Sairohith Thummarakoti

Broschiertes Buch

Pega Agentic AI on Cloud 3

Architecture, Governance, and Operating Models for Modern Enterprises

Beschreibung

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.

Autor

Sairohith Thummarakoti is a technology leader, innovator, and author specializing in Pega, artificial intelligence, and cloud computing. He holds top-level professional certifications as a Pega Lead System Architect and AWS Certified Solutions Architect - Professional, combining deep technical knowledge with real-world implementation expertise. With over a decade of experience, he has designed and delivered large-scale, intelligent systems that power automation, decision support, and digital transformation across complex enterprise environments. His focus lies at the intersection of AI, low-code development, and cloud-native architecture-building scalable and secure platforms that enhance performance, reliability, and cost efficiency. As Founding Chair of the IEEE Computer Society - Columbia Section, Sairohith has championed community-driven learning through conferences, webinars, and training programs on Pega, low-code/no-code innovation, and modern cloud governance. His initiatives have connected professionals, researchers, and students around emerging technologies and enterprise modernization. Within the global Pega ecosystem, he is widely recognized as a Featured Member and Top Contributor, with over 500 accepted solutions guiding practitioners on architecture, AI integration, and cloud operations. His ongoing mentorship and knowledge sharing have shaped how the Pega community approaches design patterns, scalability, and intelligent automation. Sairohith has authored multiple books with Taylor & Francis on AI, Pega systems, and cloud infrastructure, alongside more than 25 research publications in IEEE, Springer, and other international venues. He also serves as a reviewer and editorial board member for leading engineering journals and conferences. A frequent invited speaker, he continues to advance dialogue on Pega technology, intelligent automation, and the future of enterprise cloud ecosystems.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 288
• Erscheinungstermin: 16. April 2026
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781041212676
• ISBN-10: 1041212674
• Artikelnr.: 75831408