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