Webinar Date: 2019-12-12 09:00:00 (Pacific Time)
Performing analytics at the edge, in the data center or in the cloud, is needed in today’s distributed landscape. Edge Computing allows the flexibility of virtualized computation, network and storage resources to the edge, as an integrated solution combined with ML and AI libraries. At the heart of the solution is the open-source time series database, InfluxDB, and the data processing framework Kapacitor.
In this latest Data Science Central webinar, we will share how to build this point-and-click solution to help customers unlock the power of high-frequency data in real-time to become a data-driven organization.
Anil Joshi, Founder and CEO; AnalyticsPlus, an Advanced Analytics and predictive modeling company. Anil has cross-industry experience in analytics and has led multi-disciplinary teams to build software and analytics solutions. Formerly, Assistant Professor of Oral Health Policy and Epidemiology at Harvard School of Dental Medicine (HSDM) he taught Biostatistics and Research methods and directed HSDM’s pre-doctoral research program. He has published over 20 research papers in peer-reviewed journals in the area of dentistry, medicine, and population health. As Senior VP at Zacks Investment Research in Chiago, he managed company’s quantitative product lines and sales to financial institutions and hedge funds. His team built quantitative trading models for Wall Street firms and created research products that were sold to institutional investors. Anil also founded IntelliH, Inc., a remote patient monitoring platform using IOT medical devices and wearables where real-time analytics is used to identify high risk patients. Anil holds a Masters in Public Health from the University of Michigan, Ann Arbor. He completed his Postdoctoral Research Fellowship in Medical Informatics at Brigham and Women’s Hospital, Harvard University and holds a Bachelors in Dentistry from Calcutta University, India.
Pankaj Bhagra, Co-Founder and Software Architect at Nebbiolo Technologies, a leader of Edge computing platform with focus on enabling and managing application for IoT and Analytics at the Edge. Pankaj is leading an effort at Nebbiolo to purpose build secure distributed computing platform for the edge to enable streaming analytics, and enabling cloud native technologies, which can be managed from centralized location from On-Prem or On-Cloud. Prior to founding Nebbiolo Technologies, Pankaj was a Principal Engineer at Cisco Systems. He has extensive experience in networking technologies, software architecture, and distributed and open embedded systems with real-time characteristics. Pankaj has a Master’s degree in Computer Science & Engineering from the University of Texas, Austin, and a Bachelor’s degree in Electrical and Computer Engineering from the Indian Institute of Technology, Varanasi, India."
Track and graph your Aerospike node statistics as well as statistics for all of the configured namespaces.
Knowing how well your webserver is handling your traffic helps you build great experiences for your users. Collect server statistics to maintain exceptional performance.
Collect and graph performance metrics from the MON and OSD nodes in a Ceph storage cluster.
Use the Dovecot stats protocol to collect and graph metrics on configured domains.
Easily monitor and track key web server performance metrics from any running HAProxy instance.
Gather metrics about the running Kubernetes pods and containers for a single host.
Collect and act on a set of Mesos statistics and metrics that enable you to monitor resource usage and detect abnormal situations early.
Gather and graph metrics from this simple and lightweight messaging protocol ideal for IoT devices.
Gather phusion passenger stats to securely operate web apps, microservices & APIs with outstanding reliability, performance and control.
The Prometheus plugin gathers metrics from any webpage exposing metrics with Prometheus format.
Monitor the status of the puppet server – the success or failure of actual puppet runs on the end nodes themselves.