{"id":28376233,"url":"https://github.com/ltbringer/level-scale","last_synced_at":"2026-02-05T07:02:26.935Z","repository":{"id":295530048,"uuid":"990330819","full_name":"ltbringer/level-scale","owner":"ltbringer","description":"Recipes to scale an application.","archived":false,"fork":false,"pushed_at":"2025-06-25T23:49:48.000Z","size":155,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-19T23:54:05.098Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"HCL","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ltbringer.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-05-26T00:35:13.000Z","updated_at":"2025-06-25T23:49:51.000Z","dependencies_parsed_at":null,"dependency_job_id":"4a0ab8cf-c391-437b-bfbc-49ca624f2821","html_url":"https://github.com/ltbringer/level-scale","commit_stats":null,"previous_names":["ltbringer/level-scale"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/ltbringer/level-scale","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ltbringer%2Flevel-scale","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ltbringer%2Flevel-scale/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ltbringer%2Flevel-scale/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ltbringer%2Flevel-scale/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ltbringer","download_url":"https://codeload.github.com/ltbringer/level-scale/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ltbringer%2Flevel-scale/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29114965,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-05T05:31:32.482Z","status":"ssl_error","status_checked_at":"2026-02-05T05:31:29.075Z","response_time":65,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-05-30T00:06:00.379Z","updated_at":"2026-02-05T07:02:26.917Z","avatar_url":"https://github.com/ltbringer.png","language":"HCL","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📦 E-commerce System Benchmark: Scaling by Design\n\nThis project simulates how a modern **e-commerce backend** might scale from a **solo developer prototype** to a **globally distributed, high-consistency platform**. It's structured around **realistic growth levels**, each introducing new system constraints, architectural shifts, and operational challenges.\n\nYou'll work through increasingly complex scenarios covering:\n\n- 🔧 Schema and query design\n- 📊 Write-heavy database loads\n- 🔁 Replication and partitioning\n- 🛠️ Observability and incident response\n- 🌐 Global data distribution and fault-tolerance\n\n---\n\n## 🎯 Why E-commerce?\n\nE-commerce systems must prioritize **strong consistency**: orders, inventory, and payment records \n**must not be lost or duplicated**. As traffic grows, so do the demands for availability, observability, \nand fault isolation. This project reflects real operational trade-offs developers and SREs face daily \nwhen building production-grade systems.\n\nWhether you're tuning WAL settings, scaling read replicas, defining SLAs, or simulating geo-redundant clusters, \nthis project grows with you -- just like your business would.\n\n---\n\n## 🚀 Level-Based System Scaling Plan (10 RPS → 1M RPS)\n\n| Level | Target RPS | Estimated DAU | Company Stage       | Engineering Level                  | Key Focus Areas                                            |\n|-------|------------|---------------|---------------------|------------------------------------|------------------------------------------------------------|\n| 1     | 10 RPS     | ~1,000 DAU    | Solo Dev / MVP      | Mid-level engineer                 | Schema design, single-node PostgreSQL, basic metrics       |\n| 2     | 100 RPS    | ~10,000 DAU   | Seed / Pre-Series A | Senior engineer                    | Indexing, connection pooling, basic joins, dashboards      |\n| 3     | 1K RPS     | ~100,000 DAU  | Series A–B          | Staff engineer                     | Partitioning, WAL tuning, write-heavy simulation           |\n| 4     | 10K RPS    | ~1M DAU       | Post-Series C       | Staff or Principal engineer        | Replication, cache, long-join optimization, VPCs, K8s      |\n| 5     | 100K RPS   | ~10M DAU      | Pre-global scale    | Staff + SRE collaboration          | Queues, read/write split, Redis, SLOs, distributed metrics |\n| 6     | 1M RPS     | ~100M+ DAU    | Global distributed  | Principal engineer + platform team | Sharding, async writes, geo-routing, chaos testing         |\n\n---\n\n## 🧠 Learning Objectives Per Level\n\n### 🟢 Level 1: MVP (10 RPS)\n- Functional relational schema\n- Basic insert + join operations\n- Prometheus + Grafana\n\n### 🔵 Level 2: Small Production (100 RPS)\n- Identify slow queries\n- Add indexes\n- Tune connection pool (e.g., PgBouncer)\n- Measure disk vs memory pressure\n- SLAs and Incident Management\n\n### 🟡 Level 3: Write Scale (1K RPS)\n- Add read replicas\n- Add partitions\n- WAL tuning\n- Richer dashboards\n\n### 🟠 Level 4: Growth Phase (10K RPS)\n- Monitor replica lag, cache hit rate\n- Compare MongoDB vs Postgres for feed model\n- Optimize long joins\n- Use query analysis tools\n- Custom networking: VPCs\n- Kubernetes\n\n### 🔴 Level 5: Pre-Global Scale (100K RPS)\n- Introduce query and write split (read/write path separation)\n- Redis for caching and rate-limiting\n- Optimize background jobs and queues (e.g., like/comment workers)\n- Scale monitoring pipelines (Prometheus federation, Grafana Loki)\n- External SLA enforcement (e.g., alert budget, SLO tracking)\n- Chaos testing\n\n### 🟣 Level 6: Global Distributed (1M RPS)\n- Shard database (Citus/Postgres or Mongo)\n- Simulate multi-region writes and reads\n- Use async models (e.g., event sourcing, log-based ingestion)\n- Load test geo-aware routing and failover\n- Introduce chaos engineering basics (network partition, node loss)\n\n---\n\n## 🔧 Tooling Overview\n\n| Category         | Tool(s)                          |\n|------------------|----------------------------------|\n| Metrics          | Prometheus, Grafana              |\n| DB Engines       | PostgreSQL, MongoDB (opt-in)     |\n| Caching/Queue    | Redis, Celery/RQ (optional)      |\n| Load Simulation  | Python/Go scripts, ThreadPool    |\n| Containerization | Docker, Kubernetes, Helm         |\n| Networking       | Custom Docker bridges, mock VPCs |\n| Alerts/SLOs      | Alertmanager, Loki, Blackbox     |\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fltbringer%2Flevel-scale","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fltbringer%2Flevel-scale","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fltbringer%2Flevel-scale/lists"}