Fully Managed Apache Kafka Services
Scale real-time data streaming effortlessly. Let our Kafka-certified experts handle clusters, brokers, and compliance—so you can focus on event-driven innovation.
Expert-Led Kafka Management with Zero Infrastructure Hassle
TeraDB Cloud delivers Apache Kafka as a fully managed service, automating cluster orchestration, monitoring, and security while integrating seamlessly with modern data stacks (ClickHouse, RediSearch, ElasticSearch).
Kafka-Certified Engineers
Optimize partitions, ISR settings, and consumer lag for 100k+ events/sec.
Multi-Cloud & Hybrid
Deploy on AWS MSK, Confluent Cloud alternatives, or your own VPC (BYOC).
Global SLAs
99.9% uptime with cross-AZ replication and self-healing brokers.
24/7 SLA-Backed Support
2 hours response for critical issues.
End-to-End Kafka Management Built for Real-Time Demands
1. Cluster Lifecycle Automation
Instant Deployment
Launch production-ready clusters in <5 minutes with pre-tuned configurations (e.g., replication factor=3, unclean leader election=false).
Elastic Scaling
Add brokers or resize VM pools (e.g., AWS i3en for high-throughput) without downtime.
Version Control
Upgrade to Kafka 3.5+ with zero downtime; roll back incompatible versions in 1 click.
2. Performance at Scale
Partition Strategy
Balance partitions across brokers to prevent hotspots; auto-rebalance during scaling.
Throughput Optimization
Tune num.io.threads, log.flush.interval.messages, and socket.request.max.bytes for your workload.
Monitoring
Track consumer lag, under-replicated partitions, and disk I/O via Grafana dashboards.
3. Enterprise-Grade Security
End-to-End Encryption
TLS 1.3 for data in transit; AES-256 for data at rest (AWS EBS, GCP Persistent Disk).
ACLs & RBAC
Fine-grained access controls with Kerberos, OAuth 2.0, or AWS IAM.
Compliance:
SOC 2 Type II, HIPAA, and GDPR-ready configurations.
4. Disaster
Recovery
Cross-Cluster Mirroring
Replicate topics across AWS, GCP, and Azure with MirrorMaker 2.0.
Point-in-Time Restores
Rebuild clusters from snapshots stored in your S3/GCS/Azure Blob.
Multi-Region Failover
Automatic traffic rerouting during region outages.
TeraDB Cloud Managed vs. Self-Hosted Kafka
Feature / Service
- Broker Deployment
- Zookeeper Management Setup
- Network Security
- Partition Rebalancing
- Topic Provisioning
- Monitoring
- Schema Registry
- Geo-Replication
- Support
TeraDB Cloud Managed Kafka
- Fully automated (Ansible/Kubernetes)
- Fully abstracted (KRaft mode)
- VPC peering, TLS 1.3 by default
- Auto-triggered during scaling
- Terraform/API-driven
- Pre-Built Dashboards
- Integrated (Avro/JSON/Protobuf)
- 1-click MirrorMaker 2.0 workflows
- 24/7 with 2 Hours SLA
Self-Hosted Kafka
- Manual VM/container setup
- Manual Zookeeper cluster
- Manual certs, firewall rules
- Manual (Kafka-reassign-partitions)
- CLI/script-based
- DIY with JMX exporters
- Manual Confluent setup
- Custom MirrorMaker pipelines
- Confluent premium contracts
Apache Kafka Experts
Scaling Real-Time Pipelines
- Scaling
- Real-Time
- Pipelines
Certified Kafka Architects
Our team has built pipelines for:
AdTech
100k events/sec clickstream ingestion with <500ms latency.
IoT
100K sensors streaming to Kafka with MQTT-Kafka bridges.
Financial Services
Exactly-once semantics for payment processing.
Open Source Contributions
Custom Kafka Connect Plugins
Salesforce, MongoDB, Snowflake.
KSQL Extensions
Windowed aggregates for real-time fraud detection.
Kraft Mode Optimization
Eliminate Zookeeper dependencies.
Built for Your Ecosystem
Stream Processing
Integrate with Flink, Spark, or Kafka Streams.
Data Lakes
Auto-export topics to S3/Parquet for Snowflake/Power BI.
Observability:
Pre-built dashboards for consumer lag, broker load, and topic throughput.
BYOC (Bring Your Own Cloud)
Private Clusters
Deploy in your AWS VPC with private subnets.
BYOK Encryption
AWS KMS, GCP Cloud HSM, or HashiCorp Vault.
Migrate to Kafka Without Downtime
Legacy System Migration
ActiveMQ/RabbitMQ
Zero-downtime mirroring with dual-writers.
Confluent Cloud
Avoid vendor lock-in; lift-and-shift to TeraDB Cloud open Kafka.
Enterprise Support
Dedicated TAM
Architect reviews for PCI-DSS or HIPAA workloads.
2 Hours SLA
Critical issues prioritized with rapid response (e.g., broker outages).
What Our Clients Are Saying
Hear from industry leaders who have transformed their data infrastructure with TeraDB Cloud.
Michael Johnson
Runs Data Devision
“TeraDB Cloud’s real-time fraud detection system saved us individuals hundreds of thousands of dollars in possible losses. Their handled RediSearch services were essential to our achievement.”
Sophia Chen
VP of Engineering
“With the scalable infrastructure of TeraDB Cloud, we lowered latency for our gaming analytic system from 2 seconds to less than 200ms.”
Steve Preusz
Data Science Lead
“Using TeraDB Cloud, we established a completely managed healthcare data analysis pipeline.” At every point, their committed support staff guaranteed conformity and safety.”
James O’Neil
Senior Data Engineer
“In our pipelines, the smooth integration of Kafka and Elasticsearch has been revolutionary. Experts with TeraDBCloud will make sure there is no downtime throughout migration.”
Frequently Ask Questions
What is Apache Kafka used for?
Kafka is a distributed streaming platform for building real-time data pipelines (e.g., clickstream analytics, IoT telemetry, financial transactions).
Why Kafka over RabbitMQ?
Kafka scales horizontally to 1000s of brokers, retains data for years, and guarantees fault tolerance—ideal for mission-critical workloads.
How do you prevent data loss?
Replication Factor=3 across AZs.
Idempotent producers + acks=all configuration.
Daily snapshots to your cloud storage.
Can I autoscale brokers?
Yes. We auto-add brokers during CPU/disk I/O spikes (e.g., AWS EC2 Auto Scaling Groups).
Do you support Kafka Connect?
Yes. pre-built connectors (Salesforce, PostgreSQL CDC, S3) with auto-scaling workers.
What if a broker fails?
Auto-replace brokers in <5 minutes; reassign partitions via KRaft.
Can I use my own Schema Registry?
Yes. Integrate with Confluent or Apicurio registries.