Splunk + Delphix: Seeing More, Doing More
As a part of our 5.3 platform release, Delphix joined forces with Splunk to equip enterprises with the tools they need to achieve unprecedented insight into the flow of data across the software development lifecycle (SDLC). These organizations are undergoing massive transformation initiatives and are waking up to the reality that data, in many cases, is their biggest bottleneck to innovating at the speed required to compete in today’s digital economy. Having the ability to understand “data bottlenecks” at this level will be immensely helpful for companies in their quest for continuous development and deployment.
As the leading application monitoring tool, Splunk enables developers to self-diagnose issues during development and testing, which eases the operational challenges that significantly delay the production cycle. Customers can now assess the overall health of their Delphix engines through Splunk’s extensive visualization capabilities—which enables data consumers and operators alike to gather data-driven insights quicker and more efficiently. This increased visibility also simplifies and expedites the way data is accessed and correlated from multiple sources.
Through this integration, customers will have the ability to:
- Self-monitor, diagnose, and troubleshoot the health of Delphix Engines;
- Allow Delphix Engine(s) to automatically send structured JSON logs to Splunk that capture activity on those Delphix engine(s). These logs include Delphix events (Actions, Job Events, Faults, and Alerts) as well as performance metrics (CPU, disk, network, TCP, dataset, NFS, iSCSI) and capacity metrics;
- Search and visualize actionable information through a centralized, comprehensive dashboard of Delphix activity (including the ability to cross-reference information from multiple Delphix engines).
It’s no secret that operational hurdles and data silos have been par for the course when it comes to the development cycle. But through this integration, the manual aggregation of data-driven insights will become a thing of the past and will ultimately help customers reach their data transformation and delivery goals.