Observability and OpenTelemetry: Seeing the Whole System

Modern applications don’t exist in isolation. A front-end app might connect to cloud services, which in turn interact with databases, APIs, and even mainframes. These connections make things work, but they also make them fragile. When something breaks, finding the issue can feel like hunting for a needle in a haystack.

This is where observability comes in. Observability isn’t just about monitoring. It’s about understanding how systems behave by collecting signals — data that tells you what’s happening inside the machine.

For hybrid systems, this is critical. If you have a mobile app that triggers a series of backend processes, you need to know not just whether the app is working but whether the entire chain is working. That requires visibility from end to end.

The Problem with Tools

Most organizations already use tools for this. The problem is they don’t use just one tool — they use several. Four to seven tools, on average. These tools aren’t always designed to work together, which means teams spend more time stitching together data than solving problems. Every gap between tools is a place where things can get lost or misunderstood.

The result? Slow resolutions and frustrated teams.

Enter OpenTelemetry

OpenTelemetry is one solution to this problem. It’s an open framework for generating, collecting, and processing telemetry data. Think of it as a universal language for observability. It works with metrics, traces, and logs — the three main types of telemetry data.

What makes OpenTelemetry special is that it’s vendor-agnostic. Unlike tools tied to specific products, OpenTelemetry is open and managed by the Cloud Native Computing Foundation. That means it works with a wide range of systems, from cloud-native apps to mainframes.

How It Works

For OpenTelemetry to work, you start by instrumenting your application. Instrumentation is how your app generates signals. Some programming languages can do this automatically. For others, you use OpenTelemetry SDKs to add the functionality yourself.

The signals are then converted into a standard format: the OpenTelemetry Protocol (OTLP). This standard makes it possible to combine data from different systems. A single transaction might include spans from a mobile app, cloud services, and a mainframe. OTLP ties them together so you can see the whole picture.

Next, the data flows to an OpenTelemetry collector. The collector processes the data — filtering, enriching, and correlating it. From there, it’s sent to an observability backend where teams can visualize and analyze what’s happening.

Not a Product, But a Standard

It’s important to note that OpenTelemetry isn’t a product. It’s a framework. The data it collects is fed into other tools — some open-source, some commercial. These tools turn the raw telemetry into something actionable, like a trace of a customer journey or a heatmap of performance issues.

What makes this powerful is that it works across platforms. You might be monitoring a cloud-native app one minute and a decades-old mainframe the next. OpenTelemetry doesn’t care. It gives you one system for collecting and correlating data everywhere.

Why It Matters

A complete view of your systems changes everything. Instead of spending hours guessing where a problem might be, you can pinpoint the exact part of the system that’s failing. It could be the mobile app. It could be a cloud API. It could be the mainframe. With OpenTelemetry, you don’t have to guess.

This doesn’t just save time. It saves resources. When teams spend less time firefighting, they have more time to improve the system itself. It also means fewer outages, which translates to happier users and customers.

The Bigger Picture

Observability isn’t new, but OpenTelemetry makes it better. It gives organizations a way to standardize telemetry across every platform they use, old and new. This isn’t just about keeping things running. It’s about building systems that can evolve without becoming harder to manage.

If you’re building or maintaining hybrid systems, you’ll need something like OpenTelemetry. It’s not optional. It’s the difference between flying blind and having a map.

Further Reading

Cloud Native Computing Foundation’s OpenTelemetry Project

Introduction to Observability by CNCF

Best Practices for Instrumentation

FAQs About OpenTelemetry

1. What is the difference between OpenTelemetry and other monitoring tools?

OpenTelemetry is not a monitoring tool in itself but an open-source observability framework for generating, collecting, and transmitting telemetry data such as metrics, traces, and logs. Unlike proprietary monitoring tools that lock you into specific ecosystems, OpenTelemetry is vendor-agnostic. It works as a standardized framework, allowing you to integrate with multiple backends and observability platforms. This flexibility enables organizations to use the best tools for their needs without being constrained by compatibility issues.

2. Can OpenTelemetry be used with legacy systems?

Yes, OpenTelemetry is designed to work with both modern and legacy systems. While it shines in cloud-native and distributed applications, it can also be integrated into older, monolithic systems through manual instrumentation or by using OpenTelemetry SDKs. This allows IT teams to gain observability across their entire technology stack, ensuring visibility from newer microservices to decades-old mainframes.

3. What programming languages are supported?

OpenTelemetry supports a wide range of programming languages, including but not limited to:

• Java
• Python
• JavaScript (Node.js)
• C#
• Go
• Ruby
• PHP
• C++
• Swift This extensive language support ensures developers can instrument applications regardless of the technology stack.

4. Is OpenTelemetry free to use?

Yes, OpenTelemetry is completely free to use. It is an open-source project managed by the Cloud Native Computing Foundation (CNCF). There are no licensing costs, and the framework is continually developed and supported by a global community of contributors, including major IT vendors. Organizations can adopt OpenTelemetry without incurring additional software expenses.

5. What’s the future of OpenTelemetry in observability?

OpenTelemetry is poised to become the standard for observability across hybrid and cloud-native systems. Its open, vendor-neutral approach aligns with industry trends toward interoperability and flexibility. As more organizations adopt it, we can expect:

• Broader integration with monitoring and analytics platforms.
• Enhanced tools and SDKs to simplify implementation.
• Growing support for emerging technologies and frameworks. OpenTelemetry’s ongoing development ensures it remains a cornerstone of modern observability, enabling organizations to keep pace with evolving IT environments.