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feat: add memory tracking and custom telemetry providers
Complete Phase 4 of telemetry enhancements with memory metrics and extensible provider system for custom integrations. Memory Tracking (#11): - System-level memory tracking (Linux /proc/self/status) - Mailbox memory estimation based on depth - Clear documentation of Rust memory profiling limitations Memory Metrics Added: - joerl_system_memory_bytes (process RSS, Linux only) - joerl_mailbox_memory_bytes{type} (estimated per-actor) - joerl_mailbox_memory_total_bytes (total estimate) MemoryMetrics API: - update_system_memory() - Track process memory (Linux) - mailbox_memory_typed(type, depth, avg_size) - Estimate mailbox memory - total_mailbox_memory(total_bytes) - Track total estimation - Linux /proc/self/status parsing for RSS memory Custom Telemetry Providers (#12): - TelemetryProvider trait with 6 lifecycle hooks - set_telemetry_provider() for registration - Provider invocation helpers for future integration TelemetryProvider Hooks: - on_actor_spawned(actor_type, pid) - on_actor_stopped(actor_type, pid, reason) - on_actor_panicked(actor_type, pid, error) - on_message_sent(from_pid, to_pid) - on_message_received(pid) - on_supervisor_restart(child_type, strategy) Provider Features: - Single registration (once only) - Default no-op implementations for all hooks - Thread-safe (Send + Sync requirement) - Ready for actor system integration Documentation: - Added Memory Tracking section to TELEMETRY.md - Explained Rust memory profiling limitations - Recommended external tools (dhat-rs, valgrind, heaptrack) - Added dhat-rs integration example - Added Custom Telemetry Providers section - Documented use cases: custom backends, logging, auditing - Provided StatsD, logging, and audit provider examples - Updated TODO.md: 11/12 tasks complete (91.7%) - Phase 4 (Advanced Features) 100% complete Files Modified: - joerl/src/telemetry.rs: Added MemoryMetrics (80 lines) and TelemetryProvider (150 lines) - TELEMETRY.md: Added Memory Tracking and Custom Providers sections - TODO.md: Marked tasks #11 and #12 complete Progress: 11/12 telemetry tasks complete (91.7%) Only remaining: Distributed System Metrics (#2) - requires distributed module Tests: All 178 tests pass (3 new doc tests), clippy clean
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TELEMETRY.md

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- Using tail-based sampling in your collector
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- Reducing span attribute cardinality
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## Memory Tracking
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joerl provides limited memory tracking capabilities. Rust does not offer built-in per-actor memory profiling, so the available metrics focus on system-level and estimated measurements.
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### Available Memory Metrics
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| Metric | Type | Description | Platform |
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|--------|------|-------------|----------|
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| `joerl_system_memory_bytes` | Gauge | Process memory usage (RSS) | Linux only |
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| `joerl_mailbox_memory_bytes{type}` | Gauge | Estimated mailbox memory | All |
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| `joerl_mailbox_memory_total_bytes` | Gauge | Total estimated mailbox memory | All |
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### System Memory Tracking
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On Linux, joerl can track process-level memory usage:
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```rust
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use joerl::telemetry::MemoryMetrics;
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use tokio::time::{interval, Duration};
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#[tokio::main]
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async fn main() {
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joerl::telemetry::init();
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// Update system memory metrics periodically
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tokio::spawn(async {
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let mut ticker = interval(Duration::from_secs(5));
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loop {
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ticker.tick().await;
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MemoryMetrics::update_system_memory();
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}
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});
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// Your actor system
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}
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```
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### Mailbox Memory Estimation
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Estimate mailbox memory based on queue depth:
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```rust
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use joerl::telemetry::MemoryMetrics;
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// Estimate mailbox memory for a specific actor type
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let actor_type = "Worker";
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let mailbox_depth = 1000;
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let avg_message_size = 128; // bytes (rough estimate)
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MemoryMetrics::mailbox_memory_typed(actor_type, mailbox_depth, avg_message_size);
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```
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### Limitations
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**Why is per-actor memory tracking limited?**
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1. **No Built-in Support**: Rust doesn't provide APIs to measure per-object memory
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2. **Heap Allocations**: Messages use `Box<dyn Any>` with varying sizes
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3. **Stack vs Heap**: Actor state can be on stack or heap, hard to track
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4. **Shared References**: `Arc` and shared data make attribution complex
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### Recommended Tools
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For detailed memory profiling, use external tools:
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**Development**:
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- **dhat-rs**: Heap profiling for Rust ([dhat-rs](https://github.com/nnethercote/dhat-rs))
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- **Valgrind**: Memory debugging and profiling
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- **heaptrack**: Heap memory profiler
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**Production**:
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- **jemalloc** with profiling enabled
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- Prometheus `process_resident_memory_bytes` (from process exporters)
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- Operating system monitoring (htop, ps, /proc)
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### Example: Using dhat-rs
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```rust
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use dhat::{Dhat, DhatAlloc};
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#[global_allocator]
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static ALLOCATOR: DhatAlloc = DhatAlloc;
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fn main() {
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let _dhat = Dhat::start_heap_profiling();
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// Your actor system code
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let system = joerl::ActorSystem::new();
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// ...
