Browse by topic.

Video transcoding's workload shape (queue-driven, variable-throughput, periodic-spike) maps cleanly onto KEDA queue-depth autoscaling — but only with the right pool topology.

Broadcast video infrastructure has different SLAs than UGC video.

cost optimization articles, reference architectures, and engineering notes from the MpegFlow team.

Build-vs-buy, self-hosted-vs-managed, FFmpeg-direct-vs-orchestrated — video infrastructure has a small set of recurring decision points.

FFmpeg is the workhorse of every serious video pipeline — and the source of most of its operational pain.

Running video transcoding on Kubernetes maps the workload's natural shape — variable-throughput, queue-driven, periodic-spike — onto K8s + KEDA primitives.

The operational layer between your application and FFmpeg is where most production pain lives: queue depth and starvation, retry semantics by failure class, partial-success handling, encoder-version pinning, output cleanup on cancel, delivery-side rate limits.

The Kubernetes operator pattern for multi-tenant video transcoding gives you per-tenant pool isolation as a CRD, leader election for HA, pool-pause for drain-without-drop upgrades, and per-pool routing that keeps the topology out of your application layer.

packaging articles, reference architectures, and engineering notes from the MpegFlow team.

Most video transcoding deployments give workers IAM credentials and call multi-tenant security "handled." It isn't.

Transcoding is FFmpeg invocations plus the operational layer around them.

Evaluating video infrastructure vendors is a procurement question with engineering depth.

Video workflow orchestration sits between the encoder and your application: the queue, retry classifier, audit trail, multi-tenant security, and pool topology that every video team otherwise rebuilds.

ABR ladders are where partial-success semantics, encoder-pool routing, and packaging logic intersect.

announcements articles, reference architectures, and engineering notes from the MpegFlow team.

api articles, reference architectures, and engineering notes from the MpegFlow team.

Migrating multi-petabyte legacy media archives to modern formats is a workload class with its own constraints: throughput windows, scheduling around cold-storage retrieval costs, deferral strategies, and audit trails that every legal and contractual question can be answered against.

AWS hosts a substantial fraction of the world's video infrastructure via Elemental MediaConvert, MediaLive, MediaPackage, and adjacent services.

Bitmovin is the mature enterprise video encoding platform with deep codec coverage and a long broadcast track record.

build-vs-buy articles, reference architectures, and engineering notes from the MpegFlow team.

bulk transcoding articles, reference architectures, and engineering notes from the MpegFlow team.

codec articles, reference architectures, and engineering notes from the MpegFlow team.

Honest, buyer-shaped comparisons of the major video infrastructure vendors.

At meaningful volume, the per-minute pricing of managed encoder services becomes uncomfortable next to running your own fleet.

A real video pipeline is a directed acyclic graph with retries, audit, and partial-success semantics — not three Lambdas hand-stitched in glue code.

drm articles, reference architectures, and engineering notes from the MpegFlow team.

failover articles, reference architectures, and engineering notes from the MpegFlow team.

fairplay articles, reference architectures, and engineering notes from the MpegFlow team.

global delivery articles, reference architectures, and engineering notes from the MpegFlow team.

Production Helm charts for video infrastructure ship the API tier, shared workers, KEDA ScaledObject manifests, NetworkPolicy, RBAC, and the operator CRDs that everyone otherwise reinvents.

high availability articles, reference architectures, and engineering notes from the MpegFlow team.

hls articles, reference architectures, and engineering notes from the MpegFlow team.

ingest articles, reference architectures, and engineering notes from the MpegFlow team.

KEDA (Kubernetes Event-Driven Autoscaler) scales video transcoding pools on the right signal — queue depth — instead of CPU.

live articles, reference architectures, and engineering notes from the MpegFlow team.

low-latency articles, reference architectures, and engineering notes from the MpegFlow team.

AWS Elemental MediaConvert is AWS's managed file-based transcoding service.

meta articles, reference architectures, and engineering notes from the MpegFlow team.

Multi-region video is what you build when a regional outage can't take your pipeline down.

multi-tenancy articles, reference architectures, and engineering notes from the MpegFlow team.

Mux is the dev-friendly video API with strong analytics and a polished player.

orchestration articles, reference architectures, and engineering notes from the MpegFlow team.

Treating video pipelines as code (declarative DAG manifests, versioned in git, applied via CI) is the operational shift that makes broadcast and OTT teams stop firefighting the orchestration layer.

platform articles, reference architectures, and engineering notes from the MpegFlow team.

playready articles, reference architectures, and engineering notes from the MpegFlow team.

presets articles, reference architectures, and engineering notes from the MpegFlow team.

presigned-urls articles, reference architectures, and engineering notes from the MpegFlow team.

production articles, reference architectures, and engineering notes from the MpegFlow team.

rtmp articles, reference architectures, and engineering notes from the MpegFlow team.

Running FFmpeg at scale demands different patterns than running it once.

Self-hosted is a first-class deployment shape for sovereign-cloud, regulated, or scale-economic video workloads.

speke articles, reference architectures, and engineering notes from the MpegFlow team.

Spot instances are 60-90% cheaper than on-demand and exactly the right shape for video transcoding (mostly idempotent, retry-tolerant, storage-out-of-worker).

srt articles, reference architectures, and engineering notes from the MpegFlow team.

strict-broker articles, reference architectures, and engineering notes from the MpegFlow team.

VOD pipelines are the largest video workload by volume and the most operational.

widevine articles, reference architectures, and engineering notes from the MpegFlow team.