技術スタック
KDOT における、各プロダクトやチームの技術スタックを紹介します。
KDOT の技術スタック
KDOT は、安く・速く・安全に、将来にわたって高いパフォーマンスと安定性を維持できるシステムを構築するための技術を、突き詰めて選定します。
流行そのものは、選定の判断基準にはしません。
以下は、プロダクトやプロジェクトで実際に利用している主要な技術・ツール・基盤サービスです。
最終更新日：2026年10月6日
| Category | Technology Stack |
|---|---|
| Programming Languages / Libraries | Web FrontendHTML, CSS, TypeScript, React, Next.js, Tailwind CSS, Radix UI, Zod, React Hook Form, Jotai, Zustand, TanStack Query, Motion, GSAP, Storybook |
| BackendPython, Go, Rust, TypeScript, FastAPI, Hono, GraphQL, Effect | |
| Smart ContractsSolidity, Foundry | |
| Functional / JVMScala, Cats Effect, ZIO, http4s, fs2 | |
| Data / MLPolars, PyArrow, DuckDB, pandas, LightGBM, scikit-learn, PyTorch, transformers, ONNX, Plotly, Matplotlib, SHAP | |
| BlockchainSolana, drift-rs, alloy, web3.py | |
| Testing / QualityVitest, Testing Library, MSW, Playwright, Hypothesis, pytest, Pyright, ruff | |
| Othersfp-ts, SQLAlchemy, Scrapy, loguru, Puppeteer | |
| Code Management | GitHub, Renovate |
| Developer Tools | Pathpida, ts-morph, Sharp, Knip, dependency-cruiser, Depcheck |
| Containerization & Orchestration | Docker, AWS ECS Fargate, ecspresso, lambroll |
| DevOps / IaC | GitHub Actions, Terraform, TFLint, tfsec, Infracost, OpenNext.js for Cloudflare, Wrangler, Lighthouse CI, Oxlint, Oxfmt, ESLint, Biome, uv, poethepoet, just, Taskfile, Jsonnet |
| Workflow Engine | Temporal |
| Data Analytics / Platform | BigQuery, dbt, dlt, SQLFluff, Metabase, AWS Glue, Apache Iceberg, EventBridge, Upstash Redis, Snowflake |
| Database / Storage | Cloudflare D1, Cloudflare R2, AWS DynamoDB, Aurora PostgreSQL, PostgreSQL, Firestore |
| Infrastructure | CloudflareWorkers, Durable Objects, Queues, Vectorize, Workers AI, Turnstile, Access, Tunnel, Image Transformations, Analytics Engine |
| AWSECS, S3, KMS, Lambda, Secrets Manager, Route53, Amazon CloudFront, Amazon SES, Amazon Cognito, AWS IoT Core, Amazon Timestream | |
| Google CloudCloud Run, Cloud SQL, Secret Manager | |
| Middleware / Integration | RSS / Atom, Slack API, Notion API, HubSpot API |
| Monitoring | Datadog, Cloudflare Analytics Engine |
| Analytics | Google Tag Manager, Google Analytics Data API |
| Search | Hybrid search (D1 FTS5 + Vectorize + BGE-M3 + RRF) |
| Security | CSP, SOPS, bandit, Auth0 |
| CRM / Communication / Forms | HubSpot Forms, Slack Incoming Webhooks |
| CMS / Content | Payload CMS, Shiki, KaTeX, Mermaid, Lexical |
| Trading / DeFi | Hyperliquid, dYdX, GMX, Rust, Solidity |
| ML Platform | MLflow, skl2onnx, onnxruntime |
| AI Tools | Claude Code, Anthropic Claude Agent SDK, Codex, Claude, MCP |
| General Tools | Google Maps API, Leaflet |
Programming Languages / Libraries
- Web Frontend
- HTML, CSS, TypeScript, React, Next.js, Tailwind CSS, Radix UI, Zod, React Hook Form, Jotai, Zustand, TanStack Query, Motion, GSAP, Storybook
- Backend
- Python, Go, Rust, TypeScript, FastAPI, Hono, GraphQL, Effect
- Smart Contracts
- Solidity, Foundry
- Functional / JVM
- Scala, Cats Effect, ZIO, http4s, fs2
- Data / ML
- Polars, PyArrow, DuckDB, pandas, LightGBM, scikit-learn, PyTorch, transformers, ONNX, Plotly, Matplotlib, SHAP
- Blockchain
- Solana, drift-rs, alloy, web3.py
- Testing / Quality
- Vitest, Testing Library, MSW, Playwright, Hypothesis, pytest, Pyright, ruff
- Others
- fp-ts, SQLAlchemy, Scrapy, loguru, Puppeteer
Code Management
GitHub, Renovate
Developer Tools
Pathpida, ts-morph, Sharp, Knip, dependency-cruiser, Depcheck
Containerization & Orchestration
Docker, AWS ECS Fargate, ecspresso, lambroll
DevOps / IaC
GitHub Actions, Terraform, TFLint, tfsec, Infracost, OpenNext.js for Cloudflare, Wrangler, Lighthouse CI, Oxlint, Oxfmt, ESLint, Biome, uv, poethepoet, just, Taskfile, Jsonnet
Workflow Engine
Temporal
Data Analytics / Platform
Database / Storage
Cloudflare D1, Cloudflare R2, AWS DynamoDB, Aurora PostgreSQL, PostgreSQL, Firestore
Infrastructure
- Cloudflare
- Workers, Durable Objects, Queues, Vectorize, Workers AI, Turnstile, Access, Tunnel, Image Transformations, Analytics Engine
- AWS
- ECS, S3, KMS, Lambda, Secrets Manager, Route53, Amazon CloudFront, Amazon SES, Amazon Cognito, AWS IoT Core, Amazon Timestream
- Google Cloud
- Cloud Run, Cloud SQL, Secret Manager
Middleware / Integration
RSS / Atom, Slack API, Notion API, HubSpot API
Monitoring
Datadog, Cloudflare Analytics Engine
Analytics
Google Tag Manager, Google Analytics Data API
Search
Hybrid search (D1 FTS5 + Vectorize + BGE-M3 + RRF)
Security
CSP, SOPS, bandit, Auth0
CRM / Communication / Forms
HubSpot Forms, Slack Incoming Webhooks
CMS / Content
Payload CMS, Shiki, KaTeX, Mermaid, Lexical
Trading / DeFi
Hyperliquid, dYdX, GMX, Rust, Solidity
ML Platform
MLflow, skl2onnx, onnxruntime
AI Tools
General Tools
Google Maps API, Leaflet
データ基盤・開発の設計領域
特定の製品名ではなく、プロジェクトで設計・構築・運用に取り組む領域やアーキテクチャパターンです。
| Category | Technology Stack |
|---|---|
| Data Platform | Lakehouse, Medallion Architecture, stg / int / mart 層設計, バッチ / ストリーミング / CDC, ELT, BI, Reverse ETL, Feature Store, Data Observability, Data Contract, CI/CD for data |
Data Platform
Lakehouse, Medallion Architecture, stg / int / mart 層設計, バッチ / ストリーミング / CDC, ELT, BI, Reverse ETL, Feature Store, Data Observability, Data Contract, CI/CD for data