Domain expertise
applied where it matters most
Data engineering for video telemetry, reliability engineering for streaming, systems performance at media scale — skills too specialized to build internally, too critical to leave underdeveloped. We bring small, specialized teams to solve the problem, without the headcount.
Media platforms generate data at volumes and shapes that general infrastructure patterns handle poorly. A Snowflake schema optimized for web analytics underperforms under video event volumes. Reliability engineering for streaming requires knowing the difference between an ABR degradation cascade and a DRM license storm — and what each recovery path looks like.
We bring domain-specific expertise across data pipelines, systems performance, and DevOps — applied to media workloads. Engagements typically start from a specific pain point and end with a documented architectural improvement: not just a fix, but an understanding of why the system behaves the way it does under the conditions that matter. We solve the problem and stay long enough to transfer knowledge. Your team understands why the system behaves the way it does, not just how we fixed it.
Three domains, one team
Data engineering
Video telemetry doesn't behave like standard analytics data — different cardinality, volume bursts, query patterns. We build pipelines and warehouses designed for that shape specifically. Performance, scalability, and clarity are the foundation and we make them a reality.
DevOps & reliability
Streaming failure modes don't show up in generic SRE playbooks — origin failover cascades, multi-CDN routing conflicts, encoder drift. We bring that context into Kubernetes, Terraform, and observability work. Experience allows us to filter the signals from noise, and that results in quicker resolutions and less down time.
Systems & performance
Some problems live below the application layer — encoding profiling, GPU tuning, network latency. Deep expertise, brought in for exactly as long as it's needed. We have a broad team that has exceptional specialized skills — we match the skills to the challenges and lead with experience.
How we approach specialized engagements
From symptom to root cause
We start from the symptom — slow encoding pipelines, excessive cloud costs, unreliable live operations — and use telemetry and analysis to find the actual bottleneck. We map how the system behaves under load, isolate where it breaks, and address the root cause so it doesn't happen again.
Media-aware solutions
A video telemetry pipeline behaves differently from a typical analytics pipeline. A live broadcast operation behaves differently from a typical web SRE playbook. We apply general engineering principles with real knowledge of how media workloads specifically behave.
The solution is understandable when we leave
We document architecture decisions, failure modes, and operational context — so the system makes sense to whoever maintains it next, not just to the team that built it. Proving knowledge transfer or even training to empower our partners is part of how we view success, organizational and system knowledge should always be added to and made better, not fleeting and transient.
What we've built
Snowflake ETL cost saving for a digital content security company
Redesigned ETL pipelines through query restructuring and ingestion pattern changes, significantly reducing Snowflake compute costs.
View case → Systems · OBSOBS AMD AMA Plugin: hardware encoding for streaming
OBS plugin integrating hardware encoding via AMD Alveo MA35D — requiring deep knowledge of OBS internals and encoder behavior under live streaming conditions.
View case → Rendering · MPEG-DASHDASH Overlays: Scalable Real-Time Video Graphics
Real-time client-side video graphics using MPEG-DASH event streams — a specialized intersection of streaming protocol knowledge and rendering engineering.
View case →Have a specific bottleneck to solve?
Tell us where the problem is. We'll scope it, find the root cause, and design a solution that fits your system.
Talk to us