Observability with Grafana: Monitor, control, and visualize your Kubernetes and cloud platforms using the LGTM stack
by 作者: Rob Chapman (Author), Peter Holmes (Author)
Publisher Finelybook 出版社: Packt Publishing
Edition 版本: 1st
Publication Date 出版日期: 2024-01-12
Language 语言: English
Pages 页数: 356 pages
ISBN-10 书号: 1803248009
ISBN-13 书号: 9781803248004
Book Description
Implement the LGTM stack for cost-effective, faster, and secure delivery and management of applications to provide effective infrastructure solutions
Key Features
- Use personas to better understand the needs and challenges of observability tools users
- Get hands-on practice with Grafana and the LGTM stack through real-world examples
- Implement and integrate LGTM with AWS, Azure, GCP, Kubernetes and tools such as OpenTelemetry, Ansible, Terraform, and Helm
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
To overcome application monitoring and observability challenges, Grafana Labs offers a modern, highly scalable, cost-effective Loki, Grafana, Tempo, and Mimir (LGTM) stack along with Prometheus for the collection, visualization, and storage of telemetry data.
Beginning with an overview of observability concepts, this book teaches you how to instrument code and monitor systems in practice using standard protocols and Grafana libraries. As you progress, you’ll create a free Grafana cloud instance and deploy a demo application to a Kubernetes cluster to delve into the implementation of the LGTM stack. You’ll learn how to connect Grafana Cloud to AWS, GCP, and Azure to collect infrastructure data, build interactive dashboards, make use of service level indicators and objectives to produce great alerts, and leverage the AI & ML capabilities to keep your systems healthy. You’ll also explore real user monitoring with Faro and performance monitoring with Pyroscope and k6. Advanced concepts like architecting a Grafana installation, using automation and infrastructure as code tools for DevOps processes, troubleshooting strategies, and best practices to avoid common pitfalls will also be covered.
After reading this book, you’ll be able to use the Grafana stack to deliver amazing operational results for the systems your organization uses.
What you will learn
- Understand fundamentals of observability, logs, metrics, and distributed traces
- Find out how to instrument an application using Grafana and OpenTelemetry
- Collect data and monitor cloud, Linux, and Kubernetes platforms
- Build queries and visualizations using LogQL, PromQL, and TraceQL
- Manage incidents and alerts using AI-powered incident management
- Deploy and monitor CI/CD pipelines to automatically validate the desired results
- Take control of observability costs with powerful in-built features
- Architect and manage an observability platform using Grafana
Who this book is for
If you’re an application developer, a DevOps engineer, a SRE, platform engineer, or a cloud engineer concerned with Day 2+ systems operations, then this book is for you. Product owners and technical leaders wanting to gain visibility of their products in a standardized, easy to implement way will also benefit from this book. A basic understanding of computer systems, cloud computing, cloud platforms, DevOps processes, Docker or Podman, Kubernetes, cloud native, and similar concepts will be useful.
Table of
Contents
- Introducing Observability and the Grafana Stack
- Instrumenting Applications and Infrastructure
- Setting Up a Learning Environment with Demo Applications
- Looking at Logs with Grafana Loki
- Monitoring with Metrics using Grafana Mimir and Prometheus
- Tracing Technicalities with Grafana Tempo
- Interrogating Infrastructure with Kubernetes, AWS, GCP, and Azure
- Displaying Data with Dashboards
- Managing Incidents using Alerts
- Automation with Infrastructure as Code
- Architecting an Observability Platform
(N.B. Please use the Look Inside option to see further chapters)
About the Author
Peter Holmes is a senior engineer with a deep interest in digital systems and how to use them to solve problems. With over 16 years of experience, he has worked in various roles in operations. Working at organizations such as Boots UK, Fujitsu Services, Anaplan, Thomson Reuters, and the NHS, he has experience in complex transformational projects, site reliability engineering, platform engineering, and leadership. Peter has a history of taking time to understand the customer and ensuring Day-2+ operations are as smooth and cost-effective as possible.
