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taylanbakircioglu d7ca50b387 feat: Flowfish - eBPF-powered multi-cluster Kubernetes observability platform

Multi-cluster dependency mapping, real-time network monitoring,
impact analysis, and CI/CD integration capabilities.

Made-with: Cursor

2026-03-29 21:43:20 +03:00

14 KiB

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Flowfish - Roadmap ve Faz Planlaması

🎯 Genel Bakış

Flowfish platformunun geliştirilmesi 3 ana faz olarak planlanmıştır. Her faz kademeli olarak değer sağlayacak şekilde tasarlanmıştır.

📅 Faz Özeti

Faz	Süre	Milestone	Çıktı
Faz 1: MVP	0-3 ay	M1, M2, M3	Production-ready temel platform
Faz 2: Advanced	4-6 ay	M4, M5	Enterprise özellikleri
Faz 3: AI/ML	7-9 ay	M6, M7	İleri seviye analitik

🚀 Faz 1: MVP (Minimum Viable Product)

Hedef Süre: 0-3 ay
Durum: Planlama
Amaç: Temel platform altyapısı ve core özelliklerin tamamlanması

Milestone 1: Foundation (Ay 1)

Sprint 1-2: Infrastructure Setup

Backend:

✅ FastAPI project setup
✅ PostgreSQL schema implementation
✅ Database migrations (Alembic)
✅ Authentication (JWT)
✅ RBAC implementation
✅ API documentation (OpenAPI)

Frontend:

✅ React + TypeScript + Ant Design setup
✅ Layout components (Header, Sidebar, Content)
✅ Authentication flow (Login, OAuth)
✅ Route structure
✅ State management (Redux Toolkit)

DevOps:

✅ Docker containers (backend, frontend)
✅ Docker Compose for local development
✅ CI/CD pipeline (GitHub Actions)
✅ Kubernetes base manifests

Deliverables:

✅ Working login page
✅ Basic dashboard skeleton
✅ API health check endpoint
✅ Database schema deployed

Sprint 3-4: Cluster Management & Inspektor Gadget

Backend:

✅ Kubernetes API client integration
✅ Cluster CRUD operations
✅ Namespace discovery
✅ Workload discovery (Pod, Deployment, Service, StatefulSet)
✅ Inspektor Gadget DaemonSet integration
✅ eBPF data collection pipeline

Frontend:

✅ Cluster management page
✅ Cluster selector component
✅ Namespace list view
✅ Workload explorer

Testing:

✅ Unit tests (backend)
✅ Integration tests (API)
✅ E2E tests (frontend)

Deliverables:

✅ Add/edit/delete clusters
✅ View discovered workloads
✅ Inspektor Gadget collecting data

Milestone 2: Core Features (Ay 2)

Sprint 5-6: Analysis Wizard & Communication Discovery

Backend:

✅ Analysis wizard API (4-step workflow)
✅ Gadget module configuration
✅ Analysis execution engine
✅ Communication discovery logic
✅ ClickHouse integration
✅ Data enricher (K8s metadata)

Frontend:

✅ Analysis wizard (4 steps)
✅ Analysis list page
✅ Analysis detail page
✅ Communication list view

Neo4j:

✅ Graph schema creation
✅ Vertex/Edge insertion logic
✅ Basic graph queries

Deliverables:

✅ Create analysis via wizard
✅ Start/stop analysis
✅ View discovered communications
✅ Data flowing to databases

Sprint 7-8: Dependency Map Visualization

Backend:

✅ Graph service (Neo4j queries)
✅ Graph data transformation (Node/Edge format)
✅ Filtering logic (namespace, workload type, risk)
✅ Real-time updates (WebSocket)

Frontend:

✅ Live Map page (Cytoscape.js integration)
✅ Graph rendering (nodes, edges, styling)
✅ Layout algorithms (hierarchical, force-directed)
✅ Interaction (click, hover, zoom)
✅ Detail panel (node/edge info)
✅ Filters (namespace, type, risk)

Deliverables:

✅ Interactive dependency map
✅ Real-time updates visible on graph
✅ Filtering and search working
✅ Export graph as PNG/JSON

Milestone 3: Polish & Testing (Ay 3)

Sprint 9-10: Dashboard & Refinement

Backend:

✅ Dashboard metrics API
✅ Aggregation queries (ClickHouse)
✅ Performance optimization
✅ Caching (Redis)

