Terms of Service

Last updated: 10/08/2026

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1. Agreement

These Terms of Service ("Terms") are an agreement between you and Aranya Inc., a Delaware corporation ("Aranya," "we," "us"). They govern your use of aranya.tech and the products and services we provide, including Aranya Fully Managed Clusters and Aranya OS (together, the "Services").

By using the Services, you agree to these Terms. If you use the Services on behalf of an organization, you agree on its behalf and confirm you have authority to do so.

If you have a signed agreement with us (such as a Managed Services Agreement or order form), that agreement controls where it conflicts with these Terms.

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2. Eligibility and accounts

The Services are for business use. You must be at least 18 and able to form a binding contract to use them.

You are responsible for:

  • Keeping your account information accurate and current
  • Keeping your credentials secure and limiting access to authorized users
  • All activity that occurs under your account

Tell us promptly at legal@aranya.tech if you suspect unauthorized access to your account.

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3. Acceptable use

You agree not to:

  • Use the Services in violation of any law or third-party rights
  • Attempt to gain unauthorized access to the Services, other accounts, or our systems
  • Interfere with, overload, or disrupt the Services or the infrastructure they run on
  • Upload or run malware or other harmful code
  • Bypass security, usage limits, or access controls
  • Resell or provide the Services to third parties except as permitted in a signed agreement with us
  • Copy, reverse engineer, or create derivative works of our proprietary software, except as allowed by law or an open-source license (see Section 5)

We may suspend access if your use violates these Terms or puts the Services, our partners, or other customers at risk.

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4. Your data

You own the data and workloads you run on the Services ("Customer Data"). We use Customer Data only to provide and support the Services. Our handling of personal information is described in our Privacy Policy.

You are responsible for having the rights and consents needed for Customer Data, and for backing up data you can't afford to lose.

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5. Intellectual property

We own the Services, our website, and our trademarks, including all related software and content. Subject to these Terms, we grant you a limited, non-exclusive, non-transferable right to use the Services for your internal business purposes. We reserve all rights not expressly granted.

Open source. clusterdOS is licensed under the GNU General Public License v3.0 (GPLv3). Your use of clusterdOS is governed by that license, and nothing in these Terms limits your rights under it.

Feedback. If you send us suggestions or feedback, we may use them without obligation to you.

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6. Fees

Fees, billing terms, and payment schedules for paid Services are set out in your order form or signed agreement. Fees are in US dollars and exclude applicable taxes, which you are responsible for.

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7. Disclaimers

EXCEPT AS EXPRESSLY STATED IN A SIGNED AGREEMENT WITH US, THE SERVICES ARE PROVIDED "AS IS" AND "AS AVAILABLE." TO THE FULLEST EXTENT PERMITTED BY LAW, WE DISCLAIM ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. WE DO NOT WARRANT THAT THE SERVICES WILL BE UNINTERRUPTED OR ERROR-FREE.

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8. Limitation of liability

TO THE FULLEST EXTENT PERMITTED BY LAW: (A) NEITHER PARTY IS LIABLE FOR ANY INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL, OR PUNITIVE DAMAGES, OR LOST PROFITS, REVENUE, OR DATA; AND (B) OUR TOTAL LIABILITY ARISING OUT OF THESE TERMS OR THE SERVICES WILL NOT EXCEED THE AMOUNTS YOU PAID US IN THE 12 MONTHS BEFORE THE EVENT GIVING RISE TO THE CLAIM.

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9. Indemnification

You will defend and indemnify Aranya against third-party claims arising from your Customer Data or your violation of these Terms or applicable law.

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10. Termination

You may stop using the Services at any time, subject to any commitments in your signed agreement. We may suspend or terminate your access if you materially breach these Terms or if required by law.

On termination, your right to use the Services ends. Sections 4 through 9 and 11 survive termination.

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11. Governing law

These Terms are governed by the laws of the State of California, without regard to conflict-of-law rules. Any dispute will be resolved exclusively in the state or federal courts located in San Francisco County, California, and both parties consent to that jurisdiction.

