The Site Reliability Engineer | OEM Learning Journey helps you build the knowledge and skills needed to design, monitor and improve reliable, scalable and manageable IT systems. Site Reliability Engineering combines software engineering and IT operations to keep systems stable, efficient and ready for growth.
This Learning Journey covers automation, monitoring, incident management, capacity planning, cloud and container architectures, CI/CD, log management, service discovery, Data Reliability Engineering and generative AI for IT automation. You will learn how to automate operational processes, measure reliability, analyze incidents and manage software and data systems at scale.
This training is ideal for IT professionals who want to progress into roles such as Site Reliability Engineer, DevOps Engineer, Chaos Engineer, Platform Engineer or Reliability Specialist.
This Learning Journey is suitable for:
This track shows how to progress from Network Admin to DevOps Engineer, Chaos Engineer and ultimately Site Reliability Engineer. You will explore how software engineering and IT operations work together to create scalable and reliable software systems.
This track covers:
Topics include OS deployment, backup and recovery, monitoring distributed systems, SRE scenario planning, build and release engineering, automation, SRE postmortem culture, cloud and container architectures, troubleshooting, emergency response, incident handling, reliability testing, load balancing, cascading failures, distributed reliability, data pipelines, operational loads, communication, collaboration and software reliability metrics.
The SRE/DRE Toolbox is a structured learning journey designed to build foundational and advanced competencies in Site Reliability Engineering and Data Reliability Engineering. Topics include SRE principles and best practices, monitoring and alerting, incident management, log management and analytics, capacity planning, CI/CD, service discovery, cloud services, multi-cloud strategies and data reliability engineering.
This track includes:
You will learn how to build and operate reliable services, manage incidents in a structured way, apply performance planning, use tools for modern distributed environments and design trustworthy data systems for analytics and decision-making.
This track provides IT professionals with the knowledge and skills to use generative AI in IT automation and Site Reliability Engineering. You will learn the fundamentals of generative AI, including its tools, applications and advanced techniques for enhancing SRE practices.
The track also addresses responsible AI use, ethical considerations and awareness of biases. You will work on integrating AI tools with IT automation systems and developing AI-powered solutions for server monitoring and log analysis.
