GraphQL Federation at Enterprise Scale: 2026 Patterns
Patterns we use to make GraphQL federation work at 30+ subgraph scale without becoming a coordination nightmare.
Deep-dive guides, real case studies, and practical frameworks on AI workflow automation, cloud cost optimization, FinOps, and enterprise data engineering.
Patterns we use to make GraphQL federation work at 30+ subgraph scale without becoming a coordination nightmare.
Hardware sizing, vLLM configuration, throughput benchmarks, and total cost of ownership against API providers.
A realistic 90-day plan to ship a useful Internal Developer Platform — starting with the boring services that actually move the needle.
A pragmatic DR strategy that achieves RTO < 30 minutes without the cost of full active-active. With Terraform examples.
Five concrete predictions for AWS re:Invent 2026, based on what we are seeing in active enterprise migrations and pilots.
A 2026 cost-and-quality tradeoff analysis: when self-hosting Llama or Mistral makes sense, and when API providers are still the answer.
How to build per-customer cost visibility for multi-tenant SaaS — including the tagging policy and the SQL that ties it to billing.
Prompts are code. They deserve tests, versioning, and rollback. The exact framework we deploy at every AI engagement.
Six Snowflake audits in 2026, average savings of 47%. The exact queries, settings, and review patterns that produce those numbers.
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