Is AI eating your budget? We wrote the playbook. Literally.ย
Ask a CFO what kept them awake in 2024, and you’d hear about cloud spend, headcount, or the next funding round. Ask that same CFO today, and the answer has changed: AI token costs. The examples are no longer hypothetical. Uber rolled Claude Code out to 5,000 engineers. Within four months, the company had burned […]
FinOps Platforms That Help Developers Find and Fix Idle Cloud Resources in Real Time
Actually, only Atmoz does this in real time. It detects orphaned or idle resources the moment they’re created. It delivers a one-click fix inside Slack, Teams, or the IDE. Other tools flag idle resources only after they’ve already burned weeks of cost. Idle Resources Are the Easiest Waste to Prevent – and the Hardest to […]
Cloud and AI Costs Happen in Real Time. Cost Control Should Too.
Every time an engineer provisions cloud infrastructure, triggers an AI agent, submits a prompt, or routes a workload through a model, they’re making a financial decision. The problem is they have zero visibility into how much those decisions are actually going to cost. The cost begins immediately. Yet most organizations do not understand the financial […]
Tech Tuesday Unboxed with Yael and Benjamin from Atmoz
Atmoz is a product for controlling cloud and ai spend not through observability, but through timing. They believe that by the time observability allows you to see the issue, it is already an issue. Their platform allows you to get a heads-up as you intend to provision the resource, and let’s you know what the […]
๐ช๐ต๐ โ๐๐น๐น ๐๐ฟ๐ฒ๐ฒ๐ปโ ๐จ๐๐๐ฎ๐น๐น๐ ๐ ๐ฒ๐ฎ๐ป๐ ๐ฌ๐ผ๐โ๐ฟ๐ฒ ๐๐น๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐ง๐ผ๐ผ ๐๐ฎ๐๐ฒ
Monday morning. The dashboards are green. No alerts. No incidents. Life is good. Three weeks later, finance forwards the invoice – Y๐ผ๐ ๐ฏ๐๐ฟ๐ป๐ฒ๐ฑ $๐ฎ๐ฎ,๐ฌ๐ฌ๐ฌ ๐ผ๐๐ฒ๐ฟ ๐๐ต๐ฎ๐ ๐ต๐ฎ๐ฝ๐ฝ๐ ๐๐ฒ๐ฒ๐ธ๐ฒ๐ป๐ฑ. ButโฆbutโฆNothing failed! There was no outage. No anomaly. Just GPU instances left running after a Friday experiment – quietly spending money while every dashboard said things were […]
Atmoz is delivering an IAMCP Webinar: Beyond FinOps: Anticipate and Prevent AI and Cloud Waste
Most FinOps tools tell you what went wrong. – After the bill arrives. – After the money is spent. – After the architecture is already hard to change. That model is breaking. As cloud and AI usage accelerate, the real problem isnโt visibility. Itโs timing. Engineering decisions happen in seconds. Cost feedback arrives hours or […]
Youโre not missing visibility. Youโre missing timing.
You see the $87K BigQuery bill on the dashboard. You tag the owner. You send the Slack alert. You create the ticket. You wait. Three follow-ups later, the RDS instance is still running. The DynamoDB table is still overprovisioned. The dev says theyโll look at it next sprint. Youโre still bleeding money. This isnโt a […]
When You Finally See the Cloud Waste, Itโs Already Too Late
You get the alert. You check the dashboard. The line is spiking.ย And you’re already paying for it. ย By the time the billing dashboard shows the spike, the money is already gone.ย ย By the time you see a spike in the billing dashboard,ย itโsย already too late. The bill is locked in. The conversation shifts from […]
The Silent Waste Problem in Engineering: Why Organizations Still Discover It Too Late
Engineering teams donโt see waste when they create it. They see it weeks later, when itโs already irreversible. That delay is the real problem. Most engineering waste doesnโt come from bad decisions. It comes from normal decisions made without visibility. A test environment left running after validation. An oversized configuration deployed โjust to be safe.โ […]
IHR Insights Spotlights Atmoz: A New Approach to Real-Time Cloud & AI Cost Prevention
Atmoz has been featured in a recent vendor spotlight by IHR Insights, highlighting a shift in how enterprises manage cloud and AI costs – from reactive reporting to real-time prevention. The report identifies a growing gap in traditional FinOps approaches: while engineering decisions that drive cost happen in seconds, most tools rely on billing data […]