The runtime grows without an ownership model
Cloud Run, Kubernetes, jobs, proxies, variables, and managed services are added without clear responsibilities.
GCP & Cloud Architecture
A GCP platform that serves delivery, not the other way around.
LRJI helps teams design pragmatic GCP architecture: Cloud Run, Kubernetes, CI/CD, observability, security, cost, and runtime choices aligned with the product.
The point is not to accumulate cloud services. The point is to choose the right operating model for a TypeScript team that needs to ship fast, understand its platform, and keep costs under control.
Signals
When the cloud platform starts slowing the product down
The platform should reduce delivery friction. When it becomes a parallel system to maintain, it needs reframing.
CI/CD exists, but releases remain fragile
Deployments, rollbacks, migrations, secrets, and environments still require too much manual caution.
Environments drift apart
Staging, UAT, and production no longer resemble each other enough to give confidence in tests and releases.
Cost, security, and observability arrive too late
Cloud decisions are made for speed, but without a frame for bills, access, or incidents.
The platform hides application problems
Boundary, testing, contract, or application-debt issues are treated as infrastructure problems.
Scope
What needs to be framed
Good cloud design connects runtime, application architecture, delivery, and operations. It must stay legible to the team that maintains it.
- Runtime and deployment
- Choose between Cloud Run, Kubernetes, jobs, workers, and managed services based on load, scaling, security, and complexity.
- Environments, config, and secrets
- Structure staging, UAT, production, variables, secrets, access, and deployment conventions.
- CI/CD and observability
- GitHub Actions, GitLab CI, Docker, migrations, health checks, logs, metrics, alerting, and useful dashboards.
- Cost and security
- Align IAM, network, OWASP posture, shift-left security, budgets, sizing, and removal of unused resources.
Position
The LRJI position
A good cloud platform is mostly visible because the team ships with less friction and less ambiguity.
Start from the real operating model
Cloud architecture must fit the team size, traffic, product constraints, and actual on-call model.
Keep the platform small at first
Cloud Run and simple services can go far. Kubernetes should be chosen for a concrete reason, not by reflex.
Automate what protects delivery
CI/CD, tests, migrations, rollbacks, and observability should secure releases, not only produce an impressive pipeline.
Connect cloud and software architecture
Runtime does not compensate for weak boundaries, unclear contracts, or unprioritized application debt.
Format
How the work runs
The framing starts from the product and team, then moves down to runtime, CI/CD, and operations.
- 01
Read the product and delivery model
Roadmap, release frequency, environments, incidents, security constraints, and costs are made explicit.
- 02
Choose the platform shape
Cloud Run, Kubernetes, workers, databases, queues, proxies, and support services are framed by real use.
- 03
Stabilize delivery
Pipelines, rollbacks, config, migrations, tests, and observability become repeatable.
- 04
Install durable decisions
Tradeoffs are documented through ADRs, conventions, and criteria that prevent platform drift.
Outputs
What the team gets
The expected output is an understandable platform, not an inventory of cloud services.
- Target or intermediate GCP architecture tied to product constraints.
- Decisions on Cloud Run, Kubernetes, Docker, workers, managed services, and proxies.
- Environment, config, secret, access, and operating conventions.
- CI/CD, rollback, health checks, migrations, and release flow clarified.
- Observability, alerting, Grafana, logs, metrics, and operational ownership.
- Cost, security, platform debt, and prioritized next steps.
Proof
Relevant experience
The references connect platform, TypeScript backend, and delivery instead of treating cloud as an isolated topic.
GCP
SaaS: platform from zero to production
Architecture and delivery on GCP with TypeScript, tRPC, PostgreSQL, CI/CD, and shift-left practices.
Cloud
Frontend platform: migration and industrialization
Work on a cloud and delivery foundation where releases, standards, and operations had to stay practical.
21 -> 3
Retail: reduced runtime footprint
Simplification of a multi-service system to reduce pods, coordination, and costs per environment.
Possible next steps
Depending on where you start
GCP architecture can be standalone framing or part of a bootstrap, migration, or product architecture effort.
FAQ
FAQ
Is this only for Cloud Run?
No. Cloud Run is often an excellent starting point, but LRJI can frame Cloud Run, Kubernetes, workers, Docker, CI/CD, and GCP services based on the real need.
Can you help if the platform already exists?
Yes. The work can be a targeted audit, simplification, CI/CD stabilization, or progressive modernization path.
Is this pure infrastructure work?
No. The value is connecting runtime, application architecture, tests, security, observability, and delivery.
Next step
Bring the current runtime, pipelines, and release friction.
LRJI turns that context into a clearer GCP platform, better-owned decisions, and steadier delivery.