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- Cloud
Google Cloud Core Compute
1 Lab
1 Hours
Skill IQ
Build practical Google Cloud compute fluency by learning how to configure, operate, troubleshoot, and evaluate Compute Engine instances, autoscaled Compute Engine workloads, Cloud Run functions, and Cloud Run services.
Choose this path if you already understand basic Google Cloud concepts and need a clearer working model for when to use instance-based, serverless, or containerized compute in real operational scenarios.
Content in this path
Google Cloud Core Compute
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What You'll Learn
- 1. Configure and validate Compute Engine workloads, including instance configuration, access paths, lifecycle actions, reusable deployment patterns, and common recovery steps
- 2. Operate autoscaled and managed compute patterns using managed instance groups, an external Application Load Balancer, Cloud Run functions invocation behavior, and Cloud Run service health signals
- 3. Recognize when Compute Engine, Cloud Run functions, Cloud Run services, or Google Kubernetes Engine best fits a workload based on control requirements, operational burden, scaling model, and container orchestration needs.
Prerequisites
- You should be comfortable navigating the Google Cloud console and understand foundational Google Cloud concepts such as regions, zones, IAM roles and service accounts, VPC networks, subnets, firewall rules, Persistent Disks, and basic Cloud Monitoring metrics. This path assumes practitioner-level Google Cloud fluency and is designed for learners moving toward cloud engineering, infrastructure operations, platform engineering, DevOps, SRE, or architecture roles that require a dependable working knowledge of Google Cloud compute services.
Related topics
- Google Cloud Core Compute
- Google Cloud Networking
- Google Cloud Persistent Storage
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