In our recent webinar, Applying a Data Engineering Approach to Telemetry Data, Amanda Scheldt spoke to Lauren Nagel, VP of Product, Mezmo, and Paul Nashawaty, Practice Lead and Lead Principal Analyst at the Future Group. The focus of the discussion was on how telemetry pipelines can address the challenges of the exponential growth of telemetry data, transforming it into a strategic asset.

Paul highlighted how 57% of respondents from a recent global study were looking for a new observability tool. With 94% of apps running across multiple clouds and 88% trying to move from legacy environments, there's a need for improved harmonization and democratization of telemetry data. This is why it’s important to apply data engineering principles to telemetry data. 

Key Takeaways:

1. A data engineering approach to telemetry can harmonize telemetry pipelines across different data sources and destinations, user personas, and use cases.
2. Data engineering can be simplified and democratized by enabling users, regardless of their technical expertise, to create and manage data pipelines.
3. Most organizations are at the early stage of telemetry maturity, using tools for monitoring, alerting, and tracing.
4. Telemetry pipelines can help organizations mature from monitoring to innovation by reducing toil.  
5. Built-in compliance processes for telemetry pipelines automate checking data at rest and in motion for detecting issues early. 

Don’t forget the impacts of AI to telemetry data

The discussion also turned towards AI and its role in telemetry data and compliance. The current and future state of AI adds a new layer of complexity to compliance. If data is used to train the AI models, compliance must be airtight. Telemetry pipelines can come into play to ensure data is high quality and compliant.

At the same time, AI can reduce data redundancies, automate data profiling and quality checks, enhance anomaly detection, and customize alerts. It can improve early issue detection to deliver better quality and compliance. Increased AI adoption in telemetry pipelines can help reduce tedious maintenance tasks and accelerate innovation.

To fully understand how applying a data engineering approach can transform your telemetry data strategy and prepare you for the AI-driven innovation, we invite you to watch the webinar recording. 

If you have any questions, please get in touch with us.