Google Cloud Orientation For PHP Applications

Google Cloud offers virtual machines, managed containers, application platforms, functions, databases, storage, networking, identity, and operations tooling.

Why This Matters

Cloud Run is often attractive for containerized stateless HTTP and worker workloads, while Compute Engine and GKE provide progressively more infrastructure control.

Working Model

Map PHP workloads among Compute Engine, Cloud Run, App Engine, functions where compatible, Cloud SQL, Memorystore, Cloud Storage, load balancing, IAM, and Cloud Operations.

Practical Rules

  • Confirm filesystem and request-lifetime assumptions.
  • Use service identities instead of embedded keys.
  • Keep database connection limits in mind when scaling containers.
  • Choose region and availability deliberately.
  • Set budgets and quotas.

Failure Modes

  • Opening Cloud SQL publicly for convenience.
  • Scaling containers beyond database capacity.
  • Treating ephemeral disk as durable.
  • Choosing GKE before simpler compute is insufficient.

Verification

  • Deploy a container from automation.
  • Test cold and warm behavior.
  • Restore Cloud SQL.
  • Trace logs and metrics by revision.

Official References

What You Should Be Able To Do

After this lesson, you should be able to explain Google Cloud compute and supporting service choices for PHP, choose a suitable approach for a real PHP project, and verify the result instead of relying on assumptions.

Practice

Practice: Choose Cloud Run Or A VM

Compare a stateless API and a stateful legacy application.

Your answer must:

  • state the intended outcome;
  • show the commands, data flow, or implementation shape;
  • identify at least one unsafe alternative;
  • explain how the result will be verified.
Show solution

Cloud Run fits the stateless container with externalized state and bounded requests. A VM may better fit the legacy application's filesystem, daemon, and customization assumptions while it is modernized.

The important part is not memorising one command or vendor screen. The solution makes the invariant, failure behavior, and verification evidence explicit.

Practice: Protect Database Capacity

Cloud Run scales faster than Cloud SQL connection capacity.

Your answer must:

  • state the intended outcome;
  • show the commands, data flow, or implementation shape;
  • identify at least one unsafe alternative;
  • explain how the result will be verified.
Show solution

Set instance and concurrency limits, use suitable connection handling or pooling, monitor database saturation, and scale both sides from measured demand.

The important part is not memorising one command or vendor screen. The solution makes the invariant, failure behavior, and verification evidence explicit.

Practice: Design Service Identity

A worker needs object storage access.

Your answer must:

  • state the intended outcome;
  • show the commands, data flow, or implementation shape;
  • identify at least one unsafe alternative;
  • explain how the result will be verified.
Show solution

Attach a dedicated least-privilege service account, grant only required bucket operations, avoid downloaded keys, and separate deployer and runtime permissions.

The important part is not memorising one command or vendor screen. The solution makes the invariant, failure behavior, and verification evidence explicit.