Discover the methodologies and best practices for getting started with container services monitoring using Prometheus, AppDynamics, and Dynatrace. The book begins with the basics of working with the containerization and microservices architecture while establishing the need for monitoring and management technologies. Youll go through hands-on deployment, configuration, and best practices for Prometheus. Next, youll delve deeper into monitoring of container ecosystems for availability, performance, and logs, and then cover the reporting capabilities of Prometheus. Further, youll move on to advanced topics of extending Prometheus including how to develop new use cases and scenarios.
Youll then use enterprise tools such as AppDynamics and Wavefront to discover deeper application monitoring best practices. Youll conclude with fully automated deployment of the monitoring and management platforms integrated with the container ecosystem using infrastructure-as -code tools such as Jenkins, Ansible and Terraform. The book provides sample code and best practices for you to look at container monitoring from a holistic viewpoint.
This book is a good starting point for developers, architects, and administrators who want to learn about monitoring and management of cloud native and microservices containerized applications.
What You Will Learn
- Examine the fundamentals of container monitoring
- Get an overview of the architecture for Prometheus and Alert Manager
- Enable Prometheus monitoring for containers
- Monitor containers using Wavefront
- Use the guidelines on container monitoring with enterprise solutions AppDynamics and Wavefront
Who This Book Is For Software developers, system administrators, and DevOps engineers working for enterprise customers who want to use monitoring solutions for their container ecosystems.
Chapter 1 Container Overview.
Chapter 2 Getting Started with
Container.
Chapter 3 Introduction to Prometheus and Alert manager.
Chapter
4 Container Availability Monitoring.
Chapter 5 Container Performance
Monitoring.
Chapter 6 Container Log Monitoring.
Chapter 7 Container
Reporting & Dashboards.
Chapter 8 Working with Prometheus Query Language
(PromQL).
Chapter 9 Automation and Orchestration of Container Monitoring.
Navin Sabharwal is an innovator, thought leader, author, and consultant in the areas of AI, machine learning, cloud computing, big data analytics, and software product development. He is responsible for IP development and service delivery in the areas of AI and machine learning, automation products, GCP, cloud computing, public cloud AWS, and Microsoft Azure. Navin has created niche award-winning products and solutions and has filed numerous patents in diverse fields such as IT services, assessment engines, ranking algorithms, capacity planning engines, and knowledge management.
Piyush is a solution architect for automation, DevOps, and cloud services with 10 years of IT experience. He is currently working as a deputy general manager at HCL DRYiCE, focusing on creating solutions catering to cloud adoption (including cloud landing zone, migration, and operations), automation, orchestration, and cloud life-cycle management.
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