OrionIQ Agentic Observability
OpenTelemetry, often abbreviated as OTel, is an open source observability framework designed to simplify the collection of telemetry data from applications and infrastructure.
Before OpenTelemetry, engineering teams often relied on vendor-specific instrumentation libraries, making it difficult to switch observability platforms or maintain consistent monitoring across services. OpenTelemetry addresses this challenge by providing a standardized way to generate and export telemetry, regardless of where the data is ultimately stored or analyzed.
Today, OpenTelemetry is supported by most major observability vendors and is widely used by DevOps, SRE, and platform engineering teams building cloud-native applications.
OpenTelemetry separates instrumentation from analysis.
Applications are instrumented using OpenTelemetry APIs and SDKs, which collect telemetry as the application runs. That telemetry is then sent to an OpenTelemetry Collector or directly to an observability backend.
A typical workflow looks like this:
Because OpenTelemetry supports multiple exporters, organizations can send the same telemetry to different backends without changing application code.
OpenTelemetry supports the three pillars of observability.
Distributed tracing follows requests as they move through multiple services, helping engineers understand application behavior and identify bottlenecks.
Each request is represented as a collection of spans, which capture operations performed by different services.
Metrics provide numerical measurements of system health and performance, such as:
These measurements allow teams to monitor trends and trigger alerts when thresholds are exceeded.
OpenTelemetry also supports log collection, enabling engineers to correlate application logs with traces and metrics during incident investigations.
This unified approach reduces context switching and accelerates troubleshooting.
The OpenTelemetry Collector is a vendor-neutral service that receives, processes, and exports telemetry data.
Rather than sending telemetry directly from every application to an observability platform, organizations often deploy Collectors as a central pipeline.
Collectors can:
This architecture improves scalability while simplifying observability pipelines.
Modern applications generate enormous amounts of telemetry across containers, microservices, Kubernetes clusters, and cloud environments.
Without a common standard, managing instrumentation becomes complex and expensive.
OpenTelemetry helps organizations:
Because instrumentation remains consistent even if the backend changes, organizations gain greater flexibility as their observability strategy evolves.
OpenTracing was an earlier CNCF project focused exclusively on distributed tracing.
OpenTelemetry combines and extends the capabilities of OpenTracing and OpenCensus, providing a single framework for collecting traces, metrics, and logs.
Today, OpenTelemetry is the recommended standard, and OpenTracing has been retired in its favor.
OpenTelemetry and Prometheus serve different purposes but are often used together.
| OpenTelemetry | Prometheus |
| Collects logs, metrics, and traces | Collects and stores metrics |
| Standardizes application instrumentation | Focuses on metrics monitoring |
| Supports multiple exporters | Uses Prometheus scraping model |
| Vendor-neutral | Metrics-focused |
Many organizations instrument applications with OpenTelemetry while using Prometheus as one destination for metrics.
Organizations adopt OpenTelemetry because it offers several advantages:
These benefits have made OpenTelemetry the preferred instrumentation framework for modern cloud-native environments.
Although OpenTelemetry simplifies instrumentation, implementation still requires planning.
Common challenges include:
Many organizations pair OpenTelemetry with observability platforms that provide automated telemetry management, AI-powered analysis, and streamlined root cause investigations.
To get the most value from OpenTelemetry:
Following these practices helps organizations build scalable and maintainable observability architectures.
OpenTelemetry is used to collect and export logs, metrics, and traces from applications and infrastructure. It provides standardized instrumentation that works with a wide range of observability platforms.
Yes. OpenTelemetry is a free, open source project maintained by the Cloud Native Computing Foundation (CNCF).
No. OpenTelemetry and Prometheus serve different roles. OpenTelemetry standardizes telemetry collection, while Prometheus is a metrics monitoring and storage system. They are frequently used together.
The OpenTelemetry Collector is a service that receives, processes, transforms, and exports telemetry data to one or more observability backends. It simplifies telemetry pipelines and reduces the need for application-specific exporters.
OpenTelemetry gives organizations a consistent, vendor-neutral way to instrument applications and collect telemetry. This makes it easier to correlate logs, metrics, and traces, improve troubleshooting, and avoid vendor lock-in as observability needs evolve.
