GPU Cost Attribution on Kubernetes: Bill on Memory, Not Compute
GPU cost attribution on Kubernetes breaks once pods share a GPU: DCGM can report 300% use. Why platform teams should split the bill on memory, not compute.
AWS Prime Day 2026: The Infrastructure Numbers Behind Four Days of Peak Commerce
AWS's Prime Day 2026 numbers: 59 trillion DynamoDB requests and 2.3 trillion Lambda invocations a day. What that scale means for platform engineers.
AWS Well-Architected Agent: AI-Powered Cloud Recommendations from Resource to Architecture
AWS Well-Architected Agent, in preview, scans your environment for resource, application, and architecture recommendations with ready-to-apply IaC.
Kubernetes v1.37: HPA Scale-to-Zero Is Now Beta and On by Default
The HorizontalPodAutoscaler can now scale workloads to zero replicas in Kubernetes v1.37 — what changed from alpha, how to configure it, and when not to use it.
How to Track Generative AI Costs by Department Using Amazon Bedrock Inference Profiles
Amazon Bedrock application inference profiles let engineering, HR, and finance teams share a single foundation model while seeing per-department spend in Cost Explorer — at zero additional cost. Here's how the architecture works.
Platform Engineering ROI: The Real Cost of Building Your Own Internal Platform
A DIY internal developer platform runs $7.5M/year at enterprise scale. The ROI is real but requires 50+ engineers to capture. Here's how to read the math before committing.
OpenCost 1.121.0: Now You Can See What Your Self-Hosted AI Models Actually Cost Per Token
OpenCost's new inference cost tracking shows the real per-token cost of running models on Kubernetes — including the KV cache effect and why low utilization makes self-hosting more expensive than it looks.
5 AWS Updates That Matter This Week: Bedrock Price Cuts, Prometheus, IAM
AWS cut Bedrock GPT-5.6 pricing up to 80%, shipped managed Prometheus collectors for CloudWatch, and added multi-region IAM Identity Center — here's what to actually act on.
Coinbase Runs 1,200 AI Agents — and Cut Its AI Bill in Half
Coinbase deployed 1,200 full-time AI agents, shrank engineering teams from 10 to 2, and halved its AI spend while token usage climbed. The strategy: route every task to the cheapest model that can handle it.
Platform Engineering 2.0: Five Pillars for AI-Native Workloads
Platform Engineering 1.0 solved developer delivery. Platform Engineering 2.0 must solve GPU allocation, model serving, agentic governance, and FinOps for AI consumption. Here's the framework.
Lessons from Running 1 Million Lambda Functions: What Scale-to-Zero Actually Costs
Building true-serverless multi-tenant SaaS at one million Lambda functions exposes problems documentation doesn't mention — synchronized scheduling, observability cost explosions, and the SQS idle trap.
Datadog's CDN Log Fix: Archive Search Lets You Query 751 GB of Logs Without Paying to Index Them
High-volume CDN access logs are too expensive to keep in Datadog's indexing tier but too valuable to throw away. Archive Search solves the gap — query petabytes in cold storage with the same syntax as Log Explorer.
How to Cut AI Costs by 80%: What Port.io's 12,000-Query Study Found
Port.io ran 12,000 queries across three models and found that structured context management — a 'Context Lake' approach — cut costs by 80% compared to unstructured MCP-only setups. The tradeoffs are not what most teams expect.
AWS WAF Now Lets Publishers Charge AI Bots for Content Access
AI crawlers now exceed 50% of web traffic for many publishers — with no revenue return. AWS WAF's new AI traffic monetization capability lets content owners set per-request prices and collect payment at the edge using the x402 protocol.
Kubernetes Cloud Waste: The 65% Problem Nobody Wants to Fix
Kubernetes clusters run at 20-35% utilization. The tools to fix it deliver 50-70% savings. The blocker isn't tool maturity — it's operational trust, and the market is now building around that insight.
FinOps Is Optimizing the Wrong Budget
Finout and Google Cloud FinOps: cloud bill optimization is solved. The new challenge is AI token economics, where traditional FinOps playbooks don't apply.