Book Image

Observability with Grafana

By : Rob Chapman, Peter Holmes
Book Image

Observability with Grafana

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)
1
Part 1: Get Started with Grafana and Observability
5
Part 2: Implement Telemetry in Grafana
10
Part 3: Grafana in Practice
15
Part 4: Advanced Applications and Best Practices of Grafana

Using Pyroscope for continuous profiling

First, let’s address the question of what continuous profiling is. As we outlined at the start of this book, a system is observable when the internal state of the system can be inferred from its external outputs. We have seen three types of output telemetry: logs, metrics, and traces. Profiling data is another form of telemetry. Profiling data is very low-level data that relates to a workload’s use of resources, such as the use of CPU or memory. As profiling tools analyze very low-level system data, they capture information such as the running time or the number of objects in memory of a specific application function. This is very powerful for domain experts to inspect how an application behaves, and this power can lead to significant performance and cost improvements. Profiling has been around for a long time, as anyone who has produced a stack trace will know. Pyroscope offers the ability to capture this profiling data continuously...