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Apache Pulsar

Pulsar — distributed pub/sub messaging with streaming and queuing.

QueueComplex

Stack Components

ServerPulsar 3.x
StorageBookKeeper

Why

Separate compute/storage, geo-replication, multi-tenancy, tiered storage. Kafka processes 7 trillion+ messages/day at LinkedIn.

Redis Streams and BullMQ offer simpler queueing for Node.js apps, handling 100k+ jobs/sec on a single instance.

When

Use for large-scale messaging. Avoid for simple pub/sub.

How

1. Deploy Pulsar cluster 2. Create tenant/namespace/topic 3. Produce/consume messages 4. Configure policies

Example

const producer = await client.createProducer({ topic: 'my-topic' }); await producer.send({ data: Buffer.from('hello') });

Common Problems

  • ⚠Cluster complexity — use managed Pulsar
  • ⚠BookKeeper tuning — adjust journal settings
  • ⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical

Best Practices

  • ✓Use schema registry for type safety
  • ✓Leverage functions for stream processing
  • ✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit

FAQ

What is Apache Pulsar and what projects is it for?

Pulsar — distributed pub/sub messaging with streaming and queuing. It pairs layered technologies for end-to-end type safety and out-of-the-box deploys, fitting everything from MVPs to production SaaS.

How do I spin up a working demo with Apache Pulsar in 10 minutes?

Two steps: (1) Deploy Pulsar cluster; (2) Create tenant/namespace/topic. Get the local dev server running, then wire one real data source to verify the end-to-end loop.

What is the most common pitfall with Apache Pulsar and how do I avoid it?

The most common pitfall is: Cluster complexity — use managed Pulsar. Avoid it by adding the matching checklist to your PR template and running type-check + lint + unit tests in CI — three gates before merge.

What are the best practices for Apache Pulsar?

Best practices for Apache Pulsar include: Use schema registry for type safety; Leverage functions for stream processing; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Use schema registry for type safety" — should be set up at project init to avoid costly rework later.

When should I NOT choose Apache Pulsar?

Pick something else in three cases: (1) the team has zero experience with the core framework and the deadline is tight (learning-curve risk); (2) it's a pure content/marketing site (Astro is lighter); (3) you need very high throughput (>10k RPS) or strict-consistency microservices (Go/Rust). Apache Pulsar shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.