Apache Kafka Scalability Issues

Michael Silvi
Senior Software Engineering Consultant at a tech services company with 51-200 employees
We have not yet had scalability issues! View full review »
Sean Hickey
Solutions Architect at a consultancy with 1,001-5,000 employees
We did not have any issues with scalability. View full review »
Kevin Quon
Technical Architect at a tech vendor with 51-200 employees
Kafka is designed to be very easily scalable so I did not have any trouble here. View full review »
FounderC32bc
Founder, CEO at a tech vendor with 1-10 employees
Ah, scalability!!! We need to set up multiple servers again for handling the load, which makes Kafka not scalable, unless you subscribe to cloud services. View full review »
HeadOfEn9a94
Head of Engineering
We did not encounter any issues with scalability. View full review »
Ivan Dyachkov
Team Lead at a financial services firm with 1,001-5,000 employees
We have not had any scalability issues. View full review »
JavaDeve0c6d
Java Developer at a media company with 1,001-5,000 employees
We have not had any scalability issues. The product is horizontally scalable, so adding extra hardware is all that is needed. View full review »
kafkakid
Lead Engineer at a retailer with 1,001-5,000 employees
We have clustered environments and we haven’t seen any scalability issues. We can provision a new node in as little as 45 minutes. View full review »
VINOD K KUMARAN
Technical Lead/Project Manager(Consulting Apple Inc) at a tech services company with 1,001-5,000 employees
We have not had any scalability issues. View full review »
Chandra Keerthy
Principal Software Architect at a tech services company with 11-50 employees
We have to balance the nodes when topics partition across cluster nodes. As it assumes they are of equal sizes, sometimes some nodes may not be allocated similar resources. Reassignment moves all the partitions of specified topics which may be an issue when not planned for. View full review »
Dori Waldman
Big Data Lead at a marketing services firm with 51-200 employees
We have not encountered any scalability issues yet. We are growing and currently, we manage 1M events per second in Kafka. View full review »
SeniorJa44a7
Senior Java Consultant at a tech services company with 501-1,000 employees
We have had no issues with scalability. View full review »
Piyush Ranjan
SDET II at a tech services company with 5,001-10,000 employees
Kafka is a highly scalable product. We have not faced any scalability issues so far. View full review »
Mehul Jani
Deputy General Manager, DevOps Manager at a comms service provider
No issues with scalability. View full review »
Enterpri157e
Enterprise Architect at a logistics company with 1,001-5,000 employees
We have not encountered any scalability issues. View full review »
Sendil S
Java Architect at a tech vendor with 51-200 employees
RESTful API implementation actually uses the Kafka Broker to publish the messages but I am not able to find it becoming scalable. Partially, the reason might be there is no load balancer for the RESTful API web server. View full review »

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