Application Performance Management in Modern Systems (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"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 dev...
"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 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.
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