Illustrative scenario

Multi-Cloud (AWS/Azure) Network Operations Modernization

Telecommunications providers managing network operations across legacy OSS/BSS systems and increasingly cloud-native infrastructure need a consistent operating model that spans both AWS and Azure without duplicating tooling or governance.

Typical engagement
Team extension
Typical duration
7-9 months for unified operations layer design, pilot, and full rollout, with ongoing dedicated team support thereafter.

Visual overview · Cloud Migration and Modernization

How one operations layer spans AWS and Azure

An illustrative diagram drawn from this scenario's architecture and phases. Choose a phase to see what it works on.

How one operations layer spans AWS and AzureShared infrastructure-as-code modules, parameterized per cloud, feed automated deployment pipelines that provision network services the same way in AWS and Azure. Parallel, consistently governed landing zones in each cloud are connected by a shared network backbone, with federated identity and policy enforcement applied across both. Logs, metrics and traces from network functions and infrastructure in both clouds flow into a unified observability layer and a single monitoring and alerting plane. Alerts go to unified incident management, and a centralized runbook and automation layer standardizes incident response across both environments.AWS LANDING ZONEAZURE LANDINGZONESharedinfrastructure-as-codemodulesParameterized per cloudAutomateddeploymentpipelinesOne process for bothcloudsNetworkfunctions andinfrastructureVPC, EKSNetworkfunctions andinfrastructureVirtual Network, AKSShared networkbackboneFederated identityand policyenforcementApplied across bothcloudsUnifiedobservability layerLogs, metrics andtracesSingle monitoringand alerting planeUnified incidentmanagementPagerDuty or ServiceNowCentralized runbookand automationlayerpolicyHow one operations layer spans AWS and AzureShared infrastructure-as-code modules, parameterized per cloud, feed automated deployment pipelines that provision network services the same way in AWS and Azure. Parallel, consistently governed landing zones in each cloud are connected by a shared network backbone, with federated identity and policy enforcement applied across both. Logs, metrics and traces from network functions and infrastructure in both clouds flow into a unified observability layer and a single monitoring and alerting plane. Alerts go to unified incident management, and a centralized runbook and automation layer standardizes incident response across both environments.AWS LANDING ZONEAZURE LANDING ZONEShared infrastructure-as-codemodulesParameterized per cloudAutomated deployment pipelinesOne process for both cloudsNetwork functions and infrastructureVPC, EKSNetwork functions and infrastructureVirtual Network, AKSShared network backboneFederated identity and policyenforcementApplied across both cloudsUnified observability layerLogs, metrics and tracesSingle monitoring and alerting planeUnified incident managementPagerDuty or ServiceNowCentralized runbook and automationlayerpolicy
  • Data or process flow
  • Management, governance or evidence link
How one operations layer spans AWS and Azure. Illustrative diagram for this scenario.

How one operations layer spans AWS and Azure

Full diagram. On smaller screens, scroll or swipe to move around it.

How one operations layer spans AWS and AzureShared infrastructure-as-code modules, parameterized per cloud, feed automated deployment pipelines that provision network services the same way in AWS and Azure. Parallel, consistently governed landing zones in each cloud are connected by a shared network backbone, with federated identity and policy enforcement applied across both. Logs, metrics and traces from network functions and infrastructure in both clouds flow into a unified observability layer and a single monitoring and alerting plane. Alerts go to unified incident management, and a centralized runbook and automation layer standardizes incident response across both environments.AWS LANDING ZONEAZURE LANDINGZONESharedinfrastructure-as-codemodulesParameterized per cloudAutomateddeploymentpipelinesOne process for bothcloudsNetworkfunctions andinfrastructureVPC, EKSNetworkfunctions andinfrastructureVirtual Network, AKSShared networkbackboneFederated identityand policyenforcementApplied across bothcloudsUnifiedobservability layerLogs, metrics andtracesSingle monitoringand alerting planeUnified incidentmanagementPagerDuty or ServiceNowCentralized runbookand automationlayerpolicy

Phases

Shared infrastructure-as-code modules, parameterized per cloud, feed automated deployment pipelines. Choose a phase to highlight the parts of the solution it works on.

Read the diagram as text
  1. Shared infrastructure-as-code modules, parameterized per cloud, feed automated deployment pipelines.
  2. The pipelines provision network services into consistently governed landing zones in AWS and in Azure.
  3. A shared network backbone connects the two landing zones; federated identity and policy enforcement apply across both.
  4. Logs, metrics and traces from both clouds flow into a unified observability layer and a single monitoring and alerting plane.
  5. Alerts go to unified incident management, with a centralized runbook and automation layer for consistent response.

A multi-cloud network operations modernization establishes a unified operations layer across both platforms. The intended outcome is a resilient, centrally governed multi-cloud operating environment purpose-built for network-scale reliability requirements.

The situation

Telecommunications operators face intense pressure to modernize network operations while sustaining strict reliability expectations shaped by regulatory oversight and customer service-level commitments. Many carriers have adopted a multi-cloud posture deliberately, either through M&A, vendor diversification strategy, or workload-specific platform selection, but this often results in duplicated tooling, inconsistent monitoring, and fragmented incident response processes across AWS and Azure environments.

