feat: add resilience patterns and event-driven observability

drift/__init__.py

@@ -19,6 +19,8 @@
     load_tusk_config,
 )
 from .core.logger import LogLevel, get_log_level, set_log_level
+from .core.metrics import SDKMetrics, get_sdk_metrics
+from .core.resilience import CircuitBreaker, CircuitBreakerConfig, RetryConfig
 from .core.tracing.adapters import (
     ApiSpanAdapter,
     ApiSpanAdapterConfig,
@@ -59,6 +61,13 @@
     "LogLevel",
     "set_log_level",
     "get_log_level",
+    # Metrics
+    "SDKMetrics",
+    "get_sdk_metrics",
+    # Resilience
+    "RetryConfig",
+    "CircuitBreaker",
+    "CircuitBreakerConfig",
     # Instrumentations
     "FlaskInstrumentation",
     "FastAPIInstrumentation",

drift/core/batch_processor.py

@@ -5,10 +5,13 @@
 import asyncio
 import logging
 import threading
+import time
 from collections import deque
 from dataclasses import dataclass
 from typing import TYPE_CHECKING
 
+from .metrics import get_metrics_collector
+
 if TYPE_CHECKING:
     from .tracing.span_exporter import TdSpanExporter
     from .types import CleanSpanData
@@ -63,6 +66,10 @@ def __init__(
         self._started = False
         self._dropped_spans = 0
 
+        # Set up metrics
+        self._metrics = get_metrics_collector()
+        self._metrics.set_queue_max_size(self._config.max_queue_size)
+
     def start(self) -> None:
         """Start the background export thread."""
         if self._started:
@@ -110,18 +117,36 @@ def add_span(self, span: CleanSpanData) -> bool:
             span: The span to add
 
         Returns:
-            True if span was added, False if queue is full and span was dropped
+            True if span was added, False if queue is full or trace is blocked
         """
+        # Check if span should be blocked (size limit or server error)
+        # Blocks entire trace
+        from .trace_blocking_manager import TraceBlockingManager, should_block_span
+
+        if should_block_span(span):
+            self._dropped_spans += 1
+            self._metrics.record_spans_dropped()
+            return False
+
+        # Check if trace is already blocked
+        if TraceBlockingManager.get_instance().is_trace_blocked(span.trace_id):
+            logger.debug(f"Skipping span '{span.name}' - trace {span.trace_id} is blocked")
+            self._dropped_spans += 1
+            self._metrics.record_spans_dropped()
+            return False
+
         with self._condition:
             if len(self._queue) >= self._config.max_queue_size:
                 self._dropped_spans += 1
+                self._metrics.record_spans_dropped()
                 logger.warning(
                     f"Span queue full ({self._config.max_queue_size}), dropping span. "
                     f"Total dropped: {self._dropped_spans}"
                 )
                 return False
 
             self._queue.append(span)
+            self._metrics.update_queue_size(len(self._queue))
 
             # Trigger immediate export if batch size reached
             if len(self._queue) >= self._config.max_export_batch_size:
@@ -149,6 +174,7 @@ def _export_batch(self) -> None:
         with self._condition:
             while self._queue and len(batch) < self._config.max_export_batch_size:
                 batch.append(self._queue.popleft())
+            self._metrics.update_queue_size(len(self._queue))
 
         if not batch:
             return
@@ -158,6 +184,7 @@ def _export_batch(self) -> None:
 
         # Export to all adapters
         for adapter in adapters:
+            start_time = time.monotonic()
             try:
                 # Handle async adapters (create new event loop for this thread)
                 if asyncio.iscoroutinefunction(adapter.export_spans):
@@ -170,8 +197,13 @@ def _export_batch(self) -> None:
                 else:
                     adapter.export_spans(batch)  # type: ignore
 
+                latency_ms = (time.monotonic() - start_time) * 1000
+                self._metrics.record_spans_exported(len(batch))
+                self._metrics.record_export_latency(latency_ms)
+
             except Exception as e:
                 logger.error(f"Failed to export batch via {adapter.name}: {e}")
+                self._metrics.record_spans_failed(len(batch))
 
     def _force_flush(self) -> None:
         """Force export all remaining spans in the queue."""