Splunk Cloud Platform underwent a hefty update. Among other things, the cloud-based data platform provides more observability capabilities, Kubernetes support and a workload-based pricing model.
Spunk Cloud Platform aims to enable companies in using data to optimize their business and tap into new sources of revenue. It should not matter where the data sources are located — a mission echoed throughout the functionality that the new release introduces.
According to Splunk, the platform has significantly improved insight into data, also known as observability. To illustrate, data in transit is now approachable. Ingest Actions provide more functionality for data that Splunk has not yet indexed. Actions include editing, filtering and routing options to Splunk or external AWS S3 storage.
Moreover, Data Manager allows customers to onboard data from public cloud environments such as AWS and Microsoft 365 in a simple and automated manner. Splunk notes that this functionality will soon be extended for usage with Google Cloud and Microsoft Azure.
Splunk also introduces options to its storage and value-based pricing tiers. Firstly, the new Flex Index enables cost-effective import, search and storage for lower value data.
Secondly, the introduction of SmartStore lets Splunk extend cloud-based storage to Azure. Previously, this was available for AWS and Google Cloud. Now, Splunk’s Azure customers have the option to scale while keeping storage costs under control as well.
Thirdly, functionality for Splunk Enterprise has been made accessible through the Splunk Enterprise Beta program.
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Another addition is the Federated Search tool, providing users with a unified search solution across all deployment types.
Splunk Dashboard Studio is also available on Splunk Mobile, allowing customers to showcase their most complex data insights in visually appealing dashboards. According to Splunk, it enables everyone in an organization to understand insights and take appropriate action. These dashboards can be presented anywhere with Splunk Mobile and Splunk TV.
Furthermore, Splunk is extending its self-service capabilities for developers and administrators, aiming to provide support for Splunk deployments in various environments and applications. To illustrate, Splunk Operator for Kubernetes is now generally available, introducing a way to deploy and run Splunk Enterprise inside a Docker container.
Lastly, new pricing models such as workload-based pricing make an appearance, allowing Splunk Cloud Platform purchases based on the infrastructure required. Workload-based pricing is available for all Splunk Cloud Platform customers.