Files
rippled/OpenTelemetryPlan/06-implementation-phases.md
Pratik Mankawde 913a4b794c docs: correct OTel overhead estimates against SDK benchmarks
Verified CPU, memory, and network overhead calculations against
official OTel C++ SDK benchmarks (969 CI runs) and source code
analysis. Key corrections:

- Span creation: 200-500ns → 500-1000ns (SDK BM_SpanCreation median
  ~1000ns; original estimate matched API no-op, not SDK path)
- Per-TX overhead: 2.4μs → 4.0μs (2.0% vs 1.2%; still within 1-3%)
- Active span memory: ~200 bytes → ~500-800 bytes (Span wrapper +
  SpanData + std::map attribute storage)
- Static memory: ~456KB → ~8.3MB (BatchSpanProcessor worker thread
  stack ~8MB was omitted)
- Total memory ceiling: ~2.3MB → ~10MB
- Memory success metric target: <5MB → <10MB
- AddEvent: 50-80ns → 100-200ns

Added Section 3.5.4 with links to all benchmark sources.
Updated presentation.md with matching corrections.
High-level conclusions unchanged (1-3% CPU, negligible consensus).

Also includes: review fixes, cross-document consistency improvements,
additional component tracing docs (PathFinding, TxQ, Validator, etc.),
context size corrections (32 → 25 bytes).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-16 15:00:47 +01:00

24 KiB

Implementation Phases

Parent Document: OpenTelemetryPlan.md Related: Configuration Reference | Observability Backends


6.1 Phase Overview

TxQ = Transaction Queue

gantt
    title OpenTelemetry Implementation Timeline
    dateFormat  YYYY-MM-DD
    axisFormat  Week %W

    section Phase 1
    Core Infrastructure        :p1, 2024-01-01, 2w
    SDK Integration           :p1a, 2024-01-01, 4d
    Telemetry Interface       :p1b, after p1a, 3d
    Configuration & CMake     :p1c, after p1b, 3d
    Unit Tests                :p1d, after p1c, 2d
    Buffer & Integration      :p1e, after p1d, 2d

    section Phase 2
    RPC Tracing               :p2, after p1, 2w
    HTTP Context Extraction   :p2a, after p1, 2d
    RPC Handler Instrumentation :p2b, after p2a, 4d
    PathFinding Instrumentation :p2f, after p2b, 2d
    TxQ Instrumentation       :p2g, after p2f, 2d
    WebSocket Support         :p2c, after p2g, 2d
    Integration Tests         :p2d, after p2c, 2d
    Buffer & Review           :p2e, after p2d, 4d

    section Phase 3
    Transaction Tracing       :p3, after p2, 2w
    Protocol Buffer Extension :p3a, after p2, 2d
    PeerImp Instrumentation   :p3b, after p3a, 3d
    Fee Escalation Instrumentation :p3f, after p3b, 2d
    Relay Context Propagation :p3c, after p3f, 3d
    Multi-node Tests          :p3d, after p3c, 2d
    Buffer & Review           :p3e, after p3d, 4d

    section Phase 4
    Consensus Tracing         :p4, after p3, 2w
    Consensus Round Spans     :p4a, after p3, 3d
    Proposal Handling         :p4b, after p4a, 3d
    Validator List & Manifest Tracing :p4f, after p4b, 2d
    Amendment Voting Tracing  :p4g, after p4f, 2d
    SHAMap Sync Tracing       :p4h, after p4g, 2d
    Validation Tests          :p4c, after p4h, 4d
    Buffer & Review           :p4e, after p4c, 4d

    section Phase 5
    Documentation & Deploy    :p5, after p4, 1w

6.2 Phase 1: Core Infrastructure (Weeks 1-2)

Objective: Establish foundational telemetry infrastructure

Tasks

Task Description
1.1 Add OpenTelemetry C++ SDK to Conan/CMake
1.2 Implement Telemetry interface and factory
1.3 Implement SpanGuard RAII wrapper
1.4 Implement configuration parser
1.5 Integrate into ApplicationImp
1.6 Add conditional compilation (XRPL_ENABLE_TELEMETRY)
1.7 Create NullTelemetry no-op implementation
1.8 Unit tests for core infrastructure

Exit Criteria

  • OpenTelemetry SDK compiles and links
  • Telemetry can be enabled/disabled via config
  • Basic span creation works
  • No performance regression when disabled
  • Unit tests passing

