I have been developing Kafka Search tool, When Iggy start to support Kafka Gateway, I will check whether Iggy is compatible on my tool and I’d like to support Iggy also on it
Local is almost free no tax, but disk belong to user. we save this and prevent running out of storage. I’m also making local-first tool, mine is for Kafka indexing, I found that cleanup and balancing storage are very…
I like this local-first concept. you have already good desktop resource.
Just leave a comment about experience like this, as I pass by. during developing Kafka search tool, it have to support many kind of decode formats ( such as Avro + schemaRegistry, protobuf, ConnectJson(json with…
In my service, I have used one of distributed DB, vitess from beginning. The problem was spending too many time for every time make table and shard key design to avoid placing a heavy load for DB with join, broadcast…
I have been developing Kafka Search tool, When Iggy start to support Kafka Gateway, I will check whether Iggy is compatible on my tool and I’d like to support Iggy also on it
Local is almost free no tax, but disk belong to user. we save this and prevent running out of storage. I’m also making local-first tool, mine is for Kafka indexing, I found that cleanup and balancing storage are very…
I like this local-first concept. you have already good desktop resource.
Just leave a comment about experience like this, as I pass by. during developing Kafka search tool, it have to support many kind of decode formats ( such as Avro + schemaRegistry, protobuf, ConnectJson(json with…
In my service, I have used one of distributed DB, vitess from beginning. The problem was spending too many time for every time make table and shard key design to avoid placing a heavy load for DB with join, broadcast…