How Swift Delivers Reliable Streaming at the Edge with Wowza
When your viewers are spread across remote sites, vessels, and facilities, often with limited connectivity, you can’t afford buffering, brittle workflows, or hands-on upkeep. Our latest case study shows how Swift pairs an edge deployment model with Wowza Streaming Engine to deliver live and on-demand video reliably, while keeping operations centralized and low-touch. This post previews the key outcomes; grab the full case study for technical details and lessons you can apply to your own streaming stack.
Why this case study matters
If your team is responsible for delivering live channels, internal broadcasts, training, or VOD libraries across distributed locations, you’re balancing two realities: tight bandwidth at the edge and high expectations from audiences. Swift’s approach shows how putting delivery close to viewers while managing everything centrally can maintain quality during peak usage without relying on on-site IT.
At a glance: measurable impact
- 99.99% uptime across 150+ edge deployments running Wowza Streaming Engine
- 25,000+ daily users, including 3,000+ concurrent streams per site at peak
- Consistent playback using predictive pre-caching and adaptive delivery on sub-1 Mbps links
These are the kinds of KPIs that matter when you need broadcast-grade reliability on limited networks. Explore the architecture and operational practices in the full case study.
The edge model: local delivery, centralized control
Swift’s edge nodes handle ingest, packaging, and local delivery of live and VOD content, which keeps round trips off narrow links and preserves viewer experience during usage spikes. From a central console, Swift coordinates configuration, programming schedules, updates, and health monitoring, eliminating costly site visits and streamlining operations across geographically dispersed locations. Wowza Streaming Engine serves as the runtime on these nodes, providing the protocol flexibility, ABR packaging, and APIs needed to standardize builds and automate provisioning at scale.
Live + VOD for distributed audiences
Whether it’s an internal live feed or a curated VOD catalog, Swift’s on-site nodes keep playback responsive even when backhaul bandwidth is constrained. Live workflows bring in approved feeds and expose them through the same local node that serves on-demand content, creating a consistent experience on in-room TVs, set-top boxes, and common-area screens. Wowza’s multi-protocol support helps the system interoperate with various source types and endpoints, so each site can deliver a dependable outcome without one-off engineering.
Operational efficiency that scales
For teams supporting many locations, the difference isn’t just video quality; it’s operational predictability. Swift’s combination of edge delivery and centralized oversight keeps experiences consistent during shift changes, community events, and other peak moments. With Wowza Streaming Engine as a consistent foundation across environments, Swift can standardize deployments and roll out zero-touch updates—a major advantage when travel and staffing are limited.
Who should read the full case study
If you’re responsible for live channels, event streaming, or on-demand programming across multiple sites, this case study offers a practical blueprint for edge streaming on constrained networks, with a focus on reliability, scalability, and centralized management.
Key takeaways you’ll get inside
- How an edge-powered architecture centered on Wowza Streaming Engine supports both live and VOD on limited links
- What centralized monitoring and update workflows look like when sites are far apart and hard to reach
- Which KPIs matter when evaluating success across many distributed locations (uptime, concurrency, daily users)
- Why multi-protocol flexibility and ABR packaging simplify interoperability and long-term maintenance
Get the full story
See the full architecture, the operational model, and the performance metrics behind Swift’s deployment.