NCP-MCI-6.5 Analyze and Remediate Performance Issues

Analyze and Remediate Performance Issues Detailed Explanation

Performance analysis and remediation are critical tasks in managing a Nutanix cluster. When performance issues occur, they can impact workloads, user experience, and application availability. This section will teach you how to analyze performance metrics, diagnose bottlenecks, and resolve issues in a Nutanix environment using tools like Prism Dashboard and advanced remediation techniques.

4.1 Performance Analysis Tools

To analyze performance, Nutanix provides tools such as Prism Element and Prism Pro. These tools help you monitor real-time metrics and detect performance anomalies to pinpoint the root cause of issues.

Prism Performance Dashboard

The Prism Performance Dashboard is the main tool used for monitoring real-time performance metrics in your Nutanix cluster. It provides a visual representation of resource usage and identifies potential issues.

Overview of Key Features

1. Real-Time Performance Metrics:

   • Displays the health and usage of cluster resources, including CPU, memory, storage, and network metrics.

2. Key Metrics to Monitor:

   • IOPS (Input/Output Operations Per Second):

     • IOPS measures the number of read/write operations per second.
     • High IOPS means high-performing storage, but excessive IOPS can signal contention.

   • Latency:

     • Latency measures the time taken to complete read/write operations (measured in milliseconds).
     • High latency indicates delays in data access and may require optimization.

   • Throughput:

     • Throughput refers to the rate at which data is transferred (measured in MB/s or GB/s).
     • Low throughput can indicate network or storage bottlenecks.

3. Resource Heatmap:

   • The heatmap highlights nodes or VMs with:
     • High CPU or memory usage.
     • Underutilized resources (inefficient resource allocation).
   • It helps you quickly identify overloaded or underutilized nodes and virtual machines.

How to Use Prism Performance Dashboard

1. Access Prism Element:

   • Log into Prism Element or Prism Central.
   • Navigate to Dashboard → Performance.

2. View Performance Summary:

   • Review overall resource usage for the cluster:
     • CPU Usage (%)
     • Memory Usage (%)
     • Storage IOPS, latency, and throughput
     • Network traffic (in Mbps)

3. Drill Down into Nodes or VMs:

   • Select a specific Node or VM to see detailed performance metrics.

4. Identify Bottlenecks:

   • Look for:
     • High CPU/Memory utilization.
     • High storage latency.
     • Network spikes or traffic drops.

5. Take Action:

   • If you see a problem, note which resource (CPU, memory, storage, or network) is causing the issue.
   • This will help you take the appropriate remediation steps later.

Prism Pro (Predictive Analysis)

Prism Pro is an advanced version of Prism that uses machine learning (ML) and predictive analytics to detect anomalies and recommend optimizations. It is ideal for proactively managing performance issues before they impact workloads.

Key Features of Prism Pro

1. Anomaly Detection:

   • Prism Pro uses machine learning to analyze performance trends.
   • It flags unusual patterns in resource usage (e.g., sudden spikes in CPU, memory, or storage latency).

2. Performance Recommendations:

   • Provides actionable recommendations to optimize resources.
   • Examples:
     • “Increase vCPU for VM X to reduce CPU contention.”
     • “Migrate VM Y to Node 2 for better resource distribution.”

3. Forecasting:

   • Predicts future resource consumption (e.g., CPU, memory, storage growth).
   • Helps you plan for scaling up or scaling out.

How to Use Prism Pro

1. Access Prism Central:

   • Navigate to Insights → Performance Analysis.

2. Review Anomaly Reports:

   • View any flagged anomalies and trends.
   • Example: “Node 3 is showing high memory usage due to VM Z.”

3. View Recommendations:

   • Go to the Recommendations section for actionable suggestions.

4. Plan Scaling:

   • Use the Forecast tool to predict when you’ll need to add more resources.

Summary of Performance Analysis Tools

Tool	Purpose	Key Metrics
Prism Dashboard	Monitor real-time performance of nodes and VMs.	IOPS, Latency, Throughput, Heatmaps
Prism Pro	Analyze trends, detect anomalies, and recommend fixes.	Anomalies, Recommendations, Forecasting

4.2 Diagnosing Performance Bottlenecks

Diagnosing performance bottlenecks is a critical step in resolving slowdowns or resource contention in a Nutanix cluster. Performance bottlenecks can occur in CPU, memory, storage, or network resources. In this section, we will analyze each type of bottleneck, its symptoms, and step-by-step remediation strategies.

