Operations | Monitoring | ITSM | DevOps | Cloud

jfrog

The Tide of AI - Surfing the Tsunami of Binaries

Mar 2, 2026 By Shlomi Ben Haim In JFrog
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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mezmo

Why we open-sourced AURA: Infrastructure for production AI

Mar 2, 2026 By Henry Andrews In Mezmo
Over the last year, I’ve talked to dozens of SRE teams about AI. The excitement is real, but conversations hit a wall when we get to production reality. How does an agent manage complex context without losing the plot? How does it avoid hallucinating relationships between signals? Who owns the orchestration logic that ties it all together? We realized the bottleneck wasn’t model intelligence. It was the lack of a reliable logic layer between the data and the model.
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Komodor

When AI Writes the Code, Who Pays the Cloud Bill?

Mar 1, 2026 By Ilan Adler In Komodor
This is part two of a series of the implications of AI generated code becoming mainstream. We recently wrote about how AI-generated code is overwhelming SRE teams with production complexity they can’t manage. Turns out that’s only half the problem. The other half shows up on the cloud bill. A prospect reached out to us last month. They’d been using Cursor and Claude Code for six months, shipping features at unprecedented velocity. Product was thrilled.
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Humanized AI Text for Stronger DevOps and Operations Content

Humanized AI Text for Stronger DevOps and Operations Content

Feb 28, 2026 By OpsMatters In OpsMatters
You create content for operations teams, DevOps engineers, SREs, and IT decision-makers. Topics include monitoring, incident management, cloud infrastructure, ITSM processes, and observability tools. AI generates initial drafts quickly. The results frequently come across as mechanical. Sentences follow predictable patterns. Technical explanations lose nuance. Readers in this field expect precise, practical language from experienced practitioners. They detect generated text easily. Engagement drops when content feels detached from real-world ops challenges.
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fabrix

How Fabrix.ai Agents Ensure Data Privacy & Security

Feb 27, 2026 By Shailesh Manjrekar In Fabrix
As Agentic AI moves into enterprise environments, IT and security leaders face a critical challenge on how to leverage advanced LLMs without exposing sensitive data, intellectual property, or proprietary configurations to the cloud. You cannot build a self-driving, autonomous IT infrastructure if your security team blocks the deployment, and that’s exactly why the Fabrix.ai platform features an Enterprise-Grade LLM Integration architecture anchored by our built-in Data Security layer.
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canonical

Canonical and Ubuntu RISC-V: a 2025 retro and looking forward to 2026

Feb 27, 2026 By Canonical In Canonical
2025 was the year that RISC-V readiness gave way to RISC-V adoption. It’s been quite a journey. What began years ago as early architectural exploration and enablement has matured into real silicon, systems, and deployments. In particular, RVA23 provides a stable and predictable baseline we can align on with our wider ecosystem of partners. At Canonical, we’re committed to making RISC-V a viable option for anyone who wishes to adopt it.
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