Run Agent Ops on Memory Telemetry That Matches Your Compute Stack
Ops teams have rich telemetry for compute, networking, and storage. Memory has lagged. MemoryLake emits production-grade memory telemetry — utilization, hit rates, growth, eviction, latency distributions — so memory becomes a first-class operational concern, not a mystery.
Run Agent Ops on Memory Telemetry That Matches Your Compute Stack
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The problem: agent ops without memory telemetry is blind
The compute graph shows healthy GPU usage. The network graph shows normal traffic. Agent quality is degrading and nobody knows why. Memory has been operating without telemetry — the layer that drives most user-facing behavior is the most invisible.
How MemoryLake delivers memory telemetry
Standard metrics out of the box
Hit rate, miss rate, p50/p95/p99 latency.
Growth and eviction telemetry
Memory volume per workspace, archive rate, eviction rate.
Per-retrieval cost metrics
Token cost, network cost, storage cost.
Alert integration
PagerDuty, Opsgenie, custom webhooks.
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How it works for agent ops telemetry
- Connect — Configure metric exporter.
- Structure — Metrics emit automatically per memory operation.
- Reuse — Standard alerting and dashboards.
Before vs. after: agent memory ops telemetry
| DIY memory | MemoryLake | |
|---|---|---|
| Memory metrics | None | Comprehensive |
| Alerting on memory anomalies | DIY | Built in |
| Memory cost visibility | Hard | Per-tenant |
| SRE-grade memory dashboards | Custom | Out of the box |
Who this is for
SRE and platform engineering teams responsible for production agent reliability — who need memory metrics to match what they have for compute and network.
Related use cases
Frequently asked questions
Prometheus support?
Prometheus support?
Yes — Prometheus exporter built in.
Custom metrics?
Custom metrics?
Yes — define custom labels and aggregations.
Self-host?
Self-host?
Yes — enterprise tier deploys in your VPC.