Operations | Monitoring | ITSM | DevOps | Cloud

AI usage tracking: Monitor spend by team, feature & model

AI usage tracking means measuring who and what consumes AI across your company, by team, feature, and model, then converting the usage into spend and cost per unit of work. Provider consoles stop at totals per API key. Tracking puts names on those totals: which team, which product, which model, and whether any of it was worth the money. In May 2026, CNBC reported that “almost every Fortune 500 is tracking overall AI usage,” quoting ModelOp CTO Jim Olsen. The same reporting carried his warning.

Repo rightsizing: audit every model call in a repo you already shipped

Repo rightsizing is a single-pass audit of every real model call in a codebase you already shipped: SDK invocations, sub-agent dispatch sites, and agent frontmatter pins. Each call site is scored on the job it actually does, and the result commits as one blueprint file you can diff next quarter. It replaces one-skill-at-a-time reviews, which miss files where a single model key covers two different jobs.

Shipped: Find the S3 buckets paying early delete fees

S3 lifecycle rules move data to Standard-IA or Glacier to cut storage cost. CloudZero now flags the buckets where that move backfires: an early delete fee is charged when an object leaves its tier before the tier’s minimum storage duration. The cause isn’t always a misconfigured lifecycle rule. A manual delete, an overwrite, or an object written straight into the tier by a replication or backup job produce the identical charge.

Shipped: Smarter period comparisons in Explorer

Compare Periods launched with two display modes: Aligned and Overlay. The top request from customers was bringing back a true side-by-side view, the kind where two independent charts sit next to each other so you can compare the overall shape of each period. Split brings that back. But the team also added Delta, a new mode that shows the dollar difference between periods.

AI gross margin: how AI spend hits SaaS profitability

AI gross margin is what remains of SaaS profitability after inference, model routing, and AI infrastructure land in cost of revenue. The numbers have moved. AI products averaged 45% gross margin in 2025 and are projected near 53% in 2026, against the 70% to 85% that SaaS built its valuations on. The compression is real, measurable, and manageable for companies that can see their cost to serve.

Codex vs. Claude Code in 2026: cost, capability, and which one your team should pick

Codex is OpenAI's terminal-based autonomous coding agent, bundled into ChatGPT plans and billed through token-based credits. Claude Code is Anthropic's terminal-based coding agent, sold through Claude subscriptions or the API. Codex is cheaper to enter; Claude Code is stronger on complex work. Both run $100 to $250 per developer monthly at active use.

AI coding tools cost compared: Copilot, Cursor, Claude Code & Codex

AI coding tools cost between $0, on GitHub Copilot's free tier, and $200 per developer per month at list price. GitHub Copilot is cheapest to start at $10. Codex is cheapest per task for ChatGPT subscribers. Claude Code has the most predictable ceiling. Cursor is the most variable. Once agents run all day, vendor-reported usage lands at $100 to $250 per developer monthly, no matter which one you pick.

Database monitoring: what to track, which tools to use, and what it all costs

Database monitoring is the continuous tracking of a database's health, performance, and resource consumption, covering metrics like query latency, throughput, connections, and replication lag. In the AI era, it has expanded to include a fifth dimension: spend. Modern teams monitor not just whether the database is fast, but whether the workload it serves is worth what it costs to run. In May 2025, an engineer named Bohan Zhang stood up at PGConf.dev in Montreal and broke every scaling rule in the book.

Shipped: Allocate AI spend by the tags on your IAM roles

The tags you put on the IAM users and roles that call your models now come through as dimensions you can group and filter on. Tag a role with costCenter, department, email, or name, group by that key, and the model spend those callers drove shows up underneath. That gives you the human-readable half of caller identity. A caller ARN like assumed-role/inference-gateway/session-8842 names a role.

Shipped: API keys that keep their own permissions current

The most common reason to create an API key in CloudZero is to send data, such as AI telemetry or billing exports. Until now, that meant picking individual scopes from a list and hoping you chose the right ones. That works on day one. The problem is day ninety. Permissions on a key have always been a snapshot of the day you created it. A new AI telemetry endpoint ships in October, and a key created in August has no idea it exists.