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Scaling a telecom operator's ERP infrastructure

We built a stable architecture on dedicated servers and Kubernetes for 24/7 ERP operation.

Comnet

Briefly on the case

The challenge

Ensure stable ERP system operation as load increases, remove database performance limitations, and implement secure integration without using public networks.

Solution

  • 1
    Managed Kubernetes
  • 2
    Dedicated server and infrastructure rental
  • 3
    Backup
  • 4
    Kubernetes containers
  • 5
    Migration to Serverplus

Results

  • Stable 24/7 operation
  • Reduced request processing latency
  • High-availability database infrastructure
  • Ready to scale
  • Lower capital expenditure

Client company

Comnet is a telecom operator that provides telecommunications services to private and corporate customers and manages its own network infrastructure.
The company uses an in-house ERP system to coordinate technical staff, process service requests, and keep track of infrastructure assets.
The ERP supports the operator's core operational processes and directly affects service stability and request handling speed.
Growth in the number of subscribers, requests, and transactions increased the load on the database and made infrastructure modernization necessary.

Client company

Why you chose ServerPlus

The company was looking for an infrastructure partner capable of keeping a business-critical ERP system running reliably as load and data volumes grew. It needed a solution that would guarantee high availability, isolation of the database segment, and the ability to scale without interrupting operational processes.
  • Stable ERP operation as the number of requests and staff grows
  • High database performance under transaction load
  • Full isolation and protection of critical infrastructure segments
  • Minimized risk of downtime and performance degradation
  • Ability to scale without interrupting business processes

Results and future plans

The ERP system now runs on stable, scalable infrastructure.
Request processing latency was reduced, database bottlenecks were eliminated, and high availability was ensured for key services.
The infrastructure is ready for further growth in load without interrupting operational processes.

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