Operations | Monitoring | ITSM | DevOps | Cloud

jfrog

The Evolution of JFrog AI Catalog: Your AI Control Plane for Agentic Development

Sep 2, 2026 By Guy Eshet In JFrog
In a single morning, a coding agent can pull an open-source model, connect to an unvetted MCP server, and execute a code-optimizing skill from the web. In the rush toward agentic automation, these AI assets quietly bypass traditional security reviews, creating new attack vectors across the software supply chain. Closing this blind spot has been the driving force behind the JFrog AI Catalog since its launch at swampUP 2025.
Read Post
cloudzero

Our Customer Success AI bill tripled. Here's why we're spending more.

Sep 2, 2026 By Scott Castle In CloudZero
Pop quiz: If you spend $40,000 per month on Anthropic, and you’ve got two customers, what’s your cost per customer? If you bypassed the easy answer of $20,000 and said, “Scott, you old trickster, that’s not enough information to answer that question,” you’ve won today’s prize: a lesson in the perils of average costs. Let’s flesh out the situation: You put an AI feature in your product, a document assistant powered by Claude.
Read Post
cloudzero

Shipped: Rightsize Kubernetes workloads without leaving your MCP client

Sep 2, 2026 By Kevin Lamb In CloudZero
Changing a Kubernetes resource request takes two numbers: what the workload requests, and what it uses. The CloudZero MCP server now returns both, by cluster, namespace, or workload. This gives you a number you can defend. Usage comes back as P95 over the date range you query, 30 days by default. When an engineering lead asks whether a service runs on a smaller request, that is the figure that settles it. Over-provisioning and under-provisioning show up on the same query.
Read Post
cloudzero

LLM token cost: pricing per token explained

Sep 2, 2026 By Lyne Carolyne In CloudZero
LLM token cost is the price a provider charges per token a model reads or writes, quoted in dollars per million tokens. Input and output bill at separate rates, with output priced at roughly 5x input. As of September 2026, published rates range from under $0.10 to more than $180 per million tokens on top-end reasoning tiers. In late 2025, Hardik Sonetta of Thomson Reuters Labs published a warning about the most common prompt caching mistake in production.
Read Post

How Is AI Changing IT Operations? Building Production-Ready AI Agents with Alex Zinovy

Sep 2, 2026 By Resolve In Resolve
How is AI changing IT operations, and what does it take to move AI agents from impressive demos to production-ready systems? In this episode of Agents of IT, Resolve’s Zack Austin sits down with Alex Cinovoj, Founder and CTO of TechTide AI, to explore what enterprise AI looks like when it has to work in the real world. Alex brings years of hands-on IT, infrastructure, DevOps, and AI engineering experience to a conversation about the shift from experimenting with AI to building trustworthy systems that deliver measurable outcomes.
View Video

Outrun the Threat Window: AI-accelerated Vulnerability and Patch Management

Sep 2, 2026 By N-able In N-able
The gap between vulnerability disclosure and active exploitation is shrinking—often from weeks to mere hours. Traditional patching cycles no longer cut it. In this session, discover how AI-accelerated solutions can help you: Identify exposed assets faster Prioritize vulnerabilities by real-world risk Remediate across Windows, macOS, Linux, and hundreds of apps Verify success with a connected workflow Learn how our approach, powered by AI-driven insights and automation, can help you close the gap before attackers strike. Watch now and take control of your patch management.
View Video
sumologic

The six pillars of AI-ready telemetry

Sep 2, 2026 By Chas Clawson Bogdan Kireeve In Sumo Logic
“AI-ready” is everywhere right now, attached to nearly every product in every category. The catchy label rarely means anything specific, just as additional questions are warranted when vendors claim to be “AI-native”. After fighting through all the marketing jargon, there needs to be a standard, not a slogan. And the definition changes depending on what the data is for. AI-ready for a data warehouse and AI-ready for live operational telemetry are not the same problem.
Read Post

AI didn't kill tech debt, it just changed the currency you pay it in.

Sep 2, 2026 By Cortex | Engineering Operations Platform In Cortex
Ganesh Datta on why every team still has a finite budget, now it's tokens instead of headcount. $500 to spend: ship the feature or fix the P2? The orgs building a framework for that call now will have it a lot easier when the CFO puts a cap on spend. From Braintrust by Cortex. Full episode out next Thursday.
View Video
From AI Prototype to Production: The Technical Architecture Enterprises Need

From AI Prototype to Production: The Technical Architecture Enterprises Need

Sep 2, 2026 By OpsMatters In OpsMatters
Building a generative model that spits out flawless answers in a controlled notebook feels like a massive win for any engineering team. But watching that exact same model crash the second it hits real, concurrent user traffic? That is a frustrating reality check. The gap between a slick proof of concept and a mission-critical deployment is surprisingly wide, and it almost always comes down to the underlying infrastructure. If your systems cannot handle the dynamic load, the smartest algorithm in the world will not save you.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.