Hi Srini, Welcome to the community. Awesome to hear that LinkedIn decided to embrace Flink, excited to see where this joint path leads us.
On Mon, Jul 19, 2021 at 11:02 AM Timo Walther <twal...@apache.org> wrote: > Hi Srini, > > welcome aboard! Great to see more adoption in the SQL space. Looking > forward to collaboration. > > Regards, > Timo > > On 19.07.21 10:58, Till Rohrmann wrote: > > Hi Srini, > > > > Welcome to the Flink community :-) Great to hear what you are planning to > > do with Flink at LinkedIn. I think sharing this is very motivational for > > the community and also gives context for what you are focusing on. > Looking > > forward to working with you and improving Flink. > > > > Cheers, > > Till > > > > On Fri, Jul 16, 2021 at 8:36 PM Srinivasulu Punuru < > srinipunur...@gmail.com> > > wrote: > > > >> Hi Flink Devs, > >> > >> I am Srini, I work for stream processing team at LinkedIn. LinkedIn is > >> taking a big bet on Apache Flink and migrating all the existing > streaming > >> SQL apps to Flink. You might have seen mails from some of our team > members > >> past few months. Thanks a lot for your support! > >> > >> I just wanted to Say Hi to everyone before I take up some of the starter > >> Jiras and start contributing. > >> > >> Thanks Again! Looking forward to collaboration :) > >> > >> Here are some of the quick notes about our Flink scenarios. > >> > >> 1. We will be using Flink SQL just for stream processing > applications. > >> 2. Most of our current SQL apps are stateless, But stateful SQL > >> capabilities is one of the reasons we are migrating to Flink. SQL > state > >> management is an area of interest. > >> 3. We also have customers asking for batch and streaming > convergence, So > >> SQL based batch <-> streaming convergence or engine portability of > SQL > >> apps > >> is an area of interest. > >> 4. We are initially on prem. But LinkedIn as a whole is betting on > >> Cloud. So taking advantage some of the cloud capabilities like > Storage > >> compute disaggregation, Elastic compute (for auto-scaling) for Flink > >> would > >> be interesting. > >> 5. We also provide a managed streaming SQL service i.e. We manage > the > >> SQL jobs for our developers. So reliability, operability and quick > >> recovery > >> is critical as well :). > >> > >> Thanks, > >> Srini. > >> > > > >
