October 24, 2017
1 PM EDT
Already on a continuous or short-cycle delivery? Constantly rewiring your apps with microservice and similar architectures? Maintaining visibility and maximizing service levels once this stuff gets into production could be a regular nightmare. Coding instrumentation into your apps is time-consuming and error-prone. Instead, let machine learning do the work of adapting your monitoring to your fast-moving application environments. In this webcast learn about various types of machine learning that are optimized for operational data, and see in a demo how this could be leveraged to ensure your ops move as fast as rest of your DevOps pipeline.
Dan Koloski- Vice President, Oracle
Dan Koloski is a software industry expert with broad experience as both a technologist working on the IT side and as a management executive on the vendor side.
Dan is a Vice President in Oracle's Systems Management and Security products group, which produces the Oracle Management Cloud Services and Oracle Enterprise Manager family of products.
Previously, Dan was CTO and Director of Strategy for the Web BU at Empirix, which he helped spin out and sell to Oracle in 2008. Dan is co-owner of the Maine small business STAGES, the Treasurer of PortFringe and President of the Stroudwater Village Association. Dan holds a B.A. from Yale University and an M.B.A. from Harvard Business School.