Site Reliability Engineering you own this product

prerequisites
Linux command line • work with JSON and YAML manifests
skills learned
implement Server Reliability Engineering (SRE) with SLIs, SLOs, and SLAs
Sambasiva Andaluri
1 week · 4-6 hours per week · BEGINNER
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As an enterprise architect at Padre Inc., which runs its cloud operations on AWS, it’s up to you to manage multi-cloud operations for Tiddler Inc., a startup using Google Cloud that Padre has acquired for its SaaS project. Your task is to implement error budgeting to achieve a predefined service-level objective (SLO) and balance the deployment of new features with the reliability of the services in production. Using tools including Elasticsearch, Kibana, and Logstash, you’ll create an error budget policy and you’ll calculate burn rate, which indicates how quickly the budget is expended. You’ll use Kibana to implement a dashboard that uses burn rate data when creating the alerts product owners rely on for ensuring that service reliability meets service-level agreements (SLAs) when releasing new features. When you’re finished, you’ll have hands-on experience with valuable site reliability engineering (SRE) skills and concepts that you can apply to real-world projects.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Sambasiva Andaluri

Sambasiva Andaluri is an experienced software developer/architect. He started his career as a Fortran IV programmer and over the past 30 years developed several software products for various companies in India, the UK, Germany, and the US. Currently, he works for IBM as a Principal HPC Architect.

prerequisites

This liveProject is for solutions architects and developers with basic knowledge of AWS or Google Cloud Platform, the Linux command line, Kubernetes, JSON, and YAML. To begin these liveProjects you’ll need to be familiar with the following:

TOOLS
  • ELK stack on Kubernetes (setup instructions provided)
  • Google Kubernetes Engine
TECHNIQUES
  • Kibana KQL
  • Kibana dashboard UI

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