diff --git a/ROADMAP.md b/ROADMAP.md new file mode 100644 index 000000000..c56e28181 --- /dev/null +++ b/ROADMAP.md @@ -0,0 +1,731 @@ +# Monoscope Feature Roadmap +## Path to Datadog & Grafana Parity + +**Last Updated:** January 2, 2026 +**Goal:** Establish Monoscope as a production-ready alternative to Datadog and Grafana + +--- + +## Executive Summary + +Monoscope has built a strong foundation with S3-native storage, OpenTelemetry support, AI-powered anomaly detection, and natural language queries. To reach Datadog and Grafana parity, we need to expand across six strategic pillars: + +1. **Advanced Visualization & Dashboarding** - Match Grafana's chart library and templating +2. **Enterprise Monitoring & APM** - Compete with Datadog's APM and infrastructure monitoring +3. **Alerting & Incident Management** - Build comprehensive alerting with routing and escalation +4. **Data Integration & Scalability** - Support multiple data sources and scale to enterprise workloads +5. **Collaboration & User Experience** - Team features, permissions, and workflows +6. **Platform & Developer Experience** - API, plugins, and ecosystem growth + +--- + +## Current State Analysis + +### ✅ Strengths +- **S3-native storage** - Unique differentiator for cost-effective long-term retention +- **AI-powered insights** - Natural language queries, AI conversations on issues, and anomaly detection ahead of competitors +- **OpenTelemetry native** - Modern, future-proof ingestion with 750+ integrations +- **Unified telemetry** - Logs, metrics, and traces in one platform +- **Self-hostable** - Open-source (AGPL-3.0) with cloud option +- **Live tail** - Real-time log streaming +- **Custom dashboards** - Basic dashboard builder with multiple widget types + +### 🔶 Gaps vs Datadog +- Limited APM depth (no service maps, dependency graphs, or code-level profiling) +- No Real User Monitoring (RUM) for frontend performance +- No synthetic monitoring (uptime checks, API tests) +- Basic alerting (no routing trees, escalation policies, or SLOs) +- Limited infrastructure monitoring (no process-level metrics, network monitoring) +- No security monitoring or SIEM capabilities +- No CI/CD integration tracking +- Limited collaboration features (no teams, shared resources) + +### 🔶 Gaps vs Grafana +- Smaller visualization library (7 widgets vs 20+ chart types) +- No templating/variables in dashboards +- No annotations for correlating events +- No multi-datasource support (locked to own backend) +- No plugin ecosystem +- Limited explore/ad-hoc query interface +- No alerting contact point routing +- No public/embedded dashboards +- No reporting (PDF/email exports) + +--- + +## Strategic Roadmap + +### 🎯 Phase 1: Foundation (Q1 2026) +**Goal:** Stabilize core platform and essential enterprise features + +#### 1.1 Visualization & Dashboarding +- **Priority: HIGH** + +**P0 - Critical:** +- [ ] **Table widget** - Display query results in sortable, filterable tables +- [ ] **Dashboard variables/templates** - Support `$variable` syntax for dynamic filtering + - Variable types: query, custom, constant, datasource, interval, text box + - Use in queries: `service_name == $service` +- [ ] **Time range picker improvements** - Quick ranges, custom ranges, relative times +- [ ] **Dashboard annotations** - Mark events on time-series charts (deployments, incidents) +- [ ] **Gauge widget** - Show single metrics with thresholds and color coding +- [ ] **Heatmap widget** - Visualize distributions over time (latency heatmaps, error codes) + +**P1 - Important:** +- [ ] **Pie/donut chart widget** - Proportional breakdowns +- [ ] **Bar chart widget** - Horizontal bar charts for comparisons +- [ ] **Dashboard folders** - Organize dashboards into