Prometheus Up Running Infrastructure and Application Performance Monitoring 1st Edition by Brian Brazil ISBN 1492034142 9781492034148

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Product details:
ISBN 10: 1492034142
ISBN 13: 9781492034148
Author: Brian Brazil

Get up to speed with Prometheus, the metrics-based monitoring system used by tens of thousands of organizations in production. This practical guide provides application developers, sysadmins, and DevOps practitioners with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters.
This open source system has gained popularity over the past few years for good reason. With its simple yet powerful data model and query language, Prometheus does one thing, and it does it well. Author and Prometheus developer Brian Brazil guides you through Prometheus setup, the Node exporter, and the Alertmanager, then demonstrates how to use them for application and infrastructure monitoring.
• Know where and how much to apply instrumentation to your application code
• Identify metrics with labels using unique key-value pairs
• Get an introduction to Grafana, a popular tool for building dashboards
• Learn how to use the Node Exporter to monitor your infrastructure
• Use service discovery to provide different views of your machines and services
• Use Prometheus with Kubernetes and examine exporters you can use with containers
• Convert data from other monitoring systems into the Prometheus format

Prometheus Up Running Infrastructure and Application Performance Monitoring 1st Edition Table of contents:

Part I. Introduction
Chapter 1. What Is Prometheus?
What Is Monitoring?
A Brief and Incomplete History of Monitoring
Categories of Monitoring
Prometheus Architecture
Client Libraries
Exporters
Service Discovery
Scraping
Storage
Dashboards
Recording Rules and Alerts
Alert Management
Long-Term Storage
What Prometheus Is Not
Chapter 2. Getting Started with Prometheus
Running Prometheus
Using the Expression Browser
Running the Node Exporter
Alerting
Part II. Application Monitoring
Chapter 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?
Chapter 4. Exposition
Python
WSGI
Twisted
Multiprocess with Gunicorn
Go
Java
HTTPServer
Servlet
Pushgateway
Bridges
Parsers
Exposition Format
Metric Types
Labels
Escaping
Timestamps
check metrics
Chapter 5. Labels
What Are Labels?
Instrumentation and Target Labels
Instrumentation
Metric
Multiple Labels
Child
Aggregating
Label Patterns
Enum
Info
When to Use Labels
Cardinality
Chapter 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
Chapter 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
Chapter 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
Chapter 9. Containers and Kubernetes
cAdvisor
CPU
Memory
Labels
Kubernetes
Running in Kubernetes
Service Discovery
kube-state-metrics
Chapter 10. Common Exporters
Consul
HAProxy
Grok Exporter
Blackbox
ICMP
TCP
HTTP
DNS
Prometheus Configuration
Chapter 11. Working with Other Monitoring Systems
Other Monitoring Systems
InfluxDB
StatsD
Chapter 12. Writing Exporters
Consul Telemetry
Custom Collectors
Labels
Guidelines
Part IV. PromQL
Chapter 13. Introduction to PromQL
Aggregation Basics
Gauge
Counter
Summary
Histogram
Selectors
Matchers
Instant Vector
Range Vector
Offset
HTTP API
query
query_range
Chapter 14. Aggregation Operators
Grouping
without
by
Operators
sum
count
avg
stddev and stdvar
min and max
topk and bottomk
quantile
count_values
Chapter 15. Binary Operators
Working with Scalars
Arithmetic Operators
Comparison Operators
Vector Matching
One-to-One
Many-to-One and group_left
Many-to-Many and Logical Operators
Operator Precedence
Chapter 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, days_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
Chapter 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
Chapter 18. Alerting
Alerting Rules
for
Alert Labels
Annotations and Templates
What Are Good Alerts?
Configuring Alertmanagers
External Labels
Chapter 19. Alertmanager
Notification Pipeline
Configuration File
Routing Tree
Receivers
Inhibitions
Alertmanager Web Interface
Part VI. Deployment
Chapter 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
Index

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