دانلود کتاب Datadog Cloud Monitoring Quick Start Guide: Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog

فهرست مطالب :

Datadog Cloud Monitoring Quick Start Guide
Contributors
About the author
About the reviewer
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Get in touch
Reviews
Section 1: Getting Started with Datadog
Chapter 1: Introduction to Monitoring
Technical requirements
Why monitoring?
Proactive monitoring
Implementing a comprehensive monitoring solution
Setting up alerts to warn of impending issues
Having a feedback loop
Monitoring use cases
All in a data center
Application in a data center with cloud monitoring
All in the cloud
Monitoring terminology and processes
Host
Agent
Metrics
Up/down status
Check
Threshold
Monitor
Alert
Alert recipient
Severity level
Notification
Downtime
Event
Incident
On call
Runbook
Types of monitoring
Infrastructure monitoring
Platform monitoring
Application monitoring
Business monitoring
Last-mile monitoring
Log aggregation
Meta-monitoring
Noncore monitoring
Overview of monitoring tools
On-premises tools
SaaS solutions
Cloud-native tools
Summary
Chapter 2: Deploying the Datadog Agent
Technical requirements
Installing the Datadog Agent
Runtime configurations
Steps for installing the agent
Agent components
Agent as a container
Deploying the agent – use cases
All on the hosts
Agent on the host monitoring containers
Agent running as a container
Advanced agent configuration
Best practices
Summary
Chapter 3: The Datadog Dashboard
Technical requirements
Infrastructure List
Events
Metrics Explorer
Dashboards
The main Integrations menu
Integrations
APIs
Agent
Embeds
Monitors
Creating a new metric monitor
Advanced features
Summary
Chapter 4: Account Management
Technical requirements
Managing users
Granting custom access using roles
Setting up organizations
Implementing Single Sign-On
Managing API and application keys
Tracking usage
Best practices
Summary
Chapter 5: Metrics, Events, and Tags
Technical requirements
Understanding metrics in Datadog
Metric data
Flush time interval
Metric type
Metric unit
Query
Tagging Datadog resources
Defining tags
Tagging methods
Customizing host tag
Tagging integration metrics
Tags from microservices
Filtering using tags
Defining custom metrics
Monitoring event streams
Searching events
Notifications for events
Generating events
Best practices
Summary
Chapter 6: Monitoring Infrastructure
Technical requirements
Inventorying the hosts
CPU usage
Load averages
Available swap
Disk latency
Memory breakdown
Disk usage
Network traffic
Listing containers
Viewing system processes
Monitoring serverless computing resources
Best practices
Summary
Chapter 7: Monitors and Alerts
Technical requirements
Setting up monitors
Managing monitors
Distributing notifications
Configuring downtime
Best practices
Summary
Section 2: Extending Datadog
Chapter 8: Integrating with Platform Components
Technical requirements
Configuring an integration
Tagging an integration
Reviewing supported integrations
Implementing custom checks
Best practices
Summary
Chapter 9: Using the Datadog REST API
Technical requirements
Scripting Datadog
curl
Python
Reviewing Datadog APIs
Public cloud integration
Dashboards
Downtime
Events
Hosts
Metrics
Monitors
Host tags
Programming with Datadog APIs
The problem
Posting metric data and an event
Creating a monitor
Querying the events stream
Best practices
Summary
Chapter 10: Working with Monitoring Standards
Technical requirements
Monitoring networks using SNMP
Consuming application metrics using JMX
Cassandra as a Java application
Using Cassandra integration
Accessing the Cassandra JMX interface
Working with the DogStatsD interface
Publishing metrics
Posting events
Best practices
Summary
Chapter 11: Integrating with Datadog
Technical requirements
Using client libraries
REST API-based client libraries
DogStatsD client libraries
Evaluating community projects
dog-watcher by Brightcove
kennel
Managing monitors using Terraform
Ansible modules and integration
Developing integrations
Prerequisites
Setting up the tooling
Creating an integration folder
Running tests
Building a configuration file
Building a package
Deploying an integration
Best practices
Summary
Section 3: Advanced Monitoring
Chapter 12: Monitoring Containers
Technical requirements
Collecting Docker logs
Monitoring Kubernetes
Installing the Datadog Agent
Using Live Containers
Viewing logs using Live Tail
Searching container data
Best practices
Summary
Chapter 13: Managing Logs Using Datadog
Technical requirements
Collecting logs
Collecting logs from public cloud services
Shipping logs from containers
Shipping logs from hosts
Filtering logs
Scrubbing sensitive data from logs
Processing logs
Archiving logs
Searching logs
Best practices
Summary
Chapter 14: Miscellaneous Monitoring Topics
Technical requirements
Application Performance Monitoring (APM)
Sending traces to Datadog
Profiling an application
Service Map
Implementing observability
Synthetic monitoring
Security monitoring
Sourcing the logs
Defining security rules
Monitoring security signals
Best practices
Summary
Why subscribe?
Other Books You May Enjoy
Packt is searching for authors like you
Leave a review - let other readers know what you think