6.3 Phase 2: RPC Tracing (Weeks 3-4)

TxQ = Transaction Queue

Objective: Complete tracing for all RPC operations

Tasks

Task Description
2.1 Implement W3C Trace Context HTTP header extraction
2.2 Instrument ServerHandler::onRequest()
2.3 Instrument RPCHandler::doCommand()
2.4 Add RPC-specific attributes
2.5 Instrument WebSocket handler
2.6 PathFinding instrumentation (pathfind.request, pathfind.compute spans)
2.7 TxQ instrumentation (txq.enqueue, txq.apply spans)
2.8 Integration tests for RPC tracing
2.9 Performance benchmarks
2.10 Documentation

Exit Criteria

  • All RPC commands traced
  • Trace context propagates from HTTP headers
  • WebSocket and HTTP both instrumented
  • <1ms overhead per RPC call
  • Integration tests passing

6.4 Phase 3: Transaction Tracing (Weeks 5-6)

Objective: Trace transaction lifecycle across network

Tasks

Task Description
3.1 Define TraceContext Protocol Buffer message
3.2 Implement protobuf context serialization
3.3 Instrument PeerImp::handleTransaction()
3.4 Instrument NetworkOPs::submitTransaction()
3.5 Instrument HashRouter integration
3.6 Fee escalation instrumentation (fee.escalate span)
3.7 Implement relay context propagation
3.8 Integration tests (multi-node)
3.9 Performance benchmarks

Exit Criteria

  • Transaction traces span across nodes
  • Trace context in Protocol Buffer messages
  • HashRouter deduplication visible in traces
  • Multi-node integration tests passing
  • <5% overhead on transaction throughput

6.5 Phase 4: Consensus Tracing (Weeks 7-8)

Objective: Full observability into consensus rounds

Tasks

Task Description
4.1 Instrument RCLConsensusAdaptor::startRound()
4.2 Instrument phase transitions
4.3 Instrument proposal handling
4.4 Instrument validation handling
4.5 Add consensus-specific attributes
4.6 Correlate with transaction traces
4.7 Validator list and manifest tracing
4.8 Amendment voting tracing
4.9 SHAMap sync tracing
4.10 Multi-validator integration tests
4.11 Performance validation

Exit Criteria

  • Complete consensus round traces
  • Phase transitions visible
  • Proposals and validations traced
  • No impact on consensus timing
  • Multi-validator test network validated

Implementation Status — Phase 4a Complete

Phase 4a (establish-phase gap fill & cross-node correlation) adds:

  • Deterministic trace ID derived from previousLedger.id() so all validators in the same round share the same trace_id (switchable via consensus_trace_strategy config: "deterministic" or "attribute"). See Configuration Reference for full configuration options. The consensus_trace_strategy option will be documented in the configuration reference as part of Phase 4a implementation.
  • Round lifecycle spans: consensus.round with round-to-round span links.
  • Establish phase: consensus.establish, consensus.update_positions (with dispute.resolve events), consensus.check (with threshold tracking).
  • Mode changes: consensus.mode_change spans.
  • Validation: consensus.validation.send with span link to round span (thread-safe cross-thread access via roundSpanContext_ snapshot).
  • Separation of concerns: telemetry extracted to private helpers (startRoundTracing, createValidationSpan, startEstablishTracing, updateEstablishTracing, endEstablishTracing).

See Phase4_taskList.md for the full spec and implementation notes.


6.6 Phase 5: Documentation & Deployment (Week 9)

Objective: Production readiness

Tasks

Task Description
5.1 Operator runbook
5.2 Grafana dashboards
5.3 Alert definitions
5.4 Collector deployment examples
5.5 Developer documentation
5.6 Training materials
5.7 Final integration testing

6.7 Risk Assessment

quadrantChart
    title Risk Assessment Matrix
    x-axis Low Impact --> High Impact
    y-axis Low Likelihood --> High Likelihood
    quadrant-1 Mitigate Immediately
    quadrant-2 Plan Mitigation
    quadrant-3 Accept Risk
    quadrant-4 Monitor Closely

    SDK Compat: [0.2, 0.18]
    Protocol Chg: [0.75, 0.72]
    Perf Overhead: [0.58, 0.42]
    Context Prop: [0.4, 0.55]
    Memory Leaks: [0.85, 0.25]

