
Elecard Boro is a professional software solution designed to monitor video stream health and track QoS/QoE parameters across distributed networks. By providing centralized access to statistics and automated reporting, Boro enables telecom professioals to build a powerful monitoring ecosystem from scratch or easily scale existing infrastructure to ensure flawless broadcast quality.
How it works:
Boro utilizes distributed software probes to monitor UDP, RTP, HTTP, HLS, DASH, SRT, and RTMP streams. By aggregating multi-point measurements on a centralized server, operators can instantly isolate quality degradation across the entire delivery chain. The platform provides network-wide visibility and real-time alerts for ETSI TR 101 290 errors via Email, SNMP, Webhook, PagerDuty, and Telegram.
Key Features:
• Rapid Deployment & Scalability: Launch a monitoring probe in just 30 minutes. Easily scale your infrastructure by adding new probes to the unified Boro ecosystem on any hardware.
• Proactive Issue Resolution: Monitor over 50 QoS and QoE parameters (including full ETSI TR 101 290 compliance) and use triggers to localize network anomalies before they impact viewers.
• Advanced Diagnostics: Use comprehensive analysis of SCTE-35 ad-insertion cues and PCAP stream recording for in-depth delivery troubleshooting.
• Effortless Integration & Access: Access monitoring data from any device via an intuitive web interface. Seamlessly integrate Boro into your existing workflow using WebHook, SNMP, and ControlAPI.
• Operational Efficiency: Reduce the workload on QA and network engineers through automated regular reporting, advanced visualization dashboards, and smart threshold tuning that eliminates false alarms.
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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 Storm
Apache Storm is a distributed computation system that is both free and open source, designed for real-time data processing. It simplifies the reliable handling of endless data streams, similar to how Hadoop revolutionized batch processing. The platform is user-friendly, compatible with various programming languages, and offers an enjoyable experience for developers. With numerous applications including real-time analytics, online machine learning, continuous computation, distributed RPC, and ETL, Apache Storm proves its versatility. It's remarkably fast, with benchmarks showing it can process over a million tuples per second on a single node. Additionally, it is scalable and fault-tolerant, ensuring that data processing is both reliable and efficient. Setting up and managing Apache Storm is straightforward, and it seamlessly integrates with existing queueing and database technologies. Users can design Apache Storm topologies to consume and process data streams in complex manners, allowing for flexible repartitioning between different stages of computation. For further insights, be sure to explore the detailed tutorial available.
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SAS Analytics for IoT
Utilize a comprehensive, AI-integrated solution to access, organize, select, and transform data from the Internet of Things. SAS Analytics for IoT encompasses the entire analytics life cycle related to IoT, featuring a streamlined and extensible ETL process, a data model focused on sensors, and an advanced analytics framework supported by a premier streaming execution engine that facilitates complex multi-phase analytics. Powered by SAS® Viya®, this solution operates efficiently within a fast, in-memory distributed setting. Discover how to create SAS Event Stream Processing applications capable of handling high-volume and high-velocity data streams, delivering real-time responses while retaining only the essential data elements. This course introduces fundamental principles of event stream processing, detailing the various component objects that can be utilized to construct effective event stream processing applications. Our commitment to curiosity drives innovation, as SAS analytics solutions convert raw data into actionable insights, empowering customers globally to embark on bold new ventures that foster advancement. Embrace the future of data analytics and unlock limitless possibilities with SAS.
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