GCP · Telecom
5G core on Kubernetes with AI-driven ops — 5× MTTR improvement.
We ran a Tier-1 operator's 5G core on GKE with AIOps for triage — MTTR down 5× and ops team focus shifted from firefighting to capacity planning.
[MTTR improvement]
5×
[Alert noise]
-70%
[Capacity forecast]
30d
[ The Problem ]
Where the business was stuck.
Legacy 5G core ops relied on manual triage across siloed teams.
[ Key Challenges ]
- ▸Multi-vendor 5G core running on VMs
- ▸Alert noise overwhelmed NOC
- ▸Multi-region observability fragmented
Our approach
How we engineered
the outcome.
STEP 01
5G workloads containerized on GKE with SR-IOV
STEP 02
OTEL-based unified observability across vendors
STEP 03
AIOps model for alert correlation and root-cause
[ Solution highlights ]
Delivered — measured — in production.
- ✓MTTR down 5×
- ✓Alert noise cut 70%
- ✓Capacity forecasted 30 days out
[ Tech stack ]
Built on GCP.
GKE
OTEL
AIOps
Terraform
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Our NOC finally sleeps. That's how we know it works.
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