Instrument the consensus subsystem with OpenTelemetry spans covering
the full round lifecycle: round start, establish phase, proposal send,
ledger close, position updates, consensus check, accept, validation
send, and mode changes.
Key design choices adapted from the original Phase 4 implementation
to the new SpanGuard factory pattern introduced in Phase 3:
- Add SpanGuard::hashSpan() for category-gated hash-derived trace IDs
(consensus round spans share trace_id across validators via ledger hash)
- Add SpanGuard::addEvent() overload with key-value attribute pairs
(used for dispute.resolve events during position updates)
- Add ConsensusSpanNames.h with compile-time span name constants
following the colocated *SpanNames.h pattern from Phase 3
- Add consensusTraceStrategy config option ("deterministic"/"attribute")
for cross-node trace correlation strategy selection
- Use SpanGuard::linkedSpan() for follows-from relationships between
consecutive rounds and cross-thread validation spans
- Use SpanGuard::captureContext() for thread-safe context propagation
from consensus thread to jtACCEPT worker thread
Spans produced: consensus.round, consensus.proposal.send,
consensus.ledger_close, consensus.establish, consensus.update_positions,
consensus.check, consensus.accept, consensus.accept.apply,
consensus.validation.send, consensus.mode_change
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add "hicpp" to cspell dictionary for NOLINT annotations
- Concatenate nested namespaces in RpcSpanNames.h
- Fix include hygiene and nested ternary in RPCHandler.cpp
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Instrument the consensus subsystem with OpenTelemetry spans covering
the full round lifecycle: round start, establish phase, proposal send,
ledger close, position updates, consensus check, accept, validation
send, and mode changes.
Key design choices adapted from the original Phase 4 implementation
to the new SpanGuard factory pattern introduced in Phase 3:
- Add SpanGuard::hashSpan() for category-gated hash-derived trace IDs
(consensus round spans share trace_id across validators via ledger hash)
- Add SpanGuard::addEvent() overload with key-value attribute pairs
(used for dispute.resolve events during position updates)
- Add ConsensusSpanNames.h with compile-time span name constants
following the colocated *SpanNames.h pattern from Phase 3
- Add consensusTraceStrategy config option ("deterministic"/"attribute")
for cross-node trace correlation strategy selection
- Use SpanGuard::linkedSpan() for follows-from relationships between
consecutive rounds and cross-thread validation spans
- Use SpanGuard::captureContext() for thread-safe context propagation
from consensus thread to jtACCEPT worker thread
Spans produced: consensus.round, consensus.proposal.send,
consensus.ledger_close, consensus.establish, consensus.update_positions,
consensus.check, consensus.accept, consensus.accept.apply,
consensus.validation.send, consensus.mode_change
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Introduces task list documents for Phases 2 through 5, with Tempo
references (replacing Jaeger) and Task 2.8 dashboard parity spec.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Redesign SpanGuard with pimpl idiom to hide all OpenTelemetry types
from public headers. Add global Telemetry accessor so SpanGuard factory
methods work without explicit Telemetry references. Add child/linked
span creation and cross-thread context propagation. Update plan docs
to reflect macro removal in favor of SpanGuard factory pattern.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Throwing exceptions from code sometime confuses ASAN, as it cannot keep track of stack frames. This change therefore adds a macro to skip instrumentation around the `Throw` function.
ASAN wasn't able to keep track of `boost::coroutine` context switches, and would lead to many false positives being detected. By switching to `boost::coroutine2` and `ucontext`, ASAN is able to know about the context switches advertised by the `boost::fiber` class, which in turn leads to more cleaner ASAN analysis.