Operations | Monitoring | ITSM | DevOps | Cloud

In this webinar, RunSafe and JFrog will introduce cutting-edge security techniques, allowing users to protect both source and binary code flowing through their pipelines from memory based attacks. Includes a walkthrough of a real world exploit where Alkemist was successful at mitigating the attack in Apache/PHP.

Do you know how to use a chart repository for hosting and sharing Helm Charts? In this video, Rookout's walks us through JFrog’s ChartCenter, and shows us how to add a repository. ChartCenter is a free chart repository which makes it easy for the development community to upload and share charts with other developers.

The Splunk App for JFrog Platform Log Analytics processes extracted log data for the JFrog Platform, the universal, hybrid end-to-end DevOps platform. The app provides a set of operations diagnostic dashboard views for JFrog Artifactory and JFrog Xray error tracking. Learn how the Splunk app works, with some demonstration of its use.

When you’re new to an industry, you encounter a lot of new concepts. We tend to use a lot of jargon, the documentation may be written with someone more experienced in mind or rely on contextual knowledge of the rest of the space, and it often doesn’t explain the “why” for the tool. This can make it really difficult to get your feet underneath you on an unfamiliar landscape, especially for junior engineers.

As software is the product in many of today's businesses, the need to manage the value stream from development to production is critical to ensure consistency of information, compliance and supply chain collaboration.In order to consistently deliver high velocity and quality of applications, engineering teams require visibility into how code is moving from dev to prod in a stable and efficient manner. Just as Observability is changing the way teams managing their applications in production, the concepts of observability apply to the entire software value stream.

By design Kubernetes applications generate a high volume of log data across what could be hundreds of nodes. Centralized logging becomes critical for production applications, as it is otherwise near-impossible to quickly find the correct log file, and logs can be lost when pods crash.