Risk Details

Risk Likelihood Impact Mitigation
Protocol changes break compatibility Medium High Use high field numbers, optional fields
Performance overhead unacceptable Medium Medium Sampling, conditional compilation
Context propagation complexity Medium Medium Phased rollout, extensive testing
SDK compatibility issues Low Medium Pin SDK version, fallback to no-op
Memory leaks in long-running nodes Low High Memory profiling, bounded queues

6.8 Success Metrics

Metric Target Measurement
Trace coverage >95% of transaction code paths (independent of sampling ratio) Sampling verification
CPU overhead <3% Benchmark tests
Memory overhead <10 MB Memory profiling
Latency impact (p99) <2% Performance tests
Trace completeness >99% spans with required attrs Validation script
Cross-node trace linkage >90% of multi-hop transactions Integration tests

6.9 Quick Wins and Crawl-Walk-Run Strategy

TxQ = Transaction Queue

This section outlines a prioritized approach to maximize ROI with minimal initial investment.

6.9.1 Crawl-Walk-Run Overview

flowchart TB
    subgraph crawl["🐢 CRAWL (Week 1-2)"]
        direction LR
        c1[Core SDK Setup] ~~~ c2[RPC Tracing Only] ~~~ c3[PathFinding + TxQ Tracing] ~~~ c4[Single Node]
    end

    subgraph walk["🚶 WALK (Week 3-5)"]
        direction LR
        w1[Transaction Tracing] ~~~ w2[Fee Escalation Tracing] ~~~ w3[Cross-Node Context] ~~~ w4[Basic Dashboards]
    end

    subgraph run["🏃 RUN (Week 6-9)"]
        direction LR
        r1[Consensus Tracing] ~~~ r2[Validator, Amendment,<br/>SHAMap Tracing] ~~~ r3[Full Correlation] ~~~ r4[Production Deploy]
    end

    crawl --> walk --> run

    style crawl fill:#1b5e20,stroke:#0d3d14,color:#fff
    style walk fill:#bf360c,stroke:#8c2809,color:#fff
    style run fill:#0d47a1,stroke:#082f6a,color:#fff
    style c1 fill:#1b5e20,stroke:#0d3d14,color:#fff
    style c2 fill:#1b5e20,stroke:#0d3d14,color:#fff
    style c3 fill:#1b5e20,stroke:#0d3d14,color:#fff
    style c4 fill:#1b5e20,stroke:#0d3d14,color:#fff
    style w1 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
    style w2 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
    style w3 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
    style w4 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
    style r1 fill:#0d47a1,stroke:#082f6a,color:#fff
    style r2 fill:#0d47a1,stroke:#082f6a,color:#fff
    style r3 fill:#0d47a1,stroke:#082f6a,color:#fff
    style r4 fill:#0d47a1,stroke:#082f6a,color:#fff

Reading the diagram:

  • CRAWL (Weeks 1-2): Minimal investment -- set up the SDK, instrument RPC and PathFinding/TxQ handlers, and verify on a single node. Delivers immediate latency visibility.
  • WALK (Weeks 3-5): Expand to transaction lifecycle tracing, fee escalation, cross-node context propagation, and basic Grafana dashboards. This is where distributed tracing starts working.
  • RUN (Weeks 6-9): Full consensus instrumentation, validator/amendment/SHAMap tracing, end-to-end correlation, and production deployment with sampling and alerting.
  • Arrows (crawl → walk → run): Each phase builds on the prior one; you cannot skip ahead because later phases depend on infrastructure established earlier.

6.9.2 Quick Wins (Immediate Value)

Quick Win Value When to Deploy
RPC Command Tracing High Week 2
RPC Latency Histograms High Week 2
Error Rate Dashboard Medium Week 2
Transaction Submit Tracing High Week 3
Consensus Round Duration Medium Week 6

6.9.3 CRAWL Phase (Weeks 1-2)

Goal: Get basic tracing working with minimal code changes.

What You Get:

  • RPC request/response traces for all commands
  • Latency breakdown per RPC command
  • PathFinding and TxQ tracing (directly impacts RPC latency)
  • Error visibility with stack traces
  • Basic Grafana dashboard

Code Changes: ~15 lines in ServerHandler.cpp, ~40 lines in new telemetry module

Why Start Here:

  • RPC is the lowest-risk, highest-visibility component
  • PathFinding and TxQ are RPC-adjacent and directly affect latency
  • Immediate value for debugging client issues
  • No cross-node complexity
  • Single file modification to existing code

6.9.4 WALK Phase (Weeks 3-5)

Goal: Add transaction lifecycle tracing across nodes.

