ELK stack implementation

Hi there, Thanks for sharing your requirement. On my experience with Elastic Search - to provide you a better understanding of how this has been accomplished by me - I would like to run you through an example of one of my projects. This was the "Expert Witness Profiler" project where I have a lot of unstructured and unorganized data in the form of witness files with detailed description of the cases under and post trial. These files had a plethora of information and we had to somehow extract the pieces of information related to a certain kind of profiles and witnesses. I made use of the "River" concept to pull the data and Logstash to pipeline the data. Exploiting Kibana - I channelized the data in the form of blocks in Elasticsearch. Using this mechanism I could break the document information into relevant pieces that helped me to create small, fragmented, structure data items in ElasticSearch to find the names of the witnesses and profiles that were relevant for any custom search. As our backend for JL was in Mongodb so we use mongoosastic (using elasticsearch with mongodb). We used Kibana for visualizing and analyzing the data query,and provides an interface to end user with all the info. Kind regards, Dave

Hello, I have more than 8 years of experience of developing and testing large scale web applications. I have been involved in every step of the development and testing process. The last project i was working on was automated integration testing system that i developed from scratch and successfully deployed using AWS. Now this system can test unlimited version of the product and can execute various integration tests and testing tools. It provides reporting in real time to the development team. One of the key assets of the system was its ELK implementation that we builded from scratch. Now the ELK implementation is used in production. I will be happy to discuss further details and to answer any questions you have regarding my experience. Best Regards Georgi Bulanov

I've used Elastic search for a project recently. Overall, it can be done that: - install and configure a cluster of Elastic search - build Logstash configuration file for the execution, or write a client program (such as Java) to read/import data from log file to Elastic search - create various reports in Kibana

Greetings I have experience in setting up elk 3 and 4 on Ubuntu servers. I assume we are talking about the basic setup of a single server holding elastic search and Kibana. And several we servers containing apache or nginx I'll need access to all servers during the setup The dashboard can be secured via http basic authentication Regards