• Outcome-driven content: No fluff—just proven blueprints for API platforms, unified data layers, and AI services that deliver measurable business value.

• Deep technical dives: Apigee X & Hybrid, Application Integration, BigQuery, Looker, Vertex AI, Landing Zone, SRE/Observability, and FinOps.

• 1:1 architecture reviews: Book time with Cloudypedia experts for targeted guidance on your roadmap, cost model, and security posture.

• Peer learning: Hear frank lessons learned from leaders operating at scale—what worked, what didn’t, and why.

1) Enterprise Integration

• Enterprise API strategy: governance, lifecycle, developer experience.

• Integration Migration to Cloud; zero-downtime patterns.

• BFFs, multi-tenant APIs, and secure public endpoints.

• API security: OAuth/OIDC, mTLS, WAF, threat protection, PCI/PII controls.

• API monetization and internal marketplaces.

2) Data & AI

• Trusted analytics foundation: ingestion → transformation → semantic layer.

• Governed self-service BI with Looker and reusable business measures.

• Operationalizing AI: model governance, evaluation, and cost control.

• Real-time pipelines and feature stores for predictive & generative AI.

3) Data Governance & Security

• Governance operating model: stewardship, ownership, and data councils

• Policies & controls: data classification, RLS/CLS, masking, tokenization, DLP

• Metadata & catalog: lineage, quality rules, and approval workflows

• Access management: least privilege, ABAC/RBAC, context-aware controls

• Compliance frameworks & audits: evidence automation, RTM/controls mapping

• Secure sharing & interoperability: contracts, SLAs, and data product standards

4) Cloud Foundations (Landing Zone, SRE, FinOps, Security)

• Secure-by-design landing zones (IAM/KMS, network architecture, WAF).

• Observability: SLOs, tracing, logging, and incident response playbooks.

• FinOps in practice: commitments, rightsizing, serverless, chargeback.

• Compliance-ready architectures and data residency patterns.