Frontend:

✅ Overview Dashboard (metrics cards, charts)
✅ Application Inventory page
✅ Risk scoring visualization
✅ UI polish (responsive, dark mode)

Documentation:

✅ User guide
✅ API documentation
✅ Deployment guide
✅ Troubleshooting guide

Deliverables:

✅ Production-ready platform
✅ Comprehensive documentation
✅ Performance benchmarks met

Faz 1 Başarı Kriterleri:

✅ 1000+ pods handled
✅ Real-time graph updates <5s
✅ API response time p95 <500ms
✅ 4 user roles working
✅ OAuth SSO working
✅ Deployment on Kubernetes successful

🌟 Faz 2: Advanced Features

Hedef Süre: 4-6 ay
Durum: Planned
Amaç: Enterprise features ve gelişmiş analitik

Milestone 4: Historical Analysis (Ay 4)

Sprint 11-12: Time Travel & Baseline

Backend:

✅ Historical graph snapshots
✅ Time-range queries
✅ Baseline creation logic
✅ Baseline storage (PostgreSQL)
✅ Comparison engine

Frontend:

✅ Historical Map page
✅ Time slider component
✅ Playback mode
✅ Snapshot comparison view
✅ Baseline management page

Deliverables:

✅ View past dependency maps
✅ Compare snapshots
✅ Create traffic baselines

Sprint 13-14: Change Detection

Backend:

✅ Change detection algorithm
✅ New/lost connection tracking
✅ Traffic spike detection
✅ Change event storage

Frontend:

✅ Change Detection page
✅ Change timeline visualization
✅ Change details panel
✅ Change filtering

Deliverables:

✅ Automatic change detection
✅ Change notifications
✅ Change review workflow

Milestone 5: AI & Multi-Cluster (Ay 5-6)

Sprint 15-16: LLM Integration & Anomaly Detection

Backend:

✅ LLM service (OpenAI/Anthropic/Azure)
✅ Prompt engineering
✅ Anomaly scoring algorithm
✅ Anomaly storage
✅ Scheduled anomaly checks

Frontend:

✅ LLM configuration page
✅ Anomaly Detection page
✅ Anomaly detail view
✅ Anomaly workflow (assign, resolve)

Deliverables:

✅ AI-powered anomaly detection
✅ LLM analysis reports
✅ Anomaly alerting

Sprint 17-18: Import/Export & Multi-Cluster

Backend:

✅ CSV export logic
✅ Graph JSON export
✅ Import parser (CSV, JSON)
✅ Import validation
✅ Multi-cluster management
✅ Cross-cluster queries

Frontend:

✅ Import/Export page
✅ Job progress tracking
✅ Multi-cluster selector
✅ Cross-cluster view

Deliverables:

✅ Data export (CSV, JSON)
✅ Data import with validation
✅ Multi-cluster dashboard
✅ Cross-cluster dependency view

Sprint 19-20: Webhooks & SIEM Integration

Backend:

✅ Webhook engine
✅ Event filtering
✅ Delivery retry logic
✅ SIEM connectors (Splunk, Elastic, Sentinel)

Frontend:

✅ Webhook configuration page
✅ Webhook test tool
✅ Delivery logs

Deliverables:

✅ Webhook notifications working
✅ SIEM integration tested
✅ Alert templates

Faz 2 Başarı Kriterleri:

✅ Geçmiş data 30+ gün saklanıyor
✅ Change detection %95 doğruluk
✅ LLM response <10 seconds
✅ Multi-cluster 5+ clusters
✅ Import/export 10MB+ files

🔮 Faz 3: AI/ML & Enterprise

Hedef Süre: 7-9 ay
Durum: Conceptual
Amaç: AI/ML ve enterprise özellikleri

Milestone 6: Policy & Change Simulation (Ay 7-8)

Sprint 21-22: What-If Analysis Engine

Backend:

⏳ Policy parser (YAML)
⏳ Simulation engine
⏳ Impact calculator
⏳ Recommendation engine
⏳ Change simulation engine
⏳ Dependency impact analyzer
⏳ Risk scoring algorithm

Frontend:

⏳ Policy Simulator page
⏳ Policy editor (Monaco)
⏳ Simulation results view
⏳ Impact visualization
⏳ Change Simulation page
⏳ CAP workflow interface
⏳ Approval dashboard

Deliverables:

