・Apollo Client ・Storybook ・Vitest, Jest BFF ・TypeScript (NestJS) ・Apollo Server ※In some cases, placement may not be made based on the nature of the item. Backend ・TypeScript (Express, Fastify, NestJS) ・Rust (axum) ・Go, Java (Quarkus) ※Depending on the product characteristics, other languages may also be used besides those mentioned above. Algorithm Machine Learning ・Python ・Rust ・OpenCV ・PyTorch ・Vertex AI ・LangChain ・Unsloth Infrastructure Google Cloud, Kubernetes, Istio, Cloud Run Cloudflare, Argo Workflows, etc … Async integration Cloud Pub/Sub, Cloud Tasks DevOps GitHub Actions, Terraform, Conftest Argo CD, Kustomize, Helm, Kyverno Datadog, MixPanel, etc … Data Cloud SQL(PostgreSQL), AlloyDB BigQuery, dbt, Trino, Iceberg, Elasticsearch Dev Tools GitHub Enterprise, GitHub Copilot Cline, Claude Code, Devin Figma, Storybook, etc … Communication Slack, Confluence, Jira, Miro, Asana Authentication Auth0, Firebase Authentication OpenAPI gRPC OpenAPI GraphQL Key Points for Technology Selection While selecting technologies based on product characteristics, we also focus on standardization across teams to achieve overall optimization. To leverage the advantages of type systems in development, we prioritize the selection of static typed languages 01 02