Spectrum Future Tech

Monetizing live video with real-time analytics at broadcast scale

Platform for broadcasters and media companies to deliver monetized video — capturing, standardizing, synchronizing, and routing data to client endpoints at scale devops automation.

Industry

Media & Broadcast

Services

  • DevOps Automation
  • Data Engineering

Technologies

  • Kubernetes
  • Kafka
  • React
  • Node.js
  • AWS
  • Grafana

Client

Broadcast technology company partnered with Spectrum to address operational and technology gaps in media & broadcast. Legacy ingestion could not keep pace with live event volume. Client integrations required custom exports per broadcaster. Spectrum applied a phased delivery model — 10 months — aligning stakeholders, compliance needs, and production cadence. Since 2016, Spectrum has delivered similar programs with managed teams and fixed-cost options.

Business challenge

Legacy ingestion could not keep pace with live event volume. Client integrations required custom exports per broadcaster.

  • Ingest limits

    Legacy pipelines dropped frames during peak live events.

  • Custom exports

    Each broadcaster required bespoke integrations.

  • Release risk

    Monolith deployments were too slow for revenue features.

  • SLO pressure

    Live sports and news demanded sub-second routing visibility.

Solution

Broadcasters pay for seconds of reliability during live events — dropped frames are revenue lost. We replaced bespoke exports with APIs and put ingest on streaming infrastructure that scales when audiences spike.

Module 1: Event streaming

Live capture feeds Kafka topics partitioned by event and venue; normalization services strip vendor-specific quirks before fan-out to subscribers. Backpressure handling was load-tested against last season’s peak finals — the engineering team watched lag metrics, not CPU alone. Replays and live share the same schema so client apps do not fork logic.

Module 2: API product layer

Each broadcaster used to get a custom export job; product management wanted a catalog instead. Standard REST endpoints deliver synchronized metadata, ad markers, and engagement signals with versioning and sandbox keys for integrators. Onboarding a new client is provisioning and keys — not a quarter-long integration project.

Module 3: Kubernetes SRE

Live events autoscale on queue lag and connection counts; SLO dashboards page SRE when error budgets burn during premieres. Incident runbooks name who rolls back the deployment vs. who scales nodes — learned after a championship match rehearsal. Post-event reviews feed back into capacity plans for the next rights deal.

  • Real-time

    Data routing

  • API-first

    Client onboarding

  • Auto

    Live event scale

Live and replay traffic share Kafka schemas and normalization services — client apps consume standard APIs instead of bespoke export jobs.

Ingest & Stream Processing

Partitioned topics by event and venue absorb championship-level spikes; backpressure tests used prior-season peaks as benchmarks. Normalization strips vendor-specific quirks before fan-out.

API Product Layer

Versioned REST endpoints deliver metadata, ad markers, and engagement signals with sandbox keys for integrators. Onboarding is provisioning and credentials — not a custom ETL project per broadcaster.

SRE & Live Operations

SLO dashboards and autoscaling policies tie to queue lag and connection counts. Incident runbooks separate rollback from horizontal scale actions learned in dress rehearsals.

Value delivered

Spectrum addressed bottlenecks and compliance needs while keeping delivery incremental and measurable.

  • CI/CD at scale

    Delivered and measured in production with stakeholder sign-off.

  • Real-time routing

    Delivered and measured in production with stakeholder sign-off.

  • Monetization-ready APIs

    Delivered and measured in production with stakeholder sign-off.

Project results

Broadcasters onboard through standard APIs while live events scale on streaming infrastructure — custom export projects are no longer the default integration.

  • Kafka pipelines absorbed championship-level spikes in dress rehearsals; schema registry protected consumers during rapid fixes.
  • Standard REST endpoints replaced one-off exports for anchor clients with sandbox keys and contract tests per release.
  • SLO dashboards and autoscaling tie to queue lag; incident runbooks separate rollback from horizontal scale.
  • Post-event reviews fed capacity plans for the next rights deal with measured lag and error budgets.
  • Deployment freezes during critical broadcast minutes with pre-named rollback owners.
  • Sub-second

    Routing visibility

  • API-first

    Client onboarding

  • Elastic

    Live event scale

Video Analytics Platform — Media & Broadcast program
Video Analytics Platform

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Monetizing live video with real-time analytics at broadcast scale | Spectrum Future Tech