What You Get:

  • End-to-end transaction traces from submit to relay
  • Fee escalation tracing within the transaction pipeline
  • Cross-node correlation (see transaction path)
  • HashRouter deduplication visibility
  • Relay latency metrics

Code Changes: ~120 lines across 4 files, plus protobuf extension

Why Do This Second:

  • Builds on RPC tracing (transactions submitted via RPC)
  • Fee escalation is integral to the transaction processing pipeline
  • Moderate complexity (requires context propagation)
  • High value for debugging transaction issues

6.9.5 RUN Phase (Weeks 6-9)

Goal: Full observability including consensus.

What You Get:

  • Complete consensus round visibility
  • Phase transition timing
  • Validator proposal tracking
  • Validator list and manifest tracing
  • Amendment voting tracing
  • SHAMap sync tracing
  • Full end-to-end traces (client → RPC → TX → consensus → ledger)

Code Changes: ~100 lines across 3 consensus files, plus validator/amendment/SHAMap modules

Why Do This Last:

  • Highest complexity (consensus is critical path)
  • Validator, amendment, and SHAMap components are lower priority
  • Requires thorough testing
  • Lower relative value (consensus issues are rarer)

6.9.6 ROI Prioritization Matrix

quadrantChart
    title Implementation ROI Matrix
    x-axis Low Effort --> High Effort
    y-axis Low Value --> High Value
    quadrant-1 Quick Wins - Do First
    quadrant-2 Major Projects - Plan Carefully
    quadrant-3 Nice to Have - Optional
    quadrant-4 Time Sinks - Avoid

    RPC Tracing: [0.15, 0.92]
    TX Submit Trace: [0.3, 0.78]
    TX Relay Trace: [0.5, 0.88]
    Consensus Trace: [0.72, 0.72]
    Peer Msg Trace: [0.85, 0.3]
    Ledger Acquire: [0.55, 0.52]

6.10 Definition of Done

TxQ = Transaction Queue | HA = High Availability

Clear, measurable criteria for each phase.

6.10.1 Phase 1: Core Infrastructure

Criterion Measurement Target
SDK Integration cmake --build succeeds with -DXRPL_ENABLE_TELEMETRY=ON Compiles
Runtime Toggle enabled=0 produces zero overhead <0.1% CPU difference
Span Creation Unit test creates and exports span Span appears in Tempo
Configuration All config options parsed correctly Config validation tests pass
Documentation Developer guide exists PR approved

Definition of Done: All criteria met, PR merged, no regressions in CI.

6.10.2 Phase 2: RPC Tracing

Criterion Measurement Target
Coverage All RPC commands instrumented 100% of commands
Context Extraction traceparent header propagates Integration test passes
Attributes Command, status, duration recorded Validation script confirms
Performance RPC latency overhead <1ms p99
Dashboard Grafana dashboard deployed Screenshot in docs

Definition of Done: RPC traces visible in Tempo for all commands, dashboard shows latency distribution.

6.10.3 Phase 3: Transaction Tracing

Criterion Measurement Target
Local Trace Submit → validate → TxQ traced Single-node test passes
Cross-Node Context propagates via protobuf Multi-node test passes
Relay Visibility relay_count attribute correct Spot check 100 txs
HashRouter Deduplication visible in trace Duplicate txs show suppressed=true
Performance TX throughput overhead <5% degradation

Definition of Done: Transaction traces span 3+ nodes in test network, performance within bounds.

6.10.4 Phase 4: Consensus Tracing

Criterion Measurement Target
Round Tracing startRound creates root span Unit test passes
Phase Visibility All phases have child spans Integration test confirms
Proposer Attribution Proposer ID in attributes Spot check 50 rounds
Timing Accuracy Phase durations match PerfLog <5% variance
No Consensus Impact Round timing unchanged Performance test passes

Definition of Done: Consensus rounds fully traceable, no impact on consensus timing.

