Operations | Monitoring | ITSM | DevOps | Cloud

Agent Observability Deep Dive Demo | Grafana Cloud

Jul 31, 2026 By Grafana In Grafana
Grafana AI Observability is our new database and platform for observing AI Agents. Over the past year at Grafana Labs, we built Agents and we needed a way to understand how they are performing, what are the costs associated with them, what's the error rate or time to the first token as well as how they are behaving. Grafana Staff Engineer, Ivana Hučková provides a deep dive demo on how Grafana AI Observability connects our experience building Agents with our experience building observability systems.
View Video
gitkraken

Kepler Is in Public Preview: One Task, Every Repo, Every Agent

Jul 31, 2026 By Jade Nangah In GitKraken
A faster car doesn’t get you home faster if the freeway is still jammed. That is the problem most teams run into once they add a second, third, or fourth AI coding agent to the mix. More agents generate more code. They do not automatically generate more finished work, because someone still has to track which agent is waiting on input, which one just opened a pull request, and which one has been quietly stuck for twenty minutes. Kepler is GitKraken’s answer to that traffic jam.
Read Post
cloudzero

LLM cost optimization: 7 strategies to cut inference spend

Jul 31, 2026 By Lyne Carolyne In CloudZero
LLM cost optimization is the practice of cutting what you spend on large language models, mostly inference, without losing the quality that makes the AI worth running. The biggest levers are routing requests to cheaper models, caching repeated tokens, batching anything that can wait, trimming prompts, right-sizing models, cutting calls you do not need, and putting one gateway and cost view in front of all of it.
Read Post
cloudzero

What is FP&A? Financial planning and analysis in the AI spend era

Jul 31, 2026 By Lyne Carolyne In CloudZero
FP&A stands for financial planning and analysis. It is the corporate finance function responsible for budgeting, forecasting, variance analysis, and decision support. If you're asking what is FP&A in practice: FP&A teams build the annual operating plan, project revenue and expenses, explain gaps between plan and actuals, and give leadership the numbers behind strategic decisions. Accounting reports what happened. FP&A models what happens next.
Read Post
Why Every Modern Security Operation Center Needs Automation and AI

Why Every Modern Security Operation Center Needs Automation and AI

Jul 31, 2026 By OpsMatters In OpsMatters
Security teams no longer face a simple monitoring problem. In most cases, they face - While cloud workloads change by the minute, identities move across applications. In general, endpoints appear outside the traditional perimeter. Meanwhile, the modern security operations center must interpret all that activity. It must also not let a genuine threat disappear inside routine noise. Although traditional processes still matter, manual triage cannot carry the entire workload anymore. In fact, analysts lose valuable investigation time if they -
Read Post
gitkraken

GitKraken's Claude Code Plugin Is Live: No CLI Required

Jul 30, 2026 By GitKraken In GitKraken
If you haven’t heard about our MCP server, you should really check it out. It’s probably the best way to give your agents access to the power of GitKraken’s integrations and features. Our MCP tools also help your agents understand your codebase in a way that we think lowers your token usage and improves their output.
Read Post
cloudzero

Agentic AI cost: why agents burn tokens and how to control it

Jul 30, 2026 By Keith MacKenzie In CloudZero
Agentic AI cost is what you pay to run AI agents, and it is mostly tokens. An agent does not answer once. It loops, calls tools, reads the results, and reasons again, re-sending a growing context every step. Anthropic found agents use about 4x the tokens of a chat, and multi-agent systems about 15x. You control it by capping runs, right-sizing the architecture, routing, caching, and measuring cost per task, then tying every agent to the AI ROI it produces.
Read Post
cloudzero

AI cost monitoring: what it is, how it works, and why real-time visibility matters

Jul 30, 2026 By Lyne Carolyne In CloudZero
AI cost monitoring is the continuous tracking of AI and LLM spend in real time, broken down by the models, features, teams, and customers generating it. It is not the same as reading the monthly bill - done well, it shows spend as it happens, flags anomalies before they become invoices, and connects every dollar to an outcome so finance can protect AI ROI instead of explaining it after the fact.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.