Operations | Monitoring | ITSM | DevOps | Cloud

scout

You Are Building With AI. Who Is Watching What It Ships?

May 14, 2026 By Sarah Morgan In Scout
AI coding assistants have made it possible for a single developer to build and ship a production application in a weekend. Claude Code, Cursor, GitHub Copilot, and similar tools can scaffold a Rails app, write the models, generate the views, wire up the API, and push to production before Monday. This is genuinely exciting. It is also genuinely dangerous if you do not have monitoring in place before you ship.
Read Post

LLM Observability: Lessons From MLOps w/ Maria Vechtomova (Cauchy)

May 14, 2026 By Rootly In Rootly
For nine years, Maria Vechtomova was shouting about monitoring. Nobody cared, until LLMs arrived. As co-founder of Cauchy, Databricks MVP, and one of the most followed voices in MLOps, Maria has watched the field evolve from hand-built experiment trackers to today's flood of observability tools, and her central claim might surprise you: globally, nothing has changed. The fundamentals are the same: track your code, data, and models so you can roll back when something breaks.
View Video
sentry

New ways to agentically build and edit dashboards

May 14, 2026 By Ben Coe In Sentry
The traditional dashboard workflow, teams slowly handcrafting visualizations to track critical KPIs, is dying in a world of AI agents. A few years ago, in a pre-agentic-everything world, we tried to make it easier for developers to monitor critical experiences. We introduced Insights pages, which were pre-configured dashboards any Sentry user could adopt instantly that surfaced common health signals, like Web and Mobile Vitals.
Read Post
tigera

The AI Agent Accountability Crisis: Why Governance Isn't Keeping Up With Deployment

May 14, 2026 By Alister Baroi In Tigera
Every enterprise is building AI agents. Marketing has one summarizing campaign performance. Engineering has one triaging incidents. Customer support has one resolving tickets. Finance has one processing invoices. Each was built by a different team, using a different framework, with different assumptions about security. Now those agents are talking to each other through agent-to-agent (A2A) communication. The incident-triage agent calls the customer-support agent to check affected accounts.
Read Post

AI Asked Our General Counsel Anything. She Didn't Hold Back.

May 14, 2026 By Harness In Harness
What happens when AI interviews a tech leader? You get unexpectedly honest answers. Harness General Counsel Hanna Steinbach sat down with ChatGPT — and skipped the corporate script. From the realities of parenting while leading a legal team at a high-growth startup, to the daily habits that keep her grounded, this is the kind of candid leadership perspective you rarely see. Oh, and she's definitely the person sprinting to the gate right as boarding starts.
View Video
From GPUs to Futures: The Financialization of AI Compute

From GPUs to Futures: The Financialization of AI Compute

May 14, 2026 By OpsMatters In OpsMatters
The decision by CME Group and Silicon Data to create computing-power futures may become one of the most important infrastructural developments in the current stage of the artificial intelligence industry. While Nasdaq futures reflect expectations for technology-heavy growth stocks, including AI-related names, computing-power futures would track a more fundamental input: the cost of the infrastructure on which AI companies increasingly depend. In effect, for the first time, the market is beginning to formalize computing resources as an independent financial asset, comparable in function to oil, electricity, or industrial metals.
Read Post
Nano Banana Three-Model Showdown: Which One Actually Fits Your Needs?

Nano Banana Three-Model Showdown: Which One Actually Fits Your Needs?

May 14, 2026 By OpsMatters In OpsMatters
Not every image generation task is the same - and neither is every Nano Banana model. If you've landed on Kimg AI looking for the right tool, this breakdown is for you. Banana AI brings together multiple Nano Banana versions under one roof, so the only question left is: which model should you reach for first?
Read Post
logicmonitor

Total Economic Impact study finds LogicMonitor Edwin AI delivered a 313% ROI and payback in 6 months or less

May 13, 2026 By Margo Poda In LogicMonitor
Forrester Consulting’s Total Economic Impact study found that a composite organization based on interviewed customers achieved 313% ROI and payback in less than 6 months with LogicMonitor Edwin AI. AI for IT operations has a credibility problem. The market is crowded with claims about speed, automation, and intelligence, while buyers are left doing the harder work of separating measurable impact from vendor language.
Read Post
honeycomb

Innovation Week Day 2: Observability for AI, and Observability With AI

May 13, 2026 By Shabih Syed In Honeycomb
AI is reshaping the SDLC in two directions at once. AI-generated code is shipping faster and with less human supervision than ever before, while agents and LLMs are running directly in production, where they behave very differently from traditional software: non-deterministic, with a wider blast radius than any single function or component, with no stack trace to catch when something goes wrong.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.