4.2.1 CPU and Memory Bottlenecks

What are CPU and Memory Bottlenecks?

CPU and memory bottlenecks occur when virtual machines (VMs) or nodes do not have enough resources (vCPUs or memory) to perform their tasks. This causes slow application performance, delays, or even VM freezes.

Symptoms of CPU Bottlenecks

1. High CPU Usage:

   • Consistently high CPU utilization (e.g., above 90%).
   • VMs show high “Ready Time,” indicating they are waiting for CPU resources.

2. Application Slowness:

   • Applications running on VMs experience slow responses or lag.

3. VM Freezes:

   • VMs freeze intermittently because the hypervisor cannot allocate CPU resources.

Symptoms of Memory Bottlenecks

1. High Memory Usage:

   • Memory utilization is consistently high (e.g., above 90%).
   • VMs swap memory to disk, causing performance degradation.

2. Slow VM Performance:

   • Applications slow down due to memory contention.

3. Page Faults:

   • Excessive page faults occur when VMs are forced to use disk storage instead of physical memory.

How to Diagnose CPU and Memory Bottlenecks

1. Monitor CPU and Memory Usage in Prism:

   • Go to Prism Dashboard → Performance.
   • Look for:
     • CPU usage trends.
     • Memory usage trends.

2. Drill Down into Specific VMs:

   • Identify VMs with high CPU or memory usage.
   • Check the vCPU Ready Time (CPU contention) and memory swap rates.

3. Use Heatmaps:

   • Use the Resource Heatmap to identify over-utilized nodes or VMs.

4. Review Alerts:

   • Look for system alerts related to CPU or memory contention.

Steps to Remediate CPU Bottlenecks

1. Increase vCPU Allocation:

   • Add more vCPUs to VMs that are experiencing CPU contention.
   • Steps:
     • Go to Prism → VM settings.
     • Edit the VM configuration and increase the number of vCPUs.

2. Balance VMs Across Nodes:

   • If a node is overloaded, migrate VMs to less-loaded nodes using VM Placement in Prism.
   • Steps:
     • Go to Prism → VM → Migrate.
     • Select a node with lower CPU usage.

3. Review Over-Provisioning:

   • Avoid over-provisioning vCPUs (assigning more vCPUs than physical cores available).

4. Optimize Applications:

   • Identify CPU-intensive applications and optimize them (e.g., reduce resource usage, split workloads).

Steps to Remediate Memory Bottlenecks

1. Increase Memory Allocation:

   • Add more memory (vRAM) to the affected VMs.
   • Steps:
     • Go to Prism → VM Settings.
     • Increase the Memory (GB) allocated to the VM.

2. Enable Memory Ballooning:

   • AHV (Acropolis Hypervisor) supports memory ballooning to reclaim unused memory from idle VMs.
   • This can improve memory availability for VMs experiencing contention.

3. Balance Memory Usage:

   • Migrate VMs to less-loaded nodes to reduce memory contention.

4. Identify and Optimize Applications:

   • Identify memory-hungry applications or processes and optimize them.

Example Scenario: CPU and Memory Bottleneck

Problem:

• VM1 running on Node A is experiencing high CPU usage (above 90%), and the application is responding slowly.

Steps to Resolve:

1. Go to Prism → Dashboard → Performance.
2. Identify the high CPU usage of VM1.
3. Increase the vCPU allocation for VM1:
   • Edit VM settings and increase from 2 vCPUs to 4 vCPUs.
4. If Node A is overloaded, migrate VM1 to Node B using VM Migration in Prism.
5. Monitor the performance after changes to ensure CPU usage is reduced.

4.2.2 Storage Bottlenecks

What are Storage Bottlenecks?

Storage bottlenecks occur when the performance of your storage system is impacted due to high latency, reduced IOPS, or unbalanced data placement. These bottlenecks can significantly slow down VM operations and applications.

Symptoms of Storage Bottlenecks

1. High Latency:

   • Storage latency exceeds acceptable thresholds (e.g., > 1 ms for SSDs).

2. Reduced IOPS:

   • Input/Output Operations Per Second (IOPS) are lower than expected.

3. Slow Application Response:

   • Applications experience delays when reading/writing data.

4. High Storage Usage:

   • Storage pools or containers are near capacity, impacting performance.

