Create scalable, high-performance applications with modern technologies for event streaming and message queuing.
Build scalable messaging solutions with Kafka, RabbitMQ, and Redis, enabling secure real-time communication, event streaming, and queues.
Build modern systems with high-velocity event streaming and real-time messaging infrastructure that is built to scale and perform. We build distributed streaming platforms with Kafka, datastream pipelines and pubsub architectures allowing producers and consumers to send messages in real time between services and devices.
We develop secure and scalable message brokers that facilitate communication among distributed applications and microservices. We have a queue-based infrastructure that helps applications to process tasks asynchronously, while improving reliability, scalability and performance of the system.
Today’s applications need reliable asynchronous messaging and scalable microservice communication. We build messaging layers to let services communicate with each other without blocking the performance of the system.
Infibliss creates scalable message queue solutions that allow applications, services and distributed systems to communicate seamlessly. We are specialists in Kafka, RabbitMQ, Redis, ActiveMQ and cloud messaging systems for high performance data streaming and event driven architecture environments.
Event streaming with Kafka Data streaming and distributed messaging systems for modern applications Develop solutions for high performance. Enhance real-time data processing, service communication and event-driven architecture for scalable cloud and enterprise environments.
Build fault tolerant messaging broker solutions using RabbitMQ, ActiveMQ and Redis for secure communication and load sharing between applications. Enable asynchronous messaging, message delivery tracking and efficient queue management for mission-critical software systems.
Link distributed applications with elastic message queues, pub/sub systems, and middleware solutions for microservice environments. Simplify Infrastructure, Orchestrate Services Better, Communicate Reliably & Scale Applications.
Messaging Platforms for Responsive Digital Experiences and Cloud Messaging Services WebSocket connections (for real-time notifications) Event notifications, messaging and real-time communication for mobile & web apps.
Task queues Priority queue properties Dead letter queue management Advanced queue management systems Message processing. Improve application performance, load balancing, and reliable message acknowledgement on distributed infrastructure.
Processing Kafka Streams
RabbitMQ message broker
Cloud Messaging and Messaging with Amazon Simple Queue Service (SQS)
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Message queues provide a mechanism for applications to communicate asynchronously, increasing the scalability, reliability and performance of the system.
RabbitMQ is an implementation of message queues and routing . RabbitMQ is based on message delivery . Kafka, by contrast, is designed for large data sets and event-driven streams.
Message Broker ensures the delivery and routing of the messages between the services making communication among microservice safe, efficient and loosely coupled.
Event-driven architecture leverages event messaging to automate the communication between applications.
Dead Letter Queue What is Dead Letter Queue ? A Dead Letter Queue ( DLQ ) is used to hold messages that can not be processed by the consumer and help ensure proper message handling .