Splunk^®Cloud Platform Features

From agents to add-ons, we offer a variety of tools to make it easy to get all of your data into Splunk and manage your growing number of data sources. Data Manager offers a simple and modern user experience to onboard your data in minutes. Plus, you can enjoy centralized control with the ability to create, monitor and troubleshoot all of your data configurations in one place.

Greater visibility into your operations

Continuous monitoring of events, conditions, and critical KPIs helps keep your operations running smoothly. With scheduled searches you can create real-time dashboards and visualizations that keep your team and management informed. Out-of-the box monitoring dashboards for common IT, security, and application environments are also available in the Splunkbase app store.

Get your critical alerts in real-time

Reports can be created in real time, scheduled to run at any interval and used in your dashboards. They can also be saved and shared in secure, read-only formats like PDFs via ODBC.

Quickly and visually analyze your metrics and events data

Splunk allows for complete utilization of metrics data to boost search performance and save in data storage costs. And now with Analytics Workspace, you don't need to know SPL to browse, analyze and transform large (or small) metrics data sets or compare them with other events or non-metrics data. Accelerate time to action with easy-to-use, visual data analysis capabilities of the Analytics Workspace.

Logs to Metrics. Metrics data are numerical data points captured over time that can be compressed, stored, processed and retrieved more efficiently than logs. Scale your ability to use this data type by converting your logs into metrics.

Analytics Workspace. The Analytics Workspace is the place to quickly visually analyze metrics and events data, and take action. Technical and non-technical users can now analyze metrics as well as non-time series data with charts and visualizations such as bar charts, column charts, reference lines, and scatter plots in a visual-friendly environment. Create better performing alerts in a few quick steps directly from visual analysis results.

Incorporate AI and Machine Learning into your data strategy

Use pre-built Splunk machine learning analytics for idenfitied use cases or create your own custom machine learning models to tackle impactful issues or opportunities in your company. Splunk Machine Learning Toolkit supports custom machine learning model development through guided assistants, providing flexibility if you want to go beyond configuring a pre-built solution. The MLTK extends the Splunk platform with outlier and anomaly detection, predictive analytics and clustering to filter out the noise. Leverage pre-packaged and open source algorithms to operationalize your data with machine learning in your production environment. New, smart assistants have an easier-to-use, GUI-based approach that guide you through each step of the process, writing SPL in the background that you can review later for insight into further customization.