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Mastering GSP313: Step-by-Step Guide to Implementing Load Balancing on Google Cloud Compute Engine.
- The article provides a step-by-step guide for mastering GSP313, which involves implementing load balancing on Google Cloud Compute Engine.
- The author shares their experience with the Google Cloud Associate Cloud Engineer exam and the GET Certified Program by Google Cloud Skills Boost.
- The lab covered in the article, GSP313, focuses on tasks like creating an instance and setting up an HTTP load balancer for web servers.
- Prerequisites include an active Qwiklabs subscription or Google Cloud free trial, credits on Google Cloud Skills Boost, and basic knowledge of Google Cloud CLI and Compute Engine.
- Task 1 involves creating a project jumphost instance using commands like gcloud compute instances create.
- Task 2 guides on setting up an HTTP load balancer with a managed instance group of 2 Nginx web servers.
- Steps include creating instance templates, target pools, managed instance groups, firewall rules, forwarding rules, health checks, backend services, URL maps, target HTTP proxies, and forwarding rules.
- Completing the tasks involves running scripts, creating components like instance templates and target pools, and setting up rules for load balancing.
- The guide aims to assist aspiring Google Cloud Associate Cloud Engineers, beginners, and those preparing for hands-on labs.
- The comprehensive tutorial covers key commands and configurations required to successfully complete the load balancing challenge lab.
- The article concludes with a hope to have provided clarity on the process and terms involved in implementing load balancing on Google Cloud Compute Engine.
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