Elastic Announces User Experience Monitoring and Synthetics to Improve Website Experiences
Introducing Expanded Observability Features to Enhance Measurement, Monitoring, and Understanding of Website Performance Metrics
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Launching a new, dedicated User Experience app in Kibana to monitor key digital user experience metrics, including Core Web Vitals
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Expanding synthetic monitoring capabilities to test and optimize websites with multistep journey checks in Elastic Uptime
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Introducing one-click anomaly detections to detect common infrastructure issues, making it easier to keep tabs on the health of thousands of hosts or containers
Elastic (NYSE: ESTC) (“Elastic”), the company behind Elasticsearch and the Elastic Stack, today announced expanded Elastic Observability features including user experience monitoring and synthetics to give developers new tools to test, measure, and optimize end-user digital experiences.
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With the launch of a new dedicated User Experience app in Kibana, Elastic users can get a better view and understanding of how end users experience their websites. According to a recent McKinsey Digital article1, organizations that use technology to revamp the customer experience can carve out significant differentiation — increasing customer satisfaction by 15 to 20%, reducing cost to serve by 20 to 40%, and boosting conversion rates and growth by 20%.
The new User Experience app provides expanded insight into well-known performance metrics like paint time, long task duration, and total blocking time. In addition, Elastic users can leverage the new user experience monitoring feature to review Core Web Vitals to help website developers interpret digital experience signals.
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In addition, Elastic users can now leverage a dev preview release of synthetic monitoring with multistep journey tests in Elastic Uptime. This new feature enables customers to simulate complex user flows, measure performance, and optimize new interaction paths without impact to a website’s end users.
Elastic Observability customers benefit from continued updates to features that use machine learning to automate or improve common observability workflows. With this launch, customers can leverage turnkey anomaly detection for infrastructure health monitoring, making it easy to detect common infrastructure issues across thousands of resources.
