By Ali Hodjat, Sr Director of Marketing, Telestream
Across sports, news, live events, corporate media, and digital-first content, remote workflows are a standard part of how media gets made. In many cases, they work better than traditional onsite production, reducing travel, lowering infrastructure requirements, and enabling teams to collaborate from anywhere.
IP contribution protocols such as SRT have become foundational to this shift, enabling high-quality video to travel securely across long distances with minimal latency. Hybrid environments that combine on-prem infrastructure, cloud platforms, and distributed workflows are now common operating models for broadcasters and media organizations alike.
As workflows stretch across cloud platforms and hybrid environments, two operational challenges surface regularly: capturing live content reliably in the cloud and maintaining visibility into contribution feeds across distributed infrastructure. Getting a stable, high-quality feed from a remote location to a centralized production hub is non-negotiable. Solving both capture and visibility is essential to making remote production operate with complete confidence.
Cloud-Native Capture and Visibility
Capturing live content in the cloud must be as reliable and flexible as it is in a traditional broadcast facility. Modern productions often involve cameras across multiple venues, IP contribution feeds, and distributed production teams working while events are still underway. Cloud-native capture enables teams to spin up ingest capacity instantly, route feeds dynamically, and begin recording the moment signals arrive.
Just as importantly, the content must become usable immediately. Growing-file workflows allow editors to start building highlights, social clips, and other packages while the event is still happening, rather than waiting for recording to finish. AI capabilities can also generate metadata during ingest, identifying speakers, players, logos, or key moments in real time and making content instantly searchable for downstream workflows.
But capture alone isn’t enough. Production teams also need visibility into the health of every incoming feed. A cloud service may be running perfectly while the signal itself is degrading. SRT contribution links can suffer from jitter, latency, or packet loss long before alarms are triggered. This creates what many teams experience as cloud blindness, the assumption that everything is healthy because “the cloud is up,” even though operators lack true end-to-end insight into the live feed.
For remote production to operate with confidence, teams need both: elastic cloud capture and real-time visibility from the contribution edge to the cloud workflow.
Telestream’s Cloud Services Strategy: Built for Hybrid Reality
Telestream’s cloud strategy reflects the reality that most media organizations operate in hybrid environments, balancing existing infrastructure with new cloud-native services. Today, Telestream’s cloud ecosystem spans three complementary platforms designed to support different parts of the media workflow.
EDC provides API-first, high-throughput media processing, captioning, and QC service designed for large-scale VOD, FAST channel, and streaming workflows. Vantage Cloud extends established Vantage automation pipelines into elastic environments, allowing organizations to scale familiar workflows without rebuilding them from scratch.
The newest addition is UP, a cloud-native SaaS solution that brings together ingest, orchestration, review, and live monitoring into a single operational environment. Built for distributed and hybrid production models, UP gives teams real-time control and visibility across cloud-based workflows.
Within UP, two services directly address the challenges of remote production: UP.Capture and UP.Lens.
UP.Capture: Elastic Ingest Without Infrastructure Constraints
Live productions are inherently dynamic. Camera feeds multiply, contribution sources change, and events evolve in ways that make fixed ingest infrastructure difficult to scale.
UP.Capture addresses this challenge by providing elastic, cloud-native ingest that expands instantly to meet production demands. Operators can spin up ingest channels on demand and route feeds directly into cloud or hybrid workflows without deploying new hardware.
As live feeds arrive, UP.Capture begins recording immediately while supporting growing-file workflows that allow editors to start working with content before recording is complete. Additionally, AI capabilities analyze incoming media in real time, generating metadata that makes footage easier to search, organize, and repurpose throughout the workflow.
This flexibility allows production teams to support distributed workflows without permanently expanding infrastructure. Sports organizations can scale ingest capacity for multi-venue events, news teams can rapidly onboard feeds during breaking coverage, and digital creators can operate entirely within cloud-based production environments.
UP.Lens: Bringing Observability to the Edge
As contribution workflows move to IP networks, operators need deeper insight into the health of incoming live feeds.
UP.Lens addresses this challenge by extending observability to the source. The service provides real-time multiviewer monitoring in the cloud, giving operators “eyes-on-glass” visibility into SRT and other IP-based feeds.
Instead of relying solely on packet statistics, operators can visually confirm the quality of multiple live feeds simultaneously while intelligent analytics detect issues such as packet loss, latency fluctuations, or synchronization problems.
A built-in “time machine” capability allows operators to rewind streams and pinpoint exactly when and where a signal began to degrade. This transforms troubleshooting from a guessing game into a precise, data-driven process and dramatically accelerates root-cause analysis during live events.
By extending visibility beyond the cloud boundary and back to the source, UP.Lens gives production teams the operational insight needed to support large-scale remote productions.
From Ingest to Confidence
Remote production success isn’t just about getting contribution feeds into the cloud. It’s about knowing with certainty that every feed is healthy from the moment it leaves the venue to the moment it reaches viewers.
Together, UP.Capture and UP.Lens create a unified operational layer that combines elastic ingest with end-to-end observability. Production teams can scale ingest dynamically, monitor live feeds in real time, and maintain operational control across hybrid environments without stitching together multiple tools.
Learn more about UP.Capture and UP.Lens here.