Operations | Monitoring | ITSM | DevOps | Cloud

Gain Clarity on Cloud Usage with Enhanced Monitoring from MyJFrog

We can all agree that visibility into resource usage is crucial for optimizing performance and managing costs to drive your business — especially in today’s cloud-driven world. MyJFrog is a comprehensive management portal for overseeing JFrog cloud platform instances and subscriptions. It provides a centralized control tower to manage and monitor subscriptions, resources, and usage.

New and Improved: The JFrog Packages User Experience

I think we can all agree that, in general, different users have different needs. For instance, we’ve found that developers generally use Artifactory to find, select, and then install packages into their development environment, while administrators tend to use Artifactory for troubleshooting, confirming package operations, and other related analyses.

swampUP Recap: "EveryOps" is Trending as a Software Development Requirement

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.

Feature Store Benefits: The Advantages of Feature Stores in Machine Learning Development

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.

Proudly Announcing JFrog's Full Conformance to OCI v1.1

JFrog has long supported standards widely used by developers, including OCI container images. We started with our OCI-compliant Docker registry, then followed up with dedicated JFrog Artifactory OCI repositories. In our continued commitment to developer freedom of choice, we’re excited to take another leap forward. JFrog is now fully conformant to OCI v1.1. Source: OCI Conformance Page JFrog is now fully certified to the OCI v1.1 standard.

How to Deploy Machine Learning Models into Production

Machine learning (ML) models are almost always developed in an offline setting, but they must be deployed into a production environment in order to learn from live data and deliver value. A common complaint among ML teams, however, is that deploying ML models in production is a complicated process. It is such a widespread issue that some experts estimate that as many as 90 percent of ML models never make it into production in the first place.

Elevating Innovation: GitHub & JFrog Paving the Way Forward

What happens when the leaders in code management and GenAI join forces with the binary management and software supply chain security experts? Join Yonatan Arbel, Developer Advocate, JFrog and Brian A. Randell, Staff Developer Advocate, GitHub as they detail game-changing advances in the world’s top DevOps and DevSecOps platforms and how together, JFrog and GitHub are creating tectonic shifts in the development landscape.

Shlomi Ben Haim, CEO & Co-Founder, JFrog - EveryOps Matters

Developers used to code. Now they manage, import, secure, build, package, deliver and monitor… the list of every “Ops” is ever-growing. As if this wasn’t enough, they are now being asked by the C-suite to work with data science and machine learning teams in a gold rush of AI and ML-enabled application delivery. In our annual swampUP kickoff, join JFrog Co-founder and CEO Shlomi Ben Haim - alongside a special guest - as we explore how developers may still start with code and CI, but are increasingly asked to hold the reins of EveryOps; building, securing and delivering alongside the machines and systems they created.