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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.

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Linux

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Intermediate

Difficulty

30 Hours

Course Duration

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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

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BrandLinux
SubjectsCloud Computing
Lab AccessNo
TechnologyLinux
Learning StyleSelf-Paced Learning
Learning TypeCourse
DifficultyIntermediate
Course Duration30 Hours
LanguageEnglish

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Course Expert:

Author

Paul Jackson

 

Paul has over 2 decades of of technical experience as a senior engineer, operations manager & project lead.
He has had hands-on impact within internal IT infrastructure, as well as in hundreds of unique customer environments that resulted in an in-depth knowledge of a wide range of security, identity, cloud, and infrastructure products & features; and a breadth of knowledge in associated network devices and applications.

His specialties include:

Identity, AD, Azure AD, Azure AD Connect, Azure MFA, ADFS, WAP, e-Gap, IAG, UAG, Firewalls, DirectAccess, Load balancers, PKI, Troubleshooting application and network issues, quickly learning new applications/technologies, building and leading tech teams, project management, creating scalable processes.

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