Machine data from any applications, sensors or any data created by the user is searched and analyzed using Splunk software. Logs generated in different processes and the structured and semi-structured data is analyzed using Splunk. Data visualization is created while viewing the results. Some built-in features to identify data types and optimization of search processes. The data is searched, tagged and reports are created and dashboards are done using Splunk. Various data formats and unstructured machine data are ingested. Alerts are created so that the user will know the changes through the mail. Data could be modeled into datasets based on different domains.
Why do we need to learn Splunk?
Splunk provides data-driven results with different models and trends and these are accessible to anyone in the organization so that they can make changes or identify the patterns.
Machine data generates big data that is searched, monitored and examined using a web interface with Splunk software. The real time data is indexed and captured that produces graphs, reports, and visualizations to the user.
The real time results are easy to read and user-friendly.
Applications of Github
Splunk is used for application management and to protect the data from different users. It is used in different business and analytics to monitor the data entered and track the same. Also, it follows the compliance rules.
Database is not needed for Splunk as it stores data using indexes. This saves the storage space of the application and hence used for many applications.
It can read and understand different log files and monitor them so that the data is saved as events in indexers. This provides alerts to the user.
Different types of applications are provided and data visualization is in the form of dashboards.
On the Splunk page, click on create Apps. Add new page appears where the details of the app such as name, folder name, version, visible, author, template, description has to be filled. Click on Upload asset and upload an image or HTML as an asset file to the application. Save the app that shows different directories in Splunk software. Use the dashboard editor to create XML files. Extensions of XML can be added by modifying the dashboard. Also, dashboards can be modified by adding HTML
One should know the querying language such as SQL or any other to use the Splunk software.
Computer applications such as storing and retrieving data and getting logs from different processes should also be known by the user. The logs should be read by the user to create proper verification of data of different processes.
Logging and monitoring the data will help the user to prepare charts with Splunk.
Companies in big data and data analytics are using Splunk software to monitor and log the data. Users who need their result files to be in visual mode prefer Splunk as it does not require any database for storage. Automation is also done in Splunk.