- Lab
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- Cloud
SRE with SLOs and Error Budgets
In this Hands-on Cloud Lab, you will apply Site Reliability Engineering (SRE) practices by defining Service Level Objectives (SLOs) and managing error budgets in Google Cloud. You will begin by analyzing a deployed service to establish baseline reliability metrics using Cloud Monitoring. Next, you will define Service Level Indicators (SLIs) and create Service Level Objectives (SLOs) that represent reliability targets for the service. Finally, you will intentionally introduce conditions that degrade reliability and observe how error budgets are consumed and how alerting policies respond when service reliability falls below the defined targets. By completing this lab, you will gain practical experience implementing SRE reliability practices and understand how SLOs and error budgets support data-driven operational decisions in modern cloud environments.
Lab Info
Table of Contents
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Challenge
Establish baseline reliability metrics for a service
- Analyze an existing service running in Google Cloud to understand its current reliability behavior.
- Using Cloud Monitoring metrics, examine service performance and availability to establish baseline reliability indicators before defining reliability targets.
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Challenge
Define SLIs and create SLOs using Cloud Monitoring
- Identify appropriate Service Level Indicators (SLIs) that measure service reliability and use them to define Service Level Objectives (SLOs) in Cloud Monitoring. These objectives establish measurable reliability targets that guide operational expectations for the service.
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Challenge
Observe error budget burn and alert behavior
- Simulate conditions that reduce service reliability and observe how error budgets are consumed.
- Monitor how Cloud Monitoring alerts respond when the service begins to burn through its error budget, demonstrating how SRE practices support proactive reliability management.
Real skill practice before real-world application
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