During its online .conf21 conference Splunk Inc. today revealed a bevy of updates that advance observability while at the same time reducing the total cost of deploying its platforms.
As part of that effort, Splunk also announced it will now make workload-based pricing available to all customers.
Previously, a select number of small customers had access to workload-based pricing while other customers licensed Splunk platforms based on how much data was loaded into the platform. That approach, however, tends to discourage IT teams from loading as much of their data as possible.
CEO Doug Merritt said workload pricing was created to enable a value-oriented pricing model that customers could employ instead of a data-centric model that can discourage IT teams from analyzing as much data as possible to improve IT operations.
To further lower total costs, the company is also previewing a Flex Index option for customers that choose workload-based pricing to enable longer retention for lower-value data at a lower cost. Splunk is also expanding its cloud storage to include a preview of SmartStore, which allows larger volumes of data to be stored more cost-effectively on Microsoft Azure Cloud initially with support for Amazon Web Services (AWS) and Google Cloud Platform (GCP) forthcoming.
Other enhancements to the portfolio include a preview of a data manager, a revamped onboarding tool for data stored in Amazon Web Services (AWS) and Microsoft Office 365, and Ingest Actions, which enables IT teams to act on data in motion in addition to data at rest stored in Splunk or the S3 cloud service from AWS.
The company is also now making it easier to find and explore data via a federated search tool and a Splunk Dashboard Studio offering, available via Splunk Mobile, that makes it easier to create dashboards.
At the same time, the company is also making available Splunk Operator for Kubernetes to make it easier to install its platforms in cloud-native environments. There is also now Splunkbase, a curated catalog that makes it simpler to find or develop a Splunk application.
In terms of observability, the company is providing a preview of AlwaysOn Profiling for its application performance management (APM) platform, dubbed Splunk APM. AlwaysOn Profiling extends existing tracing capabilities to provide continuous code-level visibility and analysis.
In addition, there is now a preview of an enhanced version of Database Visibility for Splunk APM, which automatically uncovers slow queries that are causing transaction latency without having to instrument a database.
The company also announced that its real user monitoring (RUM) for mobile applications, which makes use of open source, now is generally available alongside the Splunk Observability Cloud for Mobile platform. The company also revealed there are previews of integration between Splunk Log Observer and Splunk Enterprise and Splunk Infrastructure Monitoring AutoDetect, a tool that automatically discovers infrastructure anomalies. There are also now additional Content Packs for managing Microsoft365, third-party APM tools and synthetic monitoring.
Finally, Splunk has expanded its security portfolio to include Splunk SOAR App Editor, which provides a way to edit, test and create security orchestration, automation and remediation (SOAR) applications. There are now more than 350 SOAR apps now available on Splunkbase. The company also launched Splunk Intelligence Management based on a platform it gained with the acquisition of TruSTAR earlier this year and that it is making available security services via a team of experts dubbed SURGe.
It’s not clear to what degree these additions will enable Splunk to fend off what has become a larger number of rival providers of observability platforms. However, as one of the most widely used IT operations management platforms in the enterprise, it’s clear Splunk enjoys an incumbent leader status it is determined to maintain.
