Kubernetes, in the cloud and on premise
Clusters on AWS, on Google Cloud or on your own hardware. We also write the controllers that start and stop workloads on demand.
How we do it : Kubernetes, in the cloud and on premiseServices · Infrastructure
Kubernetes, cloud and on-premise infrastructure
We design the platform, we automate it, and we run it. In a public cloud, in your own racks, or in both.
Infrastructure
What you can ask us for
Platforms that stay up, in the cloud or in your own racks.
Infrastructure as code
Servers, networks and services come from code in a repository, with Terraform and Ansible. A new environment comes from the same code.
How we do it : Infrastructure as codeCI/CD with a staging step
A release candidate goes to staging first. Then a person approves, and production gets the same image: promoted, and not built again.
How we do it : CI/CD with a staging stepMonitoring and alerts
Metrics, logs and alerts with Prometheus, Grafana and Loki. They tell you what is wrong before a customer does.
How we do it : Monitoring and alertsLive video pipelines
Ingest from cameras, transcoding, encrypted delivery and recording, with one set of workers for each stream.
How we do it : Live video pipelinesEdge, security and data
A protected edge in front of each service, and databases with replication and encrypted backups.
How we do it : Edge, security and dataMethod
How we work
-
We design it, we automate it, and we run it
The same people do the three steps, so the design, the code and the operation fit together.
-
One build for staging and for production
Production gets the image that passed staging. Nothing is built again between the two.
-
A person approves each production release
The pipeline does the work, and a person decides when.
-
Agents can operate the platform
Our networks of AI agents develop, maintain, deploy and monitor a platform. A person approves each task and each production deploy.
Tools
- Kubernetes
- K3s
- Docker
- AWS
- Google Cloud
- Terraform
- Ansible
- Bash
- GitLab CI
- Container registry
- Release tags
- Prometheus
- Grafana
- Loki
Proof
Projects that show it
Each project has a page that says what the product does and what we built.
-
Live streaming & video on demand
BaseadosTV
LiveLive and on-demand football for the clubs of the Region of Murcia, on a streaming platform that we built from the camera to the app.
-
Computer vision · On premise
AI live tracking
Confidential · On premiseA camera that follows the play by itself: AI detection and PID control, live and on premise.
-
Document chatbot · On premise
DocuChatAI
Confidential · On premiseA private chatbot that answers from the documents of a company, on the servers of the company.
Questions
Questions about this service
Short answers, before you write to us.
Do you work in the cloud or on premise?
Both. We build Kubernetes clusters on AWS, on Google Cloud and on the hardware of the client. BaseadosTV runs on an on-premise cluster that we built and that we operate.
Do you operate the platform after you build it?
Yes. We build it, and we stay to run it: releases, monitoring, alerts and backups.
How does a release go to production?
A release candidate goes to staging first. A person approves it. Then production gets the same image that passed staging: promoted, and not built again.
Can AI agents operate our platform?
Yes. We build networks of AI agents that develop, maintain, deploy and monitor a platform. A person approves each task and each production deploy.
Do you need this?
Tell us what you want to build or fix. An engineer answers.