SigNoz MCP Workshop - Agentic Workflows for Observability
A hands-on workshop on SigNoz MCP and the agentic workflows you can run in observability. Vishal Sharma, founding engineer at SigNoz, walks through.
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AI Agent And Digital Certificate Inventory: How to Track Your Invisible IT
An AI agent and digital certificate inventory is a record of every AI agent and digital certificate an organization runs, with what each one does, who owns it, what it connects to and when it expires or needs a review. IT and IT Asset Management (ITAM) teams build one because both kinds of asset keep critical services running with no hardware to scan, no purchase order to trace and, very often, no owner on record.
Your AI Economics Pulse for October 2026
Across a same-store panel of 422 CloudZero customer organizations, AI reached 3.02% of the median company's cloud bill in September 2026, up 37 basis points from 2.66% in August, the largest monthly gain since we began tracking. The 75th percentile rose to 12.55%. The share of organizations spending at least $1,000 a month on AI barely moved, to 68.0%. Companies already spending drove the growth. Last month we called the median the least informative number in this report. September proved us wrong.
Where Is All Your AI Spend Going? | Harness AI Cost Management Demo
Where is all your AI spend going? From AI coding tools and LLM tokens to autonomous AI agents, understanding what you're spending and what you're getting in return is becoming increasingly important. In this demo, see how **Harness AI Cost Management** gives engineering teams visibility into AI spending across developers, models, and applications, helping organizations track costs, manage budgets, and measure AI ROI.
Harness Cost Management Agents Slash Cloud & AI Spending
Where is all your cloud and AI spending going? Harness Cost Management Agent helps companies track, understand, and reduce spending across cloud infrastructure, AI models, tokens, coding assistants, and AI agents. See who's driving costs, identify wasted spend, and get AI-powered recommendations to optimize your budget or automatically take action. It's not just about seeing your bill. It's about understanding what's driving it and how to reduce it.
AI at scale: are your foundations ready?
What does it take to move from AI experimentation to real-world adoption, and where does sovereign AI fit into the picture? In Episode 2 of Season 2 of Perspectives from the Edge, Andrew Dutton,Enterprise Sales & Marketing Director at SCC, joins Pulsant’s Wendy Shearer to explore the challenges businesses are facing as AI moves from experimentation into production and scale.
From Merged PR to Governed Pod: Automating AI Agent Deployment on Kubernetes
In short, automating the AI agent lifecycle is this year’s pitch: Google Cloud’s walkthrough of 30th July 2026 turns the whole thing into a conversation with a coding agent.
The Root Cause Agent: Bring an agentic approach to observability
For years, engineering teams have faced the same challenge during incidents: the systems generating alerts are becoming more complex, but the investigation that follows is still largely manual. Monitors are good at telling us that something is wrong. The harder question is why. When an alert fires, an engineer still has to work out where to look, which signals matter, what hypothesis to test, and how the evidence across logs and metrics fits together.
Introducing DojoAI Credits: Flexible, predictable AI pricing built for scale
AI agents are quickly becoming the first responders on the most sophisticated SecOps and DevOps teams, pulling threads on a threat or making sense of a flood of telemetry before a human even logs in. But most AI pricing hasn’t caught up. Token-based models leave you burning through usage with no visibility into what’s driving the cost, while per-seat caps ration access like AI is still a nice-to-have instead of core to how your team operates.