Operations | Monitoring | ITSM | DevOps | Cloud

In 2024, there’s no shortage of tools to help engineering teams track team health, productivity, or efficiency. But the problem with those solutions has been two-fold. First, most only track “output” metrics, with no insight into what’s causing teams to ship slower, or resolve fewer incidents. Second, these tools lack flexibility in data inputs and metric definitions, preventing teams from building their own unique measures of excellence.

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!

These days, where businesses are more reliant on technology than ever before, ensuring operational continuity is critical. At the heart of this effort is enterprise incident management, a discipline that ensures organizations can effectively handle unplanned disruptions and restore services as quickly as possible.

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.

Since the 2011 Scottish Digital Strategy, Scotland's political and economic commitment to the technology industry has been consistent and substantial. The 2020 Scottish Technology Ecosystem Review and the subsequent TechScaler startup programme are great examples of this dedication at work today. Edinburgh's vital role in these plans has been equally long-standing.

Learn how the Kubernetes Metrics Server helps monitor resource usage like CPU and memory, ensuring smooth cluster performance and scalability.

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.

A lot has changed for the National Institute of Standards and Technology NIST Framework since 2013, when former President Barack Obama signed Executive Order 13636 that directed the Executive Branch to: Since the creation of the NIST framework, we’ve seen an evolution in sophisticated cyberattacks on the rise with new challenges like AI.