Apache Pulsar Consulting & Services for Enterprises

Our Pulsar consulting covers broker and BookKeeper architecture design, multi-tenancy and namespace design, performance tuning across both layers, geo-replication architecture, Pulsar Functions development, and migration from Kafka or RabbitMQ. Every engagement is staffed by a named senior engineer.

The core difference is Pulsar's separation of the broker layer (serving) from the BookKeeper layer (storage). Brokers are stateless and can be scaled or replaced independently of the data they serve, which changes how you think about capacity planning, failure recovery, and multi-tenancy compared to Kafka's tightly coupled broker-and-log model.

The migration itself — mapping topics and consumer groups to Pulsar's model — is usually the easier part. The harder part is operational: your team needs to learn to run and monitor the BookKeeper storage layer, which has no direct Kafka equivalent. We're upfront about this learning curve rather than downplaying it, and Kafka-on-Pulsar (KoP) can ease the client-side transition.

Pulsar's tenant and namespace model is built for exactly this — isolating resource quotas, access policies, and even storage retention per internal team on shared cluster infrastructure. We design namespace hierarchies and quota policies so one noisy tenant can't degrade another's topics.

Pulsar has geo-replication built into the broker layer as a native feature, replicating at the topic level across clusters with configurable replication policies, rather than requiring a separate replication tool bolted on afterward. We design regional failure domains and replication topology to match your latency and durability requirements.

We start by checking whether the problem is in the broker layer (dispatch, consumer connections) or the BookKeeper layer (ledger under-replication, disk pressure on bookies), since the two layers fail differently and need different remediation. We stabilize first, then document the root cause.