Timely analysis, tutorials, and opinion from ScaleCloud architects on the cloud and AI landscape.
10 resources
Use structure-aware chunking (respecting headings, tables, and document sections) rather than fixed-length character chunking, which materially improves retrieval quality on struct
Design your compartment hierarchy around organizational and workload boundaries before writing a single IAM policy — retrofitting compartment structure after policies exist means r
Enforce the "restricted" Pod Security Standard at the namespace level before adding any other control — this alone closes the majority of container escape…
Before choosing tooling, document the 2-3 most common workload patterns your teams actually deploy, and design a "golden path" — a pre-approved, self-service template…
Implement a consistent tagging standard enforced by policy (not just documentation) before attempting any cost allocation reporting — untagged resources are the single biggest…
Separate application source code repositories from a dedicated GitOps configuration repository — mixing them makes it harder to enforce different review policies for code…
Before extracting any service, map your monolith's internal module boundaries and data ownership — the seams that already exist in your codebase (even informally)…
Strong consistency across regions requires synchronous replication, which adds meaningful write latency proportional to inter-region network distance — most active-active designs a
