Reporting you need, when you need it
Monitoring is more than just up time, or is it 200 OK! Only APImetrics has integrated analysis driven by machine learning systems trained on more than a billion API calls to give you the data you need to understand how APIs are really working and impacting your customers or your services.
Free monthly dashboards, contact us for weekly and real time updates from our premium Monitoring as a Service product
Easily Set API Compliance Targets
Set service compliance criteria based on any of the data returned by your APIs. Have a regulatory or client set SLA need for a specific timing component, set alerts and triggers based on the result, with or without networking effects. Automatically count the number of returned items either for a regulatory requirement or spot performance problems in otherwise healthy looking APIs.
APImetrics doesn’t just show how your API is working in terms of pass rates, latency and other data, we provide indicative comparisons against similar APIs in your sector and similar types of organization.
You may be happy with your performance, but how does it measure up to the rest of the industry?
Understand how latency impacts you
Only APImetrics is truly cross-cloud, with application servers hosted on all 4 major clouds and other locations too. If that isn’t enough, you can install one of our containers where you need it, or even on a micro-controller device like a Raspberry Pi.
All results are logged and categorized against your historical performance and industry benchmarks to flag outliers, problems and areas of potential concern.
Clear uptime reporting
Uptime reporting and alerts are part of the process, as well as statistical analysis of the latency and heat map and histographic analysis of when things slow down and where that happens. It’s fine being responsive in the USA, but what happens when your customers are in Japan?
API Ratings With CASC
With CASC you get a single, simple score for the quality of your APIs:
- Uses a patent pending model to identify performance issues
- Takes into account uptime and latency
- Allows for like for like comparisons on APIs from different vendors
Machine learning algorithms detect outliers, classify them by likely cause – i.e cloud, location or server and flag them for easy review at at a later date. Combined with ‘water marking’ of calls, this can be a powerful tool for problem solving and a huge money saver.
Get to the issues quickly without wasting hours on endless elastic searches and more.