NEXUSOPS
Engineered for SREs & DevOps

Real-time observability with zero-latency telemetry.

Track cluster health, trace distributed system latency, and deploy pipelines with sub-second feedback. NexusOps visualizes your infrastructure in native engineering blueprints.

nexusops-installer.sh
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< 12ms
Ingress Latency
99.999%
Platform SLA
1M+
Metrics/sec
cluster-us-east-1.nexusops.internal
LIVE STREAMING
Cluster CPU
42.8%
Latency
11.4ms
Active Pods
142/150
Topology Map (Canary Route)
INGSVC-ASVC-BPOD-v2
Canary weight: 15%Ready
Live Terminal Output
14:32:01.092 [INF] Ingress controller routing updated to canary
14:32:02.115 [WRN] Pod k8s-node-3b memory allocation reached 84.1%
14:32:03.489 [INF] Database connection pool scaling optimized (+12 nodes)
14:32:05.121 [INF] Deployment sync complete: 140/140 active pods operational
14:32:08.771 [ERR] Rate limiting threshold triggered on /api/v1/telemetry
SRE Cluster Health Nominal.0rc1
Deep Diagnostic Capabilities

An engineering-first monitoring engine.

Our telemetry pipeline is built directly into runtime execution layers, bypassing standard sidecar overhead to deliver sub-millisecond traces without sacrificing safety.

Global Cluster Mesh
Consolidate logs, metrics, and application traces from AWS, GCP, and bare-metal environments into a single blueprint view.
ACTIVE REGIONS3 / 3 OPERATIONAL
US-E
9ms
EU-W
14ms
AP-S
28ms
Zero-Overhead Tracing
Observe full application call stacks in production. Our lightweight eBPF kernel probes capture trace data without injecting latency.
CALL TRACE PATTERN112 hops/ms
gateway
auth-svc
db-query
Safe Release Autopilot
Automate deployment rollouts. If error rate triggers exceed custom thresholds, NexusOps instantly safely triggers an automatic canary rollback.
CANARY PIPELINESTABLE
Rollout Progress80%
System Blueprint

Telemetry Flow Engine

SCHEMA
1. eBPF Sensor Kernel Probes0% CPU OVERHEAD

Ingests trace vectors directly at the kernel tier before scheduling loops.

2. Streaming Data Ring Buffer9.2 GB/S CAP

Aggregates unstructured log lines and handles bursts without drop errors.

3. Real-Time Analytics RenderREFRESH: 100MS

Pre-calculates service dependencies and charts anomalies instantly.

Under the Hood

Designed for speed. Engineered for absolute correctness.

When outages happen, observability tools shouldn't contribute to the chaos. Our distributed data plane is isolated from client runtime garbage collection, meaning you get true performance readouts even when clusters are failing under extreme load.

Low Footprint Agent

The static-binary agent runs with less than 20MB of memory overhead.

Cryptographic Isolation

All metrics and logs are cryptographically signed and encrypted in transit.

PromQL & OpenTelemetry Native

No vendor lock-in. Query with your existing PromQL scripts, Grafana dashboards, and OTEL specs.

OPERATIONAL AT SCALE
50M+
Pods Monitored Daily
< 1.5s
Average MTTR Recovery
99.999%
Uptime Guarantee
< 0.1%
Resource Overhead Limit
PRECISE PLANS FOR TEAMS OF ALL SIZES

Simple, transparent pricing.

No hidden host-license taxes. Pay strictly for the volume of telemetry data you actually ingest.

Developer Tier
Sandbox
$0 / forever
Perfect for local dev, staging exploration, and hobby pipelines.
Up to 3 active cluster nodes
3-day trace data retention
Community Slack support
SRE Recommended
Production Tier
Operator Pro
$99 / month
Complete cluster visibility for scaling production apps.
Unlimited nodes & clusters
30-day trace data retention
Automated Canary engine
99.9% uptime SLA target
Enterprise Tier
Enterprise Mesh
Custom / contact sales
Custom deployment models, dedicated tenancy, and tight SLAs.
On-Premises / VPC deployment
Custom trace data retention (90d+)
24/7/365 Dedicated SRE Hotline
SSO/SAML & advanced IAM limits

Reclaim control of your telemetry stack.

Join thousands of DevOps and Site Reliability Engineers who diagnose, protect, and trace their live containers in real-time.

SOC2 Type II Certified OpenTelemetry Compliant