⏳ Network policy simulation
⏳ Impact analysis
⏳ What-if scenarios
⏳ Change impact assessment
⏳ CAP workflow integration

Sprint 23-24: CAP Integration & Change Management

Backend:

⏳ Change Request API
⏳ Approval workflow engine
⏳ ServiceNow integration
⏳ Jira integration
⏳ Pre/post-change validation
⏳ Automated rollback triggers
⏳ Change history tracking

Frontend:

⏳ Change Request creation wizard
⏳ Impact analysis dashboard
⏳ Approval workflow UI
⏳ Change history viewer
⏳ Analytics dashboard

Integrations:

⏳ ServiceNow connector
⏳ Jira connector
⏳ PagerDuty integration
⏳ Slack/Teams notifications

Deliverables:

⏳ Full CAP workflow
⏳ Change approval automation
⏳ Impact assessment reports
⏳ Integration with enterprise tools
⏳ Automated rollback capability

Sprint 25-26: Universal Ingestion & Governance

Backend:

⏳ Prometheus metrics collector
⏳ Service mesh telemetry integration (Istio, Linkerd)
⏳ APM trace correlation (Jaeger, Zipkin)
⏳ Log correlation engine
⏳ CI/CD event collectors (GitLab, Jenkins, ArgoCD)
⏳ Provenance tracking system
⏳ Admission controller webhook
⏳ Policy-as-code engine
⏳ CI/CD plugins (GitHub Actions, GitLab CI, Jenkins)

Frontend:

⏳ Data source configuration page
⏳ Provenance viewer
⏳ Policy management UI
⏳ CI/CD integration dashboard

Deliverables:

⏳ Multi-source data ingestion working
⏳ Dependency provenance tracking
⏳ Admission controller deployed
⏳ CI/CD plugins for 3+ platforms

Sprint 27-28: DR Assessment & Predictive Analytics

Backend:

⏳ DR posture scanner
⏳ RPO/RTO calculator
⏳ Backup status checker (Velero, Stash)
⏳ Replication lag monitor
⏳ ML model training pipeline
⏳ Traffic forecasting model
⏳ Capacity planning algorithm

Frontend:

⏳ DR Posture Dashboard
⏳ Stateful workload inventory
⏳ Backup compliance view

Deliverables:

⏳ DR posture assessment for 100+ workloads
⏳ RPO/RTO compliance reporting
⏳ Traffic predictions
⏳ Capacity recommendations

Milestone 7: AI & Enterprise Features (Ay 9)

Sprint 29-30: Natural Language & Explainable AI

Backend:

⏳ Natural language query parser
⏳ Intent recognition (90%+ accuracy)
⏳ Query-to-SQL/GQL translator
⏳ Evidence collection engine
⏳ Confidence scoring algorithm
⏳ Provenance linker
⏳ Interactive debugging assistant

Frontend:

⏳ Natural language search bar
⏳ Conversational UI
⏳ Evidence viewer
⏳ AI explanation panel
⏳ Interactive troubleshooting wizard

Deliverables:

⏳ Natural language queries working
⏳ 90%+ intent recognition accuracy
⏳ Grounded AI responses with evidence
⏳ AI-assisted troubleshooting

Sprint 31-32: Advanced Features & Polish

Backend:

⏳ Custom dashboard builder API
⏳ Report generation (PDF)
⏳ Compliance scanning
⏳ Auto-remediation engine

Frontend:

⏳ Custom dashboard builder (drag & drop)
⏳ Report scheduler
⏳ Compliance dashboard
⏳ Remediation playbooks

Deliverables:

⏳ Custom dashboards
⏳ Automated reports
⏳ Compliance reports (PCI-DSS, HIPAA, SOC 2)
⏳ Auto-remediation playbooks

Faz 3 Başarı Kriterleri:

⏳ What-if simulation <30s
⏳ Change simulation <20s
⏳ Prediction accuracy >80%
⏳ Change approval automation working
⏳ CAP integration with ServiceNow/Jira
⏳ Custom dashboard builder working
⏳ Compliance reports generated

📊 Sprint Structure

Typical 2-Week Sprint

Week 1:

Day 1-2: Sprint planning, task breakdown
Day 3-5: Development (backend + frontend parallel)
Day 6-8: Integration & testing
Day 9-10: Code review, refinement

Week 2:

