Some important points consider when developing an Apache Storm topology

1. Kafka Consumer lag ---kafka tool to monitor
2. Consumer group configuration of flux weaving YAML
3. Storm UI metrics such as capacity < 1
4. Spout parallelism should be equal to partition count of relevant topic
5. Bolt parallelism should be increased according to the following equation
6.                      **Throughput = Executor count * 1000/(process latency) * Capacity**
7. Topology workers and supervisor server configurations accordingly
8. Hbase database connection bottlenecks in Kerberized environment.
9. Other Storm-related configuration parameters to be set in flux topology YAML or Ambari
10. Maintain Tuple anchoring to guarantee the message processing through the downstream

References,

http://storm.apache.org/releases/1.0.6/Guaranteeing-message-processing.html
http://storm.apache.org/releases/1.0.6/Understanding-the-parallelism-of-a-Storm-topology.html