Managed Apache Kafka Hosting — production-ready from $15 a month
Distributed event streaming platform. Deployed on your own dedicated instance in AWS, Azure, or GCP, kept patched, backed up, and monitored by ManageStacks — standard Apache Kafka, no lock-in.
Kafka on ManageStacks is production-grade Apache Kafka (KRaft-mode, no ZooKeeper) or Redpanda (Kafka-API-compatible C++ rewrite) deployed to your own AWS, Azure, or GCP region — priced flat at $29 per cluster per month regardless of throughput, with a 3-broker cluster, Schema Registry, Kafka Connect for 100+ connectors, and Grafana dashboards for consumer lag and throughput. Materially cheaper than Confluent Cloud or AWS MSK for typical event-streaming workloads.
What does Apache Kafka do, and why do teams deploy it?
Apache Kafka is the industry standard for distributed event streaming. It serves as the backbone for event-driven architectures, real-time analytics pipelines, CDC-based data integration, and microservice communication — handling trillions of events per day at companies from every industry.
Kafka's durable, partitioned log architecture provides fault tolerance, horizontal scalability, and exactly-once semantics for mission-critical data pipelines. The Kafka Connect ecosystem covers 100+ source/sink connectors (Postgres CDC via Debezium, S3, Elasticsearch, MongoDB, Snowflake); Kafka Streams handles lightweight stream processing without a separate cluster.
ManageStacks also supports Redpanda — the Kafka-API-compatible rewrite in C++/Raft that eliminates the JVM overhead and simplifies operations (no separate ZooKeeper or KRaft controller quorum management). Pick Apache Kafka for maximum ecosystem compatibility, Redpanda for lower operational overhead and better single-broker throughput.
Self-hosting Kafka means running 3+ brokers with correct partition-per-topic sizing, retention policy tuning, KRaft controller quorum (post-3.3), Schema Registry, and Kafka Connect workers separately. Add TLS + SASL for authentication and you've built a small streaming platform team. ManageStacks handles it.
- 3-broker Apache Kafka cluster (KRaft mode, no ZooKeeper) or Redpanda
- Durable distributed log with configurable per-topic retention
- Horizontal scaling via topic partitioning + broker addition
- Exactly-once delivery semantics for mission-critical pipelines
- Kafka Connect deployed alongside for source/sink connectors (Debezium, S3, ES)
- Schema Registry (Confluent-compatible) for Avro/Protobuf/JSON schema governance
Distributed event streaming platform
What does managed Apache Kafka hosting cost?
Flat per-app pricing, in your chosen AWS, Azure, or GCP region. No per-user pricing — a busy deployment costs the same as a quiet one.
Starter
Staging and internal tools. Dedicated instance, TLS, daily backups, managed upgrades.
Standard
Production workloads. Adds monitoring, staging environment, region choice, priority support.
Business
High-traffic and compliance workloads. Adds a high-availability replica and same-day support.
24×7 SRE retainer
Round-the-clock on-call across every hosted application, for teams that need a pager answered at 3am.
Self-hosting Apache Kafka vs managed — what does it really cost?
The software is free. The engineer-hours are not.
Running it yourself
- Stand up 3+ VMs, install Kafka + configure KRaft controller quorum manually
- Deploy Schema Registry + Kafka Connect workers separately
- Configure TLS + SASL for auth; wire ACLs by hand
- Test broker addition + partition rebalancing under load
- Build lag monitoring + alerting with Burrow + Prometheus manually
On ManageStacks
- Subscribe through your AWS, Azure, or GCP marketplace
- 3-broker Kafka (or Redpanda) cluster comes up with Schema Registry, Connect, TLS, SASL
- Grafana dashboards ship for consumer lag, throughput, ISR, broker health
- Cruise Control rebalancing available on Business+ for automatic partition balance
- Rolling upgrades handled by us; MirrorMaker 2 configured on request for multi-region
Apache Kafka on ManageStacks vs the alternatives
How Kafka on ManageStacks compares to the two dominant vendor-managed Kafka offerings and running Kafka yourself.
| Kafka on ManageStacksUs | Confluent Cloud | AWS MSK | Self-hosted on your VM | |
|---|---|---|---|---|
| Deployment | Managed on your AWS, Azure, or GCP | Vendor-hosted (multi-cloud) | AWS-managed | You provision + operate |
| Data residency | Your cloud region | Vendor region choice | AWS region | Your cloud region |
| Pricing basis | Flat per cluster | Per throughput + storage + connectors | Per broker-hour + storage + I/O | Your compute cost |
| Engine | Apache Kafka or Redpanda | Apache Kafka + Confluent add-ons | Apache Kafka | You choose |
| Open source | Yes (Apache 2.0 / BSL for Redpanda) | Yes (Apache, Confluent-hosted) | Yes (Apache 2.0, AWS-hosted) | Yes (Apache 2.0) |
| Connect + Schema Reg | Included | Included (extensive) | MSK Connect available (extra cost) | You install |
Provisioning, upgrades, backups and monitoring on your team’s plate.