hierarchical folders +- [ ] **Dashboard tags** - Tag and filter dashboards for discovery +- [ ] **Dashboard search** - Full-text search across dashboard names, tags, and content +- [ ] **Dashboard versioning** - Track changes, revert to previous versions +- [ ] **Dashboard JSON import/export** - Share dashboards as code + +#### 1.2 Alerting & Monitoring +- **Priority: HIGH** + +**P0 - Critical:** +- [ ] **Alert rule builder UI** - Visual builder for threshold, change, and anomaly alerts +- [ ] **Alert routing** - Route alerts to different channels based on severity, service, team +- [ ] **Silence/snooze rules** - Mute alerts during maintenance windows +- [ ] **Alert history** - View triggered alerts, state changes, and notifications sent +- [ ] **PagerDuty integration** - Send alerts to PagerDuty with incident creation +- [ ] **Microsoft Teams integration** - Send alerts to Teams channels +- [ ] **Webhook integration** - Generic webhook for custom integrations + +**P1 - Important:** +- [ ] **Alert grouping** - Group related alerts to reduce noise +- [ ] **Alert templates** - Reusable alert configurations for common scenarios +- [ ] **Alert dependencies** - Suppress downstream alerts when root cause is firing +- [ ] **On-call schedules** - Define rotation schedules for alert routing +- [ ] **Escalation policies** - Multi-level escalation (5min → team lead → manager) + +#### 1.3 Query & Exploration +- **Priority: MEDIUM** + +**P0 - Critical:** +- [ ] **Explore mode** - Dedicated interface for ad-hoc querying without dashboards +- [ ] **Query history** - Save and access recent queries +- [ ] **Query favorites/bookmarks** - Save frequently-used queries +- [ ] **MQL autocomplete improvements** - Field suggestions, function signatures +- [ ] **Query validation** - Real-time syntax checking with helpful error messages + +**P1 - Important:** +- [ ] **Query inspector** - Show generated SQL, execution time, row counts +- [ ] **Query explain plan** - PostgreSQL EXPLAIN output for performance debugging +- [ ] **Saved queries library** - Share queries across team members +- [ ] **Query performance metrics** - Track slow queries, optimize automatically + +#### 1.4 Core Platform +- **Priority: HIGH** + +**P0 - Critical:** +- [ ] **TimeFusion migration** - Complete migration from TimescaleDB to TimeFusion +- [ ] **Performance benchmarking** - Establish baseline for 500K+ events/sec claim +- [ ] **Multi-project isolation** - Ensure data isolation between projects +- [ ] **API key management** - Create, rotate, revoke API keys per project +- [ ] **Audit logging** - Log all user actions, configuration changes, data access + +**P1 - Important:** +- [ ] **High availability setup** - Active-active or active-standby configurations +- [ ] **Backup & restore** - Automated S3 backups with point-in-time recovery +- [ ] **Data retention policies** - Configurable retention with automatic deletion +- [ ] **Resource quotas** - Limit ingestion rates, storage, query concurrency per project + +--- + +### 🚀 Phase 2: Advanced Features (Q2-Q3 2026) +**Goal:** Differentiate with enterprise APM and AI capabilities + +#### 2.1 Application Performance Monitoring (APM) +- **Priority: HIGH** + +**P0 - Critical:** +- [ ] **Service dependency map** - Visualize service-to-service calls and dependencies + - Auto-generate from trace data + - Show request rates, error rates, latencies per edge + - Interactive drill-down to traces +- [ ] **Service catalog** - Centralized registry of services with metadata + - Ownership, team, repository, documentation links + - Health status, SLO compliance, recent deployments +- [ ] **Endpoint performance analysis** - Per-endpoint metrics and flame graphs + - Request volume, latency percentiles, error