability with the Datadog Service Catalog

Your applications are only as powerful as they are iterable. To keep up with their rapidly changing production environments, your teams need reliable CI/CD systems that implement best practices—including build and test automation, flaky test management, and deployment management. By optimizing their CI/CD pipelines, your teams can build their apps more efficiently, deploy them more safely, and catch bugs and security vulnerabilities before they make it to production.

Stop guessing: Master canary deployments with Ocean CD Baseline

Today’s companies need to determine whether their software rollouts are successful to ensure good user experience, software stability, reliability, and effectiveness during rollouts. To assess their rollouts, they monitor metrics like memory consumption, CPU usage, error rates, and more.

How Cloudsmith Helped Protect the Software Supply Chain in 2023

As the "new guy" here at Cloudsmith (I was named CEO in August), I'm learning more every day about how customers use us to protect their software supply chains. We're doing everything we can to give you a single source of truth for every artifact - whether it's an open source package, a Docker container, a Linux image - that enters your software supply chain, and everything that you produce on the other side.

Custom Merge Checks in Bitbucket Cloud

Bitbucket Cloud is on a mission to become the most extensible cloud SCM and CI/CD product in the market. We believe that extensibility is a key enabler for large, complex organisations to operate effectively in the cloud, and we are excited to be leveraging Atlassian’s industry-leading extensibility platform, Forge, to bring this mission to life.

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.