Operations | Monitoring | ITSM | DevOps | Cloud

In this video, Kaitlin Woo, Product Manager for AI Signals at CloudZero, introduces templated reports that give a quick view into AI spend in one click. The reports tie spend back to activity classification, such as feature development, bugs, and automation for developers, and let you filter to an individual person for a full breakdown of their model mix and top activities without configuring anything. Those are details a bill never shows. CloudZero gives leaders who manage an AI budget this view across all providers, so they can tell whether a heavy user’s share of spend makes sense and how to support AI adoption.

Every week there's a new agent sandbox, and they all promise the same thing: a safe place for your agent to run code. In this video we split them into two types, dumb sandboxes and smart sandboxes, so you can sort any provider by what it can actually do instead of how it's marketed. You'll see where today's providers sit, why dumb sandboxes still have a real place, and how to pick the kind your agent's job needs.

If you missed the news, Meta acquired Conductor. If you liked launching multiple coding agents in parallel there, we've got something for you. Kepler ADE by GitKraken lets you run multiple agents in parallel, start sessions straight from a GitHub issue, and keep an eye on them from your phone.

See how to add the Jira agent to a Slack channel and use @Jira to create and update Jira work items from a conversation. The agent uses the thread’s context to fill in the details, while status changes and comments sync back to Slack. Spend less time copying context into Jira or switching tabs, and keep work moving in the thread.

When an AI agent fails in production, the trace shows what happened. Seer Agent helps you figure out why, and fix it.

Think you need to rewrite all your runbooks before deploying AI agents? Think again. Start with what you already have, prove value on repetitive issues, and let agents earn autonomy over time.

Your AI budget was locked in January. Then the CEO said everyone should be building. Now AI spend is spread across 20 vendors, company credit cards, month-to-month invoices, and enterprise plans, and the board wants to know what it all returned. Emily Allen, Director of Finance & Accounting at CloudZero, shares how she's rewriting the rulebook for AI spend governance, budgeting, and forecasting. She uses CloudZero to see every dollar of AI spend by team, project, and feature.

GitHub's AI coding boom is exposing a major problem in software security. As AI coding agents generate more code and developers push commits faster than ever, can traditional DevSecOps and shift-left security practices keep up? In this episode of ShipTalk, cybersecurity leader Jake Bernardes breaks down GitHub Universe's AI coding trends and argues that shift-left security is dead in the age of AI-generated code.

AI coding agents write code fast, but without real-world context, they create buggy software that turns your users into a QA team. Speedscale’s production context layer captures real traffic and dependencies, giving your AI assistant the power to safely rehearse and test code changes before deploying. Learn more: speedscale.com.

LogicMonitor Elevate 2026 keynote: what it takes to trust AI to act in IT operations. Built for IT ops leaders, SREs, and MSPs. The Chicago opening keynote covers moving beyond the alert loop, where people have acted as the integration layer between tools. IT teams are automating incident response by giving AI context, clear guardrails, and governance, with people accountable and in control. @globalfoundries CIO Vishal Mehra shares how his team's doing it.

Google just reported $51.4 billion in quarterly capital spending. Anthropic has filed for an IPO. And GitHub's AI coding explosion is raising serious questions about software security. Is the AI boom creating real business value, or are we heading toward an AI bubble correction? In this episode of ShipTalk, Adam Arellano and Martin Reynolds are joined by cybersecurity expert Jake Bernardes, CSO at Gambit, to break down three major developments reshaping artificial intelligence, software development, and cybersecurity.

What is the Harness Software Delivery Agent? Harness Software Delivery Agent is an AI-powered software delivery solution that helps teams automate CI/CD pipelines, infrastructure workflows, deployments, and troubleshooting, moving code from commit to production while enforcing existing policies and approvals. In this video, we explain how Harness Software Delivery Agent works and how it helps DevOps teams, platform engineers, and developers automate software delivery.

Hear directly from industry leaders and attendees at Envision 2026 as they share their thoughts on the future of AI, asset management, and working with InvGate!

Is your IT operations model keeping up with growing complexity? From rising incident volumes to costly outsourcing and unnecessary escalations, here are 4 signs it may be time to rethink how your IT operations run. Discover why enterprises are turning to AI agents to reduce manual work and scale operations.

Bring CI-grade validation into your coding agent's inner loop. Here’s how Chunk sidecars and Smarter Testing enable targeted testing and faster feedback before code is pushed.

Your engineers are writing more code than ever with AI, but your team isn't shipping more product. The code waits for review, agents run on personal laptops and accounts, and nobody can say what any of it costs. In this overview, we show what Upsun Dispatch is: where your team and its agents ship together, with every decision recorded and every dollar tracked. We get into.

In Part 1 of this conversation, three early-career professionals at Digitate — Ryan Bascos, Renad Morrar, and Ritu Bhalodia — join The Intelligent Enterprise to share what it actually feels like to start a career in the age of AI: the tools they rely on, the concerns they carry, and what their generation sees that others might be missing.

See how Grafana Assistant uses AI to investigate incidents, identify root causes, and help remediate application problems. In this demo, Engineering Manager Ksenia Yadav and Staff Product Manager Maurice Rochau show how AI-powered observability supports the move toward autonomous operations, from detecting problems to generating code fixes and validating their impact in production. Explore how Grafana Assistant uses context from your telemetry, infrastructure, incidents, business data, and code to.

The nature of cyber security is changing. In this video, I do a brief recap of a few of the compromises of the past couple weeks as well as highlight how our role as engineers is changing. Attackers have an easier time than ever in watching repos for changes to exploit 0-day vulnerabilities. But, it isn't all doom and gloom as long as we put in the effort. AI is creating a bit of an arms race between attackers and maintainers of sites and services, but there are actually more powerful tools available to defenders through exclusive programs like Daybreak, Glasswing, etc.

AI Budgeting for Finance: Last Year vs. Now In this video, Emily Allen, Director, Finance & Accounting at CloudZero, explains how AI planning changed in a single year. Instead of starting from a vendor commit or the current run rate, she’s treating AI spend as its own category and analyzing it bottom-up. That opens a new question for finance: “What does good look like?” With a year of data, finance teams can start benchmarking AI spend over time and check whether what they approved actually paid off.

In this video, Brady Lenahan, VP of Sales at CloudZero, shares what he’s hearing from customers when the cap hits before the month ends: employees who’ve built their workflows around AI stop working productively and wait for next month. Some go golfing, some clean the garage. Either way, finance loses both the productivity and the visibility. There’s a better option than capping AI spend you can’t see.

In this video, Emily Allen, Director, Finance & Accounting at CloudZero, explains why AI capitalization is still unclear for most finance teams, and how CloudZero gives them a repeatable approach. As AI writes more of the code, finance needs to know which AI spend went to qualifying development work and which should be expensed. CloudZero records which project each AI coding session served, what kind of work it was, and what it cost, so finance has the evidence behind every decision.

Submitting thousands of trivial edits like fixing commas rarely leads to a career. Maintainers are closing these low-effort issues, signaling a shift in how to effectively break into open source development. Getting involve beats PRs every time.