Cloud workloads don’t keep office hours. A follow-the-sun model hands work between regional teams as each business day ends, so operations run around the clock without permanent night shifts. This post covers how to build such a team, the tools that support it, and the EU regulatory constraints to settle first.
What is follow-the-sun cloud managed services?
Follow-the-sun is an operational model where work is handed off between geographically distributed teams as the business day ends in one location and begins in another. For cloud managed services, this means:
- Continuous cloud operations: AWS, Azure or Google Cloud environments get 24/7 monitoring, incident response and optimization without night shifts in a single location.
- Planned handoffs: operations pass from the Americas to APAC, then to EMEA, and back again.
- Specialized expertise: each regional team builds depth in specific cloud services while working to shared service standards.
Why build follow-the-sun cloud teams?
Cost efficiency
- Avoid night-shift premiums and overtime
- Hire in lower-cost locations without lowering the quality bar
- Share tooling, runbooks and platforms across hubs
Service quality
- Alert engineers working during their own business hours
- Faster incident response, because the on-duty team is already at work
- Customer communication in local languages and time zones
Business continuity
- Fewer single points of failure in people and locations
- An outage, public holiday or local disruption at one hub doesn’t stop operations
- Regulated workloads can be assigned to a hub in the jurisdiction the customer requires
How to build your follow-the-sun cloud managed services team
1. Define your service scope and standards
Define exactly what every location will deliver. Core services usually include:
- Infrastructure monitoring and alerting
- Incident response and resolution
- Performance optimization
- Security monitoring and compliance
- Backup and disaster recovery management
- Cost optimization and reporting
Service level agreements (SLAs) must be the same whichever hub is on duty:
- Response times for each severity level
- Resolution time targets
- Escalation procedures
- Communication protocols
2. Choose your geographic distribution
Select locations based on:
- Time zone coverage: as a rough planning range, three hubs about eight hours apart, each covering an eight-hour shift, with one to two hours of overlap for handoffs
- Talent availability: a strong pool of cloud engineers
- Cost: a balance between expertise and operating cost
- Regulatory requirements: data protection, sector rules and sovereignty commitments
Typical hub options:
- Americas: US East or West Coast, Costa Rica, or Brazil
- EMEA: Poland, Portugal, Spain or the UK
- APAC: India, Singapore, the Philippines or Australia
For EU customers, check these constraints before you place hubs outside the EEA:
- GDPR: the EDPB treats remote access to EU personal data from a third country by a provider’s staff as a transfer that needs a Chapter V transfer mechanism (GDPR guide).
- DORA (the EU Digital Operational Resilience Act): financial entities’ ICT contracts must name the countries where services are delivered and data processed (DORA guide).
- NIS2: your operations team is part of the customer’s supply chain security scope (NIS2 guide).
- Sovereignty: some workloads require EU-resident operators, the model behind the AWS European Sovereign Cloud (opened January 2026). Plan EU-only shifts for those.
3. Establish team structure and roles
| Tier | Focus | Typical work |
|---|---|---|
| Tier 1 | Monitoring and initial response | 24/7 dashboards, triage, basic remediation, escalation to specialists |
| Tier 2 | Technical specialists | Platform expertise, complex incidents, performance tuning, security remediation |
| Tier 3 | Architectural support | Design decisions, major incident command, customer escalations |
4. Implement standardized processes
Give every hub the same process vocabulary, such as the ITIL 4 incident management, problem management and change enablement practices.
