The ELK Stack is the combination of Elasticsearch, Logstash, and Kibana that is used specifically in log analytics. Logstash ships log data to Elasticsearch, which indexes the information in a searchable datastore. Kibana then takes the datastore and shows the information in graphical format for log analysis. Logstash is developed by Ruby, Kibana by javascript, Elasticsearch by Java

ELK setting in CentOS

We can use script to install ELK in CentOS

Questions for Scala and AKKA

Q1: How to use the scalability of AKKA? what’s you use environment?
Benefit for Scala develop Backend APIs
Speed,, no overhead, less CPU, Less code, Scaliabity
AKKA.io package : event -driven , non-blocking, async
Play!
Lift

Q2: What’s the advantage and disadvantage of AKKA and Scala to develop the RESTful APIs?

##Kafka (1) Web activty tracking: web page , user operation, send to Kafka (2) Log aggregation : Monitor and offline analyze log Producer: application send operation log synchronize to Kafka cluster Consumer: user hadoop + elastic search to (3) You mentioned Erlang,.l only use the payment component by Erlang