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Grafana is a leading open source platform for observability and data visualization. It enables teams to analyze metrics, logs, and performance data through interactive dashboards and real time visualizations. With Grafana, you can monitor infrastructure, applications, and business metrics from multiple data sources in a single unified interface. Use cases Infrastructure monitoring dashboards Application performance monitoring Log and metrics visualization Business intelligence dashboards DevOps and SRE observability workflows Why Grafana on CloudRaya One click deployment without infrastructure management Built in PostgreSQL database for reliable configuration and dashboard storage Secure, isolated environment per deployment Automatic HTTPS and domain provisioning Easy integration with monitoring tools and data sources Grafana on CloudRaya allows teams to quickly deploy a powerful observability platform without the complexity of managing servers. Recommended resource package Grafana itself is lightweight, a single Go binary with modest memory needs, so most teams can comfortably run on smaller packages than heavier apps like BI or LMS platforms. Minimum: Nano (1 CPU, 2GB RAM), this is genuinely sufficient for most use cases, including small to medium teams with dozens of dashboards and several active data sources, not just for testing Recommended: Small (2 CPU, 4GB RAM), worth upgrading to if you rely heavily on the image rendering feature (PDF reports, alert screenshots) or run frequent high volume alert evaluations Production: Medium (6 CPU, 12GB RAM) or higher, only needed for large teams with very high dashboard traffic, many concurrent users actively querying, or heavy scheduled reporting workloads Note that Grafana's own resource usage is rarely the bottleneck, the data sources it queries (Prometheus, Loki, your databases) are usually the heavier components in an observability stack, and they run as separate systems outside this deployment.
Beszel is a lightweight, open source server monitoring platform that tracks CPU, memory, disk, network, and Docker container metrics across all your servers, with historical data, alerts, and a clean web dashboard. Unlike monitoring tools that only check if a service responds from the outside, Beszel installs a small agent directly on each server you want to monitor, giving you detailed insight into what is actually happening on that machine, not just whether it is reachable. Use cases Server hardware and resource monitoring (CPU, memory, disk, network) Docker and Podman container statistics Multiserver fleet monitoring from a single dashboard Alerting for resource thresholds, downtime, and hardware issues S.M.A.R.T. disk health monitoring Systemd service monitoring Why Beszel on CloudRaya One click deployment of the Beszel Hub with no infrastructure setup Embedded database, no separate database service to manage Secure, isolated environment per deployment Automatic HTTPS and domain provisioning Lightweight footprint, ideal for alwayson monitoring dashboards Beszel on CloudRaya lets you run the central monitoring dashboard without maintaining any server infrastructure yourself. Recommended resource package The Beszel Hub is a single lightweight Go binary with an embedded database, its resource needs scale with the number of connected agents and how much historical data you retain, not with the hub's own workload. Minimum: Nano (1 CPU, 2GB RAM), genuinely sufficient for monitoring dozens of servers with standard check intervals Recommended: Small (2 CPU, 4GB RAM), worth upgrading to if you monitor over a hundred servers or retain long historical data ranges Production: Medium (6 CPU, 12GB RAM), only needed for very large fleets with hundreds of connected agents and high frequency data collection Note: this sizing is for the Hub only. The Beszel Agent runs on each server you monitor (outside of CloudRaya), and its resource usage is negligible on those machines. Important: this deploys the Hub only, not the Agent Beszel has two components, and it is important to understand the difference before you start. Hub: the web dashboard you access through your browser. This is what CloudRaya deploys for you. Agent: a small program you install yourself on every server you want to monitor. The agent connects back to your Hub and reports system metrics. After your Hub is running, you still need to install the Agent separately on each server you want to monitor. The Hub alone does not monitor anything by itself, it is the dashboard that receives and displays data from your agents.
Uptime Kuma is a selfhosted uptime monitoring tool that allows you to track the availability and performance of websites, APIs, and services in real time. It provides a clean dashboard, flexible alerting options, and status pages to keep your team informed about system health. With Uptime Kuma, you can monitor critical infrastructure, detect downtime instantly, and receive notifications when services become unavailable. Use cases Website uptime monitoring API availability monitoring Infrastructure health tracking Public service status pages Internal service monitoring for engineering teams Why Uptime Kuma on CloudRaya Oneclick deployment with no infrastructure setup Persistent storage for monitoring data Secure and isolated application environment Automatic HTTPS and domain provisioning Scalable containerbased runtime Uptime Kuma on CloudRaya is ideal for startups, DevOps teams, and businesses that need reliable uptime monitoring without managing servers or complex infrastructure.