WHAT IS OPENTELEMETRY?
OpenTelemetry (OTel) is an open-source observability framework that helps you collect, process, and export telemetry data from your applications and infrastructure. It is a project of the Cloud Native Computing Foundation.
SIGNAL OF OPENTELEMETRY
1.Traces
Show the path of a request through multiple services.
Help you identify where latency or failures occur.
Example:
User Request
│
▼
API Gateway
│
▼
Auth Service
│
▼
Payment Service
│
▼
Database
Each step is a span, and together they form a trace.
2.Metrics
Numeric measurements over time.
Examples:
CPU usage
Memory usage
Request rate
Error count
Response time
3.Logs
Timestamped records of events.
Example:
2026-07-25 10:15:23 ERROR Payment failed: Timeout
KEY PRPPERITIES OF OPENTELEMETRY:
1.Vendor-Neutral
Works with many observability platforms (such as Prometheus, Grafana, Jaeger, Datadog, and Splunk).
Avoids vendor lock-in.
2.Open Source
Developed under the Cloud Native Computing Foundation.
Free to use and supported by a large community.
3.Unified Observability
Collects all three types of telemetry:
.Traces
.Metrics
.Logs
4.Automatic and Manual Instrumentation
Supports automatic instrumentation with little or no code changes.
Allows manual instrumentation for custom business logic.
5.Multi-Language Support
Supports many programming languages, including:
Java
Python
Go
.NET
Node.js
C++
PHP
Ruby
Rust
6.Context Propagation
Preserves request context across multiple services.
Makes it possible to trace a request end-to-end in distributed systems.
7.Extensible and Modular
Components can be customized or extended.
Supports custom exporters, processors, and receivers.
8.OpenTelemetry Collector
A standalone service that:
Receives telemetry
Processes and filters data
Batches data
Exports it to one or more monitoring backends
9.Standardized APIs and SDKs
Provides consistent APIs and SDKs across supported languages.
Simplifies instrumentation and improves portability.
10.High Scalability
Suitable for cloud-native applications, microservices, containers, and large distributed systems.
Handles telemetry from many services efficiently
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