Application Performance Management In Modern Systems
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Application Performance Management in Modern Systems
"Application Performance Management in Modern Systems" "Application Performance Management in Modern Systems" offers a definitive, comprehensive guide to understanding, implementing, and advancing APM for today’s complex software landscapes. Beginning with the origins of performance monitoring, the book deftly traces the evolution from monolithic architectures to modern microservices, cloud-native, and serverless paradigms. Readers are grounded in core principles—including observability, capacity planning, and the critical distinctions between monitoring and true system observability—while developing a firm grasp of the metrics, service-level objectives, and models that underpin effective performance management. As systems become increasingly distributed, the work illuminates essential strategies for instrumentation, telemetry collection, and pipeline design, covering everything from OpenTelemetry and distributed tracing in microservices to synthetic monitoring, edge/IoT telemetry, and high-throughput data ingestion pipelines. Advanced chapters provide actionable methodologies for topology discovery, root cause analysis, and the nuanced diagnostics required for resilient, multi-tenant, and cloud-native environments. A dedicated focus on security, privacy, and compliance ensures practitioners are equipped to handle sensitive performance data in line with today’s stringent standards. Throughout, the book seamlessly bridges technical detail and operational excellence, exploring automation, adaptive alerting, feedback loops, and the integration of APM in the continuous delivery lifecycle. Forward-looking sections discuss the growing role of AI/ML in autonomous performance management, the alignment of APM with business KPIs and sustainability goals, and the challenges presented by emerging architectures such as quantum computing. Meticulously structured and rich with practical insights, this volume is an indispensable resource for engineers, architects, and technology leaders seeking to drive reliability, efficiency, and innovation in modern systems.
Application Performance Management (APM) in the Digital Enterprise
Application Performance Management (APM) in the Digital Enterprise enables IT professionals to be more successful in managing their company's applications. It explores the fundamentals of application management, examines how the latest technological trends impact application management, and provides best practices for responding to these changes. The recent surge in the use of containers as a way to simplify management and deploy applications has created new challenges, and the convergence of containerization, cloud, mobile, virtualization, analytics, and automation is reshaping the requirements for application management. This book serves as a guide for understanding these dramatic changes and how they impact the management of applications, showing how to create a management strategy, define the underlying processes and standards, and how to select the appropriate tools to enable management processes. - Offers a complete framework for implementing effective application management using clear tips and solutions for those responsible for application management - Draws upon primary research to give technologists a current understanding of the latest technologies and processes needed to more effectively manage large-scale applications - Includes real-world case studies and business justifications that support application management investments
Applications of Decision Science in Management
This book covers research trends of data science and management involving cutting edge technologies and novel research directions from diverse fields of industries, business and government sectors. It involves usage of various advanced tools and techniques for understanding different data collected at the grassroot level to generate actionable insights for making crucial decisions. This book aims to serve as a reference book for researchers in the area of decision science for management. It covers alternative solutions with innovative ideas and issues from different fields of business management.