I have been developing applications using Spark/Spark-Streaming but so far always used HDFS for file storage. However, I have reached a stage where I am exploring if it can be done (in production, running 24/7) without HDFS. I tried sieving though Spark user group but have not found any concrete answer so far. Note that I do use checkpoints and stateful stream processing using updateStateByKey.
Spark/Spark Streaming in production without HDFS
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Depending on the streaming(I've been using Kafka), you do not need to use checkpoints etc.
Since spark 1.3 they have implemented a direct approach with so many benefits.
If you are using Kafka, you can found out more here: https://spark.apache.org/docs/1.3.0/streaming-kafka-integration.html
Approach 2.