uttpal

4 ms·

1.
by uttpal 7y ago
Checkout Clockwork for cloud provider independent distributed event scheduler https://cynic.dev/posts/clockwork-scalable-job-scheduler/
2.
by uttpal 7y ago
Hi, i am the creater, let me know if there is any questions or feedback.
3.
Show HN: Clockwork – Distributed Event Scheduler(github.com)
5 points by uttpal 7y ago|1 comments
4.
by uttpal 7y ago
Adding more partitions will definitely have impact on latency and availability, and you will always have a trade-off between throughput and latency however, Clockwork will work fine for most of use cases as kafka supports upto 200k partitio
5.
by uttpal 7y ago
Thanks and I will definitely add that to article, I will just point to major shortcomings here of quartz (the go to job scheduler) scaling beyond one node is difficult because * as it uses db locks to adding more nodes does not scale linear
6.
by uttpal 7y ago
Clockwork-Scheduler is a general-purpose distributed job scheduler. It offers you horizontally scalable scheduler with at least once delivery guarantees. It is fault-tolerant, persistent, easy to deploy and maintain. Thanks for checking, wo
7.
Show HN: Clockwork- Distributed, Scalable Job Scheduler(cynic.dev)
14 points by uttpal 7y ago|6 comments
8.
Data Structures Powering Database Series: Hash Index in Key-Value Stores(scalablethings.com)
2 points by uttpal 8y ago|0 comments
9.
Distributed Systems: Brief(Humorous) Introduction(medium.com)
3 points by uttpal 8y ago|0 comments
10.
Distributed Systems: Brief Introduction(scalablethings.com)
5 points by uttpal 8y ago|0 comments
11.
by uttpal 10y ago
I am building open-source challenge platform where developers can find open-source projects according to their skill level, favorite language, and framework, domain. Collecting data from challenges completed we will also build a profile wit
12.
Node based YouTube to gif converter(github.com)
1 points by uttpal 10y ago|0 comments