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Developing on Oracle Cloud Infrastructure: Architecting, Automating, and Operating at Scale
Paperback
Publisher: Independently Published
Published: Feb 23 2026
Pages: 488
Weight: 1.85
Height: 0.98 Width: 7.00 Depth: 10.00
Language: English
Developing on Oracle Cloud Infrastructure is a practical guide for building, delivering, and operating modern applications on OCI, without getting lost in service catalogs or one-off demos. It follows a single, realistic reference platform, AuroraRetail 360, as it evolves from a classic 3-tier baseline into a cloud-native, event-driven system with microservices, serverless workflows, data pipelines, analytics, and MLOps, fully governed with Infrastructure as Code, CI/CD, observability, and security engineering.
Instead of presenting OCI as a menu of features, this book treats OCI service families as building blocks that solve recurring problems: secure networking and landing zones, identity-first access, reliable API platforms, burst handling with streaming and functions, scalable data ingestion and warehousing, and day-two operations that survive real incidents. Each chapter connects architecture decisions to the operational reality of production: SLOs and error budgets, canary and blue-green rollouts, runbooks for common failures, and secure SDLC practices for containers and templates.
Whether you're migrating from on-prem Oracle estates, integrating with Oracle SaaS (Fusion ERP and more), or designing multi-region patterns for resilience, you'll find actionable patterns, anti-patterns to avoid, and migration lessons learned, grounded in the AuroraRetail 360 story and written for practitioners who want systems that work at scale.
Inside you'll learn how to:
Design a landing zone with compartments, policies, tagging, and guardrails that scale across teams and environments
Build cloud-native APIs with OKE, API Gateway, Functions, Streaming, and a protected transactional core
Implement event-driven workflows, sagas, and async integrations that keep checkout fast and correct
Create a governed data platform with Object Storage + ADW, near real-time analytics, and reliable pipelines
Serve ML models in production and operate MLOps with monitoring, retraining, and controlled rollouts
Ship safely with IaC and CI/CD, using canaries, feature flags, and rollback strategies
Run OCI platforms with observability-first SRE practices and security engineering throughout the SDLC
Ideal for developers, platform engineers, DevOps/SRE teams, and architects who want an end-to-end, production-minded blueprint for OCI-built around patterns you can reuse far beyond retail.
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