Data Tiering for AI Teammates
Route high-value data to premium platforms, archive everything else, and give AI Teammates the clean, curated signal they need to work effectively.
Vast quantities of low-value data are draining budgets
Companies are overflowing with telemetry data and struggling to limit ingress. As a result, teams have cobbled together imperfect, homegrown solutions to filter out large swaths of logs, metrics, and APM data, with the goal of extracting valuable insights from more manageable portions of the remaining data. This approach is fundamentally flawed, and creates a number of problems:
Critical Data Loss
It’s difficult to manually filter without risking loss of essential data.
Blurred Context
Filtering telemetry data reduces the quality of data insights and analytics.
Alignment Difficulties
Stakeholders don’t always agree on which methodology to use for filtering.
Clean Data In, Better AI Decisions Out
AI Teammates are only as good as the data they receive. Edge Delta’s Telemetry Pipelines pre-process your log data at the source, routing the right data to the right destination so every Teammate, from the SRE to the Security Engineer to the Software Engineer, has a clean, high-quality signal to act on.
Source-Level Pre-Processing
Pre-process logs at the source to adhere to platform-specific requirements and extract high-level patterns for analysis of the bigger picture.
Cost-Optimized Routing
Reduce costs by sending only high-value data to premium platforms, and ship a full copy of all raw data into S3 to support audit, compliance, and investigation use cases.
Clean Signal Delivery
Limit noisy data by sending only the data you need to any given platform to enhance the insight and analysis processes.
Ready to take the next step?
Learn more about our use cases and how we fit into your observability stack.
“This is not just about doing what you used to do in the past, and doing it a little bit better. This is a new way to see this world of how we collect and manage our observability pipelines.”
Ben Kus, CTO, Box
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