rates + - Trace examples for p50, p90, p99, errors +- [ ] **Database query performance** - Track slow queries from traces + - Identify N+1 queries, full table scans + - Query normalization and aggregation +- [ ] **Distributed trace flamegraphs** - Visualize trace spans as flamegraphs +- [ ] **Trace comparison** - Compare two traces side-by-side (fast vs slow) + +**P1 - Important:** +- [ ] **Code-level profiling** - Continuous profiling integrated with traces + - CPU profiling, memory profiling, goroutine profiling + - Link profiles to specific trace spans +- [ ] **Deployment tracking** - Track deployments and correlate with metrics + - Tag traces/logs with deployment version + - Show deployment markers on dashboards + - Compare metrics before/after deployments +- [ ] **Error tracking** - Aggregate and prioritize application errors + - Stack trace grouping and fingerprinting + - Error trends, first seen, last seen + - Link to traces and logs +- [ ] **Transaction profiling** - Profile business transactions end-to-end + - User journey tracking (signup → checkout → payment) + +#### 2.2 Infrastructure Monitoring +- **Priority: MEDIUM** + +**P0 - Critical:** +- [ ] **Host/container metrics** - CPU, memory, disk, network per host/container + - Pre-built dashboards for infrastructure overview + - Auto-discovery of hosts from OTLP resource attributes +- [ ] **Process monitoring** - Process-level metrics (CPU, memory, file descriptors) +- [ ] **Kubernetes monitoring** - Enhanced K8s observability + - Cluster, namespace, pod, container views + - K8s events correlation with metrics/logs + - Resource requests/limits vs actual usage + - Pre-built dashboards for K8s components (etcd, scheduler, controller-manager) + +**P1 - Important:** +- [ ] **Network performance monitoring** - TCP/UDP flow analysis + - Service-to-service network latency + - Packet loss, retransmissions + - DNS query performance +- [ ] **Custom metrics agent** - Lightweight agent for system metrics + - Alternative to OTLP collector for simple deployments + - Support StatsD and Prometheus exposition formats + +#### 2.3 Real User Monitoring (RUM) +- **Priority: MEDIUM** + +**P0 - Critical:** +- [ ] **Browser SDK** - JavaScript SDK for frontend monitoring + - Page load performance (Core Web Vitals) + - User interactions and clicks + - JavaScript errors with stack traces + - AJAX/fetch request monitoring + - Session replay capabilities +- [ ] **RUM dashboards** - Pre-built dashboards for user experience + - Page views, bounce rate, session duration + - Geographic distribution + - Device/browser breakdown + - Error rates and types +- [ ] **Session replay** - Record and replay user sessions + - Privacy controls (mask PII, credit cards) + - Link replays to errors and traces + - Search sessions by user ID, page, error + +**P1 - Important:** +- [ ] **Mobile SDKs** - iOS and Android SDKs for mobile app monitoring + - Crash reporting + - Network request monitoring + - App startup time, screen load time +- [ ] **RUM-APM correlation** - Link frontend performance to backend traces + +#### 2.4 Synthetic Monitoring +- **Priority: MEDIUM** + +**P0 - Critical:** +- [ ] **HTTP/HTTPS uptime checks** - Monitor endpoint availability + - Configurable check intervals (1min, 5min, etc.) + - Multi-region checks + - Alert on downtime or slow response +- [ ] **API tests** - Multi-step API testing workflows + - Chain requests with variables + - Assertions on status codes, response bodies, headers + - Run on schedule from multiple locations +- [ ] **SSL certificate monitoring** - Alert before certificates expire + +**P1 - Important:** +- [ ] **Browser tests** - Headless browser testing (Playwright/Puppeteer) + - Record user flows (login, checkout, etc.) + - Assert