The exploratory data view provides a low-friction way to work with front-end data from synthetics and real-user monitoring (RUM) data.
While a service being "up" or "down" might seem binary, the data surrounding each data point isn't. Give your team the context they need to go well beyond status codes. With Elastic Uptime, powered by open source Heartbeat, your availability data works in concert with rich context provided by logs, metrics, and APM — making it simpler to connect the dots, correlate activity, and solve problems quickly.
Organizations need to track the performance and availability of a rapidly expanding list of components and services. Investigating the inevitable question, "Is X down?" is streamlined with Elastic Uptime. Active monitoring with custom alerting options keeps you ahead of your users — ensuring they have a positive, issue-free experience.
Are elements of your website slowing down load times? Find and fix issues before they impact users with our browser-based synthetic monitoring capabilities. Simulate the user experience across multistep journeys — like the checkout flow for an ecommerce store. And then monitor user experience live from a curated view.
Get up and running fast using this simple configuration. It's API-driven and lightweight, so you can focus on making sure all your status codes are green. And because the data is stored in an Elasticsearch index, you can use machine learning and alerting to automate anomaly detection and notifications.
Heartbeat executes periodic checks to verify whether the endpoint is up or down, then reports this information, along with other useful metrics, to Elasticsearch. In this case, you've asked Heartbeat to check the uptime for the availability of the website https://www.elastic.co. Heartbeat then sends this data to Elasticsearch and you can see the data in the Uptime app.
Heartbeat was set to use the default ports for Elasticsearch and Kibana in this example. See the documentation for configuration options.
Have security events? Proxy or firewall logs? Documents with tons of text? Centralize it all in the Elastic Stack and use free and open Elastic Observability to expand your analyses, lower operational costs, and make your use case even richer.