TAG视频系统:展望2021年
流媒体在过去的两年里爆炸式增长已经不是什么秘密了. 它正在路上, 但新冠疫情使奥特内容消费达到了前所未有的水平, and predictions are pointing toward continued growth with video streaming responsible for most Internet traffic by 2022. 易用性起着重要作用，但视频质量也很重要. Operators must monitor hundreds — sometimes thousands — of channels without compromising real-time error detection. 产品越好, the better the consumer experience and that translates to more loyal viewers and increased 业务 for content owners.
Elevating the consumer experience to the highest-level possible requires deep insight into quality, metrics and issues; data that was previously beyond the reach of operators. 然而，多亏了TAG的实时媒体平台，这些数据现在是可以访问的. TAG的实时媒体平台, 由几个模块组成, 是行业最先进、最独特的平台来聚合, 管理和显示数据.
自2008年以来, TAG的MCM模块一直在执行先进的基于ip的功能, 监控, 深入探索, and logging of every error at every point across the entire workflow with realtime visualization. 运行在COTS硬件上, 提供300多个探测功能, 并支持所有主要的行业标准, the advanced all-software technology has addressed all transmission layers from the SMPTE ST 2110/2022-6 uncompressed to MPEG-TS compressed and 奥特 (HLS, MPEG-DASH, CMAF, JPEG XS, 等.)流一直到编码的视频内容及其质量.
但是如果, 除了监视和探测信号, 可以挖掘准确的数据驱动分析, 聚合, 管理和使用作为决策的基础，以建立更好的, 更吸引人 工作流? 如果 operators had access to open-source analytic tools such as Elasticsearch, Kibana, Grafana和Prometheus来分析和可视化数据? 如果 they could leverage the power of the cloud and AI to create truly actionable insights into this voluminous amount 原始数据的度量，以提高他们的性能, 帮助他们动态地将工作负载转移到性能更好的供应商, 扩展以管理不可预测的受众并验证SLA协议?
这一切都是可能的，现在有了 TAG's MCS, a module in The Realtime Media Platform that ushers in a new era of 开放、协作的工作流. With MCS, users can learn significantly more from their 监控 and metrics. Customers can measure internet networks and CDN performance across all their signals and know where to shift workloads for optimum performance. MCS在日志中定义周期性错误 file noise, driving faster root cause analysis and recovery from intermittent issues. 通过聚合多个客户的cdn和互联网网络的数据, TAG可以为客户提供实时CDN和网络指标, 帮助他们避开停电和拥堵. The system will correlate and identify problems across specific consumer devices, 版本和平台, 帮助客户交付可互操作的信号. 由人工智能驱动, users will be able to develop and deliver an exceptional customer experience that can be validated and measured, 为未来扫清道路 过程和更大的成功.
为探测提供更大的灵活性, 监测和数据收集, TAG recently enhanced its Realtime Media Platform with an Adaptive Monitoring feature.
TAG是唯一集成探测、监测和 多视图 提供自适应监控的解决方案 一个工具，允许MCM监控在任何 三个 操作modes-full, 光, and extra-光 on a per-input-source basis and in an adaptive manner resulting in the ability to monitor more probing points and leading to the efficient collection of 更多实时数据. 中操作符设置的阈值 由TAG软件或API命令触发 外部设备监控整个生态系统 系统之间会自动适应监控 模式确保最佳监控 所有流 在任何时候. Adaptive Monitoring not only elevates 监控 capabilities when using on-premises 硬件，但是基于云计算的好处更大 操作具有动态改变利用率的能力 实例基于任何给定的需要 time. 完全可视化 错误.
在本质上, the new Adaptive Monitoring functionality enables the user to choose the 监控 mode per channel with the ability to change it dynamically. 好处包括:优化 CPU Usage without sacrificing error detection; operational flexibility; simpler cloud operation with increased agility when 监控 a massive number of channels; and better utilization and management of 云实例和硬件百家乐软件可能会降低运营成本和资本支出. 这是一个零妥协的解决方案.
支持动态的、自动的、即时的分配 of 以每个输入流为基础监视百家乐软件, TAG's Adaptive Monitoring feature brings operators significant efficiency gains that yield cost savings 和/或更广泛的监控功能 同样的百家乐软件.
在 HLS, MPEG-DASH, 和CMAF, TAG的实时媒体平台已经成为奥特监控的首选解决方案. TAG软件使操作人员能够解决复杂的问题 奥特 delivery chains and to take on both the technical and economic challenges of 大规模监测TAG软件 结合了传统的MPEG-TS支持和功能 量身定制独特的监控要求 奥特, 包括解密和解码安全区域内的内容的能力, 提供全面的奥特监控和多视点解决方案.
对于不断发展的奥特领域， TAG软件不仅 支持跨所有渠道的有效监控，而不会妥协, 但也为持续增长提供了一条道路.
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