Make Operational Data Simple with the Elastic Stack

Editor's Note (August 3, 2021): This post uses deprecated features. Please reference the map custom regions with reverse geocoding documentation for current instructions.

This post is part of the Elastic{ON} 2018 blog series where we recap specific demos and related deep-dive sessions from the conference. From machine learning forecasting to APM to security analytics with Mr. Robot — check out the list at the bottom of this post.

A broken shopping cart on your website can cause customer frustration, and every minute spent troubleshooting the source of the problem is money down the drain. Isolating the root cause of that issue, and doing it quickly, can save your business big bucks and sleepless nights.

For that, you need the right tools. Elasticsearch unifies complex monitoring and operational analysis into a single workspace to make troubleshooting a breeze. Watch Tanya Bragin's demo from Elastic{ON} 2018 where she demonstrates how the Elastic Stack can save you time and money.

What if you already have tools in place for monitoring? Performance anomalies on a website, or within an application, can be difficult to track down using single-purpose tools, especially when working between different environments. When you find the issue, you might not see the larger picture behind it. So, how to see the entire landscape of your business KPIs in one, simplified workspace?

In this 10-minute demo, transactional data fed directly into Elasticsearch allows Tanya to monitor several business-level KPIs, their health, and the anomalies that might appear on a typical business day. Being a demo, an anomaly naturally shows its teeth — an unusual spike in shopping cart abandon rates. Using Beats, Elastic APM, and machine learning jobs, Tanya shows the simplicity of isolating the issue and determining its root cause — all with a few simple clicks. Step-by-step, Tanya demos how these traditionally disparate operational tools are visualized in Kibana, bringing KPIs, application metrics, and system errors to life in one convenient location.

Want to learn more about operational troubleshooting using the Elastic Stack? In Logs, Metrics, and APM: The Holy Trinity of Operations, Tanya Bragin takes a deeper dive into how APM, logs, and metrics work together in the Elastic Stack to give you a holistic view of your operations and provide a faster, unified response to anomalies as they (inevitably) arise.

See what else we covered during the conference in these recaps: