Hi, I currently working on a project which looks like yours.
We are using vert.x for implementing web services. Each request is formatted as json and sent to a kafka topic. After that, we have a storm topology (using a KafkaSpout) which performs request parameters extraction and data enrichment on each message before writing them into hbase. In a development environment (one Vertx instance and storm cluster running on the same host ) we actually handle more than 10K req/sec. Hope this helps! 2014-09-19 8:43 GMT+02:00 Ayush Vatsyayan <ayushv...@gmail.com>: > can anyone provide any leads or insight into it? > > I also looked into the DRPC but, it's deprecated for the native storm. > While in trident it's a bit complex and I cannot find anything that > describes the indepth of what all trident is providing. > > On Tue, Sep 16, 2014 at 12:43 PM, Ayush Vatsyayan <ayushv...@gmail.com> > wrote: > >> We are trying to build a webservices application that can support *10k >> TPS*. I'm trying to do some POC's on strom, but I'm a bit concerned if >> using storm is the right fit here. Here is the scenario: >> >> Client will send a webservice request, which we will receive it (using >> apache CXF) and push it into JMS (probably kafka or RabbitMQ). From JMS >> storm spout will receive it and sent it to the bolt. In bolt we will be >> performing the validation that involves db calls, and once done we will >> persist the data in no-sql db. >> >> I understand the advantages of using storm, but my concern is that we are >> not performing some complex bolt chaining and might be using one or two >> bolts. I'm confused whether storm fits well in this case? >> >> P.S. we are planning to deploy webservices on the application server in >> cluster setup to support 10k TPS. Not sure if cluster setup is good >> approach, but I'll look into it later. >> > > -- Florian HUSSONNOIS Tel +33 6 26 92 82 23
