Cross-Silo Intelligence to Optimize Virtual InfrastructuresMarch 24, 2015

Don ChouinardXangati

Douglas Brown

DABCC.com

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What metrics do I need to collect beyond those I’m getting from my hypervisor?

How do I know if my storage system is keeping up with my virtual machines?

How do I track down the cause of an issue reported by a user?

How can I determine the root cause of an alarm storm?

How can I avoid future resource contention storms?

What are dynamic thresholds?

How can I understand impact of applications to VI performance?

Main Questions Answered

1a. Performance of the End-to-End Infrastructure

Clusters

Applications

Servers

Users

Xangati captures metrics in

real-time from the entire end-

to-end IT infrastructure

Web

Servers

XenApp

Servers

VDI: View &

XenDesktop

Hypervisor

Hosts

Storage

Systems

Other IT

Servers

Applications

Groups

Servers

Users

Desktops

Pools

Servers

Users

Guest VMs

Servers

Datastores

Users

Services

Servers

Health

Users

NFS Shares

iSCSI/FC LUNs

Health, Capacity

Performance

Network

Switches

Throughput

Latency

Health, Capacity

Physical & Virtual

Citrix NetScaler

ADC

Out to the Clients

In to the Datacenter

Throughput, IOPS

Latency, Jitter

Users &

Mobile Devices

APIs:

NetApp

7-mode

WMI

SSH

1b. End-to-End Performance Management

2a. Storage Architectural Considerations

Hypervisor

Host

Storage System

Storage Throughput (MB/s)

Storage Latency (ms)

Storage IOPS (operations/second)

Hypervisor

Host

VM VM VM VM

VM VM VM VM

• Network Speed (1GbE or 10GbE)

• Line Trunking

• Network Speed (1GbE or 10GbE)

• Speed of Storage System Controller

• Overcome I/O Blender Effect

• Flash or Hybrid Storage

2b. Xangati Support for Storage Metrics

HypervisorvSphere &

Hyper-V

Datastores

Networks

Storage

System

• Read & Write Throughput (KB/s)

• Read & Write IOPS (Operations/s)

• Read & Write Latency (ms)

• Number of Hypervisors Served

• Number of Guest VMs Served

• Overall Read & Write Throughput (KB/s)

• Overall Read & Write IOPS (operations/s)

• Overall Read & Write Latency (ms)

• Overall Number of Hypervisors Served

• Overall Number of Guest VMs Served

• Overall CPU Utilization (%)

• Overall Read & Write Network Bit Rate (b/s)

• NFS Read & Write Latency (ms)

• NFS Read & Write IOPS (operations/s)

• CIFS Read & Write Latency (ms)

• CIFS Read & Write IOPS (operations/s)

• iSCSI Read & Write Throughput (KB/s)

• iSCSI Read & Write IOPS (operations/s)

• iSCSI Read & Write Latency (ms)

• Fibre Channel Read & Write Throughput (KB/s)

• Fibre Channel Read & Write IOPS (operations/s)

• Fibre Channel Read & Write Latency (ms)

• Number of Datastores

NetApp Storage System MetricsDatastore Metrics

2c. Xangati Deep Support for NetApp Storage

3a. DVR-like Powerful Recordings

User Initiated via a URL

To report a problem

Recording is captured

With full drill-down details

Trouble Ticket is Emailed

To IT personnel

Fast Issue Resolution

By IT Personnel

3b. Visual Trouble Ticket

4a. Real-time Alerts Come in Storms

4b. StormTracker Advanced Analytics

Understand Storms Related to

Your Specific Environment

4c. Storm Tracker Provides Root Cause Analysis

5a. StormTracker Advanced Analytics

Track Resource

Contention Storms

From when they first

appear to when they

begin to impact

operations

Provides IT Guidance

to Avoid Future Storms

See areas of impact,

sources of contention

5b. StormTracker Recommendation Report

6. Application Performance Report

7. Dynamic Thresholds

Self-Learned Dynamic Thresholds

Continually adjusted based on

historical metrics and best practices

Xangati Key Features At-a-Glance

Reports for planning and communicating

Predict future resource contention storms

Recordings with the Root Cause Pinpointed

Dynamic thresholds learn from your environment

Dashboards with DVR-like playback to troubleshoot

Real-time End-to-End Metrics with NO Agents