on page elements, content + - Capture screenshots on failure +- [ ] **Performance budgets** - Alert when page load time exceeds threshold + +#### 2.5 AI & AIOps Enhancements +- **Priority: HIGH** (Differentiator) + +**Current AI Capabilities (Already Implemented):** +- ✅ **Natural language queries** - Query telemetry data using plain English +- ✅ **AI conversations on issues** - Chat with AI about detected anomalies and errors +- ✅ **Basic anomaly detection** - Automatic detection of API changes, exceptions, performance issues + +**P0 - Critical Enhancements:** +- [ ] **AIOps workflow builder** - Visual workflow editor for AI agents + - Drag-and-drop nodes: query, filter, LLM analysis, alert + - Conditional logic and branching + - Schedule workflows or trigger on events +- [ ] **Root cause analysis** - AI-powered RCA for incidents + - Analyze correlated logs, metrics, traces during incident window + - Suggest likely root causes ranked by confidence + - Link to relevant traces, logs, config changes +- [ ] **Anomaly detection improvements** - More sophisticated algorithms + - Seasonal trend decomposition (STL) + - Prophet-based forecasting + - Multivariate anomaly detection + - User feedback loop (mark false positives) + +**P1 - Important:** +- [ ] **Log pattern mining** - Automatically discover log patterns and templates + - Group similar logs (ignoring variable parts) + - Detect new log patterns + - Alert on unusual log pattern frequencies +- [ ] **Metric forecasting** - Predict future metric values + - Forecast resource usage for capacity planning + - Alert when forecast exceeds threshold +- [ ] **Incident postmortem generator** - Auto-generate postmortem from incident data + - Timeline of events (alerts, logs, deployments) + - Impact analysis (affected users, services) + - Suggested action items + +#### 2.6 SLO & Reliability +- **Priority: MEDIUM** + +**P0 - Critical:** +- [ ] **SLO definitions** - Define Service Level Objectives + - Availability SLOs (99.9%, 99.99%) + - Latency SLOs (p95 < 200ms) + - Error rate SLOs (< 0.1%) +- [ ] **SLO tracking dashboards** - Visualize SLO compliance + - Error budget remaining + - Burn rate (how fast error budget is consumed) + - Historical SLO compliance +- [ ] **SLO-based alerting** - Alert when SLO is at risk + - Multi-window burn rate alerts + - Error budget depletion alerts + +**P1 - Important:** +- [ ] **SLO reports** - Weekly/monthly SLO compliance reports +- [ ] **Error budget policies** - Define actions when error budget exhausted + - Block deployments, escalate incidents + +--- + +### 🌐 Phase 3: Enterprise & Ecosystem (Q4 2026 - Q1 2027) +**Goal:** Support enterprise customers and build ecosystem + +#### 3.1 Multi-tenancy & Collaboration +- **Priority: HIGH** + +**P0 - Critical:** +- [ ] **Organizations & workspaces** - Multi-tenant hierarchy + - Organization → Workspaces → Projects + - Share dashboards, alerts, queries across workspaces +- [ ] **Team management** - Create teams within organizations + - Assign users to teams + - Team-based permissions and ownership +- [ ] **Role-based access control (RBAC)** - Granular permissions + - Roles: Admin, Editor, Viewer, Custom + - Permissions: Read, Write, Delete per resource type + - Team-level and project-level roles +- [ ] **SSO/SAML integration** - Enterprise authentication + - Support Okta, Azure AD, Google Workspace, OneLogin + - SCIM provisioning for user sync +- [ ] **Shared resources** - Share dashboards, alerts, queries across teams + - Public dashboards (view-only, no auth) + - Embeddable dashboards (iframe with signed token) + +**P1 - Important:** +- [ ] **Resource folders** - Organize dashboards, alerts into shared folders +- [ ] **Comments & annotations** - Collaborate