orchestration & innovation of broadcasting
Automating live and file contribution workflows, facilitating hybrid IP/SDI production, managing broadcast/OTT distribution platforms, … DataMiner provides a flexible operational environment allowing service management from content capture to broadcast delivery.
Data center & virtualization
With the gradual converging of IT and media, the often siloed technologies in the data center bring a whole new set of challenges for end-to-end monitoring and control of workflows. DataMiner offers end-to-end service monitoring and control and insight in the data center stack.
QoE analytics & optimization
DataMiner provides unity in the many QoE monitoring tools available today, providing end-to-end visibility on service quality from one single screen. DataMiner links end-user QoE to specific metrics in the network, with a clear overview on the entire network infrastructure and all services running on it.
Service & Resource Management
Model, deploy and manage complex services end to end with the DataMiner Service & Resource Manager. Check and track the capacity, availability and capabilities of any of your technology resources, and reduce human interaction across your entire operation to a single unified drag-and-drop canvas.
Orchestration, automation and innovation in today’s broadcast operations
DataMiner is the number one choice in the market to automate live and file contribution workflows, to facilitate hybrid IP/SDI production following AIMS recommendations, and to manage broadcast/OTT distribution platforms. No system other than DataMiner facilitates such a flexible operational environment, managing services and SLAs from content capture to broadcast delivery over satellite or CDN (OTT).
At the heart of DataMiner resides its intrinsic capability to manage and control any device, any software function running in the data center (process, application, VM or container), and any media service. DataMiner is the must-have automation system to safely migrate media workflows from bespoke SDI infrastructures to the private or public cloud.
Data center and virtualization
The worlds of IT and media are increasingly converging. Broadcasters and service providers are at the eve of launching cloud-based media playout and distribution services. While the media data planes come together well, the monitoring and control planes for media across vendors remain a big source of concern. Unlike highly scalable IT-style services such as web servers, storage nodes or load balancers, the management and orchestration of permanent and semi-permanent media services (e.g. linear OTT services) requires special attention in the data center.
The latter demands a marriage between devops and traditional media workflows. In an attempt to accomplish this, the majority of technology companies are launching proprietary ‘controllers’ that hide the data center scaling and scheduling complexities from media operators. For performance and operational reasons, those controllers often rely on a pre-defined and pre-tested stack hierarchy in the data center, and with that, a very specific set of media tools, devops tools, scripts, logfiles, dashboards, etc. As a result, the data center abstraction promise is broken, with each technology running in its own cluster of resources, in its own silo. DataMiner, building upon its leadership in multi-vendor network operations, brings together the best of both worlds, offering end-to-end service monitoring and control on the one hand, and insight in the data center stack on the other hand.
QoE analytics & optimization
Many broadcasters and service providers have a variety of QoE monitoring tools in use today. Most, if not all, of those tools provide visibility on very specific aspects of how consumers experience a service. Operators use multiple tools and multiple screens in an attempt to get end-to-end visibility. However, times are changing, as changes in the user experience quickly impact a business.
DataMiner turns the multiple operator screens into a single operational environment, which rather than merely visualizing the service, allows active management of the service quality. Firstly, the DataMiner analytics engine relates end-user QoE to specific metrics in the network itself, like network location, network status and capacity utilization, service status at the origin server, and much more. These analytics provide operators with insight as to root causes and fault locations in case of service degradation.
Secondly, DataMiner provides the required visibility and control across the entire network infrastructure and all services running on it. As such, DataMiner can close the loop and optimize service delivery to the target quality. With DataMiner, operators have all tools at hand to make the right tradeoff between service quality, opex and network capex.
Service & resource management
End-to-end service management for media, voice and data
DataMiner’s unique multi-vendor architecture manages services across a mixture of bespoke hardware, on-premises and off-premises VMs, containers and microservices. Hybrid networking is supported without limitations, including traditional SDI, SDN and WAN connectivity.
Job, booking and event scheduler
Scheduling and automation of jobs and bookings is a native capability in DataMiner. The scheduler executes any action, session or event with the highest precision, either as a single task or as a series of recurring events.
Transmission and media services profile manager
Service and transmission profiles are used in any modern media workflow. The customizable library of profiles in DataMiner can be applied to any device, software function, or mixture of these. Being infrastructure-agnostic, profiles are the perfect workflow mediation layer in any operation, decoupling workflows from the underlying infrastructure.
Sophisticated resource management
DataMiner resource management stands out as a result of its versatility and its reliability. Within DataMiner, not only hardware elements and ports are managed as a resource, but also data center virtual machines and containers, network bandwidth and capacity, and even virtual resources such as rooms, desk positions, and staff. All these are modeled in pools of bookable resources as part of the media workflows.
Without any restrictions, element control, service orchestration and just about any operational workflow can be fully automated in DataMiner. A comprehensive graphical editor, complemented with an advanced scripting engine for complex automation, gives full freedom to operators to create and fine-tune workflows at run-time, at any time.
Virtual function management abstraction
DataMiner virtualizes bespoke hardware, appliances, software applications, and containers as a set of manageable elementary functions. Each set of elementary functions is modeled into a DataMiner resource pool. Using the graphical service manager editor in DataMiner, operators can connect multiple functions together to model a full service definition.
Physical and logical connectivity
DataMiner orchestrates and resolves service flows throughout the infrastructure, across all affiliates, studios, master control rooms and distribution network segments.
In media production data centers, SDN orchestration is extremely flexible. It can be customized to use static IGMP routing, multicast address translation in the switch fabric (NAT), end-point initiated IGMP v2/v3 joins, SMPTE 2022 supported failover with tailored make/break options, dual illumination connectivity, unicast and multicast on the same network, and much more.
The DataMiner Connectivity Framework (DCF) also supports complex architectures such as data center spine/leaf topologies.