Ant Media Server
Ant Media provides ready-to-use, highly scalable real-time video streaming solutions for live video streaming needs. Based on customer requirements and preferences, it enables a live video streaming solution to be deployed easily and quickly on-premises or on public cloud networks such as AWS, Azure, GCP and Oracle Cloud.
Ant Media’s well-known product, called Ant Media Server, is a video streaming platform and technology enabler, providing highly scalable, Ultra-Low Latency (WebRTC) and Low Latency (CMAF & HLS) video streaming solutions supported with operational management utilities.
Ant Media Server in a cluster mode dynamically scales up and down to enable our customers to serve from tens to millions of viewers in an automated and controlled way.
Ant Media Server provides compatibility to be played in any Web Browser. In addition, SDKs for iOS, Android, and JS are provided freely to enable customers to expand their reach to a broader audience. Thanks to the adaptive bitrate streaming feature that allows any video to be played at any bandwidth on mobile devices.
Ant Media has been serving a growing number of customers in 120+ countries all around the world.
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Kasm Workspaces
Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location.
Kasm is revolutionizing the way businesses deliver digital workspaces. We use our open-source web native container streaming technology to create a modern devops delivery of Desktop as a Service, application streaming, and browser isolation.
Kasm is more than a service. It is a platform that is highly configurable and has a robust API that can be customized to your needs at any scale. Workspaces can be deployed wherever the work is. It can be deployed on-premise (including Air-Gapped Networks), in the cloud (Public and Private), or in a hybrid.
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Apache Kafka
Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.
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Amazon EventBridge
Amazon EventBridge serves as a serverless event bus that simplifies the integration of applications by utilizing data from your own systems, various Software-as-a-Service (SaaS) offerings, and AWS services. It provides a continuous flow of real-time data from event sources like Zendesk, Datadog, and PagerDuty, efficiently directing that information to targets such as AWS Lambda. By establishing routing rules, you can dictate the destination of your data, enabling the creation of application architectures that respond instantaneously to all incoming data sources. EventBridge facilitates the development of event-driven applications by managing essential aspects like event ingestion, delivery, security, authorization, and error handling on your behalf. As your applications grow increasingly interconnected through events, you may find that greater effort is required to discover and comprehend the structure of these events in order to effectively code responses to them. This can enhance the overall efficiency and responsiveness of your application ecosystem.
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