Operations | Monitoring | ITSM | DevOps | Cloud

Integrating Cloudsmith, a cloud-native artifact management platform, with Codefresh enhances your CI/CD workflows in several significant ways. Read this blog to learn more about this powerful combination, and its automation of artifact handling and simplification of deployments!

Packages in Cloudsmith repository are so much more than just “bits on disk”, and treating them as such is really doing them a disservice!

The difference between "Cloud Native" and "Cloud Hosted" products lies in their architecture, design philosophy, and how they leverage cloud infrastructure. Let’s break down the key distinctions.

swampUP 2024, the annual JFrog DevOps Conference, was unique in it’s addressing not only more familiar DevOps and DevSecOps issues, but adding specific operational challenges, stemming from the explosive growth of GenAI and the resulting need for specialized capabilities for handling AI models and datasets, while supporting new personae such as AI/ML engineers, data scientists and MLOps professionals.

Software development requires a comfortable setup to be successful. If a key on your keyboard isn't working, it feels like nothing is working. Your chair, lights, monitor – they all come together to help you be productive. But what's on the screen matters too. If you're looking to improve your focus, reduce eye strain and lift your overall code review experience, Bitbucket Cloud now offers a dark theme option, a long-awaited feature among our most passionate users.

With the increasing adoption of Kubernetes in recent years, there are various means and tools for achieving continuous delivery to Kubernetes. While it is possible to create a consistent CI/CD pipeline up to deploying to Kubernetes using CI/CD tools like CircleCI, there has been a rise in cases combining dedicated CD tools like FluxCD and ArgoCD to achieve this as well. A common aspect among these CD-dedicated tools is their adoption of GitOps.

When selecting a cloud migration partner, it’s essential to evaluate their capabilities, experience, and alignment with your business needs. Here’s a guide on what to look for.

Feature stores are rapidly growing in popularity as organizations look to improve their machine learning productivity and operations (MLOps). With the advancements in MLOps, feature stores are becoming an essential component of the machine learning infrastructure, helping organizations to improve the performance and ability to explain their models, and accelerate the integration of new models into the production.