Observability with OpenTelemetry
Gain a deeper insight into your environment with OpenTelemetry
Observability has become a key concept in computer science, particularly
in the fields of systems and network management, and more recently, in cloud-native
applications. It provides a large number of advantages to developers and system
administrators, such as:
- Improved System Understanding
- Observability helps developers and system administrators gain a deep understanding of their environment. By observing the environment state and its changes over time, they can understand tits behavior, identify patterns, and make informed decisions.
- Enhanced Debugging
- Debugging becomes more efficient with observability. It allows for the identification of anomalies or bugs in the environment. By observing the full environment over time, system administrators can pinpoint where the issue originated, what caused it, and how it affected the system.
- Proactive Problem Solving
- Observability supports proactive problem solving. Instead of waiting for a component to fail, observability allows issues to be detected and addressed before they cause a failure. This leads to increased reliability and availability.
- Informed Decision Making
- Observability provides the data necessary for informed decision-making. It provides insights into how changes in the environment affect its performance and behavior. This information is crucial when making decisions about upgrading, scaling, and allocating resources.
- Efficient Resource Utilization
- Observability can lead to more efficient resource utilization. By understanding the behavior of the environment, administrators can optimize resource allocation, reducing costs and improving system performance at the same time.
You can now use observability to gain insights on the performance and behavior of your IBM® Workload Scheduler environment for monitoring and analysis, and improve overall system reliability and user experience. For example, you can use metrics to analyze traces, metrics, and logs and filter the information you are capturing, thus reducing unnecessary noise and excess costs. Additionally, filtering makes it easier to also add custom tags to metrics for streamlined organization and searching.
For more information, see Enabling observability with OpenTelemetry.