6.10.5 Phase 5: Production Deployment

Criterion Measurement Target
Collector HA Multiple collectors deployed No single point of failure
Sampling Tail sampling configured 10% base + errors + slow
Retention Data retained per policy 7 days hot, 30 days warm
Alerting Alerts configured Error spike, high latency
Runbook Operator documentation Approved by ops team
Training Team trained Session completed

Definition of Done: Telemetry running in production, operators trained, alerts active.

6.10.6 Success Metrics Summary

Phase Primary Metric Secondary Metric Deadline
Phase 1 SDK compiles and runs Zero overhead when disabled End of Week 2
Phase 2 100% RPC coverage <1ms latency overhead End of Week 4
Phase 3 Cross-node traces work <5% throughput impact End of Week 6
Phase 4 Consensus fully traced No consensus timing impact End of Week 8
Phase 5 Production deployment Operators trained End of Week 9

Based on ROI analysis, implement in this exact order:

flowchart TB
    subgraph week1["Week 1"]
        t1[1. OpenTelemetry SDK<br/>Conan/CMake integration]
        t2[2. Telemetry interface<br/>SpanGuard, config]
    end

    subgraph week2["Week 2"]
        t3[3. RPC ServerHandler<br/>instrumentation]
        t4[4. Basic Tempo setup<br/>for testing]
    end

    subgraph week3["Week 3"]
        t5[5. Transaction submit<br/>tracing]
        t6[6. Grafana dashboard<br/>v1]
    end

    subgraph week4["Week 4"]
        t7[7. Protobuf context<br/>extension]
        t8[8. PeerImp tx.relay<br/>instrumentation]
    end

    subgraph week5["Week 5"]
        t9[9. Multi-node<br/>integration tests]
        t10[10. Performance<br/>benchmarks]
    end

    subgraph week6_8["Weeks 6-8"]
        t11[11. Consensus<br/>instrumentation]
        t12[12. Full integration<br/>testing]
    end

    subgraph week9["Week 9"]
        t13[13. Production<br/>deployment]
        t14[14. Documentation<br/>& training]
    end

    t1 --> t2 --> t3 --> t4
    t4 --> t5 --> t6
    t6 --> t7 --> t8
    t8 --> t9 --> t10
    t10 --> t11 --> t12
    t12 --> t13 --> t14

    style week1 fill:#1b5e20,stroke:#0d3d14,color:#fff
    style week2 fill:#1b5e20,stroke:#0d3d14,color:#fff
    style week3 fill:#bf360c,stroke:#8c2809,color:#fff
    style week4 fill:#bf360c,stroke:#8c2809,color:#fff
    style week5 fill:#bf360c,stroke:#8c2809,color:#fff
    style week6_8 fill:#0d47a1,stroke:#082f6a,color:#fff
    style week9 fill:#4a148c,stroke:#2e0d57,color:#fff
    style t1 fill:#1b5e20,stroke:#0d3d14,color:#fff
    style t2 fill:#1b5e20,stroke:#0d3d14,color:#fff
    style t3 fill:#1b5e20,stroke:#0d3d14,color:#fff
    style t4 fill:#1b5e20,stroke:#0d3d14,color:#fff
    style t5 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
    style t6 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
    style t7 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
    style t8 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
    style t9 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
    style t10 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
    style t11 fill:#0d47a1,stroke:#082f6a,color:#fff
    style t12 fill:#0d47a1,stroke:#082f6a,color:#fff
    style t13 fill:#4a148c,stroke:#2e0d57,color:#fff
    style t14 fill:#4a148c,stroke:#2e0d57,color:#fff

Reading the diagram:

  • Week 1 (tasks 1-2): Foundation work -- integrate the OpenTelemetry SDK via Conan/CMake and build the Telemetry interface with SpanGuard and config parsing.
  • Week 2 (tasks 3-4): First observable output -- instrument ServerHandler for RPC tracing and stand up Tempo so developers can see traces immediately.
  • Weeks 3-5 (tasks 5-10): Transaction lifecycle -- add submit tracing, build the first Grafana dashboard, extend protobuf for cross-node context, instrument PeerImp relay, then validate with multi-node integration tests and performance benchmarks.
  • Weeks 6-8 (tasks 11-12): Consensus deep-dive -- instrument consensus rounds and phases, then run full integration testing across all instrumented paths.
  • Week 9 (tasks 13-14): Go-live -- deploy to production with sampling/alerting configured, and deliver documentation and operator training.
  • Arrow chain (t1 → ... → t14): Strict sequential dependency; each task's output is a prerequisite for the next.

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