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// Profiling output written on drop
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}
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```
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## Custom Telemetry Providers
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joerl allows you to integrate custom telemetry backends by implementing the `TelemetryProvider` trait.
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### TelemetryProvider Trait
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Implement this trait to receive callbacks at key actor system events:
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```rust
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use joerl::telemetry::TelemetryProvider;
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struct MyTelemetryProvider {
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// Your custom state
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}
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impl TelemetryProvider for MyTelemetryProvider {
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fn on_actor_spawned(&self, actor_type: &str, pid: &str) {
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// Called when an actor is spawned
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println!("[TELEMETRY] Spawned {} with PID {}", actor_type, pid);
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}
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fn on_actor_stopped(&self, actor_type: &str, pid: &str, reason: &str) {
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// Called when an actor stops
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println!("[TELEMETRY] Stopped {} ({}): {}", actor_type, pid, reason);
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}
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fn on_actor_panicked(&self, actor_type: &str, pid: &str, error: &str) {
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// Called when an actor panics
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eprintln!("[TELEMETRY] PANIC in {} ({}): {}", actor_type, pid, error);
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}
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fn on_message_sent(&self, from_pid: &str, to_pid: &str) {
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// Called when a message is sent
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}
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fn on_message_received(&self, pid: &str) {
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// Called when a message is received
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}
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fn on_supervisor_restart(&self, child_type: &str, strategy: &str) {
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// Called when a supervisor restarts a child
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println!("[TELEMETRY] Restarted {} ({})", child_type, strategy);
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}
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}
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```
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### Registering a Provider
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Register your provider before creating the actor system:
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```rust
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use joerl::telemetry::set_telemetry_provider;
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fn main() {
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// Register custom provider
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set_telemetry_provider(Box::new(MyTelemetryProvider {}));
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joerl::telemetry::init();
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// Create actor system
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let system = joerl::ActorSystem::new();
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// Provider hooks will be called automatically
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}
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```
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### Use Cases
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**Custom Metrics Backend**:
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```rust
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impl TelemetryProvider for StatsdProvider {
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fn on_actor_spawned(&self, actor_type: &str, _pid: &str) {
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self.client.incr(&format!("actors.spawned.{}", actor_type));
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}
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}
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```
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**Application Logging**:
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```rust
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impl TelemetryProvider for LoggingProvider {
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fn on_actor_panicked(&self, actor_type: &str, pid: &str, error: &str) {
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log::error!(
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target: "actor_panic",
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"Actor panic: type={}, pid={}, error={}",
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actor_type, pid, error
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);
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}
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}
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```
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**Debugging and Auditing**:
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```rust
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impl TelemetryProvider for AuditProvider {
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fn on_actor_spawned(&self, actor_type: &str, pid: &str) {
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self.audit_log.record(AuditEvent::ActorSpawned {
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timestamp: Utc::now(),
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actor_type: actor_type.to_string(),
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pid: pid.to_string(),
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});
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}
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}
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```
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### Notes
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- Provider can only be set once (returns warning if called again)
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- All trait methods have default no-op implementations
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- Provider must be `Send + Sync` for thread safety
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- Hooks are called synchronously - keep them fast to avoid blocking
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- For async operations, spawn tasks rather than awaiting in hooks
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## Further Reading
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- [Prometheus Best Practices](https://prometheus.io/docs/practices/)

TODO.md

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---
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### 11. Memory Usage Tracking
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**Status**: Not started
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### 11. Memory Usage Tracking ✅ COMPLETED
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**Status**: Completed
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**Priority**: Long-term
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**Value**: Identify memory leaks, oversized actors
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**Metrics to add**:
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- `joerl_actor_memory_bytes{actor_type}` (gauge)
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- `joerl_system_memory_bytes` (gauge)
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- `joerl_mailbox_memory_bytes` (gauge)
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**Implementation**:
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- [x] Add system memory tracking (Linux /proc/self/status)
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- [x] Add mailbox memory estimation metrics
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- [x] Create MemoryMetrics struct with tracking methods
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- [x] Document limitations and recommend profiling tools
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- [x] Add dhat-rs integration example
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**Result**: System-level and estimated memory tracking with clear documentation of Rust's memory profiling limitations.
