Grok

Using grok in a runtime field can be very powerful. The Grok pattern is already widely used in the Elastic Stack. You can use Grok in your Logstash pipelines as well as in Ingest Node Pipelines of Elasticsearch. Grok is a simplified and improved way to apply regular expressions (Regex) on top of your fields. …

Using Elastic APM – Real User Monitoring to calculate the success of your web application

The Elastic Stack enables users to do many different use cases. Users can enhance their search features, their visibility into the application as well as the security of the application and the company behind it. One very popular use case is real user monitoring. With Elastic Real User Monitoring you collect all the necessary information …

Dissect

Using dissect in a runtime field is another simplification of using the Grok filter. While in grok you can have any type of delimiter between the different field using dissect you always have the same. The Dissect operation is like a split operation. While a regular split operation has one delimiter for the whole string, …

Manipulate time aka applying date math

Manipulating the time can be very useful for many different use cases. You can improve your visualizations and insides into your data by calculating the hour-of-day or the day-of-week. Manipulate time painless features could be also usedd to influence the timestamp itself for improved timezone management or fixing time shift issues. Another important use case …

Business Application monitoring using the Elastic Stack

Successful business applications need to have good speed and load times. and alert you when the apps are ready to be archived for longer term use. Enterprise companies normally run several business apps together, so if your appliciation is relying on an high available environment, you will need to check for any issues, database lock-ins, …