on dashboards and incidents + - Comment on graphs, traces, logs + - @mention team members + - Link comments to Slack threads +- [ ] **Change tracking** - Audit trail for resource changes + - Who changed what, when + - Diff view for config changes + +#### 3.2 Data Sources & Integrations +- **Priority: MEDIUM** + +**P0 - Critical:** +- [ ] **Multi-datasource support** - Query external data sources + - Prometheus, Loki, Elasticsearch, ClickHouse + - Mix Monoscope data with external sources in dashboards +- [ ] **Data source proxy** - Secure access to external data sources + - Store credentials securely + - Rate limiting and caching + +**P1 - Important:** +- [ ] **Kafka ingestion enhancements** - Better Kafka consumer support + - Consumer group management + - Schema registry integration + - At-least-once and exactly-once semantics +- [ ] **Prometheus remote write** - Accept Prometheus metrics via remote write +- [ ] **CloudWatch integration** - Import AWS CloudWatch metrics +- [ ] **Azure Monitor integration** - Import Azure metrics and logs +- [ ] **GCP Cloud Monitoring integration** - Import GCP metrics and logs + +#### 3.3 Reporting & Sharing +- **Priority: MEDIUM** + +**P0 - Critical:** +- [ ] **PDF reports** - Export dashboards to PDF + - Scheduled reports (daily/weekly/monthly) + - Email PDF reports +- [ ] **CSV export** - Export query results to CSV +- [ ] **Public dashboards** - Share dashboards publicly (no auth) + - Optional password protection + - Watermarking with organization name +- [ ] **Embedded dashboards** - Embed dashboards in external apps + - Signed iframe URLs with expiration + - Customize branding (hide header, logo) + +**P1 - Important:** +- [ ] **Report templates** - Create reusable report templates +- [ ] **Snapshot sharing** - Share dashboard snapshots (point-in-time) +- [ ] **Dashboard export to image** - PNG/JPEG export + +#### 3.4 Developer Experience & APIs +- **Priority: MEDIUM** + +**P0 - Critical:** +- [ ] **REST API v2** - Comprehensive REST API + - CRUD for dashboards, alerts, projects, users + - Query API with pagination, filtering + - Metrics and logs ingestion endpoints +- [ ] **API documentation** - Interactive API docs (OpenAPI/Swagger) +- [ ] **Terraform provider** - Manage Monoscope resources via Terraform + - Dashboards, alerts, projects as code +- [ ] **CLI tool** - Command-line tool for administration + - Project management, user management + - Query execution from CLI + - Dashboard import/export + +**P1 - Important:** +- [ ] **GraphQL API** - Alternative to REST for complex queries +- [ ] **Webhooks** - Receive events (alert triggered, dashboard created) +- [ ] **SDK libraries** - Python, JavaScript, Go SDKs for API access + +#### 3.5 Plugin Ecosystem +- **Priority: MEDIUM** + +**P0 - Critical:** +- [ ] **Plugin framework** - Support for community plugins + - Datasource plugins (new data sources) + - Panel plugins (new visualization types) + - App plugins (standalone apps within Monoscope) +- [ ] **Plugin marketplace** - Discover and install community plugins + - Plugin catalog with ratings, reviews + - One-click installation + - Security scanning for plugins + +**P1 - Important:** +- [ ] **Plugin developer guide** - Documentation and examples +- [ ] **Plugin SDK** - TypeScript SDK for building plugins +- [ ] **Plugin signing** - Sign official/verified plugins + +#### 3.6 Compliance & Security +- **Priority: MEDIUM** + +**P0 - Critical:** +- [ ] **Data encryption at rest** - Encrypt S3 data with customer keys + - AWS KMS, Azure Key Vault, GCP KMS integration +- [ ] **Data encryption in transit** - TLS 1.3 for all connections +- [ ] **PII redaction** - Automatic PII detection and redaction + - Redact emails, phone numbers, SSNs, credit