Create Client side metrics

memorystore/redis/client_side_metrics/main.py

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+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import time
+import redis
+from redis.exceptions import ConnectionError, TimeoutError
+from opentelemetry import trace, metrics
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
+from opentelemetry.exporter.cloud_trace import CloudTraceSpanExporter
+from opentelemetry.sdk.metrics import MeterProvider
+from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
+from opentelemetry.exporter.cloud_monitoring import CloudMonitoringMetricsExporter
+from opentelemetry.instrumentation.redis import RedisInstrumentor
+
+# 1. Initialize Tracing
+tracer_provider = TracerProvider()
+tracer_provider.add_span_processor(BatchSpanProcessor(CloudTraceSpanExporter()))
+trace.set_tracer_provider(tracer_provider)
+tracer = trace.get_tracer("redis.client")
+
+# 2. Initialize Metrics
+metrics_exporter = CloudMonitoringMetricsExporter()
+metric_reader = PeriodicExportingMetricReader(metrics_exporter, export_interval_millis=10000)
+meter_provider = MeterProvider(metric_readers=[metric_reader])
+metrics.set_meter_provider(meter_provider)
+meter = metrics.get_meter("redis.metrics")
+
+rtt_hist = meter.create_histogram("redis_client_rtt", unit="ms")
+client_block_hist = meter.create_histogram("redis_client_blocking_latency", unit="ms")
+app_block_hist = meter.create_histogram("redis_application_blocking_latency", unit="ms")
+retry_counter = meter.create_counter("redis_retry_count")
+conn_error_counter = meter.create_counter("redis_connectivity_error_count")
+
+retry_counter.add(0, {"operation": "startup"})
+conn_error_counter.add(0, {"operation": "startup"})
+
+# 3. Setup Redis
+RedisInstrumentor().instrument()
+redis_host = os.environ.get("REDISHOST", "localhost")
+redis_port = int(os.environ.get("REDISPORT", 6379))
+
+pool = redis.ConnectionPool(host=redis_host, port=redis_port, max_connections=10, decode_responses=True)
+r = redis.Redis(connection_pool=pool)
+
+def smart_redis_call(operation_name, func, *args, **kwargs):
+    max_retries = 3
+    attempt = 0
+
+    pool_start = time.time()
+    try:
+        conn = pool.get_connection('PING')
+        pool.release(conn)
+    except Exception:
+        pass
+    client_block_hist.record((time.time() - pool_start) * 1000, {"operation": operation_name})
+
+    while attempt < max_retries:
+        try:
+            req_start = time.time()
+            response = func(*args, **kwargs)
+            rtt_hist.record((time.time() - req_start) * 1000, {"operation": operation_name})
+
+            app_start = time.time()
+            _ = str(response)
+            app_block_hist.record((time.time() - app_start) * 1000, {"operation": operation_name})
+
+            return response
+
+        except (ConnectionError, TimeoutError) as e:
+            attempt += 1
+            conn_error_counter.add(1, {"operation": operation_name})
+            retry_counter.add(1, {"operation": operation_name})
+            if attempt >= max_retries:
+                raise e
+            time.sleep((2 ** attempt) * 0.1)
+
+if __name__ == "__main__":
+    with tracer.start_as_current_span("process_user_span"):
+        try:
+            # Simple write and read operations
+            smart_redis_call("set_user", r.set, "user:123", "active")
+
+            result = smart_redis_call("get_user", r.get, "user:123")
+            print(f"Retrieved: {result}")
+        except Exception as e:
+            print(f"Error: {e}")
+
+    tracer_provider.force_flush()
+    meter_provider.force_flush()