Working with video workflows today means dealing with a lot of moving parts. Encoding, playback, and observability each come with their own APIs, documentation, and ways of working. The capability is there, but getting to the right answer still takes time, whether that’s searching docs, checking specs, or figuring out where something lives in…
For streaming platforms, delivery quality is a major revenue and brand issue. Buffering, slow player startup times, and black screens frustrate end users and lead to churn. The pressure is on ops and site reliability teams to find and fix issues quickly, but modern streaming pipelines are extraordinarily complex. These pipelines generate massive volumes…
As streaming platforms scale globally, development teams increasingly need to understand how playback activity is distributed and evolving in real time. However, impression data, one of the most direct indicators of player usage, is typically surfaced only after aggregation and processing through reporting pipelines. This makes it useful for analysis, but limits its value…
Streaming now accounts for nearly half of all TV viewing and as audiences grow, so do their expectations. A cluttered or outdated player interface can quietly erode the experience viewers have come to demand. With UI v4, Bitmovin’s Player gets a complete visual overhaul: cleaner controls, a stronger layout hierarchy, and a more polished look across every device. Discover what’s changed, what’s improved, and how to migrate.
Streaming teams rely on observability data to understand how playback performs across devices, platforms, and networks. Error metrics sit at the heart of this, helping engineering teams catch problems that affect startup time, playback stability, and overall viewer experience. But acting on those signals is not always straightforward.
During a recent company-wide hackathon at Bitmovin, teams across the organization explored how AI could be used to improve internal workflows and prototype ideas that may influence future product directions. One area that consistently slows teams down, especially across distributed engineering groups, is how issue tickets enter the development process. Bug reports may arrive…
AI-powered observability. Real-time ad signaling. Automated content clipping. Q4 2025 brought significant new capabilities across Bitmovin’s full product suite, from a single-score playback health indicator to a Search and Clipping Agent that finds and cuts moments across your entire library. Read the full quarterly roundup and find out what’s on the roadmap for Q1.
At Bitmovin, we believe that the best products often start as “bold ideas” born out of curiosity, especially when exploring how new technologies like generative AI could shape video workflows. That is why we host quarterly two-day hackathons, events designed to give our engineers the freedom to step away from their daily roadmaps and…
As AI systems move beyond simple question answering and toward agent driven workflows, access to reliable, structured data has become a central challenge. Large language models are effective at reasoning over natural language, but they still depend on well defined interfaces to interact with real systems such as analytics platforms, operational tools, and content services. Without a consistent way to expose those systems, teams are often forced to build custom integrations or rely on fragile prompt based approaches that are difficult to maintain at scale.
Repurposing landscape content into vertical formats such as 9:16 is now a common requirement for short‑form and mobile experiences. As more viewing shifts to phones held in portrait, teams want their existing video catalog to look good in a vertical frame without introducing a separate workflow just for it. A simple center crop often…
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