Configure OpenTelemetry
Valkey GLIDE 2.0 introduces support for OpenTelemetry (OTel), enabling developers to gain deep insights into client-side performance and behavior in distributed systems.
Getting Started
Section titled “Getting Started”To begin collecting telemetry data with GLIDE 2.0:
- Set up an OpenTelemetry Collector to receive trace and metric data.
- Configure the GLIDE client with the endpoint to your collector.
- Alternatively, you can configure GLIDE to export telemetry data directly to a local file for development or debugging purposes, without requiring a running collector.
GLIDE does not export data directly to third-party services—instead, it sends data to your collector, which routes it to your backend (e.g., CloudWatch, Prometheus, Jaeger).
Example
Section titled “Example”from glide import OpenTelemetry, OpenTelemetryConfig, OpenTelemetryTracesConfig, OpenTelemetryMetricsConfig
OpenTelemetry.init(OpenTelemetryConfig( traces=OpenTelemetryTracesConfig( endpoint="http://localhost:4318/v1/traces", sample_percentage=10 # Optional, defaults to 1. Can also be changed at runtime via set_sample_percentage(). ), metrics=OpenTelemetryMetricsConfig( endpoint="http://localhost:4318/v1/metrics" ), flush_interval_ms=1000 # Optional, defaults to 5000))import glide.api.OpenTelemetry;
OpenTelemetry.init( OpenTelemetry.OpenTelemetryConfig.builder() .traces( OpenTelemetry.TracesConfig.builder() .endpoint("http://localhost:4318/v1/traces") .samplePercentage(10) // Optional, defaults to 1. Can also be changed at runtime via setSamplePercentage(). .build() ) .metrics( OpenTelemetry.MetricsConfig.builder() .endpoint("http://localhost:4318/v1/metrics") .build() ) .flushIntervalMs(1000L) // Optional, defaults to 5000 .build());import { OpenTelemetry, OpenTelemetryConfig, OpenTelemetryTracesConfig, OpenTelemetryMetricsConfig } from "@valkey/valkey-glide";
// Define traces configurationconst tracesConfig: OpenTelemetryTracesConfig = { endpoint: "http://localhost:4318/v1/traces", samplePercentage: 10 // Optional, defaults to 1%};
// Define metrics configurationconst metricsConfig: OpenTelemetryMetricsConfig = { endpoint: "http://localhost:4318/v1/metrics"};
// Complete OpenTelemetry configurationconst openTelemetryConfig: OpenTelemetryConfig = { traces: tracesConfig, // Optional: can omit if only metrics are needed metrics: metricsConfig, // Optional: can omit if only traces are needed flushIntervalMs: 1000 // Optional, defaults to 5000 ms};
// Initialize OpenTelemetry (can only be called once per process)OpenTelemetry.init(openTelemetryConfig);import "github.com/valkey-io/valkey-glide/go/v2"
interval := int64(1000)config := glide.OpenTelemetryConfig{ Traces: &glide.OpenTelemetryTracesConfig{ Endpoint: "http://localhost:4318/v1/traces", SamplePercentage: 10, // Optional, defaults to 1. Can also be changed at runtime via `SetSamplePercentage()` }, Metrics: &glide.OpenTelemetryMetricsConfig{ Endpoint: "http://localhost:4318/v1/metrics", }, FlushIntervalMs: &interval, // Optional, defaults to 5000}err := glide.GetOtelInstance().Init(config)if err != nil { log.Fatalf("Failed to initialize OpenTelemetry: %v", err)}using Valkey.Glide;
OpenTelemetry.Init( OpenTelemetryConfig.CreateBuilder() .WithTraces( TracesConfig.CreateBuilder() .WithEndpoint("http://localhost:4318/v1/traces") .WithSamplePercentage(10) // Optional, defaults to 1. Can also be changed at runtime via SetSamplePercentage(). .Build() ) .WithMetrics( MetricsConfig.CreateBuilder() .WithEndpoint("http://localhost:4318/v1/metrics") .Build() ) .WithFlushInterval(TimeSpan.FromSeconds(1)) // Optional, defaults to 5000 ms .Build());use ValkeyGlide\OpenTelemetry\{OpenTelemetryConfig, TracesConfig, MetricsConfig};
$otelConfig = OpenTelemetryConfig::builder() ->traces( TracesConfig::builder() ->endpoint('http://localhost:4318/v1/traces') ->samplePercentage(10) // Optional, defaults to 1 ->build() ) ->metrics( MetricsConfig::builder() ->endpoint('http://localhost:4318/v1/metrics') ->build() ) ->flushIntervalMs(1000) // Optional, defaults to 5000 ->build();
// Pass configuration to client via advanced_config$client = new ValkeyGlide();$client->connect( addresses: [['host' => 'localhost', 'port' => 6379]], advanced_config: ['otel' => $otelConfig]);Configuration Options
Section titled “Configuration Options”When initializing OpenTelemetry, you can customize behavior using the configuration object.
| Configuration | Type | Required | Default | Description |
|---|---|---|---|---|
| traces.endpoint | String | Yes (if traces enabled) | - | The trace collector endpoint URL. Supports http://, https://, grpc://, or file:// protocols. |
| traces.samplePercentage | Integer | No | 1 | Percentage (0–100) of commands to sample for tracing. For production, a low sampling rate (1–5%) is recommended to balance performance and insight. Can be changed at runtime. |
| metrics.endpoint | String | Yes (if metrics enabled) | - | The metrics collector endpoint URL. Supports http://, https://, grpc://, or file:// protocols. |
| flushIntervalMs | Integer | No | 5000 | Time in milliseconds between flushes to the collector. Must be a positive integer. |
Supported Collector Protocols
Section titled “Supported Collector Protocols”You can configure the OTel collector endpoint using one of the following protocols:
http://orhttps://- Send data via HTTP(S)grpc://- Use gRPC for efficient telemetry transmissionfile://- Write telemetry data to a local file (ideal for local dev/debugging)
File Exporter Details
Section titled “File Exporter Details”If using file:// as the endpoint:
- The path must begin with
file://. - If a directory is provided (or no file extension), data is written to
signals.jsonin that directory. - If a filename is included, it will be used as-is.
- The parent directory must already exist.
- Data is appended, not overwritten.
Validation Rules
Section titled “Validation Rules”- Flush interval must be a positive integer.
- Sample percentage must be between 0 and 100.
- File exporter paths must start with
file://and have an existing parent directory. - Invalid configuration will throw an error synchronously when calling initialization.
Security Best Practices
Section titled “Security Best Practices”- Use TLS for collector endpoints — GLIDE supports
https://andgrpc://endpoints. Always use encrypted transport in production to prevent telemetry data from being intercepted in transit. - Protect file exporter output — When using the
file://exporter for local development, telemetry files may contain command-level details. Restrict file permissions and avoid writing to shared or world-readable directories. - Minimize sampling in production — Use a low sample percentage (1–5%) to limit the volume of potentially sensitive operational data collected.
- Review exported data — GLIDE traces include command names, latency measurements, and error status. While GLIDE does not include command arguments or key values in trace spans, always review what your collector pipeline forwards to third-party backends.