Challenges to Monitoring a Fast Data Application

Knoldus Blogs

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In the present landscape, the buzzword is “Fast Data” and it is nothing but data that is not at rest. And since the data is not a rest, the traditional techniques of working on the data that is rest are no longer efficient and relevant. The importance of streaming has grown, as it provides a competitive advantage that reduces the time gap between data arrival and information analysis.The business enterprises demand the availability, scalability and resilience as implicit characteristics in the applications and this is catered with the micro service architectures. And these micro services are needing to deal with this real-time requirement of dealing with fast data.

The integration of the fast data processing tools and micro services leads to a system that is Fast Data Application. These Fast Data applications process and extract value from data in near-real-time. Technologies such as Apache Spark, Apache Kafka, and Apache Cassandra…

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