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Upgrading Your Database to an Iceberg Data Lake (Part 2)
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.

AI Cost Attribution: Why Tags, SDKs, and Code Changes Don't Work
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.

What is an eBPF sensor?
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.

We Are Renewing Zendesk for One Last Time
By Vadim SoloveyJul 10, 20265 min read

We Are Renewing Zendesk for One Last Time

Tokens Are Easy to Count. Context Is Harder
By Amit KinhaJul 9, 20264 min read

Tokens Are Easy to Count. Context Is Harder

Tokens tell you what AI costs, but not why. A former FinOps practitioner explains why attribution — not tagging — is what turns cost numbers into real business decisions.

How to Measure AI ROI When You Can't See Where the Tokens Went
By Josh PalmerJul 9, 20268 min read

How to Measure AI ROI When You Can't See Where the Tokens Went

Only 15% of enterprises can calculate AI ROI without friction. The real bottleneck isn't proving value, it's attributing token and compute costs to the outcomes they produce.

Don't Lose Your GPUs During Maintenance: Use Capacity Reservations
By Avi KeinanJul 9, 20265 min read

Don't Lose Your GPUs During Maintenance: Use Capacity Reservations

Stopping a GPU instance for maintenance can mean losing it to the shared capacity pool. Here's how On-Demand Capacity Reservations keep your EC2 GPUs available when you need them back.

FinOps for AI: Why Tagging Breaks Down (and What Comes Next)
By Josh PalmerJul 8, 20269 min read

FinOps for AI: Why Tagging Breaks Down (and What Comes Next)

FinOps for AI extends cloud cost discipline to AI workloads, but tags can't reach shared GPUs, LLM gateways, or agentic spend.

DoiT Launches Attribute™: AI Tokenomics Without Tags, SDKs, or Code Changes
By Kurt HeinemannJul 7, 20263 min read

DoiT Launches Attribute™: AI Tokenomics Without Tags, SDKs, or Code Changes

DoiT launches Attribute™, a kernel-level eBPF sensor that attributes AI token, GPU, and model API spend to specific customers, features, and agents in 15 minutes—no SDKs or tagging required.

Why We’re Launching Attribute™
By Vadim SoloveyJul 7, 20266 min read

Why We’re Launching Attribute™

AI infrastructure breaks the tagging and instrumentation models that cloud FinOps relied on. Attribute™ takes a kernel-level, eBPF-based approach to map every token and GPU cycle to the customer, team, or feature responsible.

Underutilised Reservations Are Silent Cost Leaks
By Satyam GuptaJul 6, 20265 min read

Underutilised Reservations Are Silent Cost Leaks

Idle AWS Reservations silently drain budgets across EC2, RDS, ElastiCache, and more. See how a no-code CloudFlow template surfaces underused commitments before waste compounds.