Engineering Blog

Misconfigured Google API keys are being abused to generate AI content on someone else's dime. Here's how the attack works — and a free open source tool to find exposed keys.

Most SaaS pricing models are built on cost estimates, not cost reality. Learn how runtime cost attribution exposes margin leaks before they kill your unit economics.

By the time AI costs show up in your invoice, you're already behind. Here's why getting visibility before you scale matters more than fixing it later.

The top Kubernetes cost observability tools compared. See which FinOps platforms handle shared resources, multi-tenant attribution, and tagless allocation and how to choose.

Google Cloud's API billing model is more nuanced than it appears. Discover how the 'Client' project determines who pays, and how to attribute costs correctly across business units.

LLM gateways collapse every upstream caller into a single workload identity at the provider boundary, breaking cost attribution. Here’s why tagging fails and how runtime (eBPF) attribution reconstructs the chain.

AI coding tools ship code fast, but leave teams without a record of why. Here's how Kiro's spec-driven workflow and ADRs aim to close that gap.

GKE's new Active Buffer feature eliminates node provisioning delays by maintaining warm capacity, reducing scale-out latency from minutes to seconds.

Five proven strategies that compound to 60-80% savings on Amazon Bedrock costs, including batch inference, prompt caching, and model routing.

AI coding tools deliver real productivity gains, but don't necessarily improve software quality or organizational learning—a gap worth understanding.

Most FinOps tools can't explain Kubernetes spend by customer or tenant. See how runtime observability replaces tagging for real-time cloud cost attribution.

Kubernetes DRA eliminates manual GPU node hunting by introducing intelligent, request-based allocation for complex AI workloads with mixed hardware requirements.