The term Elastic Stack stands for the technologies Elasticsearch, Kibana, Logstash and Beats. If you want to extract the maximum of intuitively prepared information from your data, you can't avoid the open source solutions from Elastic.
The Elastic Stack provides you with a powerful tool to cover the most diverse requirements of your business. The Elastic database is specialized in storing and retrieving large amounts of data. Using this technology, you can implement the requirements of a full-text search.
The Elastic Stack offers a central storage location within the framework of log management for all log and trace files. At this central location, the information can not only be stored, but also evaluated as part of log file analysis and linked to further information. This makes it possible to identify problems or security incidents in the system operation.
Host, container, cloud and application metrics such as performance or state values can be stored in the Elastic database using Metric Beat. Using dashboards or via ad-hoc queries, you can perform an evaluation of infrastructure and cloud metrics.
Starting with Elastic Stack version 7.2, SIEM functionality is provided in the free version. Using the Security Information and Event Management System, you let Elastic analyze data streams from logs and metrics in the background and receive an alert as soon as security breaches are detected.
Elasticsearch is one of the most popular data analysis tools on the market. Depending on the purpose of use, it is worth considering which technology is the best fit for solving the requirement. Below we have highlighted a few defining features:
Conclusion: Elastic offers you numerous possibilities for the most diverse use cases. As a certified Elastic partner, Robotron is at your service to help you implement the right analytics tool for your needs.
Robotron is at your side as a provider for numerous services related to the Elastic product portfolio. Our experts have a lot of experience in building high availability services and in data analysis and provisioning. Numerous extensions of Elasticsearch functionalities are also possible, for example through data analysis using Python.
Reduce your installation efforts and use the automation tool ansible to install and configure Beats on the source systems. For more information, see our Data Center Automation.