Video Tutorial

ScaleCloud resources classified by delivery format: Video Tutorial.

  • Video Tutorial: Rehearse an Isolated Recovery Environment

    This video tutorial helps Resilience Engineer teams design recovery around business services, dependencies, and tested objectives using Recovery orchestration and validation in AWS environments. It emphasizes protect backup identity and immutability boundaries and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Video Tutorial: Validate a Data Product Contract

    This video tutorial helps Data Engineer teams define contracts for schema, quality, lineage, and ownership using Schema and 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.

  • Video Tutorial: Add Human Approval to an Agentic Workflow

    This video tutorial helps AI Engineer teams bound tool access, autonomy, memory, and approval points using Tool gateway and approval queue in Microsoft Azure environments. It emphasizes record actions and make consequential steps interruptible 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.

  • Video Tutorial: Investigate a Cloud Cost Anomaly

    This video tutorial helps FinOps Practitioner teams make cost allocation and unit economics understandable to engineering owners using Billing export and ownership tags 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.

  • Video Tutorial: Review a Just-in-Time Access Request

    This video tutorial helps Security Engineer teams verify identity, device, context, and authorization for every privileged path using Privileged identity management in Microsoft Azure 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: Build an OpenTelemetry Collector Pipeline

    This video tutorial helps SRE teams connect service objectives to ownership, telemetry, and response actions using OpenTelemetry Collector 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.

  • Video Tutorial: Diagnose Kubernetes Scheduling Pressure

    This video tutorial helps Platform Engineer teams separate cluster lifecycle, workload policy, and application delivery concerns using Requests, quotas, and scheduler events in Rancher environments. It emphasizes enforce secure defaults without hiding platform behavior and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Video Tutorial: Trace a GitOps Deployment from Commit to Cluster

    This video tutorial helps DevOps Engineer teams make desired state, promotion rules, and rollback evidence reviewable using Argo CD and deployment telemetry in Kubernetes 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.

  • Video Tutorial: Map AWS Accounts to Enterprise Guardrails

    This video tutorial helps Cloud Engineer teams treat account structure, identity, network, logging, and policy as a product using AWS Organizations and service control policies 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.