Run kafka on kubernetes with ease
Managed Kafka that automates the operational aspects of running brokers on Kubernetes. Launch clusters faster, configure topic defaults with less friction, and spend less time on day-2 operations.
Harness the power of Kafka without the toil
Teams adopt Kafka for durable event streams, decoupled services, and asynchronous workflows. The friction comes from operating the cluster, choosing the right topology, tuning defaults, and managing ongoing changes. Surge automates those operational layers.
Cluster operations overhead
Provision Kafka with production-ready layouts
Topic configuration sprawl
Define topic defaults once and apply them consistently
Day-2 tuning burden
Manage operational tuning from one interfaceFrom Kafka setup to production in three steps
Surge gives teams a faster path to managed Kafka by automating the operational setup and surfacing the controls that matter.
Choose your cluster layout
Start with a combined layout for testing. Use independent controller and broker pools for production-oriented operation and scaling.
Set operational defaults
Configure topic defaults like partitions, replication factor, compression, and cleanup policy before teams begin creating streams.
Deploy and monitor
Launch the cluster, create topics in the console, and tune leader or process settings without stitching together separate operational tools.
Operations automated where they usually get messy
Surge keeps the power of Apache Kafka while reducing the operational work around cluster setup, topology decisions, topic defaults, and ongoing tuning.
KRaft protocol
Kraft supercharges your operations with resource savings, faster failover, and many more benefits.
Flexible node layouts
Choose combined nodes for simpler deployments or split controllers and brokers for production usage.
Topic defaults
Set default partitions, replication factor, min in-sync replicas, cleanup policy, compression, and more in one place.
Cluster controls
Configure operational settings like auto rebalance, unclean election, and many more without manual config wrangling.
Production sizing controls
Tune CPU, memory, disk, and node counts to fit your throughput and durability requirements.
Topic management
Create, inspect, and update managed topics directly from the product interface instead of relying on disconnected workflows.
Solve domain problems with versatile approaches
Event-driven communication
Use Kafka as the backbone for service-to-service events, domain event propagation, and asynchronous workflows while reducing operational overhead.
- ✓Durable event streams for decoupled systems
- ✓Topic defaults for consistent service onboarding
- ✓Easier operational management as services grow
Async jobs and queue-backed workloads
Run task pipelines, notifications, ingestion jobs, and processing workflows on Kafka without hand-building the cluster operations around them.
- ✓Better separation between apps and workers
- ✓Configurable replication and durability settings
- ✓Operational tuning exposed in the platform
Real-time ingestion and event pipelines
Capture high-volume application events, telemetry, or business data in streams that downstream consumers can process independently.
- ✓Partitioned topics for scalable consumers
- ✓Centralized defaults for stream consistency
- ✓Modern Kafka foundation with KRaft
Pay for compute, not extra overheads
Surge pricing is based on the broker resources you provision. Size your cluster for the workload you need, see cost estimates while configuring, and let the platform automate more of the operational side.
Dedicated compute.
Dedicated memory.
Simple linear scaling.
Resource-based pricing
Pay for CPU, memory, and storage based on the Kafka cluster you run. No opaque packaging or surprise billing tiers.
Up-front cost visibility
Configure controller and broker pools with visibility into what you are provisioning before deployment.
Less ops work, lower TCO
Save engineering time and DevOps cost by reducing cluster setup, configuration drift, and routine operational work.
Production-ready scalable specs
Engine
Compute & storage
Topology
Operational controls
Greatly simplified operations
Launch Kafka without management overheads
Use Surge to automate the operational aspects of Kafka and move faster on event-driven systems.