Description

This curriculum spans the technical and operational complexity of a multi-phase infrastructure rollout, covering the same scope of decision-making required to design, secure, and tune a global content delivery network across distributed edge environments.

Module 1: Network Topology and Edge Infrastructure Design

Selecting Points of Presence (PoPs) based on latency measurements, peering agreements, and regional traffic volume to minimize round-trip time for end users.
Deciding between deploying dedicated hardware versus virtualized edge nodes based on scalability requirements and operational overhead.
Implementing BGP anycast routing to direct users to the nearest available PoP while managing route propagation delays and blackholing risks.
Designing internal backbone capacity between PoPs to handle failover scenarios without congestion during regional outages.
Integrating IX (Internet Exchange) peering to reduce upstream bandwidth costs and improve interconnection performance with major eyeball networks.
Assessing cache node placement density in urban versus rural areas to balance cost efficiency with service-level performance targets.

Module 2: Caching Strategy and Content Placement

Configuring TTL policies per content type (e.g., HTML vs. video segments) based on update frequency and cache hit rate objectives.
Implementing cache key normalization rules to prevent duplication from query string variations and user-agent inconsistencies.
Deploying proactive content preloading for anticipated traffic spikes (e.g., live event streaming) using predictive scheduling.
Managing stale-while-revalidate and stale-if-error policies to maintain availability during origin fetch failures.
Designing hierarchical cache layers (edge, mid-tier, origin shield) to reduce origin load while minimizing cache coherence complexity.
Evaluating object size thresholds for storage in memory versus disk-based caching systems based on access patterns and hardware constraints.

Module 4: Load Balancing and Traffic Steering

Configuring DNS-based global load balancing with health checks and latency-based routing to steer traffic to optimal PoPs.
Implementing session persistence mechanisms for stateful applications without undermining cache efficiency across edge nodes.
Adjusting load balancer weights dynamically based on real-time CPU, memory, and cache hit rate telemetry from edge servers.
Integrating Anycast with unicast failover paths to maintain service continuity during BGP route withdrawals or DDoS mitigation events.
Using client subnet (edns-client-subnet) in DNS responses to improve geolocation accuracy without violating privacy policies.
Managing traffic shedding policies during overload conditions by prioritizing critical content types or enterprise SLA tiers.

Module 5: Security and DDoS Resilience in Traffic Delivery

Deploying rate limiting at the edge based on IP, ASN, or API key to mitigate volumetric and application-layer attacks.
Configuring WAF rules in front of origin servers while ensuring false positives do not degrade legitimate user experience.
Implementing TLS 1.3 with session resumption and OCSP stapling to reduce handshake latency without compromising security.
Integrating DDoS mitigation services with real-time traffic scrubbing and automated failover to protected endpoints.
Validating SNI-based virtual hosting configurations to prevent cross-tenant exposure in multi-customer edge deployments.
Enforcing cacheability rules for authenticated content to prevent accidental leakage of private data through shared caches.

Module 6: Monitoring, Analytics, and Performance Tuning

Instrumenting edge nodes with distributed tracing to identify latency bottlenecks across DNS, TLS, and cache lookup stages.
Aggregating and analyzing cache hit ratio by content type, geography, and time window to refine TTL and preloading strategies.
Setting up anomaly detection on traffic patterns to identify misconfigurations, scraping activity, or emerging DDoS attacks.
Correlating origin fetch logs with edge logs to isolate performance issues originating from upstream dependencies.
Generating synthetic transaction tests from multiple vantage points to validate regional service availability and response times.
Optimizing log sampling rates to balance observability depth with storage and processing costs in high-volume environments.

Module 7: Multi-CDN Orchestration and Vendor Management

Designing traffic split logic across multiple CDN providers based on real-time performance, cost per gigabyte, and regional strength.
Implementing DNS-based failover between CDNs with health probes and automated decision thresholds to reduce manual intervention.
Negotiating peering and transit agreements with secondary CDN providers to ensure fallback capacity during primary outages.
Standardizing metrics collection and alerting formats across heterogeneous CDN APIs for unified monitoring.
Evaluating vendor-specific features (e.g., image optimization, video ad insertion) when determining content routing policies.
Managing certificate distribution and renewal workflows across multiple CDN control planes to avoid service interruptions.

Module 8: Compliance, Data Residency, and Legal Constraints

Enforcing data residency rules by restricting cache storage and processing to jurisdictions defined by GDPR, CCPA, or industry regulations.
Configuring logging and audit trails to meet compliance requirements without storing personally identifiable information at edge nodes.
Implementing content filtering policies to comply with local censorship laws while minimizing impact on global delivery performance.
Managing cross-border data transfer mechanisms (e.g., SCCs) for telemetry and log aggregation across international PoPs.
Validating third-party content (e.g., ads, widgets) for compliance with regional privacy laws before allowing edge caching.
Designing incident response workflows that include legal and regulatory reporting obligations during data exposure events.