Cloud, DevOps & Kubernetes
This hub connects container security, Kubernetes scheduling, cloud capacity and observability into one operating model for systems that must stay available as load and teams grow.
How should requests, limits and autoscaling interact?
Which signals prove reliability instead of merely reporting activity?
DECISION FRAMEWORK
Define the boundary, then choose the technology.
Start with the workload
Define latency, throughput, availability and recovery requirements before selecting infrastructure.
Bound every shared resource
Connections, queues, CPU, memory and retries need explicit budgets and admission control.
Observe user outcomes
Join traces, metrics and logs around the operation the user actually attempted.
CURATED GUIDES
All articles →Continue with practical guides.
AI infrastructure · Vector search
Qdrant multitenancy: isolate retrieval, scoring and storage
A production design for tenant-safe Qdrant retrieval: enforce scope in trusted code, separate sparse scoring populations and promote heavy tenants deliberately.
Read the guideAI · Decision infrastructureOpenAI Decisions API: build a decision system, not a magic threshold
OpenAI's Decisions API turns text and images into probabilities, choices and scores. The hard part is the policy around the answer.
Read the guideAI infrastructure · Vector searchMigrate embeddings in Qdrant without breaking search
A production migration plan for new embedding models: named vectors or blue-green collections, dual writes, backfill, shadow evaluation, cutover and rollback.
Read the guideAI infrastructure · Anthropic APIAnthropic Models API `line`: stop parsing model IDs
Anthropic added a model-family field to the Models API. Here is how to use it for discovery without confusing family, capability and release policy.
Read the guideArchitecture · Distributed consistencyTransactional Outbox: fix dual writes without pretending they are atomic
A production guide to committing state and events together, then publishing through polling or CDC with ordering, idempotency and observable recovery.
Read the guideKubernetes · Scheduling reliabilityKubernetes topology spread: schedule for zone failures, not averages
A production guide to topology spread constraints, maxSkew, minDomains, affinity, taints, autoscaling and failure-aware Kubernetes scheduling.
Read the guideDevOps · Docker securityDocker runtime hardening: rootless, seccomp and least privilege
A production guide to rootless Docker, user namespaces, capabilities, seccomp, AppArmor, read-only filesystems and verifiable least privilege.
Read the guideAI infrastructure · API latencyOpenAI Ultrafast mode: engineer latency, not just token speed
A production guide to routing GPT-6 Astra Ultrafast requests with WebSockets, latency budgets, rate limits, residency checks, fallbacks and cost controls.
Read the guideDevOps · Docker BuildKitSecure Docker builds: fast caches without leaked secrets
A production guide to BuildKit layer, mount and registry caches; secret isolation; multi-stage runtime images; and verifiable SBOM and provenance.
Read the guideE-commerce engineering · ShopifyShopify bundles: design the cart transform contract
A production guide to fixed and customized Shopify bundles: composition, pricing, inventory, Cart Transform operations, failure policy and reconciliation.
Read the guideSaaS · Tenant isolationSaaS tenant context: propagate identity without data leaks
A production architecture for deriving trusted tenant identity once, carrying it across APIs and jobs, and enforcing isolation at every data boundary.
Read the guideKubernetes · Resource managementKubernetes requests and limits: capacity without throttling or OOM
A production method for sizing Kubernetes CPU and memory requests, choosing limits, protecting nodes and keeping HPA signals meaningful.
Read the guide