Designing observability for high‑QPS inference
Sampling strategies, index design, and on‑call ergonomics.
Custom AI solutions, AI-based analytics, observability, and automation for modern systems—from development to production. Integrate your stack, track behavior, and resolve incidents faster than ever!.
Works with your stack
Last 60 minutes
Trusted across data, platform, and MLOps teams
End‑to‑end visibility for AI workloads, proactive automation, and resilient infrastructure operations.
Track model performance, data drift, cohort metrics, and experiment results with flexible dashboards and alerts.
Unified telemetry, incident routing, and playbooks. Integrate logs, metrics, traces, and service discovery.
Provisioning, configuration, and rollout strategies that keep ML services reliable and cost‑efficient.
Access controls, audit trails, lineage, and SLO‑driven operations for compliant AI systems.
Connect your logs, metrics, traces, and events. Enrich with model metadata, inputs/outputs (including CV frames and embeddings), and infra signals. Correlate issues across application and platform layers.
Engage our team for deployments, migrations, and advanced automation.
Deploy log/metric/trace pipelines, index strategies, and retention policies tuned to cost and scale.
Noise reduction, correlation, and automated remediation tailored to your SLOs and playbooks.
Design scalable, secure, and compliant infrastructure for AI—automation first.
Guides, architectures, and case studies from production AI teams.
Sampling strategies, index design, and on‑call ergonomics.
Closing the loop from SLOs to infrastructure in real‑time.
Runbooks that codify expertise and reduce MTTR.
Request a guided walkthrough tailored to your architecture and SLOs.
Tell us about your stack and goals. We’ll follow up within one business day.