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OpenObserve

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CURATED OSSCLASSIC
Cloud-Native Observability Engine · 6-20 People·Architect: Community Member
A
Community Architect

Submitted and verified architecture maintainer

PROJECT DETAILS

OpenObserve is a cloud-native observability platform for logs, metrics, and traces, built for efficiency at scale as a lightweight Elasticsearch/Splunk alternative.

ARCHITECTURAL RATIONALE

Ultra-low-cost, high-throughput unified observability for logs, metrics, and traces. Written in Rust for zero-overhead stream ingestion, compiling telemetry directly into compressed Apache Parquet columnar shards stored on S3, querying via Apache DataFusion vector execution without maintaining expensive search indices.

Your AI Scaffolding Prompt

Paste this into Claude, Cursor, or any AI coding agent to scaffold a production-ready clone of OpenObserve's architecture in minutes.

use-this-stack.md
# MISSION: Scaffold "OpenObserve" Production Architecture
You are an expert Senior Staff Software Architect and Full-Stack Engineer. Your mission is to scaffold and implement a production-grade, highly reliable, and modular codebase following the proven architecture of **OpenObserve**.
---
## 1. PROJECT SPECIFICATIONS & BENCHMARK
- **Reference Architecture**: OpenObserve
- **What It Does**: OpenObserve is a cloud-native observability platform for logs, metrics, and traces, built for efficiency at scale as a lightweight Elasticsearch/Splunk alternative.
- **Domain & Category**: Cloud-Native Observability Engine
- **Production Scale**: 6-20 People
- **Development Mode**: CLASSIC
- **Architectural Rationale**: Ultra-low-cost, high-throughput unified observability for logs, metrics, and traces. Written in Rust for zero-overhead stream ingestion, compiling telemetry directly into compressed Apache Parquet columnar shards stored on S3, querying via Apache DataFusion vector execution without maintaining expensive search indices.
- **Live Website Reference**: https://openobserve.ai
- **Source Repository**: https://github.com/openobserve/openobserve
---
## 2. PRODUCTION TECH STACK
- **Full Stack Array**: Rust, Apache DataFusion, Apache Parquet, MinIO / S3 Object Storage, Vue, TypeScript
---
## 3. NON-NEGOTIABLE ARCHITECTURAL GUARDRAILS
1. **Monorepo & Modular Separation**:
   - Structure as a Turborepo monorepo with strict package boundaries:
     - `apps/web`: Application UI, routing, layouts, and server endpoints.
     - `packages/ui`: Shared design tokens, CSS variables, and Radix UI primitive components.
     - `packages/db`: Database schemas, client singleton, declarative migrations, and seed scripts.
     - `packages/config`: Shared TypeScript, ESLint, and build configurations.
2. **Strict Type Safety & Zero `any` Policy**:
   - Enable `strict: true`, `noImplicitAny: true`, and `strictNullChecks: true`.
   - Validate ALL external inputs, API request bodies, and query parameters with **Zod** schemas before execution.
3. **Frontend & Rendering Guidelines**:
   - Isolate interactive UI state to leaf components. Keep core pages lightweight and performant.
4. **Design System & Aesthetics**:
   - Implement a sleek, dark-mode first design palette (`#0e0e0f` main background, `#141416` cards, `#28292e` borders, warm amber `#e0791f` accent).
   - Use crisp 1px borders and subtle 1px offset depth shadows (`0 1px 0 rgba(0, 0, 0, 0.5)`). Never use blurry default Tailwind shadows.
   - Clean typography using `IBM Plex Sans` for body/headings and `IBM Plex Mono` for tags, badges, metrics, and code snippets.
5. **Data Layer & Reliability**:
   - Write declarative schema definitions with foreign keys, composite indexes on queried filters, and automated timestamp triggers.
   - Use connection pooling and prepared statements for serverless database execution.
---
## 4. STEP-BY-STEP SCAFFOLDING ROADMAP
- **Phase 1: Workspace & Root Config**: Initialize package manager, monorepo configuration (`turbo.json`, `tsconfig.base.json`, `package.json`).
- **Phase 2: Database Schema & Client**: Set up database client, connection pool, Drizzle/PostgreSQL models, and migration scripts.
- **Phase 3: Design Tokens & UI Primitives**: Build accessible `Button`, `Input`, `Card`, `Badge`, and layout wrappers inside `packages/ui`.
- **Phase 4: Core Application Routes & Handlers**: Implement primary authentication, user session handling, and application routes.
- **Phase 5: Quality Assurance & Build Verification**: Run `tsc --noEmit`, ESLint, Prettier, and smoke test suites to ensure zero compilation or runtime errors.
---
## 5. EXECUTION INSTRUCTIONS
1. Review all specifications, architectural guardrails, and stack choices above.
2. Present the full monorepo directory tree structure.
3. Systematically generate the complete, production-ready codebase according to the 5-phase roadmap above — starting with the root workspace setup, followed by the database schema, UI design system package, and full-stack application routes until the repository is fully scaffolded and ready to run.
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RELIABILITY
2 yearsTIME RUNNING
Sep 2, 2026LAST VERIFIED
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Compatible Rule

Nuxt 3 + Vue + PostgreSQL

Production guidelines for Nuxt 3 server routes and universal rendering, Vue 3 Composition API, and PostgreSQL via a typed query layer.

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