RadarTrek Intel — monthly score updates
We track 40+ tools so you don't have to. Score changes, new tools, and new guides — once a month, no spam.
6 tools · 6 scored dimensions
Filter by pricing model and cost. Set minimum score thresholds on any dimension. Sort by any column. Every tool links to its full radar breakdown.
6 of 6 tools
Pricing model
Max monthly price
Min Developer UX
Min Alerting
Check Coverage min
Price / Value min
Integrations min
Dashboards min
| Better Uptime Modern uptime monitoring with incident management built in | 89 | 92 | 92 | 85 | 85 | 85 | 90 | Free freemium | |
| Grafana Cloud Open-source-based monitoring stack, hosted and managed | 81 | 72 | 85 | 78 | 90 | 88 | 85 | Free freemium | |
| New Relic Full-stack observability beyond simple uptime checks | 81 | 70 | 90 | 85 | 60 | 95 | 88 | Free freemium | |
| Checkly Monitoring as code for API and browser checks | 79 | 82 | 78 | 80 | 80 | 78 | 75 | Free freemium | |
| Pingdom SolarWinds-backed monitoring with deep performance insights | 79 | 78 | 80 | 88 | 62 | 80 | 82 | $15 paid | |
| UptimeRobot The simplest, most affordable way to monitor uptime | 75 | 85 | 65 | 70 | 96 | 65 | 70 | Free freemium |
Click any tool name to see the full radar breakdown. ← Back to Uptime Monitoring overview
Each of the 6 columns is one independently scored dimension for uptime monitoring — developer ux, alerting, check coverage, and more. Scores run 0–100 and use the same methodology as every tool review and comparison page on RadarTrek, so setting a minimum threshold here filters by the exact same numbers shown elsewhere on the site.
Yes — filter by pricing model (free, freemium, paid, usage-based) and set a maximum monthly cost alongside any dimension score threshold, so you only see tools that fit both your budget and your minimum quality bar.
The main uptime monitoring category page shows one fixed ranking by overall weighted score. The screener lets you set your own filters and sort by any individual dimension, not just the overall score — useful when one specific dimension (not the overall average) is what actually matters for your use case.