Observability in 2025: How to Use OpenTelemetry for Complete Monitoring

Introduction

With the advancement of technologies and the growing complexity of systems, observability has become a critical necessity for development and operations teams. In 2025, the use of tools like OpenTelemetry is essential to ensure complete and effective monitoring. This post explores how to integrate logs, metrics, and tracing using OpenTelemetry, helping you maintain the health and performance of your applications.

What is Observability?

Observability refers to the ability to understand what is happening in a system from the data it generates. This includes:

• Logs: Detailed records of events that occur in the system.
• Metrics: Quantitative data that measure the performance and health of the system.
• Tracing: Tracking requests through services, allowing visualization of data flow.

Why Use OpenTelemetry?

OpenTelemetry is a collection of tools, APIs, and SDKs that allows collecting observability data in a unified way. Among its benefits, the following stand out:

• Simple Integration: Support for multiple languages and frameworks.
• Compatibility: Works well with other monitoring and analysis tools.
• Flexibility: Allows customizing data collection according to your needs.

How to Implement OpenTelemetry

1. Initial Configuration

To start using OpenTelemetry, you will need to configure the SDK corresponding to the programming language you are using. Here are the basic steps:

• Installation: Add the OpenTelemetry library to your project.
• Configuration: Initialize the SDK and configure the endpoint where the data will be sent.

2. Log Collection

Logs are essential for understanding system behavior. With OpenTelemetry, you can:

• Record events: Use the API to record important events.
• Contextualize logs: Associate logs with specific requests to facilitate analysis.

3. Metrics Collection

Metrics help monitor system performance. With OpenTelemetry, you can:

• Define custom metrics: Create metrics that are relevant to your application.
• Send metrics in real time: Use the SDK to send data continuously.

4. Tracing Implementation

Tracing allows visualization of data flow through services. To implement it with OpenTelemetry:

• Code instrumentation: Add tracking points in the code to monitor requests.
• Trace visualization: Use visualization tools to analyze performance.

Use Cases

Case 1: E-commerce

An e-commerce platform used OpenTelemetry to monitor its operations. With the integration of logs, metrics, and tracing, the team was able to identify bottlenecks in the checkout process, resulting in a 20% increase in conversion.

Case 2: Streaming Application

A streaming application implemented OpenTelemetry to improve user experience. By analyzing the collected data, the team was able to reduce buffering time by 30%, increasing customer satisfaction.

Conclusion

Observability is crucial for the success of modern applications. With OpenTelemetry, it is possible to effectively integrate logs, metrics, and tracing, ensuring that you have a complete view of your system's performance. By adopting these practices in 2025, your team will be better prepared to face the challenges of the digital environment.

Call to Action

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