NOTE: docker setup from here
graph LR
A[Postgres] --> B[Sequin]
B --> C[Kafka]
just setupjust up # run docker compose up
# go to sequin ui & validate sink config
just run # insert data
just down # run docker compose down- Sequin UI: http://localhost:7376
- Grafana: http://localhost:3000
- Kafka UI: http://localhost:8088
# install cli
curl -sf https://raw.githubusercontent.com/sequinstream/sequin/main/cli/installer.sh | sh
# export config
- when you set a BATCH_SIZE - ordering of events in a batch is not guaranteed
- cannot run WITHOUT redis
- multiple tables with high volume using 1 replication slot. how does partitioning help w load
- ordering guarantee
- what happens if i run sequin without redis
- what happens if i run multiple sequin instances (clustering)
- latency in cloud deployment
- good batch size at 1000 inserts/sec
- idempotency key on backfills
- running in k8s
- nice to have
- transforms & filters
- audit logs
- postgres
- own logical db for sequin to store source & sink configs
- redis
- need to track replication
graph LR
A[Postgres-Sequin] <--> B[Sequin]
C[Redis-Sequin] <--> B
E[Postgres-Source] --> B
B --> D[Kafka]