Stop Babysitting Your Telemetry Pipelines
Inside Apica Ascent 3.0
Ascent 3.0's AI assistant, Venn, turns plain-language requests into pipeline rules, dashboards, and agent management. No tickets. No queue. Bring your own AI, with human approval on every change. See it live from CPTO Andi Mann.
About This Session
Ascent 3.0 puts AI-assisted control into the daily mechanics of telemetry management: pipeline rules, fleet agents, alerts, and dashboards, built through natural language instead of manual scripting. In this live interview, CPTO Andi Mann unpacks what changed and how Apica built human approval into every AI-initiated change.
- Up to 9.5x more telemetry volume as AI agents scale
- Up to 10x faster pipeline processing in flow-only mode
- Up to 40% lower total cost of ownership than legacy platforms
Telemetry growth figure: Omdia/Informa TechTarget research. Performance and cost figures: Apica engineering benchmarks.
Can't make the live session? Register anyway. Everyone who signs up receives a recording after the event, whether or not you can join us on October 20.
Why your engineers can stop babysitting pipelines
CPTO Andi Mann breaks down each of these in a live interview, with real examples instead of slides.
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Natural-language pipeline control
Venn, Apica's assistant built into Flow, Observe, and Fleet, turns plain-language requests into pipeline rules, dashboards, and agent management. No tickets. No queue. No hand-written YAML at 2am.
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Bring your own AI
A built-in MCP server lets you connect your own model, whether that's Claude, OpenAI, or whichever your compliance team has cleared, for direct operational control. Your prompts never route through Apica's infrastructure.
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Human approval on every change
Every AI-initiated action that could delete or materially alter a configuration stays off until an administrator turns it on. More automation, without handing over the keys.
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Flow-only mode: up to 10x faster
A new processing mode skips Lake storage overhead entirely, moving telemetry up to 10x faster in Apica's own engineering benchmarks. That gives you headroom for the AI-driven volume surge ahead.
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Synthetic monitoring: proof, not promise
Connecting front-end digital experience to back-end tracing catches AI-specific failure modes, including step-skipping, hallucination, and quiet drift in a multi-agent workflow, before your customers do.
Who You'll Hear From
“You always have control of your data, and we don't own your AI either.”
20+ years building enterprise infrastructure at BMC Software, Splunk, and CA Technologies. Sits down for a live interview to unpack how Venn takes the babysitting out of pipeline management, from plain-language requests to human-approved changes.
