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chakraborty mainak; kundan ajit pratap - monitoring cloud-native applications
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Monitoring Cloud-Native Applications Lead Agile Operations Confidently Using Open Source Software

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Apress

Pubblicazione: 05/2021
Edizione: 1st ed.





Trama

Introduce yourself to the nuances of modern monitoring for cloud-native applications running on Kubernetes clusters. This book will help you get started with the concepts of monitoring, introduce you to popular open-source monitoring tools, and help with finding the correct set of use cases for their implementation. It covers the in-depth technical details of open-source software used in modern monitoring systems that are tailor made for environments running microservices.

Monitoring Cloud-Native Applications is divided into two parts. Part 1 starts with an introduction to cloud-native applications and the foundational concepts of monitoring. It then walks you through the various aspects of monitoring containerized workloads using Kubernetes as the de-facto orchestration platform. You will dive deep into the architecture of a modern monitoring system and look at its individual components in detail.

Part 2 introduces you to popular open-source tools which are usedby enterprises and startups alike and are well established as the tools of choice for industry stalwarts. First off, you will look at Prometheus and understand its architecture and usage. You will also learn about InfluxDB, formerly called TICK Stack (Telegraf, InfluxDB, Chronograf, and Kapacitor). You will explore the technical details of its architecture and the use cases which it solves. In the next chapter, you will be introduced to Grafana, a multi-platform open source analytics and interactive visualization tool that can help you with visualization of data and dashboards.     

After reading this book, you will have a much better understanding of key terminologies and general concepts around monitoring and observability. You will also be able to select a suitable monitoring solution from the bouquet of open-source monitoring solutions available for applications, microservices, and containers. Armed with this knowledge, you will be better prepared to design and lead a successful agile operations team.

What You Will Learn

Monitor and observe of metrics, events, logs, and traces

Carry out infrastructure and application monitoring for microservices architecture

Analyze and visualize collected data

Use alerting, reporting, and automated actions for problem resolution

Who This Book Is For

DevOps administrators, cloud administrators, and site reliability engineers (SREs) who manage and monitor applications and cloud infrastructure on a day-to-day basis within their organizations.





Sommario

Ch1: Basic concepts of Monitoring.- Ch 2: Collection of Events, Logs and Metrics.- Ch 3: Architecture of a Modern Monitoring System.- Ch 4: Prometheus.- Ch 5: TICK Platform.- Ch 6: Elastic Stack – Elastic Search.- Ch 7: Analyze and Investigate.- Ch 8: Type of Time Series Graphs.- Ch 9: Type of Summary Graphs.- Ch 10: Graphana.- Ch 11: Alerting and Notifications.





Autore

Mainak Chakraborty works as a senior solutions architect at a leading public cloud company, specializing in cloud management and automation tools. He has been instrumental in shaping the cloud journey of customers across industry segments whether they be established enterprises or born-in-the-cloud startups. Mainak is an open source enthusiast and regularly presents at industry technical events on his favorite topics of automation, cloud native applications, and cloud computing.

 

Ajit Pratap Kundan stands at the leading edge of the innovative technologies of todays’ information technology world. He’s worked with HPE, VMware, Novell, Redington, and PCS and helped their customers in transforming their datacenters through software-defined services. Ajit is a valued author on cloud technologies and has authored two books VMware Cross-Cloud Architecture and Intelligent Automation with VMware publishedby Packt and has reviewed one book Deep Learning with Pytorch.












Altre Informazioni

ISBN:

9781484268872

Condizione: Nuovo
Dimensioni: 254 x 178 mm
Formato: Brossura
Illustration Notes:XIV, 245 p. 230 illus.
Pagine Arabe: 245
Pagine Romane: xiv


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