Here’s a clean, first‑time‑friendly blueprint for a **deterministic crash analyzer pipeline** you can drop into Stella Ops (or any CI/CD + observability stack). --- # What this thing does (in plain words) It ingests a crash “evidence tile” (a signed, canonical JSON blob + hash), looks up symbols from your chosen stores (ELF/PDB/dSYM), unwinds the stack deterministically, and returns a **stable, symbol‑pinned call stack** plus a **replay manifest** so you can reproduce the exact same result later—bit‑for‑bit. --- # The contract ### Input (strict, deterministic) * **signed_evidence_tile**: Canonical JSON (JCS) with your payload (e.g., OS, arch, registers, fault addr, module list) and its `sha256`. * Canonicalization must follow **RFC 8785 JCS** to make the hash verifiable. * **symbol_pointers**: * ELF: debuginfod build‑id URIs * Windows: PDB GUID+Age * Apple: dSYM UUID * **unwind_context**: register snapshot, preference flags (e.g., “prefer unwind tables over frame‑pointers”), OS/ABI hints. * **deterministic_seed**: single source of truth for any randomized tie‑breakers or heuristics. ### Output * **call_stack**: ordered vector of frames * `addr`, `symbol_id`, optional `file:line`, `symbol_resolution_confidence`, and `resolver` (which backend won). * **replay_manifest**: `{ seed, env_knobs, symbol_bundle_pointer }` so you (or CI) can re‑run the exact same resolution later. --- # Resolver abstraction (so CI can fan‑out) Define a tiny interface and run resolvers in parallel; record who succeeded: ```ts type Platform = "linux" | "windows" | "apple"; interface ResolveResult { symbol_id: string; // stable id in your store file?: string; line?: number; confidence: number; // 0..1 resolver: string; // e.g., "debuginfod", "dia", "dsymutil" } function resolve(address: string, platform: Platform, bundle_hint?: string): ResolveResult | null; ``` **Backends:** * **Linux/ELF**: debuginfod (by build‑id), DWARF/unwind tables. * **Windows**: DIA/PDB (by GUID+Age). * **Apple**: dSYM/DWARF (by UUID), `atos`/`llvm-symbolizer` flow if desired. --- # Deterministic ingest & hashing * Parse incoming JSON → **canonicalize via JCS** → compute `sha256` → verify signature → only then proceed. * Persist `{canonical_json, sha256, signature, received_at}` so downstream stages always pull the exact blob. --- # Unwinding & symbolization pipeline (deterministic) 1. **Normalize modules** (match load addresses → build‑ids/GUIDs/UUIDs). 2. **Unwind** using the declared policy in `unwind_context` (frame pointers vs. EH/CFI tables). 3. For each PC: * **Parallel resolve** via resolvers (`debuginfod`, DIA/PDB, dSYM). * Pick the winner by **deterministic reducer**: highest `confidence`, then lexical tie‑break using `deterministic_seed`. 4. Emit frames with `symbol_id` (stable, content‑addressed if possible), and optional `file:line`. --- # Telemetry & SLOs (what to measure) * **replay_success_ratio** (golden ≥ **95%**) — same input → same output. * **symbol_coverage_pct** (prod ≥ **90%**) — % of frames resolved to symbols. * **verify_time_ms** (median ≤ **3000 ms**) — signature + hash + canonicalization + core steps. * **resolver_latency_ms** per backend — for tuning caches and fallbacks. --- # Trade‑offs (make them explicit) * **On‑demand decompilation / function‑matching** * ✅ Higher confidence on stripped binaries * ❌ More CPU/latency; potentially leaks more symbol metadata (privacy) * **Progressive fetch + partial symbolization** * ✅ Lower latency, good UX under load * ❌ Lower confidence on some frames; riskier explainability (false positives) Pick per environment via `env_knobs` and record that in the `replay_manifest`. --- # Minimal wire formats (copy/paste ready) ### Evidence tile (canonical, pre‑hash) ```json { "evidence_version": 1, "platform": "linux", "arch": "x86_64", "fault_addr": "0x7f1a2b3c", "registers": { "rip": "0x7f1a2b3c", "rsp": "0x7ffd...", "rbp": "0x..." }, "modules": [ {"name":"svc","base":"0x400000","build_id":"a1b2c3..."}, {"name":"libc.so.6","base":"0x7f...","build_id":"d4e5f6..."} ], "ts_unix_ms": 1739999999999 } ``` ### Analyzer request ```json { "signed_evidence_tile": { "jcs_json": "", "sha256": "f1c2...deadbeef", "signature": "dsse/…" }, "symbol_pointers": { "linux": ["debuginfod:buildid:a1b2c3..."], "windows": ["pdb:GUID+Age:..."], "apple": ["dsym:UUID:..."] }, "unwind_context": { "prefer_unwind_tables": true, "stack_limit_bytes": 262144 }, "deterministic_seed": "6f5d7d1e-..." } ``` ### Analyzer response ```json { "call_stack": [ { "addr": "0x400abc", "symbol_id": "svc@a1b2c3...:main", "file": "main.cpp", "line": 127, "symbol_resolution_confidence": 0.98, "resolver": "debuginfod" } ], "replay_manifest": { "seed": "6f5d7d1e-...", "env_knobs": { "progressive_fetch": true, "max_resolvers": 3 }, "symbol_bundle_pointer": "bundle://a1b2c3.../svc.sym" } } ``` --- # How this plugs into Stella Ops * **EvidenceLocker**: store the JCS‑canonical tile + DSSE signature + sha256. * **AdvisoryAI**: consume symbol‑pinned stacks as first‑class facts for RCA, search, and explanations. * **Attestor**: sign analyzer outputs (DSSE) and attach to Releases/Incidents. * **CI**: on build, publish symbol bundles (ELF build‑id / PDB GUID+Age / dSYM UUID) to your internal stores; register debuginfod endpoints. * **SLO dashboards**: show coverage, latency, and replay ratio by service and release. --- # Quick implementation checklist * [ ] JCS canonicalization + sha256 + DSSE verify gate * [ ] Resolver interface + parallel fan‑out + deterministic reducer * [ ] debuginfod client (ELF), DIA/PDB (Windows), dSYM/DWARF (Apple) adapters * [ ] Unwinder with policy switches (frame‑ptr vs. CFI) * [ ] Content‑addressed `symbol_id` scheme * [ ] Replay harness honoring `replay_manifest` * [ ] Metrics emitters + SLO dashboards * [ ] Privacy guardrails (strip/leak‑check symbol metadata by env) --- If you want, I can generate a tiny reference service (Go or C#) with: JCS canonicalizer, debuginfod lookup, DIA shim, dSYM flow, and the exact JSON contracts above so you can drop it into your build & incident pipeline.