Replay and Cloud Case Study

Evertz DreamCatcher Implementation and Cloud Workflows

Hybrid replay, ingest, playout, monitoring, and remote production workflows built around Evertz DreamCatcher and cloud connected broadcast infrastructure.

Replay Workflow

DreamCatcher ingest, replay, browse, and playout support.

Cloud Connected

Hybrid on premises and cloud based operational design.

Operations Tools

VUE, BRAVO, RCP, monitoring, and production handoffs.

Live Readiness

Built for fast turnaround, reliability, and broadcast response.

Enterprise
Technical Infrastructure
Live
Operational Environment
Integrated
Workflow Design
CTG
Engineering Support

Project Overview

Evertz DreamCatcher implementation supporting replay, 40 channels of live ingest, 16 channels of playout, AWS EC2, FSx, S3, monitoring, and hybrid cloud broadcast workflows.

This project highlights Crown Technical Group's experience supporting complex technical operations, infrastructure workflows, and production critical environments.
Systems Integration
Infrastructure Optimization
Operational Support
Technical Workflow Design

Overview

This case study highlights practical broadcast engineering experience at the intersection of replay, cloud contribution, signal flow, remote production, and live operational support. It reflects the kind of systems thinking required when production teams need flexibility without sacrificing reliability.

Why it matters

Integration points included AWS Direct Connect connectivity, Evertz XPS processing, Appear X20 encoding and decoding, contribution and return paths, and monitoring workflows using TAG Video Systems, Datadog, CloudWatch, and Telestream Vantage.

The system supported 40 channels of live ingest and 16 channels of playout, leveraging AWS services including EC2, FSx, and S3 for capture, processing, and storage.

The environment was designed to support a hybrid workflow where on premises systems, cloud contribution paths, and remote production resources needed to operate together as one dependable broadcast workflow.

Hybrid Production Architecture

The implementation included operational support for DreamCatcher BRAVO, VUE clients, replay control workflows, ingest and playout paths, encoder and decoder handoff, cloud transport, and monitoring across both local and remote systems.

DreamCatcher was used as part of a modern live production ecosystem supporting replay, ingest, playout, live editing, content access, and production operations across multiple technical environments. The system helped production teams manage more flexible media paths while maintaining the reliability and discipline required for live broadcast operations.

This project focused on implementing and supporting Evertz DreamCatcher workflows within a hybrid broadcast environment that combined on premises production infrastructure with cloud connected contribution, monitoring, and remote production capabilities.

Evertz DreamCatcher implementation and cloud broadcast workflows
Evertz DreamCatcher Implementation and Cloud Workflows
Evertz DreamCatcher implementation and cloud broadcast workflows
Evertz DreamCatcher Implementation and Cloud Workflows
Evertz DreamCatcher implementation and cloud broadcast workflows
Evertz DreamCatcher Implementation and Cloud Workflows
Evertz DreamCatcher implementation and cloud broadcast workflows
Evertz DreamCatcher Implementation and Cloud Workflows

Technical Scope and Execution

The project required coordination across replay operations, production control, engineering infrastructure, cloud transport, encoder and decoder workflows, network connectivity, and monitoring systems. The goal was to create a dependable production environment where replay, ingest, playout, and remote workflows could be managed with confidence during live operations.

My responsibilities included workflow planning, systems coordination, signal path validation, vendor communication, operational support, and troubleshooting across both on premises and cloud connected systems.

Replay, Ingest, and Playout Workflows

Evertz DreamCatcher provided the foundation for replay and production workflows where fast content access, live editing, playout control, and operational flexibility were essential. The workflow supported the needs of operators while giving engineering a scalable platform for current and future production requirements.

Special attention was given to ingest reliability, playout paths, replay control surfaces, VUE client access, RCP operation, source routing, and clean handoff between production teams and engineering support.

Cloud and Remote Production Integration

The system operated within a broader hybrid broadcast architecture that included AWS Direct Connect, local encoding and decoding resources, cloud contribution paths, and remote production requirements. This helped bridge traditional broadcast infrastructure with more flexible cloud based production workflows.

The architecture scaled to support 40 channels of live ingest and 16 channels of playout, using AWS EC2, FSx, and S3 to support capture, processing, and storage across the cloud connected workflow.

Supporting systems included Evertz XPS, Appear X20, TAG Video Systems monitoring, Datadog, CloudWatch, and Telestream Vantage. These tools helped provide visibility into signal health, system performance, workflow status, and operational readiness.

Systems and Technologies Used

Evertz DreamCatcherBRAVOVUE Clients40 Channel Live Ingest16 Channel PlayoutReplay WorkflowsIngest and PlayoutAWS EC2AWS FSxAWS S3AWS Direct ConnectEvertz XPSAppear X20TAG MonitoringDatadogCloudWatchTelestream Vantage Hybrid ProductionCloud ContributionRemote ProductionLive ReplayLive EditingMedia StorageSignal Flow ValidationMonitoring and ObservabilityWorkflow ReliabilityBroadcast Infrastructure

Hybrid Workflow Reliability

The workflow required careful coordination between replay operators, production teams, engineering support, cloud infrastructure, transport systems, and monitoring tools. Because the system crossed both on premises and cloud connected environments, reliability depended on clear signal path validation, predictable ingest and playout behavior, and visibility into system health across every handoff point.

Monitoring and observability were especially important because hybrid workflows can introduce more variables than traditional facility based production systems. TAG Video Systems, Datadog, CloudWatch, and Telestream Vantage helped support a more complete operational picture across signal health, processing status, system performance, and workflow readiness.

Operational Challenges

The project required balancing live production reliability with newer hybrid workflow demands. Replay, ingest, playout, cloud transport, monitoring, and remote access all needed to work together while maintaining the expectations of a live broadcast environment.

Key priorities included signal flow validation, system interoperability, operator readiness, monitoring visibility, timing awareness, and quick troubleshooting when workflows crossed between traditional broadcast systems and cloud connected infrastructure.

Outcome and Impact

The final environment supported a more flexible and scalable production workflow that combined Evertz DreamCatcher replay capabilities with cloud connected contribution, monitoring, and remote production support.

The result was a stronger hybrid production architecture that improved workflow flexibility, operational visibility, replay capability, and long term supportability across live production environments.