By Vadim SoloveyAug 11, 202614 min read
Cost Per Task, Not Cost Per Token: Unit Economics of Frontier LLM Workloads
Per-token prices mislead for agentic workloads. This analysis compares Claude and OpenAI on cost per solved task, factoring in retries, reliability, caching, and cleanup costs.
By Dima KramskoyAug 5, 202612 min read
Stop Wrestling with Complex Permissions: A Breath of Fresh Air for Your Code
Tired of tangled if/else permission checks scattered across your codebase? See how Amazon Verified Permissions centralizes authorization, using a real AWS PetStore example.
By Kurt HeinemannAug 4, 20265 min read
DoiT Becomes Founding Member of the Tokenomics Foundation
DoiT joins the Tokenomics Foundation as a founding member, bringing the runtime measurement experience behind Attribute to help define open standards for AI spend attribution and governance.
By Vadim SoloveyJul 28, 20268 min read
Our recruiters ship software now
DoiT's talent acquisition team, paired with one embedded Applied AI engineer, now ships production software: an AI job description builder, candidate screener, sourcing tool, and more.
By Chimbu ChinnaduraiJul 27, 20267 min read
Stop Over-Provisioning for Startup: GKE's New CPU Startup Boost
GKE's new CPU startup boost lets you give containers extra CPU during initialization, then scale back to baseline in place—no more over-provisioning for JVM warm-up.
By Joseph AllamJul 20, 20268 min read
DynamoDB: What Most Teams Get Wrong Before They Write a Line of Code
DynamoDB is one of AWS's most powerful databases — but most teams that struggle with it are making the same schema design mistakes. Here's what to know before you build.
By Ivan YurochkoJul 17, 20266 min read
Monitoring Short-Lived Kubernetes Jobs at Scale
Kubernetes jobs creating metric loss and cardinality explosions? Learn how vmagent streaming aggregation solves observability for ephemeral workloads at scale.
By Josh PalmerJul 13, 20267 min read
What is Tokenomics?
Tokenomics is the discipline of measuring and attributing AI token consumption to customers, features, and agents. Here's why traditional FinOps tagging breaks down for AI spend.
By Sayle MatthewsJul 13, 202616 min read
Upgrading Your Database to an Iceberg Data Lake (Part 2)
Part 2 of our Iceberg data lake series walks through the hands-on implementation: deploying Debezium Server on GKE to replicate Postgres into Iceberg tables on GCS.
Your cloud bill shouldn't be a mystery
Optimization, automation, expertise. In one platform.
By Josh PalmerJul 11, 20266 min read
AI Cost Attribution: Why Tags, SDKs, and Code Changes Don't Work
AI infrastructure breaks the tagging and SDK playbook that powered traditional cloud cost allocation. Kernel-level eBPF measurement offers a structural fix without code changes.
By Josh PalmerJul 10, 20267 min read
What is an eBPF sensor?
eBPF sensors run sandboxed programs inside the Linux kernel to observe every syscall, packet, and GPU interaction. Here's why they're becoming the foundation for modern AI cost attribution.