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By Guy Eshet
Developers building agentic AI on Google Cloud have powerful infrastructure at their fingertips: Gemini 3 for reasoning, Google’s Agent Development Kit (ADK) for orchestration, and a rapidly expanding ecosystem of Model Context Protocol (MCP) servers that connect agents to data and tools. So why are so many teams still waiting weeks to ship their first agent to production?
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By Michael Tulp
In the modern software factory, 99.9% uptime is no longer the gold standard. A standard 99.9% SLA translates to approximately 43 minutes of unexpected downtime per month. While industry data shows that a single minute of downtime costs an average of $9,000, for large global enterprises, that figure can easily be 5x higher. At tens of thousands of dollars per minute, those 43 minutes quickly compound into a catastrophic financial and operational risk.
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By Sean Pratt
In a large-scale DevOps environment, small discrepancies lead to massive headaches. You’ve likely experienced it: a script runs perfectly on a developer’s laptop but fails in the production pipeline. You spend hours hunting for the cause, only to discover a mismatch in CLI versions. At JFrog, we know the JFrog CLI is vital to your automation, but managing it manually across thousands of users and pipelines is a hurdle that slows you down.
For today’s leading enterprise computing environments, the concept of “centralized headquarters” is a relic. Today, R&D happens on different continents, spanning cloud, on-prem and hybrid environments, while stretching across multiple regulatory jurisdictions. But here is the hard truth: Most global organizations are still managing their binaries using legacy mirroring or “blind” infrastructure-level syncing. They treat artifact delivery like a basic file-transfer mechanism.
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By Dante Zannoni
We’re excited to announce that JFrog has officially earned the Microsoft Solutions Partner with certified software designation for Azure. This status is granted to partners who complete a technical review audit for interoperability with Microsoft products and demonstrate a consistent track record of customer success.
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By Shlomi Ben Haim
AI is creating an overwhelming surge of digital artifacts and software components. The key to success is learning how to ride, secure, govern, and manage that wave – rather than being overwhelmed by it. This weekend, I asked my team to watch Chasing Mavericks. Jay Moriarity (not J-Frog, but stay with me) was one of the most driven and determined surfers imaginable. His courage and spirit were extraordinary. But those virtues were shaped and refined by his mentor, Frosty Hesson.
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By Tom Arie
The “works on my machine” era is officially over. Nix is changing the way we think about software by treating packages as functional, immutable values, ensuring that a build works exactly the same way every time, on every machine. But while Nix excels on a local laptop, scaling that level of reproducibility across a global enterprise has historically been a challenge.
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By Sean Pratt
Software delivery is no longer a back-office function; it’s the heartbeat of the modern enterprise. While a 99.9% uptime SLA for essential software delivery services works for many, the acceleration of software velocity has made the “three-nines” benchmark a possible liability. For high performing software organizations, and those delivering critical services, nine hours of annual downtime represents a dangerous gap in productivity and security.
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By Sean Pratt
In the AI era, software and new models are being born at a breakneck pace—but they’re also bringing a lot of “baggage” into the world. While AI coding agents are busy accelerating innovation, they’re also excellent at generating a massive byproduct: “digital dust.” Between obsolete releases, orphaned dependencies, and massive model versions, your repository may soon start to look more like a digital junk drawer than a streamlined machine.
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By Yuval Fernbach
We are witnessing a fundamental transformation in how software is built. The industry has moved beyond the experimental phase of Machine Learning Operations and entered a complex new reality: the era of the AI Software Supply Chain. The adoption metrics confirm this shift is irreversible. Google reports that 90% of tech workers are now using AI as part of their daily work. Similarly, McKinsey data reveals that 88% of organizations use AI in at least one business function.
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By JFrog
AI agents are making real-time decisions inside enterprises right now; pulling code, accessing tools, executing tasks. But most businesses have zero visibility into what those agents are actually using. In this interview on @ausbizTV, Sunny Rao, SVP APAC at JFrog, explains why the governance gap is one of the biggest risks facing enterprises today; and how JFrog and NVIDIA are building the trust layer to fix it.
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By JFrog
This video features Brett Smith, a distinguished software developer at SAS Institute, discussing how the company secures its software production pipelines for its flagship AI and machine learning platform, SAS Viya 4. SAS initially utilized JFrog Artifactory for managing Java-based Maven and Ivy artifacts. To address the increasing need for robust security and compliance with global regulations, the company expanded its partnership with JFrog by integrating additional security tools to protect their delivery pipelines.
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By JFrog
Speed vs. Compliance: Why not both? In 60 seconds, JFrog CISO Paul Davis explains what is and how it bakes & into your CI/CD pipeline.
