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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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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

Alternatives to the Grafana stack

The monitoring and observability space is packed with different open and closed source solutions such as ps and top going back to the 70s and 80s. We will not attempt to list every tool here; we aim to offer a source of inspiration for people who are curious and want to explore, or who need a quick reference of the available tools (as the authors have on a few occasions).

Data collection

These are agent tools that can be used to collect telemetry from the source:

Tool Name

Telemetry Types

OpenTelemetry Collector

Metrics, logs, traces

FluentBit

Metrics, logs, traces

Vector

Metrics, logs, traces

Vendor-specific agents

(See the Data storage, processing, and visualization section for an expanded list)

Metrics, logs, traces

Beats family

Metrics, logs

Prometheus

Metrics

Telegraf

Metrics

StatsD

Metrics

Collectd

Metrics

Carbon

Metrics

Syslog-ng

Logs

Rsyslog

Logs

Fluentd

Logs

Flume

Logs

Zipkin Collector

Traces

Table 1.2 – Data collection tools

Data collection is only one piece of the extract transform and load process for observability data. The next section introduces tools to transform and load data.

Data storage, processing, and visualization

We’ve grouped data processing, storage, and visualization together, as there are often a lot of crossovers among them. There are certain tools that also provide security monitoring and are closely related. However, as this topic is outside of the scope of this book, we have chosen to exclude tools that are solely in the security space.

Tool Name

Tool Name

Tool Name

AppDynamics

InfluxDB

Sematext

Aspecto

Instana

Sensu

AWS CloudWatch & CloudTrail

Jaeger

Sentry

Azure Application insights

Kibana

Serverless360

Centreon

Lightstep

SigNoz

ClickHouse

Loggly

SkyWalking

Coralogix

LogicMonitor

Solarwinds

Cortex

Logtail

Sonic

Cyclotron

Logz.io

Splunk

Datadog

Mezmo

Sumo Logic

Dynatrace

Nagios

TelemetryHub

Elastic

NetData

Teletrace

GCP Cloud Operations Suite

New Relic

Thanos

Grafana Labs

OpenSearch

Uptrace

Graphite

OpenTSDB

VictoriaMetrics

Graylog

Prometheus

Zabbix

Honeycomb

Scalyr

Zipkin

Table 1.3 – Data storage processing and visualization tools

With a good understanding of the tools available in this space, let’s now look at the ways we can deploy the tools offered by Grafana.

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