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Observability with Grafana

You're reading from   Observability with Grafana Monitor, control, and visualize your Kubernetes and cloud platforms using the LGTM stack

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781803248004
Length 356 pages
Edition 1st Edition
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Authors (2):
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Rob Chapman Rob Chapman
Author Profile Icon Rob Chapman
Rob Chapman
Peter Holmes Peter Holmes
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Peter Holmes
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Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1: Get Started with Grafana and Observability
2. Chapter 1: Introducing Observability and the Grafana Stack FREE CHAPTER 3. Chapter 2: Instrumenting Applications and Infrastructure 4. Chapter 3: Setting Up a Learning Environment with Demo Applications 5. Part 2: Implement Telemetry in Grafana
6. Chapter 4: Looking at Logs with Grafana Loki 7. Chapter 5: Monitoring with Metrics Using Grafana Mimir and Prometheus 8. Chapter 6: Tracing Technicalities with Grafana Tempo 9. Chapter 7: Interrogating Infrastructure with Kubernetes, AWS, GCP, and Azure 10. Part 3: Grafana in Practice
11. Chapter 8: Displaying Data with Dashboards 12. Chapter 9: Managing Incidents Using Alerts 13. Chapter 10: Automation with Infrastructure as Code 14. Chapter 11: Architecting an Observability Platform 15. Part 4: Advanced Applications and Best Practices of Grafana
16. Chapter 12: Real User Monitoring with Grafana 17. Chapter 13: Application Performance with Grafana Pyroscope and k6 18. Chapter 14: Supporting DevOps Processes with Observability 19. Chapter 15: Troubleshooting, Implementing Best Practices, and More with Grafana 20. Index 21. Other Books You May Enjoy

Introducing the Grafana stack

Grafana was born in 2013 when a developer was looking for a new user interface to display metrics from Graphite. Initially forked from Kibana, the Grafana project was developed to make it easy to build quick, interactive dashboards that were valuable to organizations. In 2014, Grafana Labs was formed with the core value of building a sustainable business with a strong commitment to open source projects. From that foundation, Grafana has grown into a strong company supporting more than 1 million active installations. Grafana Labs is a huge contributor to open source projects, from their own tools to widely adopted technologies such as Prometheus, and recent initiatives with a lot of traction such as OpenTelemetry.

Grafana offers many tools, which we’ve grouped into the following categories:

  • The core Grafana stack: LGTM and the Grafana Agent
  • Grafana enterprise plugins
  • Incident response tools
  • Other Grafana tools

Let’s explore these tools in the following sections.

The core Grafana stack

The core Grafana stack consists of Mimir, Loki, Tempo, and Grafana; the acronym LGTM is often used to refer to this tech stack.

Mimir

Mimir is a Time Series Database (TSDB) for the storage of metric data. It uses low-cost object storage such as S3, GCS, or Azure Blob Storage. First announced for general availability in March 2022, Mimir is the newest of the four products we’ll discuss here, although it’s worth highlighting that Mimir initially forked from another project, Cortex, which was started in 2016. Parts of Cortex also form the core of Loki and Tempo.

Mimir is a fully Prometheus-compatible solution that addresses the common scalability problems encountered with storing and searching huge quantities of metric data. In 2021 Mimir was load tested to 1 billion active time series. An active time series is a metric with a value and unique labels that has reported a sample in the last 20 minutes. We will explore Mimir and Prometheus in much greater detail in Chapter 5.

Loki

Loki is a set of components that offer a full feature logging stack. Loki uses lower-cost object storage such as S3 or GCS, and only indexes label metadata. Loki entered general availability in November 2019.

Log aggregation tools typically use two data structures to store log data. An index that contains references to the location of the raw data paired with searchable metadata, and the raw data itself stored in a compressed form. Loki differs from a lot of other log aggregation tools by keeping the index data relatively small and scaling the search functionality by using horizontal scaling of the querying component. The process of selecting the best index fields is one we will cover in Chapter 4.

Tempo

Tempo is a storage backend for high-scale distributed trace telemetry, with the aim of sampling 100% of the read path. Like Loki and Mimir, it leverages lower-cost object storage such as S3, GCS, or Azure Blob Storage. Tempo went into general availability in June 2021.

