Network observability could potentially improve an enterprise's network operation success by a big margin. To implement network observability,teams can take certain steps and such steps will enable admins to understand the networks better and ensure better service for end-users. Here is a closer look at the topic and three best practices that can make a difference.
What is Network Observability?
Network observability is a robust method of developing network intelligence that isn't utilized by many network teams, offering a thorough evaluation of the network. When network teams observe the network, they try and understand how a problem started, how to rectify it, and how to prevent future errors from occurring and improve the network.
Here are some approaches or best practices that can make their network services observable for enterprises:
1. Give Priority to User Experience
Giving ample priority to end-user experience can solve a lot of network issues. Many times, end users report problems even before NetOps teams detect them. Observing end-user experience could provide vital information about how to improve the network than just regular monitoring. Enterprises that manage end-user experience better have always reported more successful operations.
Network observability allows professionals to gain insight and create data-driven systems which in turn allow making the right decisions.
2. Using Telemetry Methods for NetOps.
Several telemetry modes exist, but the most relevant ones for network monitoring are data configuration, synthetic data, and device telemetry. While these approaches are helpful in data collection, they primarily assist with monitoring a network. To manage the kind of data to use for network observability, teams should ensure the data they have is high-quality. With such data, they can recognize what functions properly, figure out improvements and modifications as necessary.
3. Providing Service Assurance
Network observability is an important part of service assurance. Once the observability platform is built teams should have a data preprocessing layer prepared to clean the collected data. This step ensures that the information is high-quality so it can be helpful in the observability platform. Keeping service assurance a part of the overall service lifecycle will remove the risk of manual errors, improve the speed of delivery, and reduce labor costs.
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