I like to leverage our technologies to ensure our products have a pleasant user experience. Elastic Synthetics enables you to configure it in an out-of-the-box experience directly through your Elastic Cloud deployment without the need to install anything! It also works across the globe with multiple locations you can choose from. Ever wondered how fast your web service is when accessed from Japan, Germany, or the eastern U.S.? Now you can do this by simply clicking on a checkbox.

Hopefully by now you’re taken your first sip of Elastic RUM, or real user monitoring, and see the power of searching through traces and the User Experience metrics to gain insights into how users actually use and experience your application. One issue you may have experienced is the challenge of finding the source of errors for minified JavaScript files.

Creating personalized search experiences can be challenging. In this post, we’ll demystify the steps to get started, so you can prioritize search results according to user profiles, offer relevant recommendations, and accelerate workflows. But before we get to that, let’s address why personalized search matters.

In this article, we'll explore the concepts of variants and SKUs in ecommerce, and how to best handle these when modeling data for your ecommerce search experiences. We're optimizing our models using Elastic Enterprise Search.

Understanding if your applications are not just available but also functioning as expected is critical for any organization. Third-party dependencies and different end-user device types means that infrastructure monitoring and application observability alone are not enough to spot and minimize the impact of application anomalies.

One thing that adds value to a business’s ecommerce presence is the ability for customers to easily find physical stores with an interactive map. Store locators can be built quite rapidly — all you need to place them on a map is geographic location in latitude and longitude. In this post, I’ll outline the pieces needed to put together a proof-of-concept store locator that could later be added to an ecommerce website.

So, what is Universal Profiling™? Universal Profiling™ is fast emerging as an important component of observability. A standard feature inside hyperscalers since approximately 2010, the technology is slowly percolating into the wider industry. Universal Profiling™ allows you to see what your code is doing all the time, in production across a wide range of languages and can profile both user-space and kernel-space code.

Elastic continues to help everyone find what they need faster with Elastic Enterprise Search, a comprehensive solution for building search-powered applications. Elastic Enterprise Search elevates relevance and precision at scale with a new combination of traditional and machine learning-assisted techniques.

From its inception as a powerhouse for logging, Elastic Observability has grown into a comprehensive solution for full-stack multi and hybrid-cloud observability. Given the increasing complexity of the cloud-native world, the major challenge for observability is twofold: getting deeper and more frictionless visibility at all levels of applications, services, and infrastructure, and making sense of the overwhelming amount of data that is available.