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12. Changes to these Terms

We may update these Terms from time to time. When we do, we will revise the "Last updated" date above. Material changes take effect 30 days after posting. Continued use of the Services after that means you accept the updated Terms.

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13. General

These Terms, together with any signed agreement and our Privacy Policy, are the entire agreement between you and us about the Services. If any provision is unenforceable, the rest remain in effect. Our failure to enforce a provision is not a waiver. You may not assign these Terms without our consent.

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14. Contact

Aranya Inc.

legal@aranya.tech

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Kube-State-Metrics
13.
What it is

An exporter that generates metrics about the state of Kubernetes objects (deployments, pods, nodes, etc.).

What it does in clusterdOS

While Prometheus scrapes runtime metrics like CPU and memory, Kube-State-Metrics provides a complementary view: how many pods are running, are deployments healthy, are jobs completing? It’s the “inventory report” that feeds into Grafana dashboards.

Vector
14.
What it is

A high-performance, vendor-neutral data pipeline for logs, metrics, and traces.

What it does in clusterdOS

Vector runs as both an Agent (on every node, collecting logs/metrics at the source) and an Aggregator (centralizing and transforming data before sending it to storage). Think of it as the cluster’s “postal service” — it picks up observability data from every machine and delivers it where it needs to go.

Cert-Manager
15.
What it is

A Kubernetes add-on that automates the creation, renewal, and management of TLS certificates.

What it does in clusterdOS

It automatically obtains HTTPS certificates (e.g., from Let’s Encrypt) and renews them before they expire. Without cert-manager, you’d have to manually manage certificates for every service — it’s the “locksmith” that keeps all the cluster’s HTTPS locks up to date.

NVIDIA GPU Operator
16.
What it is

An operator that automates the management of all NVIDIA software components needed to run GPU workloads on Kubernetes.

What it does in clusterdOS

It installs and manages GPU drivers, container runtimes, device plugins, and monitoring tools automatically. Instead of manually configuring each node with GPU drivers, the GPU Operator handles it all — like a “plug and play” system for GPUs in the cluster.

Node Feature Discovery (NFD)
17.
What it is

A Kubernetes add-on that detects hardware features and capabilities on each node (GPUs, CPU flags, storage types, etc.).

What it does in clusterdOS

It automatically labels nodes with their hardware capabilities so the scheduler can place workloads on the right machines. For example, it ensures GPU workloads land on GPU-equipped nodes. The “hardware census taker” for the cluster.

vLLM
18.
What it is

A high-throughput, memory-efficient inference engine for large language models (LLMs).

What it does in clusterdOS

It serves LLM models (like MiniMax-M2) with an OpenAI-compatible API, using advanced techniques like PagedAttention for efficient GPU memory usage. ClusterdOS deploys it as a ready-to-use inference service — users can run their own AI models on-cluster without managing the complexity of model serving.

StackGres
19.
What it is

A full-stack PostgreSQL distribution and operator for Kubernetes.

What it does in clusterdOS

It manages the complete lifecycle of PostgreSQL databases: provisioning, backups, high availability, monitoring, and connection pooling. Instead of manually operating database servers, StackGres handles it — like a “managed database service” but running on your own cluster. Includes TimescaleDB for time-series data by default.

WekaFS
20.
What it is

A CSI (Container Storage Interface) driver for Weka’s high-performance parallel file system.

What it does in clusterdOS

For workloads that need extreme I/O performance (AI training, HPC, large datasets), WekaFS provides a POSIX-compliant file system with much higher throughput than traditional storage. It integrates with Kubernetes via CSI so pods can mount Weka volumes like any other storage. The “sports car” storage option for I/O-intensive workloads.

Metrics Server
21.
What it is

A lightweight, in-cluster component that provides resource usage metrics (CPU and memory) for nodes and pods.

What it does in clusterdOS

It powers Kubernetes features like kubectl top, Horizontal Pod Autoscaling (HPA), and Vertical Pod Autoscaling (VPA). Without it, the cluster can’t automatically scale workloads based on real-time resource usage. The “speedometer” that autoscalers read from.