
The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights:
1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems.
2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure.
3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems.
4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most.
6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own
7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour
8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades
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Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.
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IBM Cloud Messages for RabbitMQ
IBM® Messages for RabbitMQ on IBM Cloud® serves as a versatile broker that accommodates various messaging protocols, enabling users to efficiently route, track, and queue messages with tailored persistence levels, delivery configurations, and publish confirmations. With the integration of infrastructure-as-code tools like IBM Cloud Schematics utilizing Terraform and Red Hat® Ansible®, users can achieve global scalability without incurring additional costs. IBM® Key Protect allows customers to use their own encryption keys, ensuring enhanced security. Each deployment features support for private networking, in-database auditing, and various other functionalities. The Messages for RabbitMQ service enables independent scaling of both disk space and RAM to meet specific needs, allowing for seamless growth that is just an API call away. It is fully compatible with RabbitMQ APIs, data formats, and client applications, making it an ideal drop-in replacement for existing RabbitMQ setups. The standard setup incorporates three data members configured for optimal high availability, and deployments are strategically distributed across multiple availability zones to enhance reliability and performance. This comprehensive solution ensures that businesses can effectively manage their messaging needs while maintaining flexibility and security.
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Yandex Message Queue
Depending on the volume of requests per second (RPS), you can opt for standard or FIFO (first in, first out) queues. Familiar tools are available for engaging with Amazon SQS, including the HTTP API, CLI, and various programming language libraries. To enhance performance, Message Queue utilizes high-speed NVMe-enabled solid-state drives for message storage. Additionally, messages are duplicated across various geographically distributed availability zones, which guarantees reliable storage and minimizes latency, complete with write confirmations. The integration of Message Queue with cloud functions allows a trigger to activate a function that processes messages from the queue. You can create a queue to monitor statistics such as message count and call duration. Consumers have the capability to read messages from a standard queue in a random sequence. Although standard queues ensure that each message is delivered at least once, there are rare instances where a message may be received twice. For optimal throughput, it is advisable to use standard queues, making them an ideal choice for high-demand scenarios. Furthermore, the flexibility of these queues allows for efficient scaling as your application's needs evolve.
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