Agentic-Ready Telemetry Pipeline — Cut Observability Costs up to 40%
Автор: Apica
Загружено: 2026-04-07
Просмотров: 1336
Описание:
https://apica.io
AI agents are flooding enterprise pipelines with telemetry data — and legacy platforms can't keep up. Apica Ascent 2.16 processes, enriches, and governs your telemetry before it hits expensive observability platforms, delivering cleaner data and up to 40% lower TCO.
0:00 – Introduction: The AI Agent Telemetry Challenge
0:16 – Why Legacy Observability Platforms Fall Short
0:22 – Introducing Apica Ascent 2.16
0:42 – What's New: Synthetic Data, ROI Visibility, ROM Dashboard & SLOs
0:58 – Next Steps: See Ascent in Action
Apica Ascent 2.16 is a foundational release built for the agentic AI era. A single AI agent in production can generate more telemetry in an hour than an entire application stack does in a day. This release gives platform engineering and SRE teams the infrastructure to handle that scale — without blowing through budgets or losing visibility.
✔️ Process and govern telemetry data before it reaches expensive downstream platforms
✔️ Reduce total cost of ownership by up to 40%
✔️ Generate synthetic data as a native pipeline stream for testing and validation
✔️ Track real-time ROI on every pipeline rule you create
✔️ Monitor system health with a new ROM dashboard powered by AI-driven analysis
✔️ Set and track SLOs directly within the platform
✔️ Handle the massive telemetry volume that agentic AI workloads produce
✔️ Get cleaner, enriched data that improves AI model performance
Enterprises scaling AI agents need telemetry infrastructure that won't buckle under the load. Ascent 2.16 sits between your data sources and your observability stack — filtering, enriching, and routing data intelligently so you only pay for what matters. Every feature in this release is available today.
📊 See it in action, Request a demo: https://apica.io/request-demo
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⚖️ Disclaimer: This video is for educational and informational purposes. All trademarks and third-party content are the property of their respective owners and are used under fair use for commentary. For copyright inquiries, contact [email protected].
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