Nutanix NCSE-Core - Nutanix Certified Systems Engineer-Core (NCSE-Core 6.8)

X-rayis a performance testing tool designed by Nutanix to simulate real-world application workloads and provide detailed performance metrics. It can effectively demonstrate the performance of Microsoft SQL Server on Nutanix compared to the existing infrastructure.

Xtractsimplifies the migration process by automating the migration of workloads from existing infrastructure to Nutanix, reducing the effort and time required for the POC.

By using these tools, the SE can provide the customer with comprehensive performance data without the need for a lengthy POC, thereby addressing their concerns more efficiently.

Understanding the Context:

The project to migrate to the public cloud was largely unsuccessful, indicating underlying issues that need to be identified.

Effective Open-Ended Questions:

What challenges triggered the public cloud initiative?:

Explanation: This question helps understand the initial pain points and motivations for the migration attempt, providing insight into what problems the company was trying to solve.

C. ABS (Acropolis Block Services):

Nutanix ABS (Acropolis Block Services) provides the ability to use Nutanix storage with external servers while leveraging the benefits of Nutanix’s distributed storage fabric.

This feature is particularly beneficial for Oracle environments where the organization has invested significantly in servers to save on licensing costs. ABS allows these existing servers to utilize Nutanix's all-flash storage without moving workloads entirely onto Nutanix nodes.

ABS can provide high performance and low latency storage which is critical for Oracle databases and helps address the customer's preference for all-flash arrays.

Understanding the Application Requirements:

The application is very transactional with a 28/72 random, read/write ratio. This indicates a high write intensity, which necessitates optimized storage configurations to handle the I/O load efficiently.

Add Multiple Virtual Disks:

Option B: Add a minimum of four virtual disks to each VM and aggregate them on guest OS level:

By adding multiple virtual disks and aggregating them within the guest OS, the I/O operations can be spread across multiple disks. This can significantly improve I/O performance by leveraging parallelism and reducing I/O contention on a single disk.

This approach also helps in better utilizing the underlying storage infrastructure, which can include multiple SSDs and HDDs managed by Nutanix Distributed Storage Fabric (DSF)​​.

Analysis of Other Options:

Option A: Add one large SSD to each node and enable Flash Mode for the VMs:

Adding a single large SSD may not fully leverage the parallel I/O capabilities needed for high transactional workloads.

Option C: Add a minimum of four SSDs to each node to ensure all writes go to the SSDs:

While this improves performance, it focuses on node-level configuration rather than optimizing VM-level disk I/O distribution.

Option D: Add one large virtual disk to each VM and use it for all application data:

This creates a bottleneck as all I/O operations are directed to a single virtual disk, limiting performance improvements.

Conclusion:

For optimal performance of a highly transactional application with a high write ratio, adding multiple virtual disks and aggregating them within the guest OS is the most effective solution.

References: Nutanix best practices for VM and storage configuration.

To accurately size resources for VMs, certain VMs require further data analysis. Specifically, VMs with varying or unpredictable workloads, or those that have shown performance issues in the past, should be analyzed in more detail.

VM Analysis Criteria:

prodsrv02: If this VM has variable workload patterns or is known to run resource-intensive applications periodically, it requires detailed analysis to ensure that the resources allocated can handle peak loads without performance degradation.

prodsrv06: Similarly, if this VM has been identified to have inconsistent performance or varying resource utilization, further analysis is necessary to properly size the resources to meet its demands.

Data Collection:

Performance metrics such as CPU, memory, disk I/O, and network usage should be collected over a representative period to understand the peak and average resource requirements.

Sizing Tools:

Tools like Nutanix Sizer and Nutanix Collector can be used to gather detailed performance data and provide recommendations based on real usage patterns.

References:

Nutanix Sizing and Performance Best Practices.

Detailed Analysis Methods in Nutanix Documentation.

When an HDD fails, Nutanix's high availability (HA) system ensures the continuation of VM operations by initiating an HA event. The affected VMs will be restarted on a node that contains the replica data, ensuring minimal downtime and data availability​​.

Qualifying a POC (Proof of Concept):

The initial goal is to understand the specific requirements and expectations of the prospect.

This helps in designing a relevant and focused POC that addresses the prospect's needs directly.

Reason for Asking About Evaluation Plans:

Identifying the specific aspects of Nutanix they wish to test ensures the POC is relevant.

It allows tailoring the demo environment to closely match their production environment or test scenarios.

This question also uncovers the prospect's priorities, such as performance, ease of use, scalability, etc.

Alternative Questions:

Other Solutions: This might come later to understand the competitive landscape but does not help in designing the POC.

Project Budget: Important for project feasibility but not immediately necessary for qualifying the need for a POC.

Splunk Version: Relevant for technical compatibility but not for initial qualification.

References:

Nutanix presales best practices and qualification guidelines.

ï‚·Current Configuration:

The customer has a 3-node cluster configured for RF2 with 100TB of raw disk space.

ï‚·Erasure Coding Requirements:

Erasure Coding (EC-X) improves storage efficiency by using a parity-based method to store data.

For EC-X to be enabled, a minimum of 4 nodes is required in the cluster.

ï‚·Explanation:

RF2 (Replication Factor 2): Requires data to be replicated across at least two nodes.

Erasure Coding: Requires additional nodes beyond the replication factor to store parity information. In this case, a minimum of 4 nodes is needed to implement EC-X.

ï‚·Required Change:

Add 1 Node: Adding one more node to the existing 3-node cluster will meet the minimum requirement of 4 nodes, allowing the customer to enable Erasure Coding.

ï‚·Outcome:

By adding an additional node, the cluster will be able to utilize Erasure Coding, thereby gaining additional usable space.

When selecting a remote site to Prism, the valid targets include:

XI Cloud Services: This allows integration with Nutanix's cloud services for remote management and disaster recovery.

Physical Cluster: This option enables management and failover to another physical Nutanix cluster, ensuring high availability and business continuity​​.