Splunk announced the general availability of Splunk Storm, a cloud service for organizations that develop and run applications in the public cloud, using services such as Amazon Web Services (AWS), Heroku, Google App Engine, Rackspace, and others.
With Splunk Storm, users can diagnose and troubleshoot application problems immediately, gain rapid visibility and insight into cloud-based applications, and monitor critical business metrics for more effective operational intelligence.
"As more organizations and developers move their projects to the cloud, we want to be there with them," said Godfrey Sullivan, Chairman and CEO, Splunk. "Customers run Splunk Enterprise on premises and in clouds today, and now, Splunk Storm provides developers with an easy-to-use, subscription version of our software. Feedback during the public beta program has been extremely positive, with hundreds of active projects during the beta phase."
Splunk Storm runs as a fully managed, multi-tenant service on AWS and dynamically provisions all the resources needed to store and analyze data.
Splunk Storm offers:
- Monthly, pay-as-you-go pricing, payable by credit card
- No installation or maintenance of hardware or software
- The ability to scale storage up or down as needed, on demand, using a simple slider
With the emergence of cloud computing, developers discovered a fast route to market for new, innovative applications. People developing and running applications in the cloud can now get the visibility and insights they are used to getting with Splunk software for applications running in their own environments.
Key Features in Splunk Storm:
- Store Machine Data from Any Source -Index and store machine data in real-time from any source, format, platform, or cloud provider without needing custom parsers or connectors.
- Search, Investigate, Correlate -Use the powerful Splunk search language to search real-time and historical machine data, filter events, correlate information across various data types, link transactions across multiple application components, and trend critical operational parameters.
- Report and Analyze - Extract the precise information you need out of your machine data and generate reports dynamically and iteratively.
- Collaborate and Share - Share projects with others in your organization to generate cross-functional views of the data.
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