[ Tech stack ]
Prometheus
The open-source standard for cloud-native time-series monitoring.
Prometheus collects metrics by pulling over HTTP, stores them as time series and makes them queryable via PromQL. It's the natural companion to Kubernetes, deployed at Google, SoundCloud, Red Hat and most cloud-native platforms.
[ Why Prometheus at Dexon ]
What this technology does well,
and why we use it.
Typical usage: Kubernetes monitoring, application metrics, alerting.
- 01
Pull model: lean resource use on targets.
- 02
PromQL: a powerful, readable query language.
- 03
Native service discovery for Kubernetes, EC2, Consul.
- 04
Alertmanager: routing, silencing, escalation.
[ Complementary technologies ]
The building blocks we often
mobilise alongside.
A stack rarely exists alone. Here are the technologies Dexon most often pairs with this one, through pipeline habits, usage similarity or internal mastery. Click on a brick to see its scope.
[ Reassurance ]
- 0+
- custom projects delivered
- 30
- engineers, designers, project managers
- 80 %
- from top French schools
- 24 h
- average reply time
[ Our AI stance ]
AI-augmented approach,
supervised by experts.
We use artificial intelligence as a lever for acceleration and optimisation within our technical processes, while keeping strong human oversight on every strategic phase of the project.
AI improves productivity. It does not replace:
- field experience
- architectural expertise
- understanding business stakes
- technical governance
- complex trade-offs
- cybersecurity
- operational accountability
Our teams act as a layer of validation, quality control, security hardening and steering, to ensure reliable, scalable deliverables that can operate in real-world environments.