How to Diagnose Storage Bottlenecks

1. Monitor Storage Performance in Prism:

   • Go to Prism → Storage → Performance.
   • Look at the following metrics:
     • IOPS (Read/Write Operations).
     • Latency (Read/Write Latency).
     • Throughput (Data Transfer Rate).

2. Identify Problematic VMs:

   • Use the Heatmap to identify VMs or nodes with high storage latency.

3. Check Storage Policies:

   • Ensure storage policies (compression, deduplication, erasure coding) are optimized for the workload.

4. Review Alerts:

   • Look for alerts indicating high storage utilization or failures.

Steps to Remediate Storage Bottlenecks

1. Enable Storage Tiering:

   • Nutanix automatically moves hot data (frequently accessed) to SSDs for better performance.
   • Ensure tiering is enabled in the storage configuration.

2. Optimize Storage Policies:

   • Review and adjust:
     • Compression: Use inline compression for workloads where performance allows.
     • Deduplication: Use deduplication for VMs with repetitive data.

3. Expand Storage Capacity:

   • If storage pools are near capacity, add more disks or nodes to the cluster.

4. Rebalance Storage:

   • Use Nutanix's automatic rebalancing to ensure even data distribution across nodes.

Example Scenario: Storage Bottleneck

Problem:

• VMs experience slow read/write performance due to high storage latency (> 2 ms).

Steps to Resolve:

1. Go to Prism → Storage → Performance.
2. Identify the storage container or VMs with high latency.
3. Enable storage tiering to move hot data to SSDs.
4. Optimize storage policies:
   • Enable compression or deduplication where applicable.
5. Monitor the latency after making changes.

4.2.3 Network Bottlenecks

Network bottlenecks occur when there is congestion, packet loss, or misconfiguration in the networking layer of the Nutanix cluster. These issues can affect VM communication, cluster performance, and application responsiveness.

Symptoms of Network Bottlenecks

1. Packet Loss:

   • Data packets are dropped during transmission, leading to unreliable communication.

2. Slow Network Traffic:

   • Applications experience delays or timeouts when transferring data.

3. High Latency:

   • Increased round-trip time for data packets indicates network congestion or misconfigurations.

4. Timeouts:

   • Applications or services fail due to timeouts in communication.

5. Unbalanced Network Traffic:

   • Traffic is unevenly distributed across network interfaces, leading to overloading on one NIC.

How to Diagnose Network Bottlenecks

To diagnose network issues, use tools like Prism, Open vSwitch (OVS) commands, and standard network diagnostics tools such as ping and traceroute.

Step 1: Monitor Network Performance in Prism

1. Access Network Dashboard:

   • Go to Prism → Network → Performance.

2. Check Key Metrics:

   • Network Throughput: Total amount of data sent/received (measured in Mbps or Gbps).
   • Network Latency: Time it takes for packets to travel from source to destination.
   • Error Counters: Look for dropped packets, errors, or retransmissions.

3. Review Heatmaps:

   • Identify nodes or VMs with high network usage or network-related alerts.

Step 2: Use Network Diagnostic Commands

1. Ping: Test basic connectivity and latency:

   ping <destination IP>
   

   • If packets are dropped or latency is unusually high, there may be congestion or a misconfiguration.

2. Traceroute: Identify where packet delays or drops occur along the network path:

   traceroute <destination IP>
   

3. Check Open vSwitch (OVS) Performance:
   Since AHV uses OVS, use the following commands to check the virtual switch status:

   • Show OVS Configuration:

     ovs-vsctl show
     

     • Verify virtual switch ports and VLANs.

   • Check Network Statistics:

     ovs-ofctl dump-ports br0
     

     Replace br0 with your bridge name to view real-time statistics like packet drops and errors.

4. Netstat: View active connections and statistics:

   netstat -s
   

Steps to Remediate Network Bottlenecks

Once you have identified the issue, apply the appropriate remediation strategy.

1. Check NIC Teaming and Bonding

NIC teaming aggregates multiple physical NICs to improve redundancy and performance.

1. Verify NIC Bonding Mode:

   • Use Active-Active for load balancing.
   • Use Active-Backup for redundancy.

2. Check Bonding Configuration:

   • Run the following command to check bonding:

     ovs-vsctl show
     

   • Verify that both physical NICs are active and contributing to the bond.

3. Reconfigure Bonding if Needed:

   • In Prism, navigate to Network Configuration and fix the bonding setup.

2. Optimize VLAN Configuration

• Ensure the correct VLAN IDs are assigned to vNICs and physical switch ports.

