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Site Reliability Engineering Essentials

Category: Tutorials



Site Reliability Engineering Essentials
Site Reliability Engineering Essentials
Released 1/2025
By Karun Subramanian
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 4h 9m | Size: 930 MB
Master the essentials of Site Reliability Engineering to effectively manage production systems with real-world insights and techniques.




Unlock the power of Site Reliability Engineering (SRE) with this comprehensive video course. SRE is a critical discipline that combines software engineering with IT operations to ensure high system reliability, scalability, and performance. This course provides a deep dive into the core principles and practices of SRE, equipping you with the tools to build reliable systems and improve operational efficiency.
The course covers key SRE concepts, includingService Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets, with practical examples that help you apply these principles to your own organization. You will learn how to build and optimize a robust monitoring and observability system using essential telemetry data, such as logs, metrics, and traces. Through an in-depth exploration of observability platforms, you will learn how to effectively monitor and maintain system health.
The course also addresses crucial aspects of incident management, such as managing on-call duties, running war rooms for critical incidents, and conducting blameless postmortems to learn from failures. Gain insights into reliable system architecture patterns, such as load balancing, auto-scaling, and the CAP theorem, to ensure your infrastructure remains resilient under high traffic.
Additionally, you will discover release management strategies that minimize user impact during deployments, monitor your CI/CD pipeline, and ensure progressive rollouts. The course also guides you through implementing SRE practices within your organization, including setting up a central SRE team and conducting production readiness reviews to ensure your systems are always production ready.
By the end of this course, you will have a solid understanding of SRE best practices and the knowledge to enhance the reliability and scalability of your systems while reducing downtime and improving overall operational efficiency.
Learn How To
Set a strong foundation by implementing core Site Reliability Engineering (SRE) principles to ensure system reliability and performance.
Build and optimize a robust monitoring and observability system using essential telemetry data such as logs, metrics, and traces.
Monitor system health effectively through observability platforms to maintain optimal system performance.
Apply Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets to improve system reliability and performance.
Manage incidents effectively, run war rooms for critical situations, and conduct blameless postmortems to learn from failures.
Design reliable system architectures, including load balancing, auto-scaling, and implementing the CAP theorem for system resilience.
Minimize user impact during software deployments by using release management strategies and ensuring progressive rollouts.
Monitor your CI/CD pipeline to detect issues early and ensure smooth, efficient deployments.
Implement SRE practices within your organization, including setting up a central SRE team and conducting Production Readiness Reviews to ensure systems are always production ready.
Who Should Take This Course
This course is designed for Site Reliability Engineers, DevOps engineers, application support engineers, software engineers and architects, as well as managers and directors of software engineering teams.
About the Instructor
Karun Subramanian is an IT operations expert focusing on modernizing monitoring and observability. With more than 20 years of experience, Karun has helped numerous companies transform their IT operations ecosystem. His expertise includes log aggregation, time series databases, cloud infrastructure, and machine data analytics. He is a Splunk Certified Architect. Karun is the author of the book Practical Splunk Search Processing Language: A Guide for Mastering SPL Commands for Maximum Efficiency and Outcome.
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