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Observability with Grafana

Observability with Grafana

By : Rob Chapman, Peter Holmes
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Observability with Grafana

Observability with Grafana

4 (4)
By: Rob Chapman, Peter Holmes

Overview of this book

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.
Table of Contents (22 chapters)
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Part 1: Get Started with Grafana and Observability
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Part 2: Implement Telemetry in Grafana
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Part 3: Grafana in Practice
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Part 4: Advanced Applications and Best Practices of Grafana
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Chapter 13: Application Performance with Grafana Pyroscope and k6
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Index
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Understanding data storage architectures

Time Series Databases (TSDBs) are ideally suited to handle metric data, as metrics need to record data at specific points in time, and TSDBs are structured to make this data easy to record and query. There are several TSDBs available, but as this book is focused on Grafana, we will only discuss Graphite, Prometheus, and Mimir in this section. This is aimed at giving you an understanding of the structure of data as it is stored, as well as an overview of how Mimir allows organizations to scale their data beyond the capabilities of Graphite and Prometheus.

Graphite architecture

Graphite has several components; we will discuss the storage component Whisper here. The Whisper TSDB uses a flat file structure, where each unique time series is a fixed-size file. This size is determined by the configuration of resolution and retention configured in Whisper. Gathering this data for a search requires each of these files to be read, which quickly...

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