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Overview
A marketing-technology platform needed Google Cloud Kubernetes and automation work inside an enterprise environment with restricted administrative access. Delivery covered GKE review, infrastructure automation, pipeline review and coordination with data-platform components.
Challenge
Direct SSH access was prohibited, so Terraform operations had to run through Identity-Aware Proxy tunnels. The work also intersected with existing GoCD pipelines, Kafka, YugabyteDB and broader deployment planning.
My role
I delivered the assigned GKE and automation workstream within the wider project team. I reviewed the GKE design against best practices, built Terraform automation through IAP tunnels, completed assigned infrastructure tasks, reviewed a GoCD pipeline refactor and contributed to Kafka, YugabyteDB and deployment-plan sessions.
Architecture & approach
Key components: Google Kubernetes Engine, Terraform, Identity-Aware Proxy, GoCD, Kafka, YugabyteDB, Google Cloud networking.
What I implemented
- Reviewed the GKE cluster design and documented best-practice recommendations.
- Built Terraform automation that operated through IAP tunnels without direct SSH access.
- Completed assigned platform and automation work packages.
- Reviewed the GoCD pipeline refactor.
- Participated in Kafka and YugabyteDB working sessions.
- Reviewed the Google Cloud design and deployment plan with the delivery team.
Key decisions
- Adapted automation to the customer’s access-control model instead of requesting a weaker exception.
- Reviewed cluster, pipeline and data-platform dependencies together because deployment readiness crossed team boundaries.
- Kept my role bounded to the GKE and automation workstream rather than claiming ownership of the whole programme.
Security & reliability
IAP-based access preserved the restriction on direct SSH while allowing repeatable Terraform operations. Cluster design and deployment planning considered controlled access, identity and platform dependencies.
Technologies
Outcome
The engagement delivered the assigned GKE design review, infrastructure automation, pipeline review and platform work packages within the customer’s restricted-access environment.
Lessons & takeaways
Key takeaway
Strong platform engineering works within security constraints. The access path should be part of the automation design, not a manual exception used only during implementation.