6h ago · 16 min read · The AI space moves fast. Faster than anything I have seen in sixteen years of working in tech. New tools, new frameworks, new model releases — every week there is something. It is genuinely hard to ke
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Mar 24 · 8 min read · Most Kubernetes teams track pod CPU and memory. Almost none track what the cluster actually costs to run. We decided to change that. For the past 6 months, we have been running KubeLedger on our own O
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Mar 24 · 6 min read · There's a number sitting in your AWS or GCP bill right now that nobody owns. It isn't your production workload. It isn't data transfer. It's the accumulated fog of dev, staging, QA, and "temporary" en
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Mar 15 · 4 min read · Enterprise AI FinOps adoption: 31% to 98% in two years — fastest governance category ever. The reward? Organizations now self-fund AI expansion through their own optimization savings. Jevons doesn't care about discipline. Cheaper inference funds more...
Join discussionMar 11 · 4 min read · Nobody sets out to waste money on AWS. It creeps in. A dev environment left running over a weekend. An RDS instance sized for peak load that hasn't seen peak load in eight months. An NAT Gateway quiet
Join discussionMar 6 · 7 min read · The promise of Artificial Intelligence in the enterprise is immense, but so are its complexities. As we look towards 2025, organizations are grappling with an escalating challenge: how to scale AI initiatives without spiraling costs, all while mainta...
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Mar 4 · 12 min read · The AI Inference Tax: Why Enterprise Cloud Bills Are Exploding — and How FinOps 2.0 Fights Back The moment your AI proof-of-concept graduates to production, something unexpected happens to your cloud bill. What cost $40,000 in a sandbox now costs $40...
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