On‑Premise Observability. Predictable Costs.
Metrics, logs, and traces inside your perimeter. No per-volume charges. Deployed as a dedicated appliance in your datacenter.
Built for Operations,
Crafted by Engineers
Unified Platform
Metrics, logs, and traces in a single appliance. No need for disparate tools.
Flexible Deployment
On-Premise, Cloud, GPU NVIDIA, or Hybrid. You decide where and how.
ClickHouse Engine
Columnar database (ClickHouse) — used by Uber & Cloudflare — optimized for sub-second queries on telemetry data.
Flexible Queries
DIY Query builder, PromQL, and ClickHouse queries to cover all your use cases.
Correlated Signals
From metric to trace, from trace to logs. Full context for rapid diagnosis.
OpenTelemetry Native
Compatible from day one with OpenTelemetry, Syslog, SNMP, and REST APIs. No proprietary agents.
More Visibility Shouldn't Mean
More Cost
SaaS platforms charge per GB ingested. When you need more data, the bill explodes. When you control it, you lose evidence.
Observability Without Borders.
Deployed Your Way.
Four deployment models to match your infrastructure, regulatory compliance, and performance goals.
On-Premise
Dedicated appliance in your datacenter. Ingestion, processing, storage, and AI — all local. Air-gapped compatible. Your data never leaves your perimeter.
Cloud
ByLoniS managed in your preferred cloud provider. Same platform, same capabilities — hosted and maintained by our team. Rapid deployment.
GPU NVIDIA
10x faster processing with NVIDIA GPU acceleration. Ideal for large-scale AI workloads, real-time anomaly detection, and high-throughput telemetry environments.
Hybrid
Combine on-premise and cloud nodes. Central visibility across distributed environments. Critical data stays local, extended analytics in the cloud.
ByLoniS is OpenTelemetry‑Native
OpenTelemetry is the 2nd most active CNCF project. ByLoniS is built from the ground up to leverage it fully.
No Vendor Lock-in
Free yourself from vendor-specific agents in your codebase. Standard instrumentation that works everywhere.
Futureproof
OpenTelemetry's extensibility ensures support for any evolving technologies and protocols.
All Use Cases Covered
One SDK for logs, metrics, and traces. No more juggling multiple instrumentation libraries.
Standardize Observability
A single standard for all telemetry signals means increased developer productivity across teams.
Your Data Never Leaves.
Your AI Never Depends.
Every component — from ingestion to the LLM — runs inside your datacenter. Zero trust by design.
From Monitoring Infrastructure
to Understanding Business
Traditional tools tell you what broke. ByLoniS tells you what it cost and how to prevent it.
Legacy Observability
- Logs & Metrics Collection
- Static Alerting Rules
- Manual Root Cause Analysis
- Infrastructure-Focused Only
- Reactive Response
- Cloud-Dependent / SaaS Lock-in
- Per-GB Billing
AI-Powered On-Premise
- Unified Metrics, Logs & Traces
- AI-Powered Anomaly Detection AI
- Automated Root Cause Correlation AI
- Business Impact Analysis AI
- Proactive Prevention
- Sovereign On-Premise Deployment
- Unit-Based Predictable Licensing
From Reactive Alerts
to Operational Intelligence
Unified Observability
Metrics, logs, and distributed traces in one platform. Infrastructure and services — correlated, not siloed.
Root Cause in Minutes
Cross-navigate from indicator to trace, from trace to logs. Reduce MTTR, not just detect incidents.
Actionable Alerts
Thresholds, maintenance windows, silence rules. NOC/SRE dashboards. No alert fatigue — only what matters.
Enterprise Access Control
Role separation: admin, ops, read-only. SSO/MFA built-in. Your security policy — not a vendor's.
From Usage-Based Billing
to Unit-Based Licensing
You define how many sites, hosts, and applications to observe. The bill is a consequence of your operational decisions — not your telemetry volume.
No user-based pricing
Add as many team members as you want.
No host-based pricing
No worrying about auto-scaling during peak hours.
Unit-based licensing
Site + Host + App. You control the cost.
All metrics included
No special pricing for custom metrics.
| Unit | What it covers | Why it's predictable |
|---|---|---|
Site |
Base platform per location. Appliance deployed in that environment. | You define how many sites to operate. |
Host |
Infrastructure observability — servers, VMs, K8s nodes. | Scales with your actual host inventory. |
App / Service |
Deep observability per critical application or service. | Grows with the apps you decide to instrument. |
Built for Industries
Where Downtime Isn't an Option
Data sovereignty, regulatory compliance, and operational continuity. Not features — requirements.
Telecom
Distributed service correlation across platforms. 24/7 operations with zero tolerance for blind spots.
Banking & Insurance
Regulated environments demanding audit trails, data sovereignty, and operational continuity.
Government
Public cloud restrictions, data sovereignty mandates, and mission-critical operational processes.
Healthcare
Strict data privacy requirements and zero tolerance for critical system interruptions.
Enterprise‑Grade
Observability
Advanced security and regulatory compliance at any scale.
SSO & SAML Support
Integrate with your identity provider. Single sign-on for your entire team.
Query API Keys
Programmatic access to your observability data with scoped API keys.
Advanced Security
Role-based access, audit logs, and encryption at rest and in transit.
What Our Clients
Always Ask
What does "unlimited ingestion" mean exactly?
With ByLoniS, you are licensed by operational units (Sites, Hosts, Apps) — not by data volume. You can ingest as many metrics, logs, and traces as your infrastructure generates without any per-GB penalty. The bill stays the same whether you ingest 100GB or 10TB per day.
Can ByLoniS operate in air-gapped environments?
Yes. The on-premise appliance is designed for fully air-gapped deployments. All processing, storage, and AI inference (Mistral LLM) run locally. No external network access required for core functionality.
How does GPU NVIDIA acceleration work?
ByLoniS leverages NVIDIA GPUs for AI inference, anomaly detection, and high-throughput data processing. This delivers up to 10x faster processing compared to CPU-only deployments, making it ideal for large-scale environments with millions of events per second.
What is the typical deployment timeline?
From initial scoping to production deployment typically takes 60-90 days. This includes infrastructure provisioning, agent deployment, dashboard configuration, alert tuning, and team training. A pilot environment can be operational within 2-3 weeks.
Learn About Observability
The Hidden Cost of SaaS Observability
Why per-GB pricing is bankrupting your observability budget and how unit-based licensing changes the equation.
Download PDFOn-Premise vs Cloud Observability: A Decision Framework
Data sovereignty, latency, TCO — the factors that matter when choosing your observability deployment model.
Read GuideGPU-Accelerated Anomaly Detection with ByLoniS AI
How NVIDIA GPU acceleration enables real-time pattern recognition across millions of telemetry data points.
Read Article
Numbers That
Speak for Themselves
From Evaluation to Production
in 90 Days
Phased deployment with defined timeline, measurable success criteria, and dedicated support model.