# 👋 introducing qryn.cloud

# qryn cloud is ready ☁️

[![](https://github.com/metrico/qryn-docs/assets/1423657/a5164f98-d3ed-4638-afe5-c87d252c74af align="left")](https://qryn.cloud)

Our managed [**qryn.cloud**](https://qryn.cloud) service [*just launched on gigapipe*](https://qryn.cloud)  🚀

*What do we offer?*

⭐ Unlimited *Logs, Metrics, Traces & Custom Integrations*  
⭐ Only Pay for Data Ingestion + Labels Ingestion volume  
⭐ Built-in Grafana UI & ClickHouse Storage w/ [DoubleCloud](https://double.cloud)  
⭐ Fully Managed, Secure, Auto-Scaling on K8s  
⭐ Made in EU, available in any AWS/GCP region

### 🔋 Batteries Included

✔️ We keep things simple. Logs, Metrics and Traces without headaches.  
✔️ Customers only pay for ingested [traffic and labels](https://qryn.metrico.in/#/faq?id=fingerprints). No storage costs.  
✔️ Services scale as you go and allow easy forecasting of future costs.  
✔️ All inclusive. No Servers or ClickHouse nodes to manage and budget.

### 💛 Bring Your Own ClickHouse Storage

✔️ Bring your own [ClickHouse Cloud Services](https://clickhouse.cloud/signIn?refer=qryn.cloud) for infinite capacity and performance.

### 🕹️ Endless Integrations

✔️ Ingest compatible with *Loki, Prometheus, Tempo, Pyroscope and much more.*  
✔️ Fully Supports *Open Telemetry* for Logs, Metrics and Traces.

✔️ Bring your own Grafana with *infinite users* or use the embedded deployment.

### 🗃️ Dedicated Options

✔️ Dedicated qryn nodes with *metered and unmetered* ingestion.  
✔️ Dedicated ClickHouse Clusters w/ Full remote access in any region.

### ⚡ Gigapipe Powered

We choose [Gigapipe](https://gigapipe.com) to operate our fully managed and scalable **qryn:cloud** experience, allowing users to enjoy our stack and deploy its polyglot features in minutes, instantly ready to ingest, store and query all of their observability data.

**Gigapipe** runs a next-generation managed cloud platform offering a solid ecosystem of connected technologies for software startups like ours, backed by a team of *super smart engineers* in an open culture environment where innovation is second nature.

Just the *perfect fit for the* ***qryn*** *gang and our polyglot observability vision!* 🔎

# 🧠🤯🎱 = 💵 ?

## Motivation

Most cloud observability platforms *include a free headache* in the pricing model.

Assuming they do support *logs, metrics and tracing* in a single service, most tend to rate each typology differently, forcing specific agents or formats on users and sometimes they make things *overly complex* to plan and forecast.

If you can figure out the pricing model, the majority of service results are crazy *expensive*. Other *"dirt cheap"* tracing platforms appear to operate without any regard for EU/US privacy laws, security and compliance. *A pure recipe for disaster.*

*We wanted our service to be a solution, rather than another puzzle to crack.*

With Gigapipe, we can operate **qryn** as a *state-of-the-art affordable service.*

**If you try our Service out, let us know how we did!**

### ⚡ [OpenSource](https://qryn.dev)

Prefer to run your own stack? Help yourself to our [qryn-oss](https://qryn.dev) stack with no limits!

[![](https://user-images.githubusercontent.com/1423657/199849352-c95ea724-ccf0-4244-a879-643a87c0ee6d.png align="left")](https://qryn.cloud)