In the interest of being iterative in our value delivery to you, we released the Managed Kafka integration with App Platform as Beta. But we are not going to stop there! We’ll be looking at ways to secure Kafka
Apache Kafka became the de facto standard for microservice architectures. It goes far beyond reliable and scalable high-volume messaging. The distributed storage allows high availability and real decoupling between the independent microservices. In addition, you can leverage Kafka Connect for in...
Configure Kafka producers with appropriate acknowledgments to ensure message durability and reliability. Testing and Deployment Write unit tests and integration tests for each microservice to validate functionality and Kafka integration. Deploy microservices and Kafka clusters using containerization (e.g., Do...
All the microservices and reference applications are built with industry standards like Docker, Kubernetes, Spark, Kafka, Redis, ELK stack, and others. In addition, they all have well-defined REST APIs to allow seamless integration with or within your existing applications and solutions. Get...
microservice needs to be configured using theConfigService(from the@nestjs/configpackage), but the injection context is only available after the microservice instance is created,AsyncMicroserviceOptionsoffers a solution. This approach allows for dynamic configuration, ensuring smooth integration with the...
Apache Kafka with Spring Boot: Architectural Patterns - Saga, Choreography, Orchestrator, OutBox, Fan Out, Fan In etc
Whether you process a large volume of transactions, enhance online experiences with faster responsiveness, run large-scale transformations on data, or cut costs with a mainframe integration deployment, Hazelcast Platform is designed for the ultra-performance that today’s banking workloads require. The ...
AI and Machine Learning Integration Integrating AI and machine learning into microservices is becoming more common. This integration enables more intelligent and adaptive applications, from personalized user experiences to automated decision-making processes. As AI and ML technologies advance, their incorporat...
development.With these tools, integration tasks that previously took weeks can now be completed in minutes, making it easier and faster to connect microservices with each other. By leveraging advanced iPaaS solutions, organizations can save on development costs and accelerate the integration of their ...
Are microservices a technology? Microservices themselves are not a technology. Microservices are a software architecture that involves splitting large applications into small pieces that communicate with each other. Then, these individual services can be deployed, built, and maintained by smaller groups of...