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Labs

Ensuring Reliability and Safe Production Rollouts in Google Cloud

This hands-on lab demonstrates how reliability issues can arise in a production-like web application deployed on Google Cloud due to misconfigured health checks and network controls. It explores how load balancer behavior depends on accurate health signals and proper firewall configuration to route traffic effectively. The lab also highlights the risks of unsafe deployment strategies that can introduce downtime during updates. By modifying the infrastructure configuration, the environment is transitioned to a reliable architecture with correct health checks, proper network access, and a safe rolling update strategy that ensures continuous availability.

Lab platform
Lab Info
Level
Intermediate
Last updated
Apr 03, 2026
Duration
1h 0m

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Table of Contents
  1. Challenge

    Analyze and Identify Reliability Issues in a Production-Like Google Cloud Environment
    • Focus on visibility and signals by examining load balancer status, backend health status to detect abnormal patterns and identify symptoms of failure.
    • Establish relationships between components by mapping how networking, health checks, and instance group configurations interact to understand where inconsistencies or mismatches may exist.
  2. Challenge

    Restore Service Availability by Correcting Network and Health Check Misconfigurations
    • Target identified misconfigurations with precise validation by focusing on firewall rules, health check settings, and instance tagging to address the root causes impacting instance health.
    • Confirm recovery through observable system behavior by verifying backend health status, successful health checks, and restored traffic flow after applying configuration changes.
  3. Challenge

    Implement a Safe Rollout Strategy to Maintain Availability During Application Updates
    • Leverage controlled rollout mechanisms such as managed instance group update policies (max surge and max unavailable) to ensure new instances are introduced without taking the service offline.
    • Preserve availability during transitions by validating health before promotion, ensuring that only healthy instances receive traffic while updates are gradually applied across the group.
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