Industry Solutions

Observability for
Every Stack

From AI pipelines to government compliance — Omlet adapts to your industry's observability needs

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01 / AI Companies

Monitor Your GPU Fleet

AI teams need visibility into GPU clusters, training pipelines, and inference endpoints. Traditional APM tools weren't built for this.

Real-time GPU utilization and memory dashboards across multi-cloud fleets
Training pipeline observability with job-level tracing and failure detection
Inference latency tracking with p50/p95/p99 breakdowns per model
Cost-per-inference metrics and optimization recommendations
omlet-agent — gpu-cluster
$ omlet investigate gpu-utilization-spike
 
Scanning 48 GPU nodes across us-east-1, us-west-2...
Node gpu-37: OOM during training job llm-finetune-v3
Batch size 64 exceeds A100 80GB VRAM at layer 47
Recommending: reduce batch to 32 or enable gradient checkpointing
 
Dashboard created: GPU Fleet Health
Alert configured: VRAM > 90% → Slack #ml-ops
Cost report: $2.47/hr avg per training job
Live Traffic
Requests/sec
24.7k
▲ 12% from yesterday
P95 Latency
142ms
▼ 8ms improvement
Error Rate
0.02%
Within SLO
Throughput by Service (1h)
Active Users
02 / Web Native & Consumer

Scale Without Surprises

Consumer apps face unpredictable traffic, microservice sprawl, and vendor lock-in. Omlet gives you full visibility without the constraints.

End-to-end request tracing across 100+ microservices
Real-time traffic dashboards with per-endpoint latency breakdowns
Open standards (OTLP) for zero vendor lock-in and full data portability
Auto-scaling observability that grows with your traffic
03 / Insurance & Finance

Compliance Built In

Financial services demand strict data governance, audit trails, and zero tolerance for downtime. Omlet deploys in your infrastructure so data never leaves your boundary.

Self-hosted deployment keeps data within your compliance perimeter
Full audit logging with configurable retention policies
Granular RBAC for compliance, engineering, and operations teams
70-90% cost reduction vs SaaS observability vendors
Compliance Dashboard
On-Prem
Data Residency
365d
Audit Log Retention
12
Active RBAC Policies
99.99%
Uptime SLA
SOC2 & PCI-DSS ready — All telemetry data encrypted at rest and in transit. No data egress to third-party services.
omlet-agent — sensor-analysis
$ omlet analyze sensor-anomaly --equipment engine-04
 
Ingesting 47,000 events/sec from IoT gateway...
Vibration sensor: 2.3x baseline on bearing-assembly-L
Temperature: +14°C above normal operating range
Correlating with maintenance logs...
Pattern matches bearing wear signature (R²=0.94)
 
Alert triggered: CRITICAL → Maintenance Team
Predicted failure: 72-96 hours
Work order created: WO-2024-1847
04 / Aviation & Manufacturing

Predict Before Failure

Industrial environments generate massive sensor telemetry. Omlet ingests at scale and helps detect anomalies before they become safety incidents.

100k+ events/sec ingestion for IoT and sensor telemetry
Anomaly detection correlating vibration, temperature, and pressure metrics
Multi-severity alert chains from warning to critical with escalation
Air-gapped and hybrid deployment support for restricted environments
05 / Government

Sovereignty First

Government agencies require data sovereignty, strict access controls, and compatibility with legacy systems. Omlet was built for these constraints.

Deploy in your own VPC or on-premise — no data ever leaves your boundary
OTLP-native ingest compatible with legacy exporters and custom collectors
Granular RBAC with role-based access for classified and unclassified environments
Full audit trail with immutable logging for compliance reporting
https://ois.internal.gov/admin
CONUS-Only Deployment
AES-256 Encrypted
FISMA Compliant
RBAC Role: Infrastructure Admin Full Access
RBAC Role: Security Auditor Read-Only + Logs
RBAC Role: Application Team Scoped to Namespace
RBAC Role: External Contractor Metrics Only
Data Boundary No egress configured
Encryption at Rest AES-256-GCM

Ready to
Get Started?

See how Omlet fits your industry's observability needs