cards + - Configurable patterns +- [ ] **Compliance certifications** - SOC 2 Type II, GDPR, HIPAA + - Audit logging for compliance + - Data residency controls (EU, US) + +**P1 - Important:** +- [ ] **Data masking** - Mask sensitive fields in dashboards for non-admins +- [ ] **IP allowlisting** - Restrict access by IP +- [ ] **Security monitoring (SIEM)** - Basic SIEM capabilities + - Log-based threat detection + - Anomalous login detection + - Integration with security tools (CrowdStrike, SentinelOne) + +--- + + +## Competitive Feature Matrix + +| Feature Category | Monoscope (Current) | Monoscope (Phase 3) | Datadog | Grafana | +|-----------------|---------------------|---------------------|---------|---------| +| **Visualization** | +| Chart types | 7 | 20+ | 15+ | 25+ | +| Dashboard variables | ❌ | ✅ | ✅ | ✅ | +| Annotations | ❌ | ✅ | ✅ | ✅ | +| **APM** | +| Distributed tracing | ✅ | ✅ | ✅ | ✅ | +| Service maps | ❌ | ✅ | ✅ | Partial | +| Code profiling | ❌ | ✅ | ✅ | Partial | +| Database monitoring | Basic | ✅ | ✅ | ❌ | +| **RUM** | +| Browser monitoring | ❌ | ✅ | ✅ | ✅ | +| Session replay | ❌ | ✅ | ✅ | ✅ | +| Mobile SDKs | ❌ | ✅ | ✅ | ❌ | +| **Alerting** | +| Alert routing | Basic | ✅ | ✅ | ✅ | +| On-call schedules | ❌ | ✅ | ✅ | Via Oncall | +| SLO tracking | ❌ | ✅ | ✅ | Partial | +| **Infrastructure** | +| Host/container metrics | Basic | ✅ | ✅ | ✅ | +| Network monitoring | ❌ | ✅ | ✅ | ❌ | +| Kubernetes | Basic | ✅ | ✅ | ✅ | +| **AI/ML** | +| Natural language queries | ✅ | ✅ | ❌ | ❌ | +| Anomaly detection | ✅ | ✅ | Add-on | Partial | +| Root cause analysis | Basic | ✅ | ✅ | ❌ | +| **Collaboration** | +| Teams & RBAC | ❌ | ✅ | ✅ | ✅ | +| SSO/SAML | ❌ | ✅ | ✅ | ✅ | +| Public dashboards | ❌ | ✅ | ✅ | ✅ | +| **Platform** | +| Multi-datasource | ❌ | ✅ | ❌ | ✅ | +| Plugin ecosystem | ❌ | ✅ | Partial | ✅ | +| REST API | Basic | ✅ | ✅ | ✅ | +| Terraform provider | ❌ | ✅ | ✅ | ✅ | +| **Storage** | +| S3-native | ✅ | ✅ | ❌ | Partial | +| Multi-year retention | ✅ | ✅ | 💰💰💰 | ✅ | + +--- + +## Implementation Priorities + +### High-Priority (Critical Path) +These features are essential for competitive parity: + +1. **Dashboard variables & templates** - Required for dynamic, reusable dashboards +2. **Table & gauge widgets** - Most commonly used widget types +3. **Service dependency maps** - Core APM feature, high user value +4. **Alert routing & PagerDuty** - Enterprise requirement for on-call +5. **TimeFusion migration** - Performance and scalability foundation +6. **RBAC & SSO** - Enterprise gating features +7. **Explore mode** - Essential for ad-hoc analysis + +### Medium-Priority (Competitive Advantage) +These features differentiate Monoscope: + +1. **AIOps workflow builder** - Unique differentiator, builds on AI strengths +2. **Root cause analysis** - High-value AI feature +3. **RUM & session replay** - Expand to frontend observability +4. **SLO tracking** - Modern reliability practices +5. **Kubernetes monitoring** - Common deployment target +6. **Multi-datasource support** - Flexibility for mixed environments + +### Low-Priority (Nice-to-Have) +These can wait until Phase 3/4: + +1. **Mobile RUM SDKs** - Smaller market than web RUM +2. **eBPF monitoring** - Advanced feature, complex implementation +3. **Chaos engineering integration** - Niche use case +4. **Security/SIEM** - Different market, high complexity +5. **Network monitoring** - Specialized feature + +--- + +## Success Metrics + +### Phase 1 (Foundation) +- **Feature parity**: 60% of Grafana visualization features +- **Dashboard adoption**: 80% of users create custom dashboards +- **Alert usage**: 50% of projects have configured alerts +- **Performance**: Achieve 500K+ events/sec ingestion +- **Reliability**: 99.9% uptime