Software Alternatives & Reviews

Downtime Monkey

Downtime Monkey: website downtime alerts & uptime monitoring worldwide. subtitle

Downtime Monkey Alternatives [Page 6]

The best Downtime Monkey alternatives based on verified products, community votes, reviews and other factors.
Latest update:

  1. /cula-alternatives

    A webmonitoring solution for beginners and pros.

  2. /apichecker-alternatives

    Reliable uptime and performance monitoring for your services

    paid Free Trial $4.99 / Monthly (10 monitors, 5 status pages, 1-minute schedules, 5 regions)

  3. Try for free

    Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app.

    Try for free paid Free Trial

  4. /montastic-alternatives

    Receive instant alert notification when your website goes down. Easy to use user interface.

  5. /pingping-alternatives

    A simple tool to monitor your website and SSL

  6. /cabot-alternatives

    Self-hosted, easily-deployable monitoring and alerts service - like a lightweight PagerDuty

    Open Source

  7. /admin-labs-alternatives

    Status Pages with integrated Website Monitoring - All in one package.

  8. /uptime-kuma-alternatives

    A fancy self-hosted monitoring tool.

  9. /intodns-alternatives

    IntoDNS checks the health and configuration and provides DNS report and mail servers report.

  10. /uptime-doctor-alternatives

    You can monitor up to 5 URLs with 1-minute monitoring interval, for FREE!

  11. /logicmonitor-alternatives

    LogicMonitor is the SaaS performance monitoring platform for the world's best IT teams. Deploy Fast, Monitor More, Improve Ops.

  12. /pinger-alternatives

    Pinger lets you text and talk free with the people you care about most, anywhere on the planet.

  13. /cstate-alternatives

    🔥 Free & open source under MIT!

  14. /newrelic-alternatives

    New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

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