We operate the cloud platform for high-quality live broadcasts and video distribution. From server control to real-time monitoring, your multimedia services run reliably, even during peak loads.
The platform bundles network, server, and distribution functions required for operating high-quality multimedia services. Each function is designed for a specific operational purpose—from load balancing to failure detection.
Requests are distributed based on current server load and the geographic proximity of viewers. This relieves individual nodes and keeps playback smooth even during peak traffic.
Benefit: fewer buffering interruptions during concurrent accessDashboards show throughput, error rates, and latency per region. Automatic alerts flag deviations before they become visible to viewers—including a suggested countermeasure.
Benefit: outages are often prevented before they occurIncoming signals are converted into multiple quality levels. The output adapts to the recipient's bandwidth without requiring manual operator intervention.
Benefit: consistent playback on mobile devices and large screensRegional media servers handle delivery close to the viewer. Central control coordinates the nodes and balances load spikes across multiple locations.
Benefit: lower latency and reduced strain on core infrastructureIn the event of a node failure, the data stream is redirected to a backup path within seconds. The switchover occurs without any visible interruption to playback.
Benefit: high availability even with individual server issuesChannels, quality profiles, and distribution rules can be adjusted via a REST interface. This enables integration into existing workflows and automation.
Benefit: quick adaptation to new events without manual interventionSingle media server with 2 TB NVMe storage, automatic failover route, and central dashboard. Suitable for regular events with up to 500 concurrent connections. Includes configuration, setup, and 30 days of support.
Three coupled server nodes with load balancing, geo-redundant cache, and advanced monitoring. For organizers with multiple parallel broadcasts. Includes API access, SLA with 99.9% availability, and a monthly infrastructure report.
Distributed network of edge nodes in Austria and southern Germany. Automatic scaling, private peering connection, and dedicated contact person. For broadcasters and media houses with high demands on latency and reliability.
Individual combination of your own servers and cloud resources. We plan the connection to your existing network technology and handle the migration. Includes training for your operations team and documentation of the entire architecture.
Instead of concentrating all load on a single location, StreamCore distributes processing across regional nodes. This noticeably reduces latency and keeps playback stable even under peak load.
Our monitoring continuously checks throughput, buffer times, and error rates. Automated alerts kick in before viewers notice any disruption—this builds trust in your services.
Whether 500 or 50,000 concurrent viewers: the cloud infrastructure scales automatically. You only pay for the computing power actually used, with no upfront investment in hardware.
StreamCore connects to your encoding and content management systems via documented APIs. This preserves your existing workflow environment while we handle delivery.
Answered briefly and clearly – the key points about cloud platform, media servers, and monitoring in operation.
Latency mainly depends on the processing chain: from the encoder to the media server to the player. We rely on edge nodes that deliver data closer to the viewer and on adaptive buffering. This keeps the delay stable in the single-digit second range even with fluctuating bandwidth.
The cloud platform scales automatically with the number of viewers. During peak loads, additional instances are started without manual intervention. This reduces outages and lowers operating costs because you only pay for the capacity actually used.
Each media server is continuously monitored – CPU, memory, network throughput, and error rates. If a node fails, a redundant server automatically takes over. The switch happens in fractions of a second, so viewers usually do not notice the disruption.
Yes, the architecture is designed for load peaks. Through the combination of CDN and dynamic load balancing, requests are distributed across many nodes. In practice, we have operated broadcasts with over 50,000 concurrent viewers stably.
The monitoring dashboard shows all relevant metrics at a glance: throughput, buffering times, error rates, and server utilization. Automatic alarms report deviations via email or webhook before they become visible to viewers. This allows the team to react proactively.
The platform can be connected via standardized interfaces (RTMP, SRT, HLS). A stable internet connection and a firewall release for the relevant ports are sufficient for the connection. Our team supports configuration and coordination with your own network operator.