Day 1-3: Bug fixes, polish
Day 4-5: Documentation
Day 6-7: QA testing
Day 8: Demo & retrospective
Day 9-10: Sprint planning (next sprint)

👥 Team Structure

Önerilen Ekip (Faz 1)

Rol	Sayı	Sorumluluk
Product Owner	1	Backlog, prioritization
Scrum Master	1	Sprint facilitation
Backend Developer	2	Python, FastAPI, databases
Frontend Developer	2	React, TypeScript, UI/UX
DevOps Engineer	1	K8s, CI/CD, infrastructure
QA Engineer	1	Testing, automation
UI/UX Designer	0.5 (part-time)	UI design, wireframes

Toplam: 7.5 FTE

Faz 2'de Genişleme

+1 Backend Developer (LLM, ML)
+1 Data Engineer (ClickHouse optimization)
+1 Security Engineer (Penetration testing)

🎯 Key Performance Indicators (KPIs)

Development KPIs

KPI	Target
Sprint Velocity	40-50 story points/sprint
Code Coverage	>80%
Bug Escape Rate	<5%
API Response Time	p95 < 500ms
Frontend Load Time	<3 seconds

Product KPIs (Post-Launch)

KPI	Target (6 months)
Active Users	100+
Clusters Managed	50+
Daily API Calls	1M+
Anomalies Detected	1000+
Customer Satisfaction	NPS > 50

🚧 Risks & Mitigation

Technical Risks

Risk	Impact	Probability	Mitigation
Inspektor Gadget performance issues	High	Medium	Early POC, load testing
Neo4j scalability limits	High	Low	Benchmark, alternative (Neo4j)
LLM API cost explosion	Medium	Medium	Rate limiting, caching
Kubernetes version compatibility	Medium	High	Support 3 latest versions

Project Risks

Risk	Impact	Probability	Mitigation
Scope creep	High	High	Strict backlog prioritization
Team turnover	High	Medium	Knowledge sharing, documentation
Dependency delays	Medium	Medium	Buffer time in planning
Budget overrun	High	Low	Bi-weekly budget review

📅 Release Schedule

Alpha Release (End of Faz 1 - Month 3)

Internal testing
Limited feature set
Kubernetes clusters only

Beta Release (End of Faz 2 - Month 6)

Select customer testing
Full feature set (Faz 1 + 2)
OpenShift support added

GA (General Availability) Release (End of Faz 3 - Month 9)

Public release
All features complete
Production-ready
Enterprise support

🔄 Continuous Improvement

Post-GA (Month 10+)

Maintenance & Support:

Bug fixes (P0/P1: 24h, P2: 1 week, P3/P4: next sprint)
Security patches (immediate)
Dependency updates (monthly)

Feature Enhancements:

Community feedback incorporation
New gadget modules
New LLM providers
Performance improvements

Innovation:

AI/ML model improvements
New visualization types
Advanced analytics
Integration with more tools

Versiyon: 1.0.0
Son Güncelleme: Ocak 2025
Durum: Detaylı Roadmap

14 KiB Raw Blame History Unescape Escape

Flowfish - Roadmap ve Faz Planlaması

🎯 Genel Bakış

📅 Faz Özeti

🚀 Faz 1: MVP (Minimum Viable Product)

Milestone 1: Foundation (Ay 1)

Milestone 2: Core Features (Ay 2)

Milestone 3: Polish & Testing (Ay 3)

🌟 Faz 2: Advanced Features

Milestone 4: Historical Analysis (Ay 4)

Milestone 5: AI & Multi-Cluster (Ay 5-6)

🔮 Faz 3: AI/ML & Enterprise

Milestone 6: Policy & Change Simulation (Ay 7-8)

Milestone 7: AI & Enterprise Features (Ay 9)

📊 Sprint Structure

Typical 2-Week Sprint

👥 Team Structure

Önerilen Ekip (Faz 1)

Faz 2'de Genişleme

🎯 Key Performance Indicators (KPIs)

Development KPIs

Product KPIs (Post-Launch)

🚧 Risks & Mitigation

Technical Risks

Project Risks

📅 Release Schedule

Alpha Release (End of Faz 1 - Month 3)

Beta Release (End of Faz 2 - Month 6)

GA (General Availability) Release (End of Faz 3 - Month 9)

🔄 Continuous Improvement

Post-GA (Month 10+)

14 KiB

Raw Blame History