• Check for VLAN mismatches that might drop packets.

• Use ovs-vsctl to verify VLAN tagging:

  ovs-vsctl show
  

3. Use QoS (Quality of Service) to Prioritize Traffic

Quality of Service (QoS) ensures that critical workloads get priority over less important traffic.

1. Configure QoS Policies:

   • Go to Prism → Network Configuration.
   • Set minimum and maximum bandwidth limits for VM vNICs.
   • Example:
     • Database traffic → Minimum 500 Mbps.
     • File-sharing traffic → Maximum 100 Mbps.

2. Monitor QoS Policies:

   • Use Prism to verify that traffic prioritization is working correctly.

4. Address Packet Loss or Latency

1. Check Physical NIC Health:

   • Go to Prism → Hardware → NICs.
   • Verify that all NICs are healthy and active.

2. Replace Faulty Hardware:

   • If a NIC shows errors or packet drops, replace the faulty hardware.

3. Review Switch Configuration:

   • Ensure physical switches connected to Nutanix nodes are properly configured:
     • VLAN tagging.
     • Trunk ports.
     • MTU (Maximum Transmission Unit) settings for jumbo frames.

Example Scenario: Network Bottleneck

Problem:

• VMs are experiencing high latency and packet loss, causing slow application responses.

Steps to Resolve:

1. Verify Latency:

   • Run ping from VM to VM to measure round-trip latency.

2. Check Open vSwitch:

   • Use ovs-vsctl show to verify virtual switch configuration.

3. Check Bonding:

   • Ensure NIC bonding is in Active-Active mode for load balancing.

4. Adjust QoS Policies:

   • Prioritize bandwidth for critical workloads (e.g., database traffic).

5. Verify VLANs:

   • Ensure VLAN IDs match between VM vNICs and physical switch ports.

6. Replace Faulty Hardware:

   • If packet drops persist, replace the physical NIC or cables.

Summary of Diagnosing Network Bottlenecks

1. Identify Symptoms: High latency, packet loss, and slow traffic.
2. Use Tools: Prism Dashboard, ping, traceroute, and OVS commands.
3. Remediate:
   • Fix NIC bonding.
   • Optimize VLAN and QoS configurations.
   • Replace faulty hardware if needed.

4.3 Remediating Performance Issues

Once performance bottlenecks (CPU, memory, storage, or network) are diagnosed, you can take steps to remediate these issues effectively. Nutanix provides scalable options, workload balancing, and policy optimization tools to address and resolve performance challenges.

4.3.1 Add Resources: Scale Up or Scale Out

1. Scale Up (Vertical Scaling)

Scaling up involves increasing resources such as CPU, memory, or storage for individual VMs or nodes to meet performance demands.

Steps to Scale Up a Virtual Machine (VM):

1. Access VM Settings in Prism Element:

   • Navigate to Prism → VM → Select the VM.

2. Edit Resources:

   • Click “Edit” to increase:
     • vCPUs: Add more virtual CPUs for CPU-bound workloads.
     • Memory (vRAM): Increase the virtual memory allocated to the VM.

3. Save Changes:

   • Apply the new configuration. Some changes may require the VM to be restarted.

Example Use Case:

• If an application running on a VM requires more CPU power, increase the vCPUs from 2 to 4.
• If a database is consuming a lot of memory, increase the vRAM from 8 GB to 16 GB.

2. Scale Out (Horizontal Scaling)

Scaling out involves adding more nodes to the Nutanix cluster to increase total resources (compute, storage, and network capacity).

Steps to Add a Node to the Cluster:

1. Prepare the New Node:

   • Ensure the new hardware is compatible with the existing cluster.
   • Connect the node to the network.

2. Access Prism Element:

   • Navigate to Hardware → Add Node.

3. Discover and Join the Node:

   • Use the Foundation Tool to install and configure the node.
   • Prism will automatically rebalance data and workloads across all nodes.

4. Verify Cluster Health:

   • After adding the node, check the health dashboard to confirm the node is operational and workloads are balanced.

Benefits of Scaling:

• Scale Up: Quick solution for individual VMs needing more power.
• Scale Out: Increases cluster-wide capacity and performance.

4.3.2 Rebalance Workloads

Workload imbalance occurs when certain nodes or disks are over-utilized while others remain underutilized. Rebalancing ensures that compute, memory, and storage workloads are evenly distributed across the cluster.

