Cassandra is at the forefront of the distributed database push. Many companies are turning to Cassandra for its low-latency writes and configur
But with each new server comes monitoring responsibility. How do we monitor a cluster with many nodes? What statistics do we want to see at-a-g?
Additionally, these metrics that are being created also need to be stored. How should the data points be kept? What is a useful level of granu
Enter Riemann, a stream-based monitoring system built to watch events from all across the network, in real-time.
Although the talk focuses on Cassandra-specific statistics, these lessons in distributed monitoring can easily apply to other kinds of distribu
This talk will cover:
At the end, the participant will have an understanding of what is needed to effectively monitor their own distributed system.
Patricia Gorla is an Apache Cassandra Architect at The Last Pickle, a Cassandra consultancy.
She has been involved in all aspects of software development, from server administration to application development, and from data analysis to data storage.
She has worked with companies and governmental entities on all aspects of data migration to non-relational data stores, and training the technical teams on the new architecture.
She helped the US Patent and Trademark Office ingest more than 6 million patent documents and images; architect secure search systems for a large mortgage insurer; and introduce Cassandra to a digital marketing firm’s data pipeline.
Prior to architecting databases Patricia focused on the analysis and visualization of data.
Patricia speaks often at conferences and meetups such as O’Reilly’s StrataConf + Hadoop World, the Datastax Cassandra Summits, and local user groups. She was also voted a DataStax MVP for Apache Cassandra by the community.
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