In this blog series, we will explore the importance of merging DevOps best practices with MLOps to bridge this gap, enhance an enterprise’s competitive edge, and improve decision-making through data-driven insights. Part one discussed the challenges of separate DevOps and MLOps pipelines and outlined a case for integration. In this second of three blogs, we’ll …
As businesses realized the potential of artificial intelligence (AI), the race began to incorporate machine learning operations (MLOps) into their commercial strategies. But the integration of machine learning (ML) into the real world proved challenging, and the vast gap between development and deployment was made clear. In fact, research from Gartner tells us 85% of …
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 …
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 …
At swampUP 2024 in Austin just a few days ago, we explored the EveryOps Matters approach with the crowd of developers, driven by a consolidated view from their companies’ boardrooms and 2024 CIO surveys. The message was clear: “EveryOps” isn’t just a strategy or tech trend — it’s a fundamental, ongoing mindset shift that must …
According to Gartner, almost two-thirds of U.S. businesses were directly impacted by a software supply chain attack. So it’s not a question of whether to secure your software supply chain, but rather what is the most effective and efficient way to provide end-to-end security during all phases of the software development lifecycle (SDLC). The …
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 …
As we delve deeper into the era of software reliance, the 2024 JFrog Software Supply Chain report emerges as required reading for developers and DevOps professionals who are at the frontline of today’s technological innovations. DevOps and development themes from the 2024 report The report combines Artifactory data, analysis from the JFrog Security Research team, …
Removing friction between DevOps and Security teams can only lead to good things. By pulling in the same direction, DevOps can make sure developers continue to work with minimum interruption, while automation and background processes make security more effective and consistent than before. And, security teams have the visibility and understanding of the software development …
In celebration of International Women’s Day, I had the pleasure of speaking with two incredible female leaders in the software industry on our live panel session, “Women in DevOps: Moments of Leadership and Tech Evolution.” During the conversation with Jyostna Seelam, Senior Manager at Capital One, and Tracy Ragan, CEO of DeployHub, we discussed the …
