Technology

ScaleCloud resources classified by industry context: Technology.

  • Download: GitOps Promotion Control Pack

    This download bundle helps DevOps Lead teams make desired state, promotion rules, and rollback evidence reviewable using Promotion policy and evidence log in OpenShift environments. It emphasizes protect deployment authority with policy and separation of duties and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Zero Trust Cloud Access Assessment

    This assessment helps Security Leader teams verify identity, device, context, and authorization for every privileged path using Identity, device, workload, privileged access in Hybrid 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.

  • Video Tutorial: Evaluate RAG Retrieval Before Answer Quality

    This video tutorial helps AI Engineer teams treat retrieval quality, permissions, provenance, and answer evaluation as one design using Retrieval metrics and test sets in Private Cloud 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.

  • On-Demand Webinar: FinOps Decisions for Engineering Teams

    This on-demand webinar helps Engineering Leader teams make cost allocation and unit economics understandable to engineering owners using Allocation, anomalies, and unit economics 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.

  • Download Asset Versioning Procedure

    This documentation page helps Content Administrator teams use bounded standards, reference patterns, and recorded exceptions using Version labels, checksums, lifecycle review in Private Cloud environments. It emphasizes connect principles to implementation evidence and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Landing Zone Guardrail Definition Template

    This template helps Cloud Governance Lead teams treat account structure, identity, network, logging, and policy as a product using Control objective, policy, test, exception in AWS environments. It emphasizes version guardrails and exception paths and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Illustrative Case Study: Building FinOps Accountability for Retail Engineering

    This illustrative case study helps FinOps Practitioner teams make cost allocation and unit economics understandable to engineering owners using Billing export, labels, ownership workflow in Google 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.

  • 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.

  • 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.

  • Preparing VMware Workloads for Dependency Discovery

    This knowledge base article helps Migration Architect teams classify workloads by dependency, risk, and modernization intent using Application dependency mapping in VMware environments. It emphasizes define exit criteria before each migration wave and provides implementation decisions that can be reviewed without relying on vendor or customer claims.