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.
