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By Kaitlin Woo
The CloudZero VS Code Extension 2.0 adds a sidebar that brings CostFormation namespace management directly into your editor, so you never have to break flow for a browser tab.
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By Kaitlin Woo
In Explorer, you build a filter set and group-by to answer a cost question, and often that’s exactly the configuration you’d want to save for later. But saving it as a View meant navigating away from Explorer, opening the Views page, and rebuilding the same configuration from scratch: filter by filter, dimension by dimension. That friction was enough to discourage saving exploratory analysis as a View at all You can now save any Explorer analysis as a View in place.
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By Lyne Carolyne
AI pricing covers the cost structures and billing models providers use to charge for AI products: per-token APIs (GPT-4o at $2.50/1M input tokens), per-seat subscriptions (Copilot at $30/user/month), per-conversation billing (Agentforce at $2/conversation), and consumption-based GPU compute (H100 instances at $55.04/hour). There is no standard. The total AI cost is almost always higher than the sticker price.
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By Scott Castle
Cost monitoring, exploration, investigation, and reporting used to live in separate places, so following a single cost question meant hopping between tools.
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By Scott Castle
Your AI calls already emit OpenTelemetry: your LLM gateway exports it, and it’s the open standard your own services can speak. But you don’t have anywhere to turn those spans into spend you can allocate to an outcome. Now you can. CloudZero exposes an OpenTelemetry endpoint that doesn’t care what’s on the other end.
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By Scott Castle
You can already split AI spend by team and by model. But that’s not what your CEO asks in the QBR. The question is what you got for it: what did it cost to ship that feature, to launch that campaign, to serve that customer. And is the AI bet behind it paying off? Now you can allocate AI spend to the outcomes you own: customer, product, feature, the strategic bet on the P&L. Not just the team that spent it.
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By Lyne Carolyne
Claude Mythos is now available to the public through Claude Fable 5, released June 9, 2026. Claude Fable 5 pricing is $10 per million input tokens and $50 per million output tokens, exactly 2x Claude Opus 4.8 ($5/$25). Claude Mythos 5 (the restricted Project Glasswing version) has identical pricing. Prompt caching cuts input spend by 90%. Batch API pricing is $5/$25 (50% off). In April 2026, Anthropic announced a model it said was too dangerous to release.
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By Scott Castle
AI spend has no ceiling. An engineer can burn $5,000 in an hour, and a team that spins up an agent on Friday can loop it on a bad prompt all weekend. You find out when the bill lands: the money is already gone, the damage pieced back together from logs. Cloud spend had a natural limit. Tokens don’t. Now you see it as it happens. Connect a source and the calls stream in within seconds. Within minutes they’re broken out by model, provider, agent, and user.
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By Keith MacKenzie
This edition of the Pulse is shifting lanes. We’re calling it the AI Economics Pulse now, because the question on every finance leader’s mind is whether AI spend and the returns on it can be made to pair at all. That question came to a head over the last few weeks. The bills came due, and they came due in public. Uber burned through its entire 2026 AI budget in four months and capped employee spending on Claude Code and Cursor at $1,500 a month.
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By Scott Castle
Your engineers run Claude Code. Your designers are in Cowork. Half the company has Claude open in a browser tab, and a few are on Cursor. It’s on their laptops, each person authenticated a different way, and none of it touches your gateway. The only record you get is one lump-sum bill at the end of the month. Now you can capture it where it happens – on the laptop.
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With CloudZero you get insights about your applications and systems, helping you manage operations at a scale that you’ve never had before. Our platform provides you with insights about every piece of your system, including the real cost of resources, resource utilization, reserved capacity and cost center efficiency.
With the accurate and trusted data provided by CloudZero you can minimize or eliminate under utilized resources, visualize costs for easy comprehension and oversee the entire software lifecycle. Nothing is out of view when using CloudZero’s Observability platform. From regional views to individual resources, you have insights at every level to help you keep your systems running smoothly.
How do we do it?
- Collect and Normalize: CloudZero’s platform starts by collecting the data from your CloudWatch, CloudTrail, VPC Flowlogs, Lambda Data Events and Billing Data from every AWS account you connect. This part of the platform is isolated in its own account for security and has read-only access to the accounts you connect.
- Populate the Stream: All of the data collected is normalized and the events, resources, statistics and billing data are organized into data streams which allow our platform to perform real-time analytics on all the data collected.
- Find Meaning: Our algorithms take in the normalized data and perform complex analytics sifting through all the data to filter noise and enhance signal. We use Machine Learning on a large scale to learn what is valuable to surface.
- Visualize Everything: The application provides opinionated visualizations of the insights determined by the platform’s AI. From regional system maps to single resources to cost of service broken down by team, CloudZero’s platform provides true observability to everyone in your organization.
Observability for Everyone. Add cost as a first-class metric and understand the financial effect of operational decisions.