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GCP Fundamentals: Compute Engine API
- The Compute Engine API is a RESTful interface that allows for the creation, management, and destruction of VMs within Google Cloud Platform, enabling automation and Infrastructure as Code.
- It provides access to resources like instances, disks, networks, and firewalls, with integration with IAM, Cloud Logging, and VPC.
- Benefits include speed, scalability, consistency, cost optimization, and version control, with use cases like disaster recovery, CI/CD pipelines, and batch processing.
- Key features cover instance, image, disk, networking, machine types, templates, groups, metadata, console, and security enhancements.
- Detailed use cases include DevOps staging, ML training clusters, ETL pipelines, IoT edge computing, autoscaling web tiers, and dynamic game server provisioning.
- The API's architecture integrates with IAM, Cloud Logging, Monitoring, and KMS, managing VM instances, disks, networking, and application code.
- Pricing considerations include machine types, regions, OS, storage, and networking, with optimization strategies like right-sizing and CUDs.
- Security measures involve IAM roles, service accounts, firewall rules, Shielded VMs, certifications, compliance, and governance practices.
- Integration with other GCP services includes BigQuery, Cloud Run, Pub/Sub, Cloud Functions, and Artifact Registry for enhanced functionality.
- Considered alongside AWS EC2 and Azure Compute APIs, Compute Engine API excels in flexibility, pricing, integration, machine types, and networking.
- Common mistakes to avoid include IAM permission errors, incorrect zone selection, quota ignorance, not using templates, and over-provisioning resources.
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