Published
Platform Engineering Patterns for Kubernetes Teams
This ebook helps Platform Engineering Lead teams build self-service capabilities around paved paths and clear contracts using Golden paths, GitOps, policy, observability in Kubernetes environments. It emphasizes treat platform APIs and documentation as products and provides implementation decisions that can be reviewed without relying on vendor or customer claims.
The Enterprise Landing Zone Field Guide
This ebook helps Cloud Architect teams treat account structure, identity, network, logging, and policy as a product using Cloud hierarchy, identity, network, logging, policy in Multi-Cloud environments. It emphasizes version guardrails and exception paths and provides implementation decisions that can be reviewed without relying on vendor or customer claims.
Enterprise Governance for Retrieval-Augmented Generation
This whitepaper helps AI Leader teams assign ownership across use-case intake, data, models, applications, and operations using RAG evaluation, provenance, and access control in Private Cloud environments. It emphasizes capture evidence proportionate to impact and provides implementation decisions that can be reviewed without relying on vendor or customer claims.
Zero Trust Control Design for Cloud Transformation
This whitepaper helps CISO and Security Architect teams verify identity, device, context, and authorization for every privileged path using Identity, device, network, and workload policy in Multi-Cloud environments. It emphasizes minimize standing access and network-based trust and provides implementation decisions that can be reviewed without relying on vendor or customer claims.
A Decision Framework for Hybrid and Multi-Cloud Architecture
This whitepaper helps Enterprise Architect teams standardize decision criteria while allowing provider-native implementation using Architecture decision records and workload placement in Hybrid Cloud environments. It emphasizes govern shared identity, data, and delivery boundaries and provides implementation decisions that can be reviewed without relying on vendor or customer claims.
Governing Cloud Platforms as Enterprise Products
This whitepaper helps CTO and Platform Leader teams build self-service capabilities around paved paths and clear contracts using Platform product management and policy in Multi-Cloud environments. It emphasizes treat platform APIs and documentation as products and provides implementation decisions that can be reviewed without relying on vendor or customer claims.
Implement Data Product Contracts in a Lakehouse
This technical guide helps Data Platform Engineer teams define contracts for schema, quality, lineage, and ownership using Schema registry, lineage, quality checks in Google Cloud environments. It emphasizes separate ingestion reliability from consumption semantics and provides implementation decisions that can be reviewed without relying on vendor or customer claims.
Deploy a Permission-Aware RAG Retrieval Pipeline
This technical guide helps AI Engineer teams treat retrieval quality, permissions, provenance, and answer evaluation as one design using Document ACLs, vector search, model gateway in Microsoft Azure environments. It emphasizes preserve source-level access controls through indexing and retrieval and provides implementation decisions that can be reviewed without relying on vendor or customer claims.
Design a FinOps Anomaly Response Workflow
This technical guide helps FinOps Lead teams make cost allocation and unit economics understandable to engineering owners using Billing exports, alerts, ownership routing in Multi-Cloud environments. It emphasizes pair guardrails with transparent decision rights and provides implementation decisions that can be reviewed without relying on vendor or customer claims.
Create an OpenTelemetry Baseline for Platform Services
This technical guide helps SRE teams connect service objectives to ownership, telemetry, and response actions using OpenTelemetry Collector and service objectives in Multi-Cloud environments. It emphasizes control cardinality and sensitive data in telemetry and provides implementation decisions that can be reviewed without relying on vendor or customer claims.