Global Deployment and Scaling

4 hours
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0/8 lessons
8 modules

Deploy AI applications globally with proper scaling, localization, and resilience — infrastructure, networking, and operational best practices.

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0/8 lessons completed
240 min
1

Global infrastructure

Design multi-region topologies, region selection, and data residency trade-offs.

30 min
2

CDN configuration

Use CDNs for static assets, edge caching strategies, and cache invalidation patterns.

25 min
3

Load balancing

Global & regional load balancing, health checks, and session affinity considerations.

35 min
4

Auto-scaling

Autoscaling policies for CPU/GPU workloads, warm pools, and scaling on custom signals.

40 min
5

Multi-region deployments

Deployment strategies for multi-region apps: active-active, active-passive, and data replication.

30 min
6

Data residency & localization

Compliance, localization, latency vs. sovereignty trade-offs, and data partitioning.

25 min
7

Observability & SLOs

Global monitoring, synthetic tests, SLOs per region, and alerting strategies.

30 min
8

Disaster recovery & failover

DR planning, RTO/RPO objectives, failover testing, and runbooks for outages.

25 min
Includes practical examples, deployment checklists, and runbook templates for global operations.

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