Hybrid Cloud: Networking, Storage and Data Management

In this module, you will explore cloud storage models at an advanced level. You'll be able to compare the trade-offs for object, block, and file storage, not just in theory, but through their latency, durability, and throughput. You'll learn how to control costs and enhance performance using optimization strategies, including caching, tiering, and lifecycle policies. You'll also examine replication patterns, including synchronous versus asynchronous, and geo-distribution approaches across multiple providers. Then apply what you know when you complete a role-play analysis that requires classifying and mapping workloads to the correct storage model.

In this module, you'll focus on advanced data management and business continuity strategies in hybrid and multicloud environments. You'll gain actionable insights into how to apply disaster recovery architectures with clear Recovery Point Objective (RPO) and Recovery Time Objective (RTO) targets, implement high availability for SQL and NoSQL databases, and apply lifecycle policies for compliance, archiving, and sustainability. You'll also practice analyzing database scaling strategies, identifying hybrid cloud architecture issues, and recommending configurations for tiered Storage that adhere to compliance policies.

In this module, you will integrate all the skills you've developed in the course to design a resilient, cost-optimized hybrid cloud architecture. You'll apply advanced networking, storage optimization, and business continuity strategies to a realistic case study. The project requires diagnosing performance and resilience challenges, selecting the right trade-offs, and justifying your design decisions. This module emphasizes practical application of your knowledge and demonstrates your ability to diagnose shortcomings, recommend solutions, and justify their use as a hybrid cloud architect would in a professional setting.