Case Studies of Transient and Extreme Variability Science
Invited
Twenty years ago, astronomers learned to use SQL to ask for data from astronomical catalogues. Those quasi-static databases are being overtaken with a deluge of transient observations from surveys such as ZTF and LSST, where astronomers might be more effective with a new technology -- Kafka. Instead of asking, the new paradigm is to set up a listener service, so that the event broker pushes alerts as soon as they are available, and the listener can handle them in a variety of ways, perhaps sending email or slack, by pushing the alert into the queue of a marshal, or even automated follow-up observation. This brief talk with summarise the essential concepts of Kafka.
All attendees are expected to show respect and courtesy to other attendees and staff, and to adhere to the NAM Code of Conduct.