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A production guide to bootstrapping Offvia, an AI travel concierge on Google Cloud: bypassing weeks of IAM red tape, Express Mode, and Pydantic v2 data contracts.
21 engineering guides & blueprints
Build a production-ready GCP data orchestration layer with Managed Service for Apache Airflow, Cloud Workflows, Dataform, and BigQuery.
Build a production BigQuery Medallion Lakehouse with Google Cloud Dataform: incremental SQLX models, late-arrival deduplication, quarantine tables, assertions, and release workflows.
Build a reliable BigQuery transformation layer with Medallion architecture, Dataform or dbt, incremental processing, deduplication, and practical data-quality controls.
Build a resilient GCP streaming pipeline with Pub/Sub, Apache Beam on Dataflow, raw-event landing, quarantine handling, event-time windows, and BigQuery Storage Write API sinks.
A practical guide to choosing between Pub/Sub BigQuery subscriptions, Dataflow, the BigQuery Storage Write API, and batch loads—without over-engineering the path.
A practical, end-to-end GCP data engineering lab covering Cloud Storage, BigLake external connections, partitioned and clustered BigQuery, materialized views, Time Travel, and authorized views.
A step-by-step architectural guide to core Google Cloud data engineering storage and access primitives. From Cloud Storage to partitioned BigQuery, materialized views, and authorized views.
Configure production mTLS for Kubernetes and microservices: Java KeyStore vs TrustStore, cert-manager automation, PKIX path building troubleshooting, and recovery.
Master the TLS handshake packet-by-packet: 1-RTT vs 2-RTT flows, ECDHE key exchange, cipher suites, SNI routing, and practical OpenSSL debugging one-liners.
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Practitioner specializing in distributed backend systems, Kubernetes orchestration, and cloud infrastructure delivery. GCloud Cafe is an independent engineering journal documenting reproducible architectures, hands-on lab experiments, and real-world production engineering lessons.
