Meeseeks(Service-Graph)

Transcript

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15. • Graph of services across Flipkart. • Understands dependencies between services. • Enable org-wide scenarios like BCP • Rich querying on service topologies. • Intelligent cluster-recognition.
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19. • Enrichment of the data • Builds real-time service topology of Flipkart network. • Intelligent data-store cluster recognition. • Store in a graph DB.
20. • Identify the services running on VMs using port scan. • Cluster data-stores on the basis of services running on VMs and network topology. • We cluster Hadoop, MySql, ElasticSearch, Redis, Aerospike, MongoDB and many more.
25. Meeseeks Overlays • “Overlays” sprinkle additional information on the base service-graph layer. • Overlay definition - a set of possible annotations over the graph nodes and edges • Meeseeks provides APIs to ◦ Create / register custom overlay ◦ Annotate the base Meeseeks graph with custom overlay data ◦ Query based on the annotations
26. Meeseeks Overlays’ Example • Data DR overlay ◦ Trigger an event to the Backup/DR infrastructure ◦ Validate schedules configured for recovery point objective etc. • BCP overlay ◦ Tag services with a certain “criticality level” and a recovery time objective for the same in case of a disaster ◦ Tag edges as “essential”, “optional” etc. ◦ Detect anomalies.
27. Tag annotations on Services
28. Tagged Services
30. Anomaly Detection
31. Anomaly Detection Contd...
32. Services Boot Order
33. Meeseeks Journey So Far • • ◦ •
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37. Gaurav Sharma gaurav.ss@flipkart.com 9901429252