Steps to Rebalance Workloads

1. Identify Imbalanced Nodes:

   • Go to Prism Dashboard → Heatmap to find nodes or VMs with high utilization.
   • Look for CPU, memory, or storage hotspots.

2. Migrate VMs to Less-Loaded Nodes:

   • In Prism → VM Management:
     • Select the VM with high CPU or memory usage.
     • Click “Migrate” and choose a less-loaded node.

3. Rebalance Storage Automatically:

   • Nutanix automatically rebalances data when new nodes are added or workloads shift.

   • To force a manual rebalance, run the following command on the CVM:

     ncli cluster rebalance start
     

4. Monitor Results:

   • Use Prism to verify that CPU, memory, and storage utilization are balanced across nodes.

Example Scenario: Rebalancing a Cluster

Problem: Node A is over-utilized, with CPU usage at 90%, while Node B is under-utilized at 20%.

Solution:

1. Identify which VMs are consuming most of Node A’s resources.
2. Use VM Migration to move VMs from Node A to Node B.
3. Monitor the performance metrics after migration to confirm the balance.

4.3.3 Optimize Policies for Better Performance

Optimizing storage and network policies can significantly improve cluster performance.

1. Adjust VM Storage Policies

Compression and Deduplication:

• Inline Compression: Enable for workloads that can handle slight CPU overhead.
• Deduplication: Use for workloads with duplicate data, such as VDI or backups.

Steps to Enable Storage Optimization Policies:

1. Go to Prism → Storage → Containers.
2. Select the container and enable Compression or Deduplication.
3. Monitor I/O performance to confirm improvements.

Erasure Coding (EC-X):

• Use Erasure Coding for cold storage or workloads where storage savings are critical.
• Avoid using EC-X for write-heavy workloads, as it can introduce latency.

2. Network QoS Configuration

Prioritize bandwidth for critical VMs using Quality of Service (QoS).

Steps to Configure QoS:

1. Navigate to Prism → Network Configuration → vNIC Settings.
2. Define bandwidth limits:
   • Set a minimum bandwidth for critical VMs (e.g., databases).
   • Limit bandwidth for less important workloads (e.g., file sharing).
3. Monitor network performance to ensure QoS policies are enforced effectively.

3. Optimize VM Placement

Use Nutanix’s affinity rules to improve performance by controlling where VMs are placed:

• Anti-Affinity Rules: Spread VMs across nodes to avoid resource contention.
• Affinity Rules: Keep specific VMs on particular nodes to reduce latency.

Steps:

1. Go to Prism → VM Management → Affinity Rules.
2. Define rules for VM placement based on your performance goals.

Example Scenario: Optimizing Storage Policy

Problem: VMs in a storage container experience high latency due to excessive data writes.

Solution:

1. Enable Inline Compression to reduce the amount of data being written to disk.
2. Verify that Erasure Coding is not enabled, as it introduces overhead for write-heavy workloads.
3. Monitor storage performance metrics (IOPS and latency) to ensure improvements.

4.3.4 Summary of Performance Remediation Steps

Task	Action	Purpose
Add Resources	Scale up VMs (vCPU/memory) or scale out nodes.	Increase capacity and performance.
Rebalance Workloads	Migrate VMs or force storage rebalancing.	Balance resource usage across nodes.
Optimize Policies	Adjust storage (compression, EC-X) and network policies (QoS).	Improve I/O and network performance.

Final Notes

Performance remediation is an iterative process. Use tools like Prism and Prism Pro to monitor performance, diagnose bottlenecks, and take targeted actions to resolve issues. Regularly analyze and optimize your cluster resources to maintain high performance.

Analyze and Remediate Performance Issues (Additional Content)

This section enhances performance monitoring, CPU/memory analysis, storage optimization, network tuning, and troubleshooting techniques in a Nutanix environment.

1. Prism Performance Dashboard Monitoring Metrics

Nutanix Prism Performance Dashboard provides real-time monitoring of cluster resources, including IOPS, latency, throughput, CPU, and memory utilization.

1.1 CPU Ready Time (CPU Contention)

• Definition: CPU Ready Time measures the amount of time a VM waits for CPU resources.
• Impact: If CPU Ready Time is too high, VMs experience delays because they are waiting for physical CPU cycles to become available.