for cloud offering + +### Phase 2 (Advanced Features) +- **APM adoption**: 70% of users enable service maps +- **RUM adoption**: 30% of users deploy browser SDK +- **AI engagement**: 40% of users use natural language queries weekly +- **SLO usage**: 50% of projects define SLOs + +### Phase 3 (Enterprise) +- **Enterprise customers**: 20+ companies with >100 employees +- **SSO adoption**: 60% of enterprise users via SSO +- **Plugin ecosystem**: 10+ community plugins +- **API usage**: 30% of dashboards created via API/Terraform +- **Market leadership**: #1 in AI-powered observability +- **Cost savings**: Users report 70%+ cost reduction vs Datadog +- **Community**: 10K+ GitHub stars, 100+ contributors + +--- + +## Resource Requirements + +### Engineering Team Expansion +- **Phase 1**: 8 engineers (2 frontend, 3 backend, 1 data, 1 DevOps, 1 AI/ML) +- **Phase 2**: +4 engineers (2 APM specialists, 1 RUM, 1 AI/ML) +- **Phase 3**: +3 engineers (1 security, 1 integrations, 1 platform) + +### Technology Investments +- **Infrastructure**: Scale to handle 10M+ events/sec +- **AI/ML**: GPT-4/Claude API costs, model fine-tuning +- **Compliance**: SOC 2 audit, security assessments +- **Developer relations**: Documentation, tutorials, workshops + +--- + +## Risk & Mitigation + +### Technical Risks +1. **TimeFusion performance** - May not scale to 500K+ events/sec + - *Mitigation*: Extensive benchmarking, keep TimescaleDB fallback +2. **Multi-datasource complexity** - Query federation is hard + - *Mitigation*: Start with read-only support, limit to time-series DBs +3. **eBPF portability** - Kernel version dependencies + - *Mitigation*: Not planned for initial roadmap, defer until market demand justifies investment + +### Market Risks +1. **Datadog/Grafana acquisitions** - Competitors acquire key features + - *Mitigation*: Focus on AI and cost differentiators +2. **OpenTelemetry fragmentation** - Standards evolve + - *Mitigation*: Active participation in OTLP community +3. **Cloud provider observability** - AWS X-Ray, GCP Operations improve + - *Mitigation*: Emphasize multi-cloud, self-hosted options + +### Business Risks +1. **Enterprise sales** - Hard to break into enterprises + - *Mitigation*: Build partner ecosystem, focus on mid-market first +2. **Open-source monetization** - AGPL may limit adoption + - *Mitigation*: Offer commercial license, managed cloud +3. **Support burden** - Self-hosted users require support + - *Mitigation*: Community support, premium support tier + +--- + +## Next Steps + +### Immediate Actions (This Week) +1. **Validate roadmap** - Share with customers, gather feedback +2. **Prioritize P0 features** - Create detailed specs for top 5 features +3. **Build prototypes** - Dashboard variables, service maps +4. **Benchmark TimeFusion** - Validate 500K events/sec claim +5. **Hire APM engineer** - Post job for distributed tracing expert + +### This Month +1. **Implement dashboard variables** - Unlock dynamic dashboards +2. **Build table widget** - Most requested visualization +3. **Enhance alert routing** - PagerDuty integration +4. **Launch explore mode** - Improve ad-hoc query experience +5. **Write technical RFCs** - Service maps, multi-datasource, RBAC + +### This Quarter (Q1 2026) +1. **Ship Phase 1 features** - Complete foundation roadmap +2. **Customer interviews** - Validate Phase 2 priorities +3. **Publish public roadmap** - GitHub Projects with voting +4. **Community engagement** - Blog posts, conference talks +5. **Partnership discussions** - Explore integrations (Vercel, Netlify, etc.) + +--- + +## Appendix: Detailed Feature Specifications + +### A. Dashboard Variables +**Description**: Support `$variable` syntax in queries and dashboard settings for dynamic