Automated cluster management
Automatically deploy, configure, and monitor Apache Kafka clusters through a visual management interface.
A program supporting startups with Cloud and AI Factory services at HITECHCLOUD
HiTechCloud Queue Service
Real-time data queuing on Apache Kafka
Send, receive and process data quickly and without interruption for microservices, big data, AI and logging systems.
Data always in motion
A robust communications platform, easy to integrate and scale
HiTechCloud Queue Service is a real-time data queuing service built on Apache Kafka. Data moves continuously between components without waiting, keeping the system flexible and responsive even under heavy load.
Running on HiTechCloud's Cloud infrastructure, the service provides a visual monitoring interface and is ready to connect to Kubernetes, Database, CI/CD and the other platforms in the HiTechCloud ecosystem.
Flexible scaling
Increase or decrease the number of brokers with actual load, without changing the application architecture.
Publish/Subscribe mechanism
Lets multiple systems publish and consume events independently, streamlining communication between microservices.
Consumer group support
Deliver data to multiple consumer groups simultaneously, track progress and limit duplicate processing.
Redundancy and fault tolerance
A leader-follower mechanism protects data when a broker fails and keeps the application available.
Data encryption
Data is encrypted in transit and at rest, combined with authentication and access control.
Deployment automation
HiTechCloud manages the infrastructure, configuration, and cluster operations so your team can focus on the application.
Optimize cost and performance
Choose the number of brokers you need and scale in a controlled way, with no upfront investment in Kafka infrastructure.
Robust security
User authentication, authorization, encryption, and network protection layers reduce the risk of unauthorized access.
Data integrity
Backup, replication and recovery mechanisms help protect data during incidents.
Lower system latency
Parallel processing and continuous event streaming let distributed components respond faster.
Easy integration
Ready to connect with Kubernetes, databases, CI/CD, monitoring and HiTechCloud's other cloud services.
| Plan | Price/month | Brokers | CPU | RAM | SSD | Bandwidth | Actions |
|---|---|---|---|---|---|---|---|
| Basic | 4,500,000 VND | 3 | 2 vCPU | 8 GB | 20 GB | 300 Mbps | |
| Standard | 14,000,000 VND | 5 | 4 vCPU | 16 GB | 100 GB | 300 Mbps | |
| Advanced | 36,500,000 VND | 7 | 8 vCPU | 32 GB | 200 GB | 300 Mbps |
| Service plans | Brokers | CPU | RAM | SSD | Bandwidth | Maintenance fee |
|---|---|---|---|---|---|---|
| Basic | 3 | 2 vCPU | 8 GB | 20 GB | 300 Mbps | 4,500,000 VND |
| Standard | 5 | 4 vCPU | 16 GB | 100 GB | 300 Mbps | 14,000,000 VND |
| Advanced | 7 | 8 vCPU | 32 GB | 200 GB | 300 Mbps | 36,500,000 VND |
Live-streaming platform
Move video, audio, images and metadata between services at low latency.
E-commerce
Keep orders, inventory and payments in sync through flash sales with sudden traffic spikes.
Big data systems
Collect events from IoT, logs and other data sources for real-time analysis.
Centralized log management
Continuously captures and streams logs to track access, data changes, and user activity.
Which Kafka versions does HiTechCloud Queue Service support?
The service currently standardizes on Apache Kafka 3.8. Other versions such as 3.5 and 3.3 are assessed against the roadmap and specific compatibility requirements.
Can the cluster be accessed from the internet?
By default the cluster is provisioned over a private connection to reduce the attack surface. HiTechCloud will advise on the connectivity model that suits each system.
Can additional resources be purchased beyond the plan?
The service is currently offered as packaged plans. Requirements to scale brokers or resources are assessed by our specialists, who propose a suitable approach.
Does the service provide broker redundancy?
Yes. The cluster uses a leader-follower mechanism and replication to stay available when a broker fails.
What is the default data retention period?
The default retention period is 7 days. Other retention requirements are configured according to policy and the capacity of the deployment plan.
How are data and users protected?
The service provides authentication, authorization, data encryption, private connectivity and infrastructure protection layers against unauthorized access and DDoS attacks.
Does the business have to manage the Kafka cluster itself?
No. HiTechCloud manages cluster deployment, configuration, monitoring and scaling; your team focuses on producers, consumers and business logic.
Architecture consulting
Request a consultationBuild a data pipeline that fits your workload
HiTechCloud will review your producers, consumers, throughput, retention and redundancy requirements to recommend a suitable configuration.
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