SCNET · Enterprise IT · Ankara, Türkiye

Sanal Çekirdek

Prioritize network and content incidents by subscriber impact.

Telecommunications and media technology services cover environments where networks, content platforms, customer channels, and operational support directly affect one another. Sanal Çekirdek focuses on converting high event volumes into meaningful priorities, aligning capacity to demand, and measuring service experience end to end.

Network visibility and AIOps

Topology, alarms, flows, performance and change data are correlated in service context. AIOps should enrich events and expose probable root cause and impact rather than simply suppress alerts.

  • Topology and service dependencies
  • Alert correlation and event grouping
  • Capacity and anomaly analytics
  • Runbooks and governed automation

Content and platform capacity

Content processing, storage, distribution, APIs and user traffic are planned around demand patterns. Bottlenecks and partial-failure scenarios are tested ahead of major releases or events.

  • Transcoding, processing and storage
  • CDN and edge distribution
  • APIs, identity and subscription
  • Load testing and autoscaling

Customer service and revenue assurance

Network events are connected to customer impact and service context for more accurate communication and routing. Billing, usage and service anomalies can be investigated through analytics and case management.

  • Customer and service impact view
  • AI-assisted agent knowledge
  • Usage and billing anomalies
  • Proactive communications and demand reduction

Cyber resilience

Identity, network, content, customer and management planes are protected through distinct trust zones. DDoS, identity compromise, data leakage and supply-chain scenarios are connected to service continuity.

  • DDoS visibility and response
  • Management-plane and privileged access
  • Customer data and API security
  • Cyber recovery and crisis communication

How we work

  1. Map network topology and service dependencies
  2. Measure alert volume alongside customer impact
  3. Design correlation, capacity and content delivery architecture
  4. Pilot on one service or one region
  5. Extend across the network on measured results

How success is measured

  • Service-impact incidents and root-cause time
  • Capacity, loss, latency and experience
  • Content/transaction success and peak resilience
  • Customer demand, repeat contact and proactive resolution

Frequently asked questions

Can AIOps resolve every network incident automatically?

No. Repetitive, low-risk steps may be automated, but uncertain root cause, broad impact or customer risk requires human judgment. Automation authority is set by incident class.

How is peak content traffic planned?

Historical demand, release schedules, content profile, CDN, processing capacity, databases and third-party dependencies are modeled together and validated under load and failure.

How is customer impact linked to a network alarm?

Topology, inventory, service and customer relationships must remain current. Event correlation is enriched with that context, while uncertain mappings are surfaced to operators.

Can one product provide complete DDoS protection?

No. Carrier, edge, application, DNS, identity and incident response must be planned together. Capacity and service objectives require validation against the real traffic profile.

Connect network events, service impact and customer experience in one operating model.

Assess network and data operations