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Application Observability with Elastic 

Publisher:
BPB Publications
| Author:
N Sabharwal, R Shukla
| Language:
English
| Format:
Paperback
Publisher:
BPB Publications
Author:
N Sabharwal, R Shukla
Language:
English
Format:
Paperback

Original price was: ₹799.Current price is: ₹719.

In stock

Ships within:
7-10 Days

In stock

ISBN:
Page Extent:
324

This book teaches an APM engineer how to monitor software services and applications in real time, including collecting detailed performance data on the response time for incoming requests, database queries, cache calls, and external HTTP requests. The book helps readers to explore the architecture and components of the Elastic APM stack. It also teaches you how to architect, deploy, and configure the Elastic APM stack to meet your specific requirements.
The book focuses on monitoring and observability for applications and infrastructures built with Containers and Kubernetes. The book helps you configure APM capabilities like synthetic transaction and real-user transaction monitoring, integration with open-source tools like Prometheus, and data collection and processing using Logstash. Additionally, the book discusses how to use the Kibana dashboard features provided by Elastic APM in conjunction with alerting and dashboards to analyze the application’s performance.
Finally, the book teaches Site Reliability Engineers (SREs) how to meet service-level objectives through indicators such as availability, latency, quality, and saturation.

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Description

This book teaches an APM engineer how to monitor software services and applications in real time, including collecting detailed performance data on the response time for incoming requests, database queries, cache calls, and external HTTP requests. The book helps readers to explore the architecture and components of the Elastic APM stack. It also teaches you how to architect, deploy, and configure the Elastic APM stack to meet your specific requirements.
The book focuses on monitoring and observability for applications and infrastructures built with Containers and Kubernetes. The book helps you configure APM capabilities like synthetic transaction and real-user transaction monitoring, integration with open-source tools like Prometheus, and data collection and processing using Logstash. Additionally, the book discusses how to use the Kibana dashboard features provided by Elastic APM in conjunction with alerting and dashboards to analyze the application’s performance.
Finally, the book teaches Site Reliability Engineers (SREs) how to meet service-level objectives through indicators such as availability, latency, quality, and saturation.

About Author

Navin Sabharwal currently is the Chief Architect and Head of Strategy for Autonomics at HCL Technologies. He is responsible for innovation, presales, and delivery of award-winning autonomics platforms. He is an innovator, thought leader, author, and consultant in areas of AI and Machine Learning, Cloud Computing, Big Data Analytics, Software Product Development, Engineering, and R&D. He is responsible for IP Development & Service Delivery in the areas of AI and Machine Learning, Automation products, Cloud Computing, Public Cloud AWS, Microsoft Azure, VMWare Private Cloud, Microsoft Private Cloud, Data Center Automation, Analytics for IT Operations, and IT Service Management. Ravishankar Shukla, is a Senior Consultant with over 12 years of IT experience and leads Observability practice globally within HCL Technologies. He primarily focuses on building market-leading Observability practice capabilities and joint GoToMarket offerings in collaboration with various Observability vendors. He has been working on the delivery of digital transformation projects for various esteemed HCL clients through market-leading platforms such as Cisco AppDynamics, Dynatrace, New Relic as well as new and promising open-source observability platforms, including Elastic APM and Jaeger. He pursues emerging trends in the Full-Stack Observability space specially Open Telemetry standards and Observability for cloud-native applications and platforms.

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