Service

Run Prometheus in Quix

Run a Prometheus instance in Quix

Quix allows you to deploy any containerized application, code or service and easily assign resources and scale your deployment. Network access is simply configured via the industry standard YAML configuration.

100% Python

No JVM, wrappers, DSL, or cross-language debugging. Quix provides a Python Streaming DataFrame API that treats data streams as continuously updating tables.

Rich stream processing features

Quix supports stateless and stateful operations, aggregations over hopping and tumbling windows, custom data processing functions, and exactly-once semantics.

Dependable at scale

Quix is scalable, highly available, and fault tolerant. It's optimized to process high-volume, high-velocity data streams with consistently low latencies.

How to deploy Prometheus to Quix Cloud

Prometheus: an open-source monitoring and alerting toolkit designed for reliability and scalability. Prometheus collects metrics from configured targets at given intervals, evaluates rule expressions, and can trigger alerts when conditions are observed.

Quix Cloud allows users to deploy apps and services without having to know:

  • Kubernetes
  • Networking
  • CI/CD

To deploy this service:

  • Login to Quix
  • Navigate to Services
  • Locate the tile for this integration
  • Provide any required details
  • Click Deploy