OpenCV is a powerful open source computer vision and machine learning software library for real-time applications. It provides multiple functionalities, including image processing, object detection, and video analysis, making it a fundamental tool for researchers and developers in the field of computer vision. You can deploy your OpenCV applications using AWS Lambda, a serverless compute service that lets you run code without provisioning or managing servers.

Learn how to strengthen and maintain your Zero Trust security posture, improve compliance, and reduce risk with Cloudsmith's armory of access, pipeline, publishing, and monitoring controls.

If you work with virtual machines or install and configure software on EC2 or leverage dynamic runtimes, chances are you’re also using Ansible. In fact, JFrog has supported installation via Ansible for some time. If they’re not using Red Hat, the way most organizations have managed their Ansible Collections – including Roles – is by storing them in Git repositories.

API giant Kong has handed the reins of its software distribution to Cloudsmith. Learn why in this case study recap + video.

Prevent buyer's remorse. Use these ‘green flags’ from our Senior Director of Customer Success to find + pick a vendor that’ll keep you moving forward whenever the unexpected threatens to hold you back.

Successful DevOps implementation is critical for enhancing the efficiency, reliability, and quality of software development and delivery. To evaluate the effectiveness of DevOps practices, various metrics can be used. Below is a detailed overview of key metrics.

When working with ML models, it’s fair to say that a model is only as good as the data it was trained on. Training and testing models on quality datasets of an appropriate size is essential for model performance. Because of the intricate link between a model and the data it was trained on, it’s also important to be able to store datasets and versioned models together.

Widespread adoption of containerized infrastructure has been closely followed by an explosion of container-native tools for each layer of the stack, including new solutions for managing CI/CD pipelines in container-based environments, such as the Argo suite, FluxCD, and Tekton. This is because these lightweight solutions make it easier to automate builds, testing, deployments, and more on Kubernetes, as well as other platforms that manage containerized workloads and services.

In the fast-paced world of software development, the ability to quickly and reliably deliver software is paramount. This need has led to the evolution of CI/CD—Continuous Integration, Continuous Delivery, and Continuous Deployment—practices that streamline and automate the development lifecycle. Below, we explore these core CI/CD concepts and related automation practices that are transforming the software industry.