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MicrocosmWorks built an encoding profile management system with over 50 preset configurations covering broadcast (ProRes, DNxHR), OTT (CMAF with H.264/H.265), and social media (platform-optimized MP4) delivery targets. Each source video is encoded into all required formats in a single pipeline run using parallel FFmpeg workers, with automatic quality validation against each channel's specification.
MicrocosmWorks implemented per-title encoding optimization that analyzes each video's visual complexity using VMAF scoring to generate a content-aware bitrate ladder. Simple talking-head content receives fewer, lower-bitrate rungs while visually complex content like sports gets additional higher-bitrate variants, optimizing storage costs while maintaining perceptual quality above VMAF 93.
MicrocosmWorks architected the platform for horizontal scaling using Kubernetes-orchestrated encoding workers that auto-scale based on queue depth. The system has been validated processing over 1,000 hours of video per day using spot instances, with job prioritization ensuring urgent encodes are processed within minutes while bulk backlog operations use cost-effective scheduling.
MicrocosmWorks built a delivery tracking dashboard that monitors each asset's encoding status, upload progress, and publication confirmation across all distribution channels. The system provides webhook callbacks for downstream system integration and generates automated reports showing time-to-publish metrics per channel, helping operations teams identify distribution bottlenecks.
MicrocosmWorks delivers video infrastructure projects at rates of $30-$50/hr, with an enterprise encoding and distribution platform including the profile manager, autoscaling workers, VMAF optimization, and multi-channel delivery typically requiring 700-1000 development hours. Cloud encoding costs run approximately $0.01-$0.03 per minute of source video on AWS spot instances.
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