News From Logstash

In the punch, we do not use logstash for high-performance logs parsing. Why is that? Mainly because logstash is nor easily scalable nor does it provide an end-to-end acknowledgment pattern. This is a serious lack because we cannot afford to lose logs whatever happens. We thus selected an alternative technology (apache storm) to run our equivalent input/filter/output processors, Read more about News From Logstash[…]

Scaling with PML

To process and analyze data for typical analytics or machine learning use cases, it is common to hit storage and processing power issues. If the dataset is too big to be stored on your laptop drive, if it cannot be entirely loaded into memory, you must find practical solutions. It is, of course, possible to Read more about Scaling with PML[…]