Frequently asked questions

Our middleware platform processes, routes, and transforms JSON messages between services efficiently. It ensures reliable delivery, supports retries, logging, monitoring, and makes scaling your workflows straightforward.

Our middleware platform processes, routes, and transforms JSON messages between services efficiently. It ensures reliable delivery, supports retries, logging, monitoring, and makes scaling your workflows straightforward.

Failed messages are automatically retried based on configurable rules. If data is incomplete or processing fails, the message is queued for later processing without losing data integrity.

Use the built-in dashboards and logs to track messages in real-time. You can view delivery status, retry counts, and processing latency for each workflow.

Absolutely. Our middleware exposes APIs and supports standard messaging protocols, making it simple to connect with existing services, event buses, or databases without rewriting code.

Yes, it is designed to handle high volumes of messages and can scale horizontally to support hundreds of thousands of messages per minute.

All messages are encrypted using TLS during transit. You can also configure additional security layers like message signing or IP whitelisting for enhanced protection.

JSON is the primary supported format, but the platform can be extended to handle XML, CSV, or custom message formats through transformation modules.

Every message passing through the platform is logged with timestamps, routing information, and status. Monitoring dashboards can be integrated to visualize real-time processing, errors, and throughput.

Our middleware solution can be deployed either on-premises or in the cloud. We work with you to choose the deployment environment that best suits your infrastructure and operational needs.

Our engineers are responsible for deploying the solution to your chosen environment. This ensures proper configuration, stability, and seamless integration with your existing systems.

The solution runs in containers by default, allowing for consistent deployments across environments. If containers are not an option, we can agree on alternative deployment strategies tailored to your infrastructure.

Our middleware platform is designed to scale horizontally. Additional processing nodes can be added to handle higher message volumes without affecting performance or reliability.

When deployed in cloud environments, the system can take advantage of auto-scaling capabilities, automatically adding resources when demand spikes to maintain optimal performance.

The platform includes monitoring tools for throughput, latency, and resource usage. Based on these metrics, engineers can tune processing pipelines and allocate resources to maintain high performance.

The system distributes workloads across nodes, so if one node is overloaded, traffic is balanced to other nodes. Combined with retries and buffering, this ensures continuous processing without data loss.