DevOps Institute: Observability Foundation Training in Australia

Modern Microservices and Cloud-Native Architectures have enabled organizations to increase agility and accelerate software delivery. However, as distributed systems grow in complexity, traditional monitoring approaches are no longer sufficient to provide complete visibility into application behavior and infrastructure performance. Organizations increasingly rely on Observability practices to understand system health, identify root causes, and improve operational resilience.

The DevOps Institute Observability Foundation course provides a comprehensive introduction to modern observability concepts, frameworks, and best practices. Participants will learn how to leverage Metrics, Events, Logs, and Traces (MELT) to build end-to-end observability solutions that support reliable and scalable digital services.

The program also explores the integration of DevSecOps, AIOps, Distributed Tracing, Network Observability, Security Observability, and Site Reliability Engineering (SRE) practices into a modern observability ecosystem.

This course prepares learners for the Observability Foundation Certification Exam while providing practical knowledge that can be applied immediately within enterprise environments.

Although there are no mandatory prerequisites, the following knowledge is recommended:

• Basic DevOps understanding
• Familiarity with cloud environments
• Awareness of microservices architectures
• Experience with monitoring and operational processes
• Completion of SRE Foundation training (recommended)

This course is ideal for:

• DevOps Engineers
• Site Reliability Engineers (SREs)
• Software Engineers
• IT Managers
• IT Directors
• Product Owners
• Scrum Masters
• System Integrators
• Business Stakeholders
• Consultants
• Change agents and transformation leaders
• Operations and security professionals

By the end of this course, learners will be able to:

• Establish a strong Observability Culture within their organization.
• Understand the differences between monitoring and observability.
• Apply the Three Pillars of Observability.
• Utilize OpenTelemetry standards.
• Implement Distributed Tracing across modern systems.
• Evaluate organizational observability maturity.
• Integrate observability into DevSecOps practices.
• Leverage AIOps for proactive and predictive operations.
• Design network and security observability solutions.
• Apply DataOps principles to improve telemetry quality.

Observability Fundamentals

Introduction to Observability

• What is Observability?
• Monitoring versus Observability
• Why modern systems require observability
• Challenges of Cloud-Native environments
• Visibility across microservices architectures

Building an Observability Culture

• Organizational transformation
• Creating an observability mindset
• Aligning business and IT teams
• Operational visibility strategies

The Three Pillars of Observability

Metrics

• Performance metrics
• System health indicators
• Operational KPIs

Logs

• Log management
• Centralized logging
• Event analysis

Traces

• Distributed Tracing
• Transaction tracking
• Service dependency analysis

The MELT Framework

Metrics, Events, Logs & Traces

• MELT Model
• End-to-end visibility
• Telemetry collection strategies
• Observability pipeline design

OpenTelemetry and Modern Telemetry

OpenTelemetry Standards

• OpenTelemetry
• Telemetry collection and instrumentation
• Standardized observability approaches
• Vendor-neutral integrations

Observability Maturity Model

Measuring Observability Success

• Maturity levels
• Organizational assessments
• Continuous improvement strategies
• Success metrics

Full Stack Observability

End-to-End Visibility

• Infrastructure observability
• Application observability
• Service dependency mapping
• User experience visibility

DevSecOps and Observability

Security and Operations Integration

• DevSecOps
• Security telemetry
• Security event monitoring
• Automated response mechanisms

Feedforward DevSecOps Practices

• Integrating DevSecOps intelligence into observability
• Continuous feedback and improvement

AIOps and Intelligent Operations

AI-Powered Observability

• AIOps
• Anomaly detection
• Proactive incident management
• Predictive operations

Network and Security Observability

Network Observability

• Network telemetry
• Traffic visibility
• Network performance analysis

Security Observability

• Security event monitoring
• Threat visibility
• Security operations
• Incident response support

Time-Based Topology

Dynamic System Topology

• Time-based topology visualization
• Service relationship mapping
• Distributed environment visibility

DataOps and Data Quality

Understanding the Data Paradox

• Data complexity challenges
• Data reliability concerns
• Improving telemetry quality

DataOps Principles

• DataOps
• Building clean observability pipelines
• Managing telemetry workflows

SRE and Observability

Site Reliability Engineering Practices

• SRE Principles
• Reliability engineering
• Error budgets
• Operational excellence

Observability Certification Preparation

• Observability Foundation exam domains
• Case studies and practical examples
• Industry best practices
• Real-world implementation scenarios