filtering. + +**Variable Types**: +- **Query**: Populate from MQL query results (e.g., `service_name | distinct`) +- **Custom**: Comma-separated list of values +- **Constant**: Single constant value +- **Interval**: Time interval (1m, 5m, 1h, etc.) +- **Text box**: Free-form user input + +**Usage**: +```mql +service_name == $service +| where status_code >= $min_status_code +| summarize count() by bin(timestamp, $interval) +``` + +**UI Requirements**: +- Variable editor in dashboard settings +- Dropdown/multi-select controls in dashboard header +- Preview query results in variable editor +- Support chained variables (variable B depends on variable A) + +--- + +### B. Service Dependency Map +**Description**: Auto-generate service dependency graphs from distributed traces. + +**Data Model**: +- **Nodes**: Services (from `service.name` attribute) +- **Edges**: Service-to-service calls (from parent/child span relationships) +- **Metrics**: Request rate, error rate, latency (p50, p95, p99) + +**Visualization**: +- Force-directed graph layout +- Node size = request volume +- Edge thickness = request volume +- Edge color = health (green/yellow/red based on error rate) +- Hover: Show metrics tooltip +- Click: Drill down to traces for that edge + +**Features**: +- Time range selector +- Filter by service, namespace +- Highlight critical path (slowest route) +- Export as PNG/SVG + +--- + +### C. SLO Tracking +**Description**: Define, track, and alert on Service Level Objectives. + +**SLO Types**: +1. **Availability**: `(good_requests / total_requests) >= 99.9%` +2. **Latency**: `p95(latency) < 200ms` +3. **Error rate**: `(errors / total) < 0.1%` + +**Error Budget**: +- **Error budget** = `1 - SLO target` (e.g., 0.1% for 99.9% SLO) +- **Budget remaining** = `error_budget - actual_error_rate` +- **Burn rate** = `actual_error_rate / error_budget` + +**Alerting**: +- **Fast burn** (1hr window): Burn rate > 14.4x → Page +- **Slow burn** (6hr window): Burn rate > 6x → Ticket + +**UI**: +- SLO definition wizard +- SLO dashboard widget (gauge, time-series) +- SLO compliance report (monthly) + +--- + +### D. AIOps Workflow Builder +**Description**: Visual workflow editor for building AI-powered monitoring workflows. + +**Node Types**: +1. **Trigger**: Schedule, webhook, alert +2. **Query**: Run MQL query +3. **Filter**: Filter results by condition +4. **LLM**: Analyze data with GPT-4/Claude +5. **Alert**: Send to Slack, PagerDuty, email +6. **Condition**: Branch based on condition + +**Example Workflow**: +``` +Trigger (every 15min) + → Query (errors in last 15min) + → Filter (count > 10) + → LLM ("Analyze these errors and suggest root cause") + → Alert (Slack #incidents with LLM analysis) +``` + +**UI**: +- Drag-and-drop canvas +- Node library palette +- Connection lines with arrows +- Test mode (dry-run workflow) +- Execution history viewer + +--- + +## Conclusion + +This roadmap provides a clear path for Monoscope to reach Datadog and Grafana parity while maintaining its unique differentiators: + +1. **S3-native storage** for cost-effective long-term retention +2. **AI-powered insights** for anomaly detection and root cause analysis +3. **Natural language queries** for accessibility + +By executing Phase 1 (Foundation) in Q1 2026, Phase 2 (Advanced Features) in Q2-Q3 2026, and Phase 3 (Enterprise) in Q4 2026 - Q1 2027, Monoscope will be positioned as a credible alternative to incumbents with compelling cost and AI advantages. + +**The key is to prioritize ruthlessly**: Ship dashboard variables, service maps, alert routing, and RBAC before venturing into RUM or synthetic monitoring. Build the foundation first, then differentiate with AI capabilities. + +Let's build the future of observability. 🚀