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Observability Foundation
Duration
2 Days
Course
PCDO-OBF
Available Formats
Classroom Training, Online Training
Course Description
Overview
Microservices and cloud-native architectures have been adopted by many organizations to 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 to advance resilience and explains how to architect end-to-end observability for cloud-native applications. The course covers the advantages of building full-stack metrics, events, logs, and distributed tracing, augmented by AI, along with the impact of DevSecOps on observability and how AIOps enhances observability capabilities. This course also explains how network and security observability play a key role in building reliability and covers key aspects of security operations and automated responses.The course aims to equip participants with the practices, methods, and tools needed to engage people across the organization in observability, using real-life scenarios and case studies. Upon completion of the course, participants will have tangible takeaways to effectively leverage solutions such as MELT models that fit their organizational context, build distributed tracing and resiliency by design, and enhance these capabilities with AI. The course was developed by leveraging key experts in the fields of telemetry, up-to-date sources of knowledge, and by engaging with thought leaders in the observability space, as well as working with organizations that have advanced modern observability to extract real-life best practices.
Objectives
The learning objectives for the Observability Foundationcourse include a practical understanding 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
- The underlying principles of observability and why monitoring alone does not provide the required results in microservices-based, containerized environments.
- The three pillars of observability.
- How adopting OpenTelemetry standards helps achieve innovation and enables seamless distributed tracing.
- The observability maturity model and methods for measuring practical observability.
- How implementing full-stack observability and distributed tracing, together with AI, enables a modern DevSecOps culture and solutions.
- to leverage observability using AI to move from reactive to proactive and predictive incident management, and how to use DataOps to build a clean data lineage of observable data.
- How to implement network- and container-level observability, and why security is a first-class citizen in building an observability culture.
- The concept of time-based topology and its value in observability for distributed environments.
- The data paradox, and how to address data issues using a systematic approach (DataOps) to build a clean observability pipeline.
- How to incorporate DevSecOps wisdom into observability practices.
- Observability practices for DevSecOps and SRE.
Audience
The target audience for the Observability Foundation course are professionals including:
- Anyone focused on large-scale service scalability and reliability
- Anyone interested in modern IT leadership and organizational change approaches
- Business Managers
- Business Stakeholders
- Change Agents
- Consultants
- DevOps Practitioners
- IT Directors
- IT Managers
- IT Team Leaders
- Security leaders and practitioners
- Product Owners
- Scrum Masters
- Software Engineers
- Site Reliability Engineering leaders and practitioners
- System Integrators
- Tool Providers
Prerequisites
-
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 Observability Foundation course and exam. An understanding and knowledge of common SRE terminology, concepts, principles and related work experience are recommended.
Topics
Introduction
Module 1: Exploring observability
- What is observability?
- Why is observability important?
- Why is traditional monitoring not enough?
- Observability Maturity Model
- Telemetry
- Three pillars of observability
- Logs
- Metrics
- Traces
- Elements of observability
- Clarifying OpenTelemetry
- Understanding the open-source ecosystem
- Service maps
- Topology
- Time travel topology
- Escalation graphs
- Observability and the data paradox
- Why observability needs DataOps
- Data ownership and governance
- Data privacy and observability
- Enterprises platforms and AIOps
- AI/ML use cases
- Observing security
- Container security
- Network observability
- Visibility and integration
- Observability indicators
- Dashboards and visualization
- Chaos engineering
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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