Is there a rough guide to match EPS to an architectural sizing guide? I know
its very difficult to extrapolate out, but a rough estimate would be nice. This
may have already been attempted, and if yes, then please disregard.
Or can anyone share what they have found to work best?
For example,
POC - 1 machine
1 big machine (16 CPU, 128 RAM, 5 Tb HDD)
100 EPS - 3 machines
1 Nifi (8 CPU, 64 RAM, 5 Tb HDD)
1 Hadoop/Metron (8 CPU, 64 RAM, 5 Tb HDD)
1 Elasticsearch/Kibana (8 CPU, 64 RAM, 5 Tb HDD)
1000 EPS - 8 machines
2 Nifi cliustered (8 CPU, 64 RAM, 5 Tb HDD)
2 Hadoop (16 CPU, 128 RAM, 20 Tb HDD)
1 Metron (16 CPU, 128 RAM, 1 Tb HDD)
1 Elasticsearch data (8 CPU, 64 RAM, 20 Tb HDD)
1 Elasticsearch master (8 CPU, 64 RAM, 1 Tb HDD)
1 Kibana (8 CPU, 64 RAM, 1 Tb HDD)
10000 EPS - 14 machines
4 Nifi clustered (16 CPU, 64 RAM, 5 Tb HDD)
2 Hadoop (32 CPU, 128 RAM, 5 Tb HDD)
2 Hadoop Data Nodes (32 CPU, 128 RAM, 40 Tb HDD)
1 Metron (16 CPU, 128 RAM, 5 Tb HDD)
1 Zeppelin (32 CPU, 128 RAM, 5 Tb HDD)
2 ES data (32 CPU, 64 RAM, 40 Tb HDD)
1 ES master (32 CPU, 64 RAM, 1 Tb HDD)
1 Kibana (16 CPU, 64 RAM, 1 Tb HDD)