Network functions increasingly run as cloud-native or containerized workloads, requiring DevOps and platform-engineering discipline that traditional network operations centers were not built around. At the same time, providers must maintain rigorous availability and reliability commitments, satisfy infrastructure resilience obligations, and manage cost pressure from running parallel cloud environments without a unified governance and observability layer tying them together.

The challenge

The organization operates critical network operations functions across both AWS and Azure, often as a result of historical vendor decisions, acquisitions, or workload-specific platform choices, but lacks a unified operations and observability layer spanning both clouds. Incident detection and response processes differ by cloud, tooling is duplicated, and network operations staff must context-switch between platforms during outages, increasing mean time to resolution.

Provisioning consistent network monitoring, security policy, and deployment pipelines across both environments requires manual, cloud-specific effort, slowing the rollout of new network services and increasing the risk of configuration drift between platforms.

Target state

Network operations teams work from a single, unified operational view spanning both AWS and Azure, with consistent monitoring, alerting, and incident response processes regardless of underlying cloud. Infrastructure provisioning, security policy, and deployment pipelines are standardized through common tooling and shared automation templates, reducing duplicated effort and configuration drift.

New network services and capacity changes are deployed through consistent, automated pipelines across both clouds, and mean time to detect and resolve incidents is reduced.

Approach

In this scenario, the delivery team designs and implements a unified multi-cloud operations layer that standardizes observability, incident management, and deployment automation across AWS and Azure, using common infrastructure-as-code modules and a consolidated monitoring and alerting platform. The engagement is delivered under a team extension model, embedding specialist multi-cloud network operations engineers directly into the organization's existing NOC and platform engineering functions to modernize processes without disrupting live network operations, with documentation and an agreed handover supporting long-term internal ownership.

Architecture

The target architecture establishes parallel, consistently governed landing zones in AWS and Azure connected by a shared network backbone, with common identity federation and policy enforcement applied across both. A unified observability layer aggregates logs, metrics, and traces from network functions and infrastructure in both clouds into a single monitoring and alerting plane, supporting consistent incident detection regardless of platform.

Deployment pipelines use shared infrastructure-as-code modules parameterized per cloud, allowing network services to be provisioned and updated through the same automated process whether they run on AWS or Azure. A centralized runbook and automation layer standardizes incident response steps across both environments, reducing operator context-switching during outages.

Technology

  • AWS (VPC, Route 53, CloudWatch, Systems Manager)
  • Azure (Virtual Network, Azure Monitor, Azure Automation)
  • Terraform (multi-cloud infrastructure as code)
  • Kubernetes (EKS/AKS) for containerized network functions
  • Datadog or Grafana (unified observability across clouds)
  • PagerDuty / ServiceNow (unified incident management)
  • GitHub Actions / Azure DevOps (multi-cloud CI/CD pipelines)
  • AWS IAM Identity Center / Microsoft Entra ID (federated identity)
  • HashiCorp Vault (secrets management across clouds)

Phases

  1. Multi-Cloud Operations Assessment

    Typically 4-6 weeks

    Inventory of network functions and tooling across AWS and Azure; gap analysis of monitoring, incident response, and deployment processes.

  2. Unified Observability & Governance Design

    Typically 6-8 weeks

    Design of shared monitoring/alerting platform, federated identity, and common infrastructure-as-code modules.

  3. Pilot Implementation

    Typically 6-8 weeks

    Implement unified observability and incident response for a pilot set of network functions across both clouds; validate against live incident scenarios.

  4. Full Rollout

    Typically 4-6 months

    Extend unified operations layer across remaining network functions and services in both AWS and Azure; standardize deployment pipelines.

  5. Steady-State Operations

    Typically Ongoing

    Embedded team extension continues operating and refining the unified NOC model, with documentation and handover to internal staff.

Typical team

  • Multi-Cloud Network Architect
  • AWS Cloud Engineer
  • Azure Cloud Engineer
  • Site Reliability Engineer
  • DevOps Engineer
  • Security & Compliance Specialist
  • NOC/Incident Response Lead
  • Delivery Manager

Intended outcomes

  • Reduced mean time to detect and resolve network incidents across both cloud platforms
  • Consolidation of duplicated monitoring and incident management tooling
  • Standardized, automated deployment pipelines across AWS and Azure
  • Reduced configuration drift and improved consistency of security policy across clouds
  • Lower operational overhead for network operations staff previously context-switching between platforms

How progress is measured

  • Mean time to detect (MTTD) network incidents
  • Mean time to resolve (MTTR) network incidents
  • Deployment frequency for network service changes
  • Configuration drift incidents between clouds
  • Availability / service level attainment across network functions
  • Operational cost per workload across AWS/Azure

Security and compliance considerations

We do not certify or audit. Decisions on compliance remain with your organization.

The service and industry pages behind this scenario, and other scenarios like it.

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