DevSecOps and Site Reliability Engineering (SRE): Building a Modern IT Engine

Digital Transformation and Innovation October 25, 2025
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Introduction

A truly modern digital organization demands that software delivery is fast, automated, and intrinsically reliable and secure. This advanced technical and operational course merges the principles of **DevSecOps** (integrating security into the pipeline) and **Site Reliability Engineering (SRE)** (treating operations as a software problem). Participants will learn how to automate the entire value stream—from code commit to secure deployment to production monitoring—to achieve elite performance metrics (e.g., high deployment frequency and low Mean Time To Recovery). This program is the blueprint for running scalable, highly reliable digital services.

Objectives

Upon completion of this course, participants will be able to:

  • Integrate security practices (static analysis, vulnerability scanning) directly into the DevOps Continuous Integration/Delivery (CI/CD) pipeline.
  • Apply core SRE concepts, including Service Level Objectives (SLOs), Error Budgets, and toil reduction.
  • Automate infrastructure management using Infrastructure-as-Code (IaC) tools and version control.
  • Design and implement centralized logging, monitoring, and alerting systems for full system observability.
  • Develop a comprehensive incident response and post-mortem process for driving systemic improvement.
  • Differentiate between DevOps and SRE, and understand the optimal operational model for their organization.
  • Measure and track the four key DORA metrics (Deployment Frequency, Lead Time, MTTR, Change Failure Rate).

Target Audience

  • DevOps and Platform Engineers
  • Security Engineers and Application Security Teams
  • Site Reliability Engineers and Technical Operations Managers
  • Technical Architects and Engineering Directors

Methodology

The methodology is hands-on, deeply technical, and focuses on applying operational frameworks. **Scenarios** involve leading a team through a complex production incident (simulated outage) and subsequent blameless post-mortem. **Case studies** analyze the SRE practices of companies like Google and Netflix, focusing on their use of Error Budgets and Chaos Engineering. **Group activities** focus on drafting a set of clear Service Level Objectives (SLOs) for a critical application. **Individual exercises** require participants to design a DevSecOps flow chart for their current software delivery lifecycle. **Syndicate discussions** debate the organizational politics of enforcing Error Budgets on product development teams.

Personal Impact

  • Master the concepts of SRE and DevSecOps, significantly enhancing technical credibility.
  • Gain the skills to automate and secure the entire software delivery pipeline.
  • Reduce operational stress by implementing robust monitoring and incident response processes.
  • Improve system stability and reliability through SLOs and Error Budget management.
  • Develop expertise in modern infrastructure-as-code and cloud-native practices.

Organizational Impact

  • Achieve elite software delivery performance metrics (DORA) for competitive advantage.
  • Significantly reduce application security vulnerabilities by shifting security left.
  • Increase system uptime and reliability, leading to higher customer satisfaction and revenue.
  • Reduce operational toil, freeing up engineering resources for innovation and feature development.
  • Build a culture of psychological safety through blameless post-mortems and continuous learning.

Course Outline

UNIT 1: The Strategic Link: Speed, Security, and Reliability

Defining the Modern Pipeline
  • The evolution from DevOps to **DevSecOps**: Shifting security left in the SDLC
  • Introduction to **SRE**: Treating operations as a software problem (Google framework)
  • Understanding the Four Key DORA Metrics for measuring elite performance
  • The economic case for reliability: The cost of downtime vs. the cost of toil reduction

UNIT 2: DevSecOps: Security Automation

Embedding Security into the Pipeline
  • Integrating Static Application Security Testing (SAST) and Dynamic Analysis (DAST) into CI/CD
  • Policy-as-Code: Automating security checks and compliance enforcement
  • Managing secrets and credentials securely in a fully automated environment
  • Best practices for continuous vulnerability scanning and patch management

UNIT 3: SRE Principles and Measurement

Error Budgets and Toil Reduction
  • Defining Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs)
  • Implementing the Error Budget concept to manage risk and balance velocity with reliability
  • Strategies for identifying, quantifying, and automating manual operational work (**Toil Reduction**)
  • The role of the SRE team in capacity planning and performance optimization

UNIT 4: Observability, Monitoring, and Incident Response

Knowing When, What, and Why
  • The three pillars of observability: Logs, Metrics, and Traces (Distributed Tracing)
  • Designing a robust alerting strategy (Paging vs. Informational alerts)
  • Structured Incident Response: Roles, communication protocols, and escalation paths
  • The Blameless Post-Mortem: Focusing on system improvements, not individual failure

UNIT 5: Automation and Infrastructure-as-Code (IaC)

Building the Engine
  • Mastering Infrastructure-as-Code (IaC) using tools like Terraform, Ansible, or Chef
  • Designing an automated, immutable deployment pipeline (CI/CD with rollbacks)
  • The strategy of GitOps: Managing infrastructure and application configuration via Git
  • Implementing automated testing strategies: Unit, Integration, and End-to-End tests

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