The increased adoption of microservices has necessitated a rethink in the way application performance monitoring works for distributed systems. We propose an off-the-network, stream processing approach to create a real-time copy of application chatter and use this copy as the “source of truth” to create a topology map of services. This topology map helps SREs to visually identify choke-points and hotspots and identifying API end-points makes it a completely framework agnostic approach reducing the overall time to value for performance monitoring and addressing SLA issues.
Wednesday June 1, 2016 1:20pm - 1:25pm PDT
Grand Mesa A-F