Operations | Monitoring | ITSM | DevOps | Cloud

How to Use WAN AI to Generate Realistic Videos

In the ever-evolving world of technology, artificial intelligence (AI) continues to push the boundaries of what is possible. One area where AI is making significant strides is in the generation of realistic videos. With the help of WAN AI technology, creating lifelike videos has never been easier. In this article, we will explore how to use WAN AI to generate realistic videos, the benefits of this technology, and how you can integrate it into your own projects.

5 Leading AI Influencer Makers for Social Media Growth

Social media success now depends on creativity, consistency, and innovation - and AI influencers are redefining what it means to connect with audiences. These virtual personalities allow brands and creators to tell stories in new ways, maintaining perfect control over image, tone, and message. Unlike traditional influencer partnerships, AI influencers never miss deadlines, don't require contracts, and can be customized to fit any brand identity. The best part? Creating one is easier than ever, thanks to new-generation AI influencer makers that combine realism, motion, and storytelling tools.

How to Automate Change Management Evidence using Kosli and ServiceNow

Are your deployments getting stuck waiting for approvals? Your code is ready. Your tests are green. But your ServiceNow change ticket is still holding up the release. In most organizations, this isn’t a people problem or a process problem. It’s an evidence problem. Every release has to prove that it met the required checks — tests, scans, reviews, and approvals. But when that proof isn’t instantly available, everything slows down.

Storage and Story: Why Artifact Repositories Need Provenance

An artifact repository like JFrog Artifactory is a cornerstone of modern DevOps. It stores binaries, versions, and release bundles — your complete “what.” But when audits or incidents happen, the question quickly shifts from what to how: “How did this artifact get here — and can we trust it?” If all you have is a warehouse of files, you’re left scrambling to reconstruct the story. You check pipeline logs. You pull test results. You cross-reference approvals.

Building the Future of Software Delivery Controls: Inside the FINOS SDLC Governance Working Group

In October, technologists from across the financial industry gathered in New York for OSFF 2025 where the general theme was clear: open collaboration has moved from promises to proof. Projects like Fluxnova and OpenGris showed how institutions can build shared, production-grade infrastructure. The Common Cloud Controls and AI Governance Framework demonstrated that regulatory assurance can be achieved collaboratively, not competitively.

Build Your Kubernetes Monitoring Foundation with kube-prometheus-stack

When you run Kubernetes at scale, one of the first challenges is understanding what the cluster is actually doing. Workloads shift around, pods restart for normal reasons, and traffic doesn't always follow the patterns you expect. Having clear signals makes day-to-day operations much easier. That's where kube-prometheus-stack helps. It brings Prometheus, Grafana, Alertmanager, and supporting components together as a single package.

Beyond Models: JFrog AI Catalog Evolves to Detect Shadow AI and Govern MCPs

When we first introduced the JFrog AI Catalog, it was our mission to provide the industry with a single system of record for governing the complex landscape of internal, open-source, and external commercial AI models. This foundational step was critical for enterprises to move from uncontrolled innovation to delivering AI with trust and confidence. However, the AI landscape is ever-evolving. The challenge for today’s enterprise is already evolving beyond simply managing a library of known models.

Securing Vibe Coding: JFrog Introduces AI-Generated Code Validation

A fundamental shift in software development is already here. Gartner predicts that by 2028, 75% of enterprise software engineers will use AI code assistants – a massive leap from less than 10% in early 2023. While this AI-driven speed creates a competitive advantage, it also opens a dangerous new front in the battle for software supply chain security.

Canonical Kubernetes officially included in Sylva 1.5

Sylva 1.5 becomes the first release to include Kubernetes 1.32, bringing the latest open source cloud-native capabilities to the European telecommunications industry With the launch of Sylva 1.5, Canonical Kubernetes is now officially part of the project’s reference architecture. This follows its earlier availability as a technology preview in Sylva 1.4.

APM vs Observability: What comes next?

Remember how I said that blog was going to be my last entry on the topic of "APM vs Observability?" Well, it turns out I had a little more to say. I'd like to spend a few moments talking about the future of APM and Observability. I think it comes down to two major initiatives: AI and Open Telemetry. (NOTE: in this section, I'm using the word "observability" to refer to the discipline of monitoring and observability as a whole, rather than any specific tool, technique, or vendor-based solution.)