Description
- Azure Cloud Solution Architect Features Basics to Advanced
- Role overview: Design secure, scalable cloud and hybrid solutions on Azure covering compute, network, storage, monitoring, and security.
- Requirements gathering: Translate business needs into architecture decisions and measurable success criteria.
- Identity and access: Implement Azure AD, RBAC, managed identities, and conditional access for least‑privilege access.
- Networking: Design VNETs, subnets, peering, ExpressRoute, VPNs, and network security groups for isolation and connectivity.
- Compute strategy: Choose between VMs, scale sets, App Services, AKS, and serverless (Functions) based on SLAs and cost.
- Storage and data: Architect for Blob/ADLS, SQL/Managed Instances, Cosmos DB, and tiering for performance and cost.
- Resiliency and HA: Define availability zones, region pairs, failover strategies, and disaster recovery plans.
- Security and compliance: Apply encryption, key vaults, policy enforcement, and compliance mapping for regulations.
- Observability: Instrument with Azure Monitor, Log Analytics, Application Insights, and alerting for SRE practices.
- Cost optimization: Use reserved instances, autoscaling, right‑sizing, and cost governance to control spend.
- Data platform design: Integrate Synapse, Databricks, Data Factory, and lakehouse patterns for analytics workloads.
- DevOps and automation: Implement IaC (ARM/Bicep/Terraform), CI/CD pipelines, and GitOps for repeatable deployments.
- Performance and scalability: Design for partitioning, caching, CDN, and autoscaling to meet throughput and latency targets.
- Governance and landing zones: Apply Azure Well‑Architected and Cloud Adoption Framework patterns for enterprise readiness.
- Advanced topics: Architect for ML/AI integration, edge computing, hybrid identity, and multi‑cloud interoperability.
- Career and certification path: Prepare via role‑based learning and AZ‑305/Azure Solutions Architect Expert certification for validation.
