OBSERVABILITY FOUNDATION

OBSERVABILITY FOUNDATION

Course Duration

16.0 hr(s)

Who Should Attend

  • Anyone focused on large-scale service scalability and reliability
  • Anyone interested in modern IT leadership and organizational change approaches

Course Overview

Microservices and Cloud-Native architectures have been goals of many organizations to help increase speed and agility, but as complexity grows, systems become increasingly challenging to observe. When issues occur, these issues are often difficult to triage and identify the root causes. This course introduces a range of practices for advancing resilience and how to architect end-to-end Observability for Cloud-Native applications. The advantages of building full-stack metrics, events, logs, and distributed tracing are introduced, along with the impact of DevSecOps on Observability and how AIOPs enhance Observability capabilities. This course also covers how Network and Security Observability plays a key role in building reliability, the key aspects of security operations and automated responses are covered,

The course aims to equip participants with the practices, methods, and tools to engage people across the organization involved in Observability by using real-life scenarios and case stories. Upon completion of the course, participants will have tangible takeaways to leverage situations such as implementing MELT models effectively, that fit their organizational context, building distributed tracing and resiliency by design.

The course is developed by leveraging key experts in the fields of telemetry, sources of knowledge and engaging with thought-leaders in the Observability space, and working with organizations who have crossed the chasm of modern Observability to extract real-life best practices.

This course positions learners to successfully complete the Observability Foundation certification exam.

Course Schedule

Next available schedule

Course Objectives

At the end of the course, the following learning objectives are expected to be

achieved:

  • Practical view of how to successfully implement a flourishing Observability culture in your organization
  • The underlying principles of Observability and an understanding why monitoring on its own will not provide the required results in microservices based containerized environments
  • Understanding the three pillars of Observability
  • Adopting open Telemetry standards helps achieve innovation and distributed tracing in a seamless manner
  • Observability Maturity Model and the measurement of practical observability
  • Implementing full stack Observability and distributed tracing will enable a DevSecOps culture
  • Curating Observability using AI to move from reactive to proactive and predictive incident
  • management.
  • Implementing Network, Container level Observability and why is security a first class citizen in building the Observability culture
  • What is Time based Topology, and how does it add value in Observability for a distributed environment
  • The Data paradox and how we address data issues using a systematic approach (DataOps) to build a clean Observability pipeline
  • How do we feedforward DevSecOps wisdom into Observability
  • Observability practices for DevSecOps and SRE

Pre-requisites

  • Knowledge, Skills & Experience

It is highly recommended that learners attend the SRE Foundation course with an accredited DevOps Institute Education Partner and earn the SRE Foundation certification prior to attending the SRE Practitioner course and exam. An understanding and knowledge of common SRE terminology, concepts, principles and related work experience are recommended.

  • Hardware & Software
    • This course will be conducted as a Virtual Live Class (VLC) via Zoom platform.
    • Participants must own a Zoom account and have a laptop or a desktop with “Zoom Client for Meetings” installed. Download from zoom.us/download.

System Requirement

Must-have:

Please ensure that your computer or laptop meets the following requirements.

  • Operating system: Windows 10 or MacOS (64 bit or above)
  • Processor/CPU: 1.8 GHz, 2-core Intel Core i3 or higher
  • Minimum 20 GB hard disk space
  • Minimum 8 GB RAM
  • Webcam (camera must be turned on for the duration of the class)
  • Microphone
  • Internet Connection: Wired or Wireless broadband
  • Latest version of Zoom software to be installed on computer or laptop prior to the class.

Good-to-have:

  • Wired internet connection
    Wired internet will provide you with stable and reliable connection.
  • Dual monitors
    Using a dual monitor setup will undoubtedly improve your training experience, enabling you to simultaneously participate in hands-on exercises and maintain engagement with your instructor.

Not recommended:
Using tablets are not recommended due to their smaller screen size, which could cause eye strain and discomfort over the course of the program's duration.

Course Outline

Module 1: Exploring Observability

  • Introduction to observability
  • Difference between monitoring and observability
  • Why observability is important
  • Understanding the observability maturity model

Module 2: Pillars of Observability

  • Logs, metrics, and traces as the three pillars of observability
  • Collecting and analyzing logs
  • Creating and analyzing metrics
  • Using tracing to understand request flows

Module 3: Open-Source Landscape for Observability

  • Overview of open-source observability tools
  • Comparing and contrasting different open-source tools
  • Understanding the strengths and weaknesses of different tools
  • How to choose the right open-source tool for your needs

Module 4: Service Maps and Topology

  • Creating service maps and topology diagrams
  • Understanding how services interact with each other
  • Visualizing dependencies and relationships
  • Using service maps and topology to troubleshoot issues

Module 5: DataOps Helps Get Observability Right

  • Introduction to DataOps
  • The importance of data quality in observability
  • The role of data pipelines in observability
  • Best practices for building effective data pipelines

Module 6: Building Observability with AIOps

  • Introduction to AIOps
  • Understanding the benefits of AIOps in observability
  • How to implement AIOps in observability
  • Using machine learning to automate observability tasks

Module 7: Security and Networking with Observability

  • How observability can improve security
  • Understanding network performance with observability
  • Monitoring network traffic
  • Detecting and responding to security incidents

Module 8: Observability Practices for DevOps and SRE

  • Best practices for integrating observability into DevOps and SRE workflows
  • Creating alerts and notifications
  • Understanding SLAs and SLOs
  • How to use observability to continuously improve the software delivery process

Certificate Obtained and Conferred by

  • Certificate of Completion from NTUC LearningHub 
    Upon meeting 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from NTUC LearningHub.
  • External Certification Exam
    After completing this course with at least 75% attendance and upon passing the official “DevOps Observability Foundation” certification exam, candidates will receive a Certified Observability Foundation certification from DevOps Institute. The certification is governed and maintained by DevOps Institute.

Additional Details

Medium of Instruction: English
Trainer to trainee ratio:
1:20

Mode of Delivery:
Virtual Live Class (VLC) via Zoom

Price:

Course Fee

 

Course Fee

 

Individual Sponsored Trainee

Company Sponsored Trainee

before GST

with GST

before GST

with GST

Full Course Fee

$1,400.00

$1,526.00

$1,400.00

$1,526.00

Terms & Conditions apply. NTUC LearningHub reserves the right to make changes or improvements to any of the products described in this document without prior notice.

Prices are subject to other LHUB miscellaneous fees.

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