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By JFrog
How do your favorite apps update so quickly? One word: DevOps. JFrog Technical Engagment Manager, Ananya, explains that DevOps is the culture of getting Developer & Ops teams to work together with increased visibility across departments vs. in silos. Add some automation, and you get faster, safer software releases.
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By JFrog
In an era of AI-powered development, how do teams move fast and stay secure? JFrog SVP APAC, Sunny Rao, joined AusBiz’s The Last Call to break it down — from securing the software supply chain to why end-to-end visibility is now essential for every tech organization. Discover why this matters for the future of software and AI-driven innovation.
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By JFrog
What’s in store for Software Supply Chain security in 2026? With the types of software entering organizations ever-changing, and the volume ever-increasing, DevSecOps teams are facing new, and complex questions at macro and micro levels: How can teams effectively control and curate what enters systems? How can remediation be accelerated, while ensuring accuracy? How will the rising use of AI impact our threat landscape and can DevOps and Security teams truly share ownership of this emerging reality without adding friction?
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By JFrog
This resource helps users understand packages and artifacts in JFrog, offering tips on how to use the JFrog search to find these objects.
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By JFrog
Streamline Your Workflow: The New Cleanup Policy Optimize your artifact management with the New Cleanup Policy course! Learn how to automate retention, reduce storage costs, and improve workflow efficiency.
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By JFrog
JFrog's VP of Product Marketing, Jens, discusses how the company is positioned at the crossroads of traditional and AI-driven software development. Learn how JFrog's platform acts as the crucial system of record, converging multiple code sources into a unified pipeline through strategic moves like the GitHub partnership and key acquisitions. Hear Jens' insights on JFrog's role in shaping the future of software delivery.
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By JFrog
Learn how to streamline release governance with JFrog's Release Lifecycle Management and Evidence Collection.
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By JFrog
Cloud DevOps tools offer greater flexibility, rapid deployment, cloud automation, reduced IT costs, and low upfront costs with subscription pricing. Setting up your environment with Artifactory on the cloud on your choice provides unlimited scalability allowing you to grow according to your needs and is easily achieved by using cloud storage providers (Amazon AWS, Google GCP or Microsoft Azure) in your environment with Artifactory.
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By JFrog
Software businesses of every industry and all sizes, from small startups to large enterprises, are looking for ways to accelerate their software development process in the race to innovate and deliver their offerings to their customers ahead of their competition.
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By JFrog
Today, we live in a very connected world, where our devices, homes and cars all communicate with each other, and every company with a product or service has the need to develop software. It is one of the primary mediums by which they strive to provide better products, services and solutions, and has become paramount to a company's success. To continuously improve their software, companies must have sound DevOps or DevSecOps practices in place.
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By JFrog
In today's enterprises, software is your company's everyday face, whether through the desktop, the cloud, or a mobile device, to all parts of the globe. Cars are computers on wheels. Thermostats are data terminals. Banks live in your phone. In this new world, software updates serve customer's demands. Each one you deliver is your opportunity to renew - or, if botched, destroy - their trust. How can you make every update top-notch at top speed?
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By JFrog
Over the last several years, software development has evolved from deploying products periodically to building them on an ongoing basis using CI servers. A company's end product may be built on a daily or even hourly basis. This means that DevOps must support the continual flow of code from the individual developer's machine to the organization's production environment.
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By JFrog
Two numbers are shaking the foundations of business. What do these two figures mean to your business? They mean that, odds are your competitive landscape is irrevocably changed - already. To start, expectations for delivery speed for new products, services, and everything are faster. The new table stakes in the DevOps world have raised the bar on collaboration, cross-organizational visibility, efficiency, even company culture. Another thing these two simple stats mean is that most businesses are already there, or heading there now.
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JFrog products seamlessly integrate with practically any development environment on Earth, from legacy code to the most recent containers and micro-services.
JFrog's end-to-end platform provides a fully automated pipeline for distributing trusted software releases. Connecting all developers, DevOps engineers and product owners to end devices, the JFrog Platform ensures software flows quickly and free from interruption.
End-to-End Universal DevOps Platform:
- JFrog Artifactory: The undisputed software repository leader for integrated, universal artifact management at enterprise scale.
- JFrog Container Registry: The world’s most flexible, hybrid container registry, with enterprise-grade resiliency backed by JFrog Artifactory.
- JFrog XRay: Universal security vulnerability & compliance analysis, natively integrated with Artifactory for continuous governance across the DevOps pipeline.
- JFrog Pipelines: Universally orchestrate software releases and master the entire CI/CD pipeline from code to production.
- JFrog Distribution: Secure and validate your software releases, allowing trusted, optimized software distribution on a global scale.
- JFrog Mission Control: A single access point providing a centralized dashboard to oversee your DevOps pipeline.
Universal Artifact Management for DevOps Acceleration.