Atlas Cloud
Demo project — an illustrative engagement showing how Quadric-ai scopes, builds and measures work of this type. Named client case studies are published as clients approve them.
A multi-region cloud platform handling fleet telemetry, routing APIs and event-driven microservices for a logistics operator running around the clock.
- Client
- Atlas Freight
- Year
- 2025
- Duration
- 7 months
- Team
- 5 platform engineers, 1 SRE
The challenge
- A single-region deployment created hours of downtime during incidents.
- Telemetry ingest peaked far beyond what fixed capacity could absorb.
- Releases required a maintenance window and manual steps.
Services
- Cloud Migration
- Kubernetes
- Observability
Our approach
01
Multi-region by default
Active-active Kubernetes clusters with traffic steering and automated failover, defined entirely in Terraform.
02
Event-driven ingest
Kafka-backed pipelines absorb telemetry bursts and decouple routing services from device volume.
03
Progressive delivery
Canary releases, automated rollback and SLO-based alerting removed maintenance windows entirely.
Results
99.99%
Platform availability
-34%
Monthly cloud spend
18/day
Safe deployments
6 min
Mean time to recover
Technologies used
- AWS
- Kubernetes
- Terraform
- Kafka
- Go
“We went from dreading releases to shipping several times a day. The platform absorbs peak season without anyone watching a dashboard at 3am.”
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