Checking CPU Ready Time

ncli vm list | grep "CPU Ready Time"

Best Practices to Reduce CPU Ready Time

1. Avoid CPU Overcommitment

• Ensure vCPU allocation aligns with physical CPU availability.
• Example: Avoid assigning 16 vCPUs to a host with only 8 physical cores.

2. NUMA-aware VM Placement

• If VMs span multiple CPU sockets, use NUMA-aware scheduling.

• Configure NUMA manually for large VMs:

  ncli vm update id=<VM-ID> enable-vNUMA=true
  

1.2 Storage Contention (High I/O Latency)

Storage contention occurs when multiple workloads compete for disk resources, causing high latency.

Common Causes

• High concurrent write IOPS
• Storage pool overutilization
• Frequent metadata updates affecting storage performance

Optimizing Storage Performance

1. Limit IOPS per VM using Storage QoS

ncli vm update id=<VM-ID> max-IOPS=1000

2. Enable Storage Tiering

• Moves hot data to SSDs for faster access.

ncli container update name=<container-name> enable-tiering=true

3. Identify Storage Bottlenecks

ncc health_checks run_all | grep "Storage Latency"

2. In-depth CPU and Memory Bottleneck Analysis

2.1 Virtual NUMA (vNUMA) Optimization

vNUMA (Virtual Non-Uniform Memory Access) improves performance for large VMs running on multi-socket physical servers.

Best Practices for vNUMA

• Enable vNUMA when VM has more than 8 vCPUs:

  ncli vm update id=<VM-ID> enable-vNUMA=true
  

• Ensure VM's vCPUs match physical NUMA boundaries.

2.2 Memory Overcommitment & Ballooning

• Memory Overcommitment occurs when more virtual memory is allocated than the available physical memory.
• Ballooning is a mechanism where Nutanix reclaims memory from less-active VMs.

Checking Memory Ballooning

ncc health_checks run_all | grep "Ballooning"

Optimizing Memory Usage

• Reduce memory overcommitment for critical VMs.
• Reserve physical memory for latency-sensitive applications.

3. Storage Optimization: Erasure Coding (EC-X) and Storage QoS

3.1 Erasure Coding (EC-X)

Erasure Coding (EC-X) reduces storage footprint by using parity-based protection instead of full data replication.

When to Use EC-X

Scenario	Use EC-X?	Reason
Cold Data (Backups, Archives)	Yes	Reduces storage footprint significantly.
Database Workloads (OLTP, Analytics)	No	EC-X computation increases storage latency.

Enabling Erasure Coding

ncli container update name=<container-name> enable-ec=true

3.2 Storage QoS (Quality of Service)

Storage QoS prevents noisy neighbor VMs from consuming excessive storage bandwidth.

Setting Maximum IOPS per VM

ncli vm update id=<VM-ID> max-IOPS=5000

4. Network Optimization and QoS Policies

4.1 Open vSwitch (OVS) Optimization

Nutanix AHV uses Open vSwitch (OVS) to manage VM network traffic.

Check OVS Configuration

ovs-vsctl show

Enable Active-Active NIC Bonding

ovs-vsctl set port bond0 bond_mode=balance-slb

4.2 Distributed Virtual Switch (DVS)

• DVS (Distributed Virtual Switch) enables microsegmentation for VM security.

• Enabling Nutanix Flow for DVS:

  ncli flow enable
  

4.3 QoS Traffic Limiting

To limit backup traffic and prevent it from affecting production workloads:

ovs-vsctl set interface eth0 ingress_policing_rate=5000

5. Diagnosing and Fixing Performance Issues

5.1 Running Nutanix Cluster Check (NCC)

To run a full performance diagnostics scan:

ncc health_checks run_all

Checking Storage Latency Issues

ncc health_checks run_all | grep "I/O Latency"

5.2 Analyzing AOS Logs for Performance Bottlenecks

To troubleshoot latency spikes in storage performance:

grep "latency" /home/nutanix/data/logs/*.log

Check Stargate Logs for Storage I/O Performance

grep "I/O" /home/nutanix/data/logs/stargate.log

Final Summary

Topic	Enhancements
Prism Performance Monitoring	Added CPU Ready Time, Storage Contention best practices.
CPU & Memory Optimization	Expanded vNUMA tuning, memory ballooning detection.
Storage Optimization	Improved Erasure Coding (EC-X) best practices, Storage QoS.
Network Performance	Enhanced OVS tuning, DVS for microsegmentation, QoS rate limiting.
Troubleshooting Techniques	Included NCC health checks, AOS log analysis.