Services with PT Cloud Platform Indonesia (PT CPI)
PT CPI delivers end-to-end capabilities for organizations that need more than a single tool or a one-off migration. Our practices connect strategy, architecture, implementation, and operations—with modern data stacks (Polars, dbt, Beam), analytics, ML on Vertex AI, internal developer platforms, and FinOps cost programs on Google Cloud.
Each practice area below can be engaged independently or as part of a phased program. Typical clients start with an assessment or architecture review, then expand into landing zones, data platforms, pipeline hardening, application delivery, platform engineering, or measurable cost reduction as priorities become clear.
Practice Areas with PT Cloud Platform Indonesia (PT CPI)
Explore each pillar in depth—architecture, implementation, and ongoing operations aligned to your industry.
Google Cloud Platform
As a Google Cloud partner, PT CPI delivers assessments, landing zones, workload migration, GKE and data platforms, FinOps, and managed operations—designed for enterprise scale and regulatory expectations in Indonesia and ASEAN.
Learn more → Google Cloud · GitLabSoftware Development
PT CPI builds cloud-native applications, APIs, and integrations on GCP for enterprises and regulated industries—with quality engineering, observability, and security embedded from the first sprint.
Learn more → Snyk · GitLabDevSecOps Solutions
PT CPI is a partner for Snyk, GitLab, and GitHub—we license, implement, and enable secure SDLC tooling with policy gates, developer training, and audit-ready pipeline evidence on GCP.
Learn more → Wiz · SnykCybersecurity
Protect applications, networks, and GCP estates with application security testing, network security testing, and cloud security testing—plus AppSec programs, vulnerability management, and CNAPP integration with Wiz for continuous visibility and audit-ready evidence.
Learn more → Google Cloud · GitHubFinTech & Trading Technology
PT CPI engineers institutional-grade platforms on GCP for digital finance, crypto infrastructure, and equity trading automation—with low-latency pipelines, audit trails, and partner onboarding support.
Learn more → Google CloudData Engineering
PT CPI builds reliable data pipelines on GCP with Python, Polars, Beam, Spark, dbt, and orchestration (Airflow, Dagster)—from ingestion and lakehouse patterns to production SLAs and data contracts.
Learn more → Google CloudData Analytics
Turn cloud data into decisions with BigQuery, Looker, Metabase, DuckDB, and governed semantic layers—dashboards, self-serve BI, and executive reporting aligned to FinOps and compliance needs.
Learn more → Google CloudData Science
Production-minded ML on GCP with Python, Jupyter, scikit-learn, PyTorch, MLflow, and Vertex AI—feature stores, experiment tracking, and MLOps patterns that satisfy risk and compliance reviewers.
Learn more → Google Cloud · GitLabPlatform Engineering
Internal developer platforms on GCP and Kubernetes—Backstage portals, golden paths, Crossplane and Terraform control planes, and GitOps (Argo CD, Flux CD) so product teams ship faster with guardrails.
Learn more → Google CloudFinOps
GCP cost visibility, allocation, and reduction programs—FinOps Framework practices, Kubecost and billing analytics, Infracost in CI, and executive dashboards that tie cloud spend to products and teams.
Learn more →Modern DevSecOps & Engineering Stack with PT Cloud Platform Indonesia (PT CPI)
We design and operate platforms with IaC, GitOps, Kubernetes, edge delivery, and type-safe application stacks—plus modern data pipelines (Polars, dbt, Beam), analytics, ML on Vertex AI, internal developer platforms, and FinOps cost governance on Google Cloud.
IaC & GitOps
- Terraform
- OpenTofu
- Crossplane
- Argo CD
- Flux CD
Kubernetes & edge
- Kubernetes (K8s)
- Cloudflare Edge Network
Languages
- Go
- Rust
- TypeScript
- Python
Modern frameworks
- Astro
- SolidJS
- Effect (TS)
- Huma + Chi
- Axum (Rust)
- Hono
- Elysia
- Bun
Data & runtime
- Redis
- PostgreSQL
- Typesense
Data engineering
- Python
- Polars
- Apache Beam
- Apache Spark
- dbt
- Airflow
- Dagster
- BigQuery
- Dataflow
- Delta Lake
Data analytics
- BigQuery
- Looker
- Metabase
- DuckDB
- SQL
- Apache Superset
- dbt Semantic Layer
Data science & ML
- Python
- Jupyter
- scikit-learn
- PyTorch
- MLflow
- Vertex AI
- pandas
- Polars
Platform engineering
- Backstage
- Crossplane
- Kubernetes
- Helm
- Terraform
- OpenTofu
- Argo CD
- Internal developer portals
FinOps & cost
- FinOps Framework
- GCP Billing & CUDs
- BigQuery billing export
- Kubecost
- Infracost
- Cloud Asset Inventory
- Looker cost dashboards
Tooling is selected per engagement; we standardize patterns, not every SKU, so your teams can adopt what fits regulatory and operational constraints.