One-click upgrade or downgrade cloud hosting plans for Prometheus to fit your business needs.
Orchestrator | Kubernetes | |
Operating System for Managed Prometheus | Ubuntu 18.04 LTS | |
Container Runtime | Docker | |
SSL Connection for Prometheus on Kubernetes | ||
Instance for Prometheus on Kubernetes | Dedicated |
Prometheus implements a highly dimensional data model. This flexible data model enables you to discover problems in real-time without recreating the issue outside of the system after the event.
There are a lot of exporters that help in exporting existing metrics from third-party systems as Prometheus metrics into Prometheus. They are either official or externally contributed and maintained.
Prometheus provides PromQL, a functional query language, that allows slicing and dicing of collected time-series data to generate ad-hoc graphs, tables, alerts, etc.
Client libraries allow for adding instrumentation to target services. More than 20 languages are already supported. They includes official client libraries, like Go and Python, and a variety of third-party ones, such as C++ and bash.
Prometheus has a built-in expression browser for visualizing data. Besides that, it also allows for Grafana integration or a console template language to visualize Prometheus metrics.
Prometheus can send notifications about firing alerts to external services based on the alerting rules you set, monitoring the health of your servers, apps, and services.
Cloud hosting enables applications and websites to be accessed using cloud resources. Unlike traditional hosting, the solution is not deployed on a single server. On the contrary, a network composed of connected virtual and physical cloud servers carries applications or websites, ensuring greater flexibility and scalability. The cloud Prometheus hosting platform is a cluster of powerful servers that tolerates a single point of hardware failures and increases loads, guaranteeing a high uptime.