Pega Agentic AI on Cloud 3
Architecture, Governance, and Operating Models for Modern Enterprises
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Product details:
- Edition number 1
- Publisher Auerbach Publications
- Date of Publication 15 June 2026
- ISBN 9781041211877
- Binding Hardback
- No. of pages366 pages
- Size 234x156 mm
- Language English
- Illustrations 21 Illustrations, color; 21 Line drawings, color; 35 Tables, black & white 700
Categories
Short description:
This book explores how Pega Cloud 3 leverages agentic AI, Google Cloud Platform and Amazon Web Services to build scalable Software as a Service (SaaS) platforms. It provides readers with insights into agentic AI as a service, microservices and application performance, and the React-based Constellation UI in Pega Infinity 23.
MoreLong description:
Modern enterprises must address three concurrent challenges: rapid technological advancement, increasing regulatory requirements, and heightened customer expectations. In this context, the concept of cloud has evolved from a destination to an operating model. Pega Cloud 3 exemplifies this transformation. It provides a cloud-native execution environment, including pods for strict isolation, externalized stateful services for enhanced performance, Kubernetes for automated recovery and continuous delivery, and integrated low-code decisioning with governance. Pega Agentic AI on Cloud 3 synthesizes these components into a structured methodology, enabling agentic artificial intelligence (AI) that operates with evidence-based planning and defined safeguards. Key features of the book include:
- Priority is given to actionable decisions over extensive definitions. Where terminology could become ambiguous, a default is provided along with justification for any deviations, facilitating team progress.
- Evidence is treated as the primary deliverable. Automated pipelines are emphasized over static screenshots, and audits are structured as exportable data rather than informal searches.
- Rollbacks are occasionally necessary. Rollback procedures are designed, rehearsed, and standardized to maintain operational confidence.
The book is a practical guide focusing on actionable methodologies rather than theoretical concepts. Each architectural pattern supports incremental adoption, with all controls implemented programmatically, and every change is subject to audit and review. The book features a continuous case study, Northstar Enterprises, a diversified organization that adopted Cloud 3 to accelerate delivery, efficiently demonstrate compliance, and align scaling with measurable customer outcomes.
MoreTable of Contents:
1. Architecture of Pega Cloud 3 2. Kubernetes and Pod Structure 3. Managing Kubernetes Deployments 4. Integration with External Services 5. Differences Between Cloud 2 and Cloud 3 6. Microservices in Pega Cloud 3 7. Operational Best Practices 8. Migration to Pega Cloud 3 9. Future Trends and the BOAT Roadmap 10. Real-World Case Studies and Industry Use Cases 11. Cognitive Architectures for Pega Agentic AI 12. Building Blocks for Pega Agentic AI Systems
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