- Handoff procedures: a standard handoff note or call, clear status on open incidents, and a priority queue with named owners
- Knowledge management: central documentation and runbooks, knowledge-sharing sessions and cross-training between regions
- Quality assurance: standard metrics and KPIs, regular process audits and customer satisfaction tracking
5. Integrate culture and communication
- Shared culture: common training and certifications, all-hands meetings at rotating times, and shared success metrics and incentives
- Communication protocols: protected overlap hours, clear norms for asynchronous work, and cultural awareness training
Essential tools and technologies
Cloud management platforms
Multi-cloud management:
- VMware Tanzu CloudHealth (Broadcom, formerly CloudHealth by VMware): cost optimization and governance across clouds
- Flexera One: cloud cost management and optimization
- Morpheus (part of HPE since 2024): unified cloud management and orchestration
Native cloud tools:
- AWS: Amazon CloudWatch, AWS Systems Manager, AWS Config, AWS Cost Explorer
- Azure: Azure Monitor, Azure Update Manager, Microsoft Cost Management, Microsoft Defender for Cloud, Azure Arc, and Azure Lighthouse for working in delegated customer tenants with just-in-time access and a full audit trail
- Google Cloud: Google Cloud Observability, Cloud Asset Inventory, Cloud Billing
Monitoring and observability
Infrastructure monitoring:
- Datadog: broad monitoring with shared global dashboards
- New Relic: application and infrastructure performance monitoring
- Splunk: log analysis and security monitoring
- Prometheus and Grafana: open-source monitoring stack
Alerting and incident management:
- PagerDuty: incident management and on-call scheduling
- Jira Service Management: Atlassian’s replacement for Opsgenie, which reaches end of support on April 5, 2027
- ServiceNow: IT service management with global workflows
Automation and orchestration
Infrastructure as code:
- Terraform: multi-cloud infrastructure provisioning
- AWS CloudFormation: AWS-native infrastructure automation
- Bicep and ARM templates: Azure Resource Manager deployments
- Google Cloud Infrastructure Manager: Terraform-based; replaces Cloud Deployment Manager, which reached end of support on March 31, 2026
Configuration management:
- Ansible: agentless automation
- Chef: infrastructure automation with versioned cookbooks
- Puppet: declarative configuration management
Communication and collaboration
- Team communication: Slack, Microsoft Teams, or self-hosted Mattermost
- Documentation: Confluence, Notion, or GitLab and GitHub wikis
- Handoff management: shared status dashboards, shared calendars for overlap planning, and regular video calls
Security and compliance
Security monitoring:
- Amazon GuardDuty: threat detection for AWS environments
- Microsoft Sentinel: cloud-native SIEM, moving to the Microsoft Defender portal (Azure portal support ends after March 31, 2027)
- Google Security Command Center: security and risk management for Google Cloud
Compliance management:
- AWS Config: compliance monitoring and remediation
- Azure Policy: governance and compliance automation
- Cortex Cloud (Palo Alto Networks, successor to Prisma Cloud since February 2025): multi-cloud security and compliance
Overcoming common challenges
Communication barriers
Language and cultural differences can erode service quality. What helps:
- Language training and cultural exchange programs
- Standard technical terminology and communication protocols
- Peer mentoring across regions
Knowledge silos
Region-specific expertise doesn’t reach the other hubs. What helps:
- Mandatory cross-training rotations
- Global centers of excellence for specific technologies
- Knowledge-sharing sessions during overlap hours
Inconsistent service delivery
Quality and approach drift apart between regions. What helps:
- Complete standard operating procedures
- Regular quality audits and feedback loops
- Shared metrics and performance dashboards
- Cross-regional peer reviews
Technology integration
Not every team has the same tools and information. What helps:
- Cloud-based tools accessible from every hub
- Standardized development and staging environments
- Global configuration management and version control
Measuring success
- Operational excellence: mean time to resolution (MTTR), first-contact resolution rate, SLA attainment, availability, and incidents reopened after a handoff
- Customer satisfaction: CSAT, Net Promoter Score (NPS), escalation rates and response times
- Business impact: savings from optimization, infrastructure efficiency, fewer security incidents and compliance audit results
Where to start
Start with a pilot covering a few critical systems, prove that handoffs and SLAs hold across all hubs, then expand scope and coverage. For EU customers, settle the GDPR, DORA, NIS2 and sovereignty questions before choosing hub locations.
Treat the model as an operating capability, not just a cost lever: standardized processes, shared tooling and cross-training keep round-the-clock operations consistent as your estate grows.
Sources
- What is Azure Lighthouse? – Microsoft Learn
- Microsoft Sentinel in the Microsoft Defender portal – Microsoft Learn
- Opsgenie migration to Jira Service Management – Atlassian
- Cloud Deployment Manager deprecations – Google Cloud
- Palo Alto Networks introduces Cortex Cloud – Palo Alto Networks
- Guidelines 05/2021 on the interplay between Article 3 and Chapter V of the GDPR – EDPB
- Regulation (EU) 2022/2554 (DORA) – EUR-Lex
- Opening the AWS European Sovereign Cloud – AWS News Blog
Last reviewed: October 2026.

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