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Cloud Native Logging with Fluentd (LFS242)

This course is designed to introduce individuals with a technical background to the Fluentd log forwarding and aggregation tool for use in Cloud Native Logging and provide them with the skills necessary to deploy Fluentd in a wide range of production settings.

Self-Paced

Learning Style

Intermediate

Difficulty

30 Hours

Course Duration

Course Info

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This course is designed to introduce individuals with a technical background to the Fluentd log forwarding and aggregation tool for use in Cloud Native Logging and provide them with the skills necessary to deploy Fluentd in a wide range of production settings.

Course Information

About this Course:

With the growth of large scale, distributed systems the challenges of managing logs has become acute. It is increasingly common to have thousands of nodes and tens of thousands of services all emitting data which needs to be attributed, normalized and aggregated i.e. “logged”. This course is designed to introduce individuals with a technical background to the Fluentd log forwarding and aggregation tool for use in Cloud Native Logging. Known as the “unified logging layer”, Fluentd provides fast and efficient log transformation and enrichment, as well as aggregation and forwarding.

In this course you will explore the full range of Fluentd features, from installing fluentd to running fluentd in a container, and from using fluentd as a simple log forwarder to using fluentd as a sophisticated log aggregator and processor. Upon completion you will have the skills necessary to deploy Fluentd in a wide range of production settings.

Course Objectives:

  • Install and configure Fluentd in Cloud Native environments
  • Configure Fluentd to process log data from multiple inputs
  • Configure Fluentd to filter and transform data
  • Configure Fluentd to distribute log data to various backends
  • Configure Fluentd for high availability and high performance

Prerequisites:

  • Some familiarity with logging and log management is helpful
  • Familiarity with Linux system administration
  • Labs require a minimal Ubuntu 16.04 system with Docker installed

Outline

More Information

More Information
Brand Linux
Subjects Cloud Computing
Lab Access No
Technology Linux
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 30 Hours
Language English

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