Foundations Of Scalable Systems Reddit
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Ultimate ITIL® 4 for Scaling ITSM in Enterprise
Author: Sankarsan Biswas
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2025-07-28
TAGLINE Confidently Scale ITSM Using ITIL® 4, DevOps, and Cloud. KEY FEATURES ● Scalable ITIL® 4 strategies tailored for complex enterprise needs. ● Seamless integration with Agile, DevOps, Cloud, and Digital tools. ● Practical frameworks for KPIs, performance, and ITSM governance. DESCRIPTION ITIL® 4 is the foundation for modern, scalable, and value-driven IT Service Management (ITSM). But mastering its true potential requires more than certification. Ultimate ITIL® 4 for Scaling ITSM in Enterprise is your definitive guide to evolving from foundational knowledge to transformational leadership. Whether you're an ITSM practitioner, consultant, or technology leader, this book takes you beyond the basics—deep into the realities of applying ITIL® 4 in today’s hybrid, fast-paced environments shaped by Agile, DevOps, Cloud, and Digital Transformation. You’ll begin with a solid refresh of the core concepts, then advance through ITIL® 4’s critical practices—from governance, risk, and continual improvement to technical integration and enterprise-scale implementation. Along the way, you'll learn to craft scalable workflows, embed KPIs, measure value, align with business outcomes, and build ITSM ecosystems that thrive across geographies and functions. This isn’t just a theory book—it’s a strategic playbook for real-world impact. You’ll close each chapter better equipped to drive operational excellence and future-proof your ITSM capabilities in a digital-first world. If you’re serious about turning ITIL® 4 into a competitive advantage and don’t want to be left behind in the next wave of enterprise transformation, this is the book for you! WHAT WILL YOU LEARN ● Apply advanced ITIL® 4 strategies in complex enterprise settings. ● Integrate ITIL® 4 with Agile, DevOps, Cloud, and AI practices. ● Design resilient ITSM workflows aligned to business objectives. ● Build governance models that ensure value and compliance. ● Measure service value using KPIs, SLAs, and metrics frameworks. ● Lead continual improvement and prepare for future ITSM trends. WHO IS THIS BOOK FOR? This book is for ITSM professionals, consultants, managers, and enterprise leaders with a foundational understanding of ITIL® 4. It's ideal for those aiming to scale ITSM across large organizations, integrate with Agile, DevOps, and Cloud, and deliver measurable business value through service excellence. Whether you're leading digital transformation, optimizing operations, or preparing for senior ITSM roles, this book equips you with the insights and tools to lead with confidence in a complex, evolving IT landscape. TABLE OF CONTENTS 1. Introduction to Advanced ITIL4 Concepts 2. Revisiting ITIL4 Basics 3. ITIL4’s Role in Digital Transformation 4. General Management Practices 5. Service Management Practices 6. Technical Management Practices 7. Integrating ITIL4 with Modern Frameworks 8. Scaling ITIL4 in Large Enterprises 9. Measuring ITIL4 Performance and Value Creation 10. Governance and Continual Improvement 11. Emerging Trends and Technologies in ITIL4 12. Overcoming Challenges in ITIL4 Implementation 13. The Road Ahead for ITIL4 Professionals Index
The Art of Scalability
Author: Martin L. Abbott
language: en
Publisher: Addison-Wesley Professional
Release Date: 2015-05-23
The Comprehensive, Proven Approach to IT Scalability–Updated with New Strategies, Technologies, and Case Studies In The Art of Scalability, Second Edition, leading scalability consultants Martin L. Abbott and Michael T. Fisher cover everything you need to know to smoothly scale products and services for any requirement. This extensively revised edition reflects new technologies, strategies, and lessons, as well as new case studies from the authors’ pioneering consulting practice, AKF Partners. Writing for technical and nontechnical decision-makers, Abbott and Fisher cover everything that impacts scalability, including architecture, process, people, organization, and technology. Their insights and recommendations reflect more than thirty years of experience at companies ranging from eBay to Visa, and Salesforce.com to Apple. You’ll find updated strategies for structuring organizations to maximize agility and scalability, as well as new insights into the cloud (IaaS/PaaS) transition, NoSQL, DevOps, business metrics, and more. Using this guide’s tools and advice, you can systematically clear away obstacles to scalability–and achieve unprecedented IT and business performance. Coverage includes • Why scalability problems start with organizations and people, not technology, and what to do about it • Actionable lessons from real successes and failures • Staffing, structuring, and leading the agile, scalable organization • Scaling processes for hyper-growth environments • Architecting scalability: proprietary models for clarifying needs and making choices–including 15 key success principles • Emerging technologies and challenges: data cost, datacenter planning, cloud evolution, and customer-aligned monitoring • Measuring availability, capacity, load, and performance
Data Manipulation with Python Step by Step: A Practical Guide with Examples
Data Manipulation with Python Step by Step: A Practical Guide with Examples offers a clear and systematic approach to mastering data handling tasks in Python. The book begins with essential programming fundamentals, ensuring that readers, regardless of background, acquire a thorough grounding in variables, data types, control flow, and function definition. This foundation is progressively expanded to encompass the use of built-in data structures and the effective management of input and output across various file formats. As the book advances, it introduces the pandas library, providing detailed guidance on leveraging DataFrames and Series for efficient data organization, transformation, and analysis. Readers learn practical solutions for common challenges such as importing data, cleaning and standardizing datasets, handling missing or inconsistent values, and working with date and time information. Each concept is presented with clear explanations and relevant examples that facilitate immediate application to real-world data scenarios. Designed for students, analysts, and professionals, this book balances accessibility with technical rigor. By integrating practical tutorials and a complete project, it enables readers to translate foundational concepts into robust workflows for data preparation, exploration, and reporting. Upon completion, readers will be prepared to manage diverse data tasks with confidence, optimizing Python’s capabilities for effective data manipulation and analysis.