Kafka is dead, long live Kafka
warpstream.com
Kafka is dead, long live Kafka
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Re: Kafka is dead, long live Kafka
#2If you have any questions about WarpStream, my co-founder (richieartoul) and I will be here to answer them.
Re: Kafka is dead, long live Kafka
#3I'm Ryan Worl, co-founder and CTO of WarpStream. We're super excited to announce our Developer Preview of our Kafka protocol compatible streaming system built directly on top of S3 with no stateful disks/nodes to run, no rebalancing data, no ZooKeeper, and 5-10x cheaper because of no cross-AZ bandwidth charges. If you have any questions about WarpStream, my co-founder (richieartoul) and I will be here to answer them.
One reason I never built it is because it felt paradoxical that users might want a scaled down Kafka rather than using SQLite directly if the scale didn't matter. But you may find out that people enjoy the semantics of the Kafka protocol or are already using Kafka and have learned they don't have the scale they thought they did to warrant the complexity. Best of luck!
Re: Kafka is dead, long live Kafka
#4I'm Ryan Worl, co-founder and CTO of WarpStream. We're super excited to announce our Developer Preview of our Kafka protocol compatible streaming system built directly on top of S3 with no stateful disks/nodes to run, no rebalancing data, no ZooKeeper, and 5-10x cheaper because of no cross-AZ bandwidth charges. If you have any questions about WarpStream, my co-founder (richieartoul) and I will be here to answer them.
Re: Kafka is dead, long live Kafka
#5I'm Ryan Worl, co-founder and CTO of WarpStream. We're super excited to announce our Developer Preview of our Kafka protocol compatible streaming system built directly on top of S3 with no stateful disks/nodes to run, no rebalancing data, no ZooKeeper, and 5-10x cheaper because of no cross-AZ bandwidth charges. If you have any questions about WarpStream, my co-founder (richieartoul) and I will be here to answer them.
Re: Kafka is dead, long live Kafka
#61. aren't you going to get murderous S3 API call bills if you're pushing each message directly into S3? How're you buffering / queuing / coalescing messages durably without local storage?
2. what's the problem with "just" running a kafka cluster in each AZ and not replicating data between AZs until it's time to ETL the data to wherever? AZ1 clients push to AZ1 clusters; AZ2 clients push to AZ2 clusters, etc.
3. What's done to preserve order-of-operation within a kafka partition?
Re: Kafka is dead, long live Kafka
#7I'm Ryan Worl, co-founder and CTO of WarpStream. We're super excited to announce our Developer Preview of our Kafka protocol compatible streaming system built directly on top of S3 with no stateful disks/nodes to run, no rebalancing data, no ZooKeeper, and 5-10x cheaper because of no cross-AZ bandwidth charges. If you have any questions about WarpStream, my co-founder (richieartoul) and I will be here to answer them.
How do you replace ZooKeeper?
Re: Kafka is dead, long live Kafka
#8I'm Ryan Worl, co-founder and CTO of WarpStream. We're super excited to announce our Developer Preview of our Kafka protocol compatible streaming system built directly on top of S3 with no stateful disks/nodes to run, no rebalancing data, no ZooKeeper, and 5-10x cheaper because of no cross-AZ bandwidth charges. If you have any questions about WarpStream, my co-founder (richieartoul) and I will be here to answer them.
Do you provide any ordering guarantees like Kafka does at the partition level?
Re: Kafka is dead, long live Kafka
#9Couple questions: 1. aren't you going to get murderous S3 API call bills if you're pushing each message directly into S3? How're you buffering / queuing / coalescing messages durably without local storage? 2. what's the problem with "just" running a kafka cluster in each AZ and not replicating data between AZs until it's time to ETL the data to wherever? AZ1 clients push to AZ1 clusters; AZ2 clients push to AZ2 clust…
Re: Kafka is dead, long live Kafka
#10Couple questions: 1. aren't you going to get murderous S3 API call bills if you're pushing each message directly into S3? How're you buffering / queuing / coalescing messages durably without local storage? 2. what's the problem with "just" running a kafka cluster in each AZ and not replicating data between AZs until it's time to ETL the data to wherever? AZ1 clients push to AZ1 clusters; AZ2 clients push to AZ2 clust…