Description

This curriculum spans the technical and operational breadth of cloud adoption in large-scale software organisations, comparable in scope to a multi-workshop architecture immersion or an internal cloud centre of excellence program.

Module 1: Cloud Infrastructure Selection and Sizing

Selecting between on-demand, reserved, and spot instances based on workload predictability and cost tolerance.
Right-sizing virtual machine configurations by analyzing CPU, memory, and I/O utilization patterns from production telemetry.
Evaluating regional versus availability zone placement for compliance, latency, and fault isolation requirements.
Implementing storage tiering strategies using object, block, and file storage based on access frequency and durability needs.
Designing network topology with VPCs, subnets, and routing tables to support multi-tier application architectures.
Assessing egress costs and data transfer implications when integrating with third-party SaaS platforms.

Module 2: Cloud-Native Application Architecture

Decomposing monolithic applications into microservices with bounded contexts and independent deployment pipelines.
Choosing between serverless functions and containerized services based on cold start sensitivity and execution duration.
Implementing circuit breakers and retry policies in inter-service communication to handle transient failures.
Designing stateless services with externalized session storage to support horizontal scaling.
Integrating service mesh components for observability, mTLS, and traffic control in multi-service environments.
Managing configuration drift by externalizing environment-specific settings into centralized configuration stores.

Module 3: Identity, Access, and Security Governance

Enforcing least-privilege access using IAM roles and policies tied to service identities rather than long-lived credentials.
Implementing multi-factor authentication and conditional access policies for administrative console access.
Rotating secrets and API keys using automated secret management tools integrated into deployment workflows.
Configuring audit logging and monitoring for unauthorized access attempts across cloud resources.
Applying security group and network ACL rules to restrict inter-service communication to required ports and protocols.
Managing cross-account access for shared services using role assumption and organizational units.

Module 4: Data Management and Persistence in the Cloud

Selecting managed database services based on consistency, scalability, and operational overhead trade-offs.
Designing backup and point-in-time recovery strategies for databases with regulatory retention requirements.
Implementing read replicas and sharding to handle high-read and high-write workloads.
Encrypting data at rest and in transit using customer-managed or cloud provider key management systems.
Handling data residency and sovereignty by restricting storage and processing to approved geographic regions.
Migrating large datasets between cloud environments using offline transfer appliances or optimized bulk services.

Module 5: CI/CD and DevOps Automation

Designing immutable infrastructure pipelines that rebuild and redeploy artifacts instead of in-place updates.
Integrating security scanning tools into CI pipelines to detect vulnerabilities before deployment.
Implementing blue-green or canary deployments with automated rollback triggers based on health metrics.
Managing infrastructure as code using version-controlled templates with peer review and drift detection.
Orchestrating cross-environment promotions with manual approval gates for production changes.
Enforcing pipeline concurrency limits to prevent resource contention during parallel deployments.

Module 6: Monitoring, Observability, and Incident Response

Instrumenting applications with structured logging and distributed tracing to diagnose latency bottlenecks.
Defining service level objectives and error budgets to guide incident prioritization and release pacing.
Configuring alerting thresholds to minimize noise while ensuring critical failures trigger immediate response.
Correlating metrics, logs, and traces across services to identify root causes during outages.
Simulating failure scenarios using chaos engineering to validate system resilience.
Integrating monitoring data with incident management platforms for escalation and post-mortem tracking.

Module 7: Cost Management and Resource Optimization

Tagging resources with cost centers, environments, and owners to enable granular chargeback reporting.
Identifying underutilized instances and idle resources using cloud-native cost analysis tools.
Negotiating enterprise discount plans after establishing baseline usage and forecasting growth.
Implementing auto-scaling policies that balance performance SLAs with cost efficiency.
Archiving cold data to lower-cost storage tiers with retrieval time trade-offs.
Conducting regular cost reviews with engineering teams to align spending with business value.

Module 8: Hybrid and Multi-Cloud Integration Patterns

Establishing secure, low-latency connectivity between on-premises data centers and cloud VPCs using dedicated links.
Synchronizing identity directories across cloud and on-premises environments using federation protocols.
Designing data replication strategies for hybrid databases with conflict resolution mechanisms.
Standardizing deployment tooling across multiple cloud providers to reduce operational complexity.
Managing vendor lock-in risks by abstracting cloud-specific services behind façade interfaces.
Enforcing consistent security policies across cloud environments using centralized policy-as-code frameworks.

Cloud Computing in Application Development