What does running Apache Kafka yourself involve?
ManageStacks deploys Apache Kafka (KRaft-mode) or Redpanda as a 3-broker cluster with Schema Registry, Kafka Connect for connectors, TLS + SASL for auth, and Prometheus + Grafana for consumer lag, ISR, and throughput monitoring. We handle broker addition, partition rebalancing, and rolling version upgrades — your team focuses on producers, consumers, and stream processing.
Apache Kafka key numbers
How long from subscribing to a live instance?
Subscribe
Subscribe to ManageStacks through your AWS, Azure, or GCP marketplace.
Choose engine
Pick Apache Kafka (KRaft-mode) or Redpanda based on ecosystem + operational preference.
Provision
3-broker cluster spins up with Schema Registry, Kafka Connect, TLS, and Grafana monitoring — typically 3-5 minutes.
Produce + consume
Point your producers/consumers at the bootstrap servers. Configure connectors through Kafka Connect UI or REST API for CDC or S3 sink.
When is self-hosting Apache Kafka the right answer instead?
“Managed hosting is not always the correct call.”
Self-host when a platform team already runs the infrastructure and on-call rotation to operate Apache Kafka at genuinely low marginal cost. Self-host when compliance requires an air-gapped or on-premises deployment that no hosted option can satisfy. And self-host when the deployment depends on heavy customisation with a fast internal build-deploy loop, because an internal release process will beat any managed change process.
For everyone else — teams whose engineers have better things to do than shepherd upgrades — managed hosting is cheaper than the hours it replaces.
Which cloud should Apache Kafka run on — AWS, Azure or GCP?
For most workloads, the choice of cloud matters less than proximity: run Apache Kafka in the same cloud and region as the applications and data it talks to, because every request between them adds a round trip. The underlying compute performs equivalently across AWS, Azure, and GCP.
In practice, an existing cloud footprint decides it. All plans support all three clouds, and moving regions later is a scheduled migration, not a rebuild.
Deepest managed-service catalog, default when there's no existing footprint
Best fit for teams already on Microsoft 365 or Entra ID
Strongest for data/analytics-adjacent workloads
Every plan supports AWS, Azure, and GCP — region choice included.
Common questions about Apache Kafka on ManageStacks
Apache Kafka or Redpanda — which should I pick?
Both speak the Kafka protocol; your producers and consumers work unchanged. Pick Apache Kafka for maximum ecosystem compatibility (every tool tests against Apache Kafka first), better multi-region setups (MirrorMaker 2 mature), and vendor-neutrality. Pick Redpanda for lower operational overhead (no JVM, no ZooKeeper/KRaft controller quorum), higher single-broker throughput, and simpler tuning. For net-new deployments Redpanda is often the easier operational choice; for stability alignment with existing tooling, Apache Kafka wins.
How does this compare to Confluent Cloud or AWS MSK?
Confluent Cloud is priced per throughput + storage + connectors; AWS MSK is per broker-hour + storage + I/O. Both grow expensive fast. ManageStacks is flat $29 per cluster at standard tier. For workloads under 10 MB/s sustained ingest, self-hosted on ManageStacks is materially cheaper. Confluent wins on the enterprise Connect ecosystem, Stream Governance, and ksqlDB; MSK for tight AWS-VPC integration and IAM auth. We handle the same platform ops, at flat price, in your account.
How is broker management and scaling handled?
3-broker cluster standard. Add brokers through the dashboard; ManageStacks handles partition reassignment across the new topology. Cruise Control-style rebalancing on Business+ prevents partition-hotspots automatically.
Does ManageStacks provide Kafka Connect?
Yes. Kafka Connect workers deploy alongside the cluster. 100+ connectors available (Debezium CDC for Postgres/MySQL/MongoDB, S3, JDBC, Elasticsearch, HTTP, Snowflake). Distributed mode by default for HA connector deployments.
Is Schema Registry included?
Yes. Confluent-compatible Schema Registry deploys alongside. Avro, Protobuf, and JSON schemas supported with schema compatibility checks (backward, forward, full). Prevents downstream consumer breakage from producer schema changes.
Does ManageStacks handle Kafka version upgrades?
Yes. Apache Kafka LTS versions tracked; rolling upgrades across brokers keep the cluster available throughout. KRaft mode migration handled for clusters still on ZooKeeper.
How is consumer-lag monitoring handled?
Prometheus-exporter metrics + Burrow (Kafka lag monitor) + Grafana dashboards. Alert on consumer group lag exceeding thresholds, ISR shrinkage, or broker offline. Business+ plans include Cruise Control for automatic rebalancing.
What if I want to move to Confluent or MSK later?
MirrorMaker 2 replicates topics to any Kafka-compatible cluster. Zero-downtime migration is straightforward. Kafka's API compatibility across Apache/Confluent/MSK/Redpanda means your producers and consumers don't change. Migration off ManageStacks is a supported operation.
Run Apache Kafka without carrying the pager
Subscribe through your AWS, Azure, or GCP marketplace. We handle provisioning, SSL, monitoring, backups, updates, and security. From $15/mo.