Introduction

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本书详细介绍了如何使用Prometheus监控系统进行监控应用程序和基础架构性能的信息，图表和警报。 这本书适用于应用程序开发人员，系统管理员和所有人

Part I. Introduction

• 1. What Is Prometheus?

  2. What Is Monitoring?

  3. • A Brief and Incomplete History of Monitoring

     • Categories of Monitoring

  4. Prometheus Architecture

  5. • Client Libraries

     • Exporters

     • Service Discovery

     • Scraping

     • Storage

     • Dashboards

     • Recording Rules and Alerts

     • Alert Management

     • Long-Term Storage

  6. What Prometheus Is Not

• 2. Getting Started with Prometheus

• • Running Prometheus

  • Using the Expression Browser

  • Running the Node Exporter

  • Alerting

Part II. Application Monitoring

• 3. Instrumentation

• • A Simple Program

  • The Counter

  • • Counting Exceptions

    • Counting Size

  • The Gauge

  • • Using Gauges

    • Callbacks

  • The Summary

  • The Histogram

  • • Buckets

  • Unit Testing Instrumentation

  • Approaching Instrumentation

  • • What Should I Instrument?

    • How Much Should I Instrument?

    • What Should I Name My Metrics?

• 4. Exposition

• • Python

  • • WSGI

    • Twisted

    • Multiprocess with Gunicorn

  • Go

  • Java

  • • HTTPServer

    • Servlet

  • Pushgateway

  • Bridge

  • Parsers

  • Exposition Format

  • • Metrics Types

    • Labels

    • Escaping

    • Timestamps

    • check metrics

• 5. Labels

• • What Are Labels?

  • Instrumentation and Target Labels

  • Instrumentation

  • • Metric

    • Multiple Labels

    • Child

  • Aggregating

  • Label Patterns

  • • Enum

    • Info

  • When to Use Labels

  • • Cardinality

• 6. Dashboarding with Grafana

• • Installation

  • Data Source

  • Dashboards and Panels

  • • Avoiding the Wall of Graphs

  • Graph Panel

  • • Time Controls

  • Singlestat Panel

  • Table Panel

  • Template Variables

Part III. Infrastructure Monitoring

• 7. Node Exporter

• • CPU Collector

  • Filesystem Collector

  • Diskstats Collector

  • Netdev Collector

  • Meminfo Collector

  • Hwmon Collector

  • Stat Collector

  • Uname Collector

  • Loadavg Collector

  • Textfile Collector

  • • Using the Textfile Collector

    • Timestamps

• 8. Service Discovery

• • Service Discovery Mechanisms

  • • Static

    • File

    • Consul

    • EC2

  • Relabelling

  • • Choosing What to Scrape

    • Target Labels

  • How to Scrape

  • • metric_relabel_configs

    • Label Clashes and honor_labels

• 9. Containers and Kubernetes

• • cAdvisor

  • • CPU

    • Memory

    • Labels

  • Kubernetes

  • • Running in Kubernetes

    • Service Discovery

    • kube-state-metrics

• 10. Common Exporters

• • Consul

  • HAProxy

  • Grok Exporter

  • Blackbox

  • • ICMP

    • TCP

    • HTTP

    • DNS

    • Prometheus Configuration

• 11. Working with Other Monitoring Systems

• • Other Monitoring Systems

  • InfluxDB

  • StatsD

• 12. Writing Exporters

• • Consul Telemetry

  • Custom Collectors

  • • Labels

  • Guidelines

Part IV. PromQL

• 13. Introduction to PromQL

• • Aggregation Basics

  • • Gauge

    • Counter

    • Summary

    • Histogram

  • Selectors

  • • Matchers

    • Instant Vector

    • Range Vector

    • Offset

  • HTTP API

  • • query

    • query_range

• 14. Aggregation Operators

• • Grouping

  • • without

    • by

  • Operators

  • • sum

    • count

    • avg

    • stddev and stdvar

    • min and max

    • topl and bottomk

    • quantile

    • count_values

• 15. Binary Operators

• • Working with Scalars

  • • Arithmetic Operators

    • Comparison Operators

  • Vector Matching

  • • One-to-One

    • Many-to-One and group_left

    • Mant-to-Many and Logical Operators

  • Operator Precedence

• 16. Functions

• • Changing Type

  • • vector

    • scalar

  • Math

  • • abs

    • ln,log2,and log10

    • exp

    • sqrt

    • ceil and floor

    • round

    • clamp_max and clamp_min

  • Time and Date

  • • time

    • minute,hour,day_of_week,day_of_month,dats_in_month,month,and year

    • timestamp

  • Labels

  • • label_replace

    • label_join

  • Missing Series and absent

  • Sorting with sort and sort_desc

  • Histograms with histogram_quantile

  • Counters

  • • rate

    • increase

    • irate

    • resets

  • Changing Gauges

  • • changes

    • deriv

    • predict_linear

    • delta

    • idelta

    • holt_winters

  • Aggregation Over Time

• 17. Recording Rules

• • Using Recording Rules

  • When to Use Recording Rules

  • • Reducing Cardinality

    • Composing Range Vector Functions

    • Rules for APIs

    • How Not to Use Rules

  • Naming of Recording Rules

Part V. Alerting

• 18. Alerting

• • Alerting Rules

  • • for

    • Alert Labels

    • Annotations and Templates

    • What Are Good Alerts?

  • Configuring Alertmanagers

  • • External Labels

• 19. Alertmanager

• • Notification Pipeline

  • Configuration File

  • • Routing Tree

    • Receivers

    • Inhibitions

  • Alertmanager Web Interface

Part VI. Deployment

• 20. Putting It All Together

• • Planning a Rollout

  • • Growing Prometheus

  • Going Global with Federation

  • Long-Term Storage

  • Running Prometheus

  • • Hardware

    • Configuration Management

    • Networks and Authentication

  • Planning for Failure

  • • Alertmanager Clustering

    • Meta- and Cross-Monitoring

  • Managing Performance

  • • Detecting a Problem

    • Finding Expensive Metrics and Targets

    • Reducing Load

    • Horizontal Sharding

  • Managing Change

  • Getting Help