UptimeRobot
uptimerobot.comCheck websites, endpoints, ports, DNS, and scheduled heartbeats, then send alerts when checks fail.
Check websites, endpoints, ports, DNS, and scheduled heartbeats, then send alerts when checks fail.
A network and server monitor that discovers devices, tracks performance, and routes threshold-based alarms.
Monitor networks, servers, applications, and services with discovery, performance data collection, event processing, and alerting.
A hosted server-monitoring service for host metrics, cloud integrations, containers, alerts, and dashboards.
Collect application traces, metrics, logs, and error signals with language-specific agents.
Define synthetic API and browser checks as code and run them on a schedule.
Check service availability from several regions and keep customers updated with branded status pages.
Discover network devices, graph their data, and send alerts from an SNMP-based monitoring system.
Discover, monitor, and manage Oracle and non-Oracle systems across data centers and cloud environments.
Connect employee hours, activity review, attendance, project costs, and billing in one system.
Run configurable host and service checks from a self-managed infrastructure monitor.
Track user-to-application experience across endpoints, networks, infrastructure, and cloud services.
Run containerized apps and jobs on serverless compute that can scale with HTTP traffic or events.
Mock HTTP dependencies, inspect traffic, and verify requests in integration tests.
A lightweight self-hosted dashboard for server, container, disk-health, and network monitoring.
Place managed API proxies in front of backends to govern traffic, security, and developer access.
Bill software usage and compare each customer's revenue with costs
A command-line security scanner for repositories, images, binaries, and Kubernetes targets.
Trace LLM and agent runs, then monitor production quality, latency, errors, and cost in dashboards.
An LLM request gateway and dashboard for tracing calls, latency, and model spend.
Trace AI application behavior, surface recurring issues, and monitor agent quality, latency, and cost.
Measure app startup, screen rendering, and HTTP/S request behavior, then compare performance across releases and devices.
Bring logs, metrics, traces, and infrastructure monitoring into one observability workspace.
Launch isolated Linux or Windows containers in Azure without provisioning virtual machines.