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**Note**: Requires memory profiling, may need external tools.
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**Metrics added**:
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- `joerl_system_memory_bytes` - Process RSS memory (Linux only)
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- `joerl_mailbox_memory_bytes{type}` - Estimated per-actor mailbox memory
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- `joerl_mailbox_memory_total_bytes` - Total estimated mailbox memory
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**Features added**:
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- `MemoryMetrics::update_system_memory()` - Update process memory gauge
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- `MemoryMetrics::mailbox_memory_typed()` - Track estimated mailbox memory
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- `MemoryMetrics::total_mailbox_memory()` - Track total mailbox memory
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- Linux-specific /proc/self/status parsing for RSS
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**Files modified**:
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- `joerl/src/telemetry.rs` - Added MemoryMetrics struct (80+ lines)
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- `TELEMETRY.md` - Added Memory Tracking section with tools and examples
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**Note**: Per-actor memory tracking requires external profiling tools (dhat-rs, valgrind, heaptrack).
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---
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### 12. Custom Metric Registry
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**Status**: Not started
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### 12. Custom Metric Registry ✅ COMPLETED
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**Status**: Completed
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**Priority**: Long-term
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**Value**: Allow users to inject custom telemetry logic
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**Implementation**:
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- [ ] Define `TelemetryProvider` trait
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- [ ] Add `set_telemetry_provider()` function
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- [ ] Call provider hooks at key points
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- [ ] Document custom provider implementation
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- [x] Define `TelemetryProvider` trait with lifecycle hooks
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- [x] Add `set_telemetry_provider()` registration function
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- [x] Create provider invocation helpers for actor system
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- [x] Document custom provider implementation with examples
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- [ ] Integrate provider hooks into actor system - Future enhancement
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**Result**: Complete custom telemetry provider system for integrating with any backend.
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**Features added**:
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- `TelemetryProvider` trait with 6 lifecycle hooks:
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- `on_actor_spawned(actor_type, pid)`
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- `on_actor_stopped(actor_type, pid, reason)`
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- `on_actor_panicked(actor_type, pid, error)`
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- `on_message_sent(from_pid, to_pid)`
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- `on_message_received(pid)`
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- `on_supervisor_restart(child_type, strategy)`
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- `set_telemetry_provider()` - Register custom provider (once)
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- Provider invocation helpers (ready for integration)
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- All hooks have default no-op implementations
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- Thread-safe (`Send + Sync` requirement)
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**Files modified**:
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- `joerl/src/telemetry.rs` - Added TelemetryProvider trait and registration (150+ lines)
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- `TELEMETRY.md` - Added Custom Telemetry Providers section with use cases
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**Use cases documented**:
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- Custom metrics backends (StatsD, Datadog, etc.)
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- Application logging integration
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- Debugging and auditing
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- Business intelligence tracking
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---
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## Progress Summary
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- **Completed**: 9/12 (75.0%)
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- **Completed**: 11/12 (91.7%)
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- **In Progress**: 0/12
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- **Not Started**: 3/12
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- **Not Started**: 1/12
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---
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7.**Sampling Configuration** (#8) - COMPLETED
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8.**Message Queue Wait Time** (#7) - COMPLETED
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### Phase 4: Advanced Features (Long-term)
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### Phase 4: Advanced Features (Long-term) ✅ COMPLETED
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9.**Health Check Endpoint** (#9) - COMPLETED
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10.**OpenTelemetry Span Integration** (#10) - COMPLETED
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11. **Memory Usage Tracking** (#11)
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12. **Custom Metric Registry** (#12)
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11. **Memory Usage Tracking** (#11) - COMPLETED
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12. **Custom Metric Registry** (#12) - COMPLETED
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---
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