Implementing Failover Clustering and Storage Spaces Direct in Windows Server 2019
Learn Windows Server 2019 failover clustering & Storage Spaces Direct. Master design, configuration, and management for high availability and storage solutions.
Course Content
Implementing Failover Clustering and Storage Spaces Direct in Windows Server 2019 is an intermediate-level Pluralsight course taught by Greg Shields. It runs 4h 40m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 23 reviews. It is a paid course, first published November 2019.
Unlock High Availability in Windows Server 2019: A Comprehensive Guide
Discover how to implement robust high availability (HA) solutions with Windows Server 2019. This course delves into the latest advancements from Microsoft, going beyond just Hyper-V workloads to cover a wide range of applications.
You'll gain hands-on experience with key technologies, including:
- Failover Clustering: Learn to build and manage traditional failover clusters in Windows Server 2019. We'll start with a single-site cluster and then extend it for disaster recovery to a second site, ensuring business continuity.
- Storage Spaces Direct (S2D): Explore Microsoft's hyperconverged infrastructure (HCI) with Storage Spaces Direct. Build a cluster leveraging S2D for enhanced resilience and performance.
- Network Load Balancing (NLB): Understand and utilize Network Load Balancing, a mature technology for distributing network traffic and improving application availability.
This course provides practical skills to implement high availability for numerous services within your datacenter. Master the techniques to minimize downtime and ensure your critical applications remain operational. Learn how Failover Clustering has evolved in recent Windows Server releases to provide a reliable and scalable HA solution. Gain expertise in building resilient infrastructure with Storage Spaces Direct and leveraging established technologies like Network Load Balancing for a comprehensive approach to server availability.
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