VM Instance
Apache Kafka data streaming is used by over 80% of Fortune 100 companies including Goldman Sachs, Target, and Intuit for mission critical applications. Kafka is built with a client server architecture that handles event producers, processors, connectors, and consumers for scaling without downtime. A high throughput capability manages large data flux in real time. It publishes and subscribes to event streams while continuously importing and exporting data from other systems.
Kafka’s reliability is ensured by its distributed structure. Each data partition is replicated for durability and reliability. Clusters have fault tolerance against database and server failure. The Cluster Manager for Apache Kafka (CMAK) monitors clusters and service performance.
Red Hat Enterprise Linux (RHEL) 8.4 is used by more than 90% of Fortune Global 500 companies. RHEL peaks Linux distros with 99.999% uptime, military-grade security, and support for your business-critical workload.
Red Hat is the top Linux hybrid cloud platform because it leads innovative edge computing. It extends the hybrid cloud for enterprises, operations, and providers to the datasource and end user. It simplifies image creation while reducing update sizes and unnecessary downtime to deploy RHEL on the edge of disconnected bare metal.
Apache Kafka with CMAK on Red Hat Enterprise 8.4 streams generate real time information for transactions, shipping, logistics, and sensor data from apps on IoT (Internet of Things) devices and databases. Information is continuously collected, processed, stored, and analyzed, but users can retrospectively manipulate data. Apache deploys microservices and distributes apps to scale streams in parallel. Its scalable client server architecture features a pull-based design with batch processing to prevent user-end overload. A scalable replication election algorithm decouples producers and consumers to transfer and store data. Event streams redirect to multiple locations as desired. Apache streams persist through network and hardware outages.
Cluster Manager for Apache Kafka monitors and controls how multiple clusters function. Partitioning and replicating stream data into distributed clusters guarantees minimal latency, high fault tolerance, and zero message loss for on premise and cloud deployments. CMAK enables users to create partition assignments and reassignments. Kafka Connect adds connectors to event sources like PostGres, JMS, Elasticsearch, and Amazon Web Services (AWS) which are managed by REST API. Custom connectors are also supported. Apache Kafka supports a multitude of common client libraries such as C, C++ Go, Java, Scala, .NET, and Python. Security uses SSL and SASL mechanisms for traffic encryption and authentication.
Development teams achieve faster time to value when using Red Hat Linux. The latest tools, analytics, programming languages, and enhanced container capabilities streamline application and infrastructure development, deployment, and management. Build and manage your data center, cloud, the Edge, and more, all in one distro. RHEL creates a more efficient, scalable, flexible, and cost-efficient enterprise across the hybrid cloud.
Ntegral certified images are always up-to-date, secure, and built to work right out of the box.
Ntegral packages applications following industry standards, and continuously monitors all components and libraries for vulnerabilities and application updates. When any security threat or update is identified, Ntegral automatically repackages the applications and pushes the latest versions to the cloud marketplaces.