When Tempo released 1.0, it was tested at a sustained ingestion of >2 million spans per second (about 350 MB per second). Tempo also offers the ability to generate metrics from spans as they are ingested; these metrics can be written to any backend that supports Prometheus remote write. Tempo is explored in detail in Chapter 6.

Grafana

Grafana has been a staple for fantastic visualization of data since 2014. It has targeted the ability to connect to a huge variety of data sources from TSDBs to relational databases and even other observability tools. Grafana has over 150 data source plugins available. Grafana has a huge community using it for many different purposes. This community supports over 6,000 dashboards, which means there is a starting place for most available technologies with minimal time to value.

Grafana Agent

Collecting telemetry from many places is one of the fundamental aspects of observability. Grafana Agent is a collection of tools for collecting logs, metrics, and traces. There are many other collection tools that Grafana integrates well with. Different collection tools offer different advantages and disadvantages, which is not a topic we will explore in this book. We will highlight other tools in the space later in this chapter and in Chapter 2 to give you a starting point for learning more about this topic. We will also briefly discuss architecting a collection infrastructure in Chapter 11.

The Grafana stack is a fantastic group of open source software for observability. The commitment of Grafana Labs to open source is supported by great enterprise plugins. Let’s explore them now.

Grafana Enterprise plugins

As part of their Cloud Pro, Cloud Advanced, and Enterprise license offerings, Grafana offers Enterprise plugins. These are part of any paid subscription to Grafana.

The Enterprise data source plugins allow organizations to read data from many other storage tools they may use, from software development tools such as GitLab and Azure DevOps to business intelligence tools such as Snowflake, Databricks, and Looker. Grafana also offers tools to read data from many other observability tools, which enables organizations to build comprehensive operational coverage while offering individual teams a choice of the tools they use.

Alongside the data source plugins, Grafana offers premium tools for logs, metrics, and traces. These include access policies and tokens for log data to secure sensitive information, in-depth health monitoring for the ingest and storage of cloud stacks, and management of tenants.

Grafana incident response and management

Grafana offers three products in the incident response and management (IRM) space:

  • At the foundation of IRM are alerting rules, which can notify via messaging apps, email, or Grafana OnCall
  • Grafana OnCall offers an on-call schedule management system that centralizes alert grouping and escalation routing
  • Finally, Grafana Incident offers a chatbot functionality that can set up necessary incident spaces, collect timelines for a post-incident review process, and even manage the incident directly from a messaging service

These tools are covered in more detail in Chapter 9. Now let’s take a look at some other important Grafana tools.

Other Grafana tools

Grafana Labs continues to be a leader in observability and has acquired several companies in this space to release new products that complement the tools we’ve already discussed. Let’s discuss some of these tools now.

Faro

Grafana Faro is a JavaScript agent that can be added to frontend web applications. The project allows for real user monitoring (RUM) by collecting telemetry from a browser. By adding RUM into an environment where backend applications and infrastructure are instrumented, observers gain the ability to traverse data from the full application stack. Faro supports the collection of the five core web vitals out of the box, as well as several other signals of interest. Faro entered general availability in November 2022. We cover Faro in more detail in Chapter 12.

k6

k6 is a load testing tool that provides both a packaged tool to run in your own infrastructure and a cloud Software as a Service (SaaS) offering. Load testing, especially as part of a CI/CD pipeline, really enables teams to see how their application will perform under load, and evaluate optimizations and refactoring. Paired with other detailed analysis tools such as Pyroscope, the level of visibility and accessibility to non-technical members of the team can be astounding. The project started back in 2016 and was acquired by Grafana Labs in June 2021. The goal of k6 is to make performance testing easy and repeatable. We’ll explore k6 in Chapter 13.

Pyroscope

Pyroscope is a recent acquisition of Grafana Labs, joining in March 2023. Pyroscope is a tool that enable teams to engage in the continuous profiling of system resource use by applications (CPU, memory, etc.). Pyroscope advertises that with a minimal overhead of ~2-5% of performance, they can collect samples as frequently as every 10 seconds. Phlare is a Grafana Labs project started in 2022, and the two projects have now merged. We discuss Pyroscope in more detail in Chapter 13.

Now that you know the different tools available from Grafana Labs, let’s look at some alternatives that are available.

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Observability with Grafana
Published in: Jan 2024
Publisher: Packt
ISBN-13: 9781803248004
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