Monasca is a new cloud-scale, multi-tenant, high performance, fault-tolerant OpenStack Monitoring as a Service (MONaaS) platform described at, https://wiki.openstack.org/wiki/Monasca
, that is currently focused on real-time streaming metrics storage/retrieval, alarming and notifications. Development of anomaly detection is in-progress. StackTach.v3, https://github.com/StackTach
, is a stream-based processing system for events that is being integrated with Monasca to provide a unified metrics and events processing system.
Join Roland Hochmuth, HP Software Architect, Tong Li, IBM Senior Software Engineer, and Sandy Walsh, Rackspace Senior Software Developer, for an architectural deep-dive of the Monasca components, RESTful API (monasca-api), Agent (monasca-agent), Client (python-monascaclient), Horizon dashboard and the future plans for integrating with the StackTach streaming events-processing pipeline. We will review the technologies used, such as Apache Kafka, InfluxDB and Apache Storm, as well as third-party integrations, such as the excellent metrics dashboard Grafana, http://grafana.org/
. Our work in performance analysis will be shown.
Early results of anomaly detection based on the NuPIC Cortical Learning Algorithm (CLA),http://numenta.org/nupic.html
, will be presented.
Although Monasca is a relatively new project it is ready for deployment today and comes with a turn-key development environment based on Vagrant and Docker. We will demonstrate several key areas of the solution.