Effective Site Reliability Engineering (SRE)
Three Dimensions of Effective SRE
Effective SRE is “The application of a systematic, holistic, disciplined approach to the definition, evaluation and cost-effective assurance of Service Level Objectives in the context of High-Speed Software Delivery and complex distributed systems”
The Three Dimensions are :
- SLO Engineering: systematic definition, evaluation, and assurance of service level objectives, which are quantifiable goals that an application or service aims to achieve.
- Continuous Delivery: automation of software development processes to enable frequent and reliable releases of software. It encompasses practices like continuous integration and continuous deployment, which help in accelerating software delivery while maintaining quality and budget.
- Operations Efficiency: aims at reducing complexity and increasing efficiency in operations and incident management. It leverages AI, cloud-native stacks, and CI/CD tooling capabilities to improve the reliability and performance of services.
Components of Our Effective SRE Approach
Reliability Engineering + SLO Engineering
Reliability Engineering ensures robustness, while SLO Engineering quantifies and maintains the desired level of service quality. By combining these practices, we build resilient, user-centric systems.
Why learn Effective SRE skills today?
Explore our eight compelling reasons, and if you too are convinced that Effective SRE is the way to go
Effective SRE Training
Ensure Key Capabilities and Skills for a Successful Site Reliability Engineering Adoption with our Training Offering
Why is it more important than ever to develop scalable, secure, and reliable software systems?
If you want to scale, there is no way around the cloud.
SRE is the key capability for your DevOps or Cloud journey.
However, understanding how to apply the SRE principles and practices is complex. They can be applied to DevOps and Continuous Delivery for general software systems or to MLOps for machine learning system development and operations.
Best in-class companies trust in the SRE principles.
Google is both a frontrunner and prime example of how to implement SRE. However, what works for Google, may not work for other companies in the same way, especially for those not born in the cloud.
Deploy faster, easier, and more reliably.
Our comprehensive “Effective SRE” training takes you through all aspects of modern SRE and teaches you how to effectively apply these vital hard and soft skills in your work and architecture. The principles and practices of Effective SRE are introduced in dedicated sessions, followed by hands-on labs structured in a storyline that takes an App from simple deployment to Continuous Delivery & Verification with Observability based SLO Engineering and Operations Efficiency along the way.
Our Offer
We offer comprehensive and practical trainings with an effective and entertaining mix of theory and labs.
Our training is devlopped and delivered by industry-experienced SRE experts and includes the principles and practices of the thought-leading “Effective SRE”. It consists of hands-on labs structured in a storyline that takes an app from simple deployment to continuous delivery and verification with observability-based SLO engineering and operations efficiency.
You can benefit from our holistic experience in consulting, engineering, and training to implement custom-tailored training programmes for you, that are adapted to the needs of your organization and environment. The modules listed here are non-exhaustive options.
Training Content Options
- SRE Fundamentals
- SLOs, SLIs & Monitoring
- Operations Efficiency
- Observability & AIOps
- Advanced Practices & Architecture Patterns
- Building & Automating CD Pipelines
- Continuous Verification (CV)
- Scheduling & Provisioning
- Security & Automation
- On-Call & SRE Culture
Prerequisites for the Training
- Understanding of Software Engineering (OOP, Scripting, as a code, …)
- Basic System Engineering Skills (OS, Network, Deployment, Security, Monitoring, …)
- Advantageous: Performance Analysis, Release Engineering, APM / Infra Monitoring, Distributed/Reliable Architecture Design