Looking ahead, the author predicts that telemetry pipelines will evolve into a broader field of telemetry data management, shifting from mere pipeline management to more comprehensive information management. This evolution is essential as telemetry data is just one aspect of the larger data landscape. The author also suggests that businesses should evaluate their existing telemetry analysis tools and consider telemetry pipelines to start reducing costs and making better use of their telemetry data.
Key takeaways:
- Telemetry pipelines play a crucial role in handling large amounts of data generated by various sources, with the goal of capturing, making sense of, and routing it to data lakes or other destinations.
- The primary objectives of telemetry pipelines are to reduce data clutter, add context, and save resources. They do this by organizing and labeling data, making it easier to extract valuable information.
- Telemetry pipelines address the growing complexity of data management and the challenges posed by tool sprawl. They optimize data streams, reduce redundancy, and create a unified and organized data structure.
- The future of telemetry pipelines is likely to evolve into a broader field of telemetry data management, shifting from mere pipeline management to more comprehensive information management. This evolution is essential as telemetry data is just one aspect of the larger data landscape.