Queue-driven workloads on Kubernetes
Workers that scale with the queue, retry safely and cost nothing when there is no work, packaged with Helm.
We containerise most systems we build. Kubernetes with Helm runs a video transcoding pipeline that scales to zero and an AI transcription pipeline with 300+ parallel jobs; Docker carries Ben-Gurion University’s Umbraco sites on AWS Fargate and Jongeneel’s .NET 10 platform through CI/CD.
The kinds of work we use Docker & Kubernetes for, based on the projects below rather than a list of everything the technology can do.
Workers that scale with the queue, retry safely and cost nothing when there is no work, packaged with Helm.
Umbraco and .NET applications in Docker on ECS Fargate or other managed container platforms.
Builds, tests and deployments that produce the same container from a developer laptop to production.
Which part of the system it ran, and what it worked with. Every row links to the full case study.
Each one with the client’s problem, our approach and what changed.

An internal platform for inspections, toolboxes and transport planning, upgraded from Umbraco 8 to Umbraco 17 on .NET 10 with daily workflows intact.

The university's main Umbraco site: ~80,000 pages, ~1,000 editors, daily staff data imports and a zero-downtime move from Azure to AWS.
A Kubernetes pipeline that turns hours of mixed-language lectures into timed transcripts, subtitles, summaries and HLS video.

AI services connected to existing CRM, ERP and marketing tools: 24/7 chatbots, sentiment analysis, fraud alerts and predictive insights.
An event-driven AWS and Kubernetes service that turns each uploaded video into adaptive HLS streams with multi-language audio, then scales back to zero.

A login-only portal for BGU students and staff that shows each person their own schedule, grades, payments and news, built on the university's Umbraco setup.
We do not sell hours of a technology. We take on a result, and choose the stack with you. These are the services where Docker & Kubernetes usually comes in.
Each one backed by at least one published client project.
Backend
Cloud & DevOps
Anything missing? Send us your question and an engineer will answer, usually within one business day.
Contact usNot always. For one web application a managed container service such as ECS Fargate is simpler and cheaper. Kubernetes pays off for many services or heavy, spiky background work like media and AI pipelines.
Yes. Ben-Gurion University’s Umbraco sites run in Docker on AWS Fargate, and Jongeneel’s platform moved to .NET 10 with Docker and CI/CD.
When the queue is empty, no worker pods run and compute costs nothing. When jobs arrive, workers start automatically. Our cloud media pipeline works this way.
A spec, a Figma file or three paragraphs is enough to start.

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