Our DevOps Expert – Abhishek Amralkar will speak at the Pune Data Conference.
“Onyx- Distributed Computation for the Cloud”
About the event:
The Pune Data Conference brings together the Big Data Analytics community in Pune for a day-long event with multiple sessions on different topics such as Machine Learning, Artificial Intelligence, IoT, Hadoop Administration and many more conducted by the esteemed industry leaders and experts.
Our IoT Expert, Pankaj Mendki will be presenting a paper at ICBT (International Conference on Blockchain Technology), 2019.
“Blockchain Enabled IoT Edge Computing”
About the event:
The International Conference on Blockchain Technology (ICBCT 2019) which will be held in Honolulu, Hawaii, USA during March 15-18, 2019 this year.
The conference aims to provide a forum for researchers, scientists, engineers, and scholar students from both the industry and the academia to share their newest research findings and results; bring together delegates across key industries for one day of world-class content from leading brands embracing and developing cutting edge blockchain technologies.
Monitoring modern real time distributed infrastructure is complex and expensive. In this talk we explore Riemann, specifically, how Riemann’s low latency helped us to get real time metrics from our Distributed Systems.
Large scale real time distributed systems require emitting hundreds of thousands of metrics per seconds for effective monitoring. A significant portions of metrics are either not of any use or we don’t understand them. With the rapid growth in infrastructure, monitoring infrastructure in real time and getting accurate metrics becomes challenging especially when you have an in-house monitoring setup.
Most monitoring systems are pull/poll based where your monitoring system queries the components being monitored. Pull based monitoring systems, where the system keeps changing some x values in every y minutes, are literally dead.
Riemann is a monitoring tool that aggregates events from hosts, servers and applications and can feed them into a stream processing language to be manipulated, summarized or action-ed. Riemann is fast and highly configurable. Most importantly, it is an event-centric push model.
We use Riemann to monitor Distributed Systems. Catching problems in real time requires monitoring tools that have low latency to detect errors faster and immediately see if the fix is working. Riemann provides this along with a transient shared state for systems with many moving parts.
Indoor positioning problem using Wi-Fi signal fingerprints can be viewed as a machine-learning task to be solved mathematically. This white paper proposes an efficient and reliable Wi-Fi real-time indoor positioning system using fingerprinting algorithm.