Simplifying Release Governance with JFrog
Learn how to streamline release governance with JFrog's Release Lifecycle Management and Evidence Collection.
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MLOps Your Way with the JFrog Platform
Just like in traditional software development, creating AI applications isn’t a one size fits all approach. However, many of the challenges and concerns facing AI/ML development teams share common threads – difficulties getting models to production, tangled infrastructure, data quality, security issues, and so on.
JFrog Academy - JFrog Artifactory: Repositories Management
Unlock the full potential of your software development process with the JFrog Artifactory - Repositories Management course! This free, self-paced course will guide you through everything you need to know about managing repositories, improving DevOps workflows, and optimizing your software supply chain. Learn how to: Subscribe for more tutorials, tips, and insights into DevOps, CI/CD, and management.
Breaking Silos: Unifying DevOps and MLOps into a Cohesive Software Supply Chain - Part 3
The synergy between DevOps and MLOps is more crucial now than ever. However, merging these two paradigms into a coherent software supply chain poses a unique set of challenges that can leave teams feeling overwhelmed. From the complexities of managing model dependencies to adapting conventional CI/CD tools for advanced machine learning (ML) workflows, the path to integration isn’t without its twists and turns.
Breaking Silos: Unifying DevOps and MLOps into a Cohesive Software Supply Chain - Part 2
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.
From Challenges to Strategy: Preparing for AI Success in 2025
This webinar features exclusive findings from the 2024 State of AI & LLMs Report and is designed to help you navigate today’s AI/ML challenges to effectively plan for 2025. Guy Levi (VP, Architects Lead) and Guy Eshet (Senior Product Manager, JFrog ML) will explore key trends and discuss how a unified platform that integrates between MLOps and DevOps can make a real difference for your organization when it comes down to security, efficiency and more.
Defending the Holidays: Avoiding the On-Call Pager this December
Three years after Log4Shell made headlines, its impact is still a wake-up call for developers and organizations worldwide. Are your systems secure? In this video, we break down: Stay ahead of vulnerabilities and protect your holidays with actionable insights and a quick demo of the JFrog Platform. Watch now to defend your systems and avoid those on-call holiday headaches!
JFrog Cloud: Architected for Performance at Scale
Petabytes of monthly data transfer. Thousands of concurrent requests per customer. Hundreds of thousands of requests per minute per customer. The JFrog Platform is a mission critical piece of software development and delivery infrastructure for companies that require performance at scale. When you’re supporting thousands of developers, even a minute of downtime or delay can mean millions of dollars lost productivity.
Now Open: The Software Supply Store
Whether you're dealing with,,, the number of software solutions is rapidly increasing and creating tool sprawl. You'll need a tool for , management, , , , and more!
Breaking Silos: Unifying DevOps and MLOps into a Cohesive Software Supply Chain - Part 1
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 AI and ML fail to reach production.