Transcript ITM 7.1: Workload Visibility Drives Data Center Operations

ITM 7.1: Workload Visibility Drives
Data Center Operations Efficiencies
Arup Chakravarty
Director – Network Engineering
MetLife
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ITM 7.1: Workload Visibility Drives Data Center Operations Efficiencies
How many of us truly know and understand the types of workloads we are supporting
within our data centers? Next generation data centers have visibility to applications,
which drives efficiencies in proactive planning across the board—infrastructure,
virtualization, security and management. This session will explore how to make data
center operations decisions based on analytics derived from the infrastructure.
Streamlined operations can enable business agility and shorten provisioning times while
maintaining SLAs that drive the business. The session will also touch the use of Software
Defined Networks (SDN) that encourage intelligent decision making in the data center.
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Operations Challenges
Manual Provisioning
Scalability
Lack of Workload Visibility
Time to Resolution
(Applications & Infrastructure)
Resource Tracking & Allocation
Reactive break/fix
No de-provisioning & clean-up
Skillset Challenges
Study: Data Center Downtime Costs
$7,900 Per Minute *
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What is a “workload” ?
Firewalls
OS
Resources
VM
Switches
Storage
Routers
OS
OS
Resources
VM
IP Address
VLAN
DNS
GW
Etc.
OS
DB
Series of workload
sequences defines an
“application”
environment
VM
Load
Balancers
Infrastructure
VM
OS
VM
Hardware
Power
Cables
Ports
Line Cards
Resources
IP Address
VLAN
DNS
GW
Etc.
Infrastructure
VM
Infrastructure
IP Address
VLAN
DNS
GW
Etc.
APP
WEB
OS
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Provisioning & De-Provisioning
Load
Balancers
Switches
Standardization
Automated Policy Management
Resource tracking & cleanup
Faster “time to market”
Data Center 1
Routers
Routers
Routers
Firewalls
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

Policy Provisioning
Firewalls
Base Network Provisioning
Load
Balancers
Switches
App Profiles
VM
VM
Storage
VM
VM
Server & Storage Provisioning
Storage
Application Workloads
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Streamline Infrastructure Operations
Routers
NetFlow/SFlow
Tooling
Load
Balancers
Event Logs
Switches
Security Logs
Application Logs
Splunk
Flume
IDS/IPS
DLP
Syslog
Zenoss
Cacti
CMDB
Collection
Analysis
Firewalls
Servers
Storage
Foundation
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Do we have the right tools ?
Tooling: Off the shelf tools will NOT meet all
enterprise needs – customization is a must !
Tools must have:
• Active vendor and/or community support
• Built-in extensibility – Plugins, APIs, etc.
• Legacy Infrastructure support
• Distributed infrastructure
• Web-based support with extensive access
controls
• Extensive out-of-box reporting capabilities
Path to
DevOps
BGP
LS/FS
API
XML
Puppet
Python
NetConf
JSON
Continuous
Ops Review
Is workflow
current ?
CMDB
Optimal
Logging
What level of
visibility ?
Tools
optimization
Automation
Validation
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Metrics & Analysis
Tools
Custom
Logic
Application
Requirements
Data Center 2
Routers
Routers
Routers
Routers
Routers
Routers
Firewalls
Firewalls
Firewalls
Load
Balancers
Load
SwitchesBalancers
Firewalls
Load
Balancers
Load
Balancers
Switches
Switches
VM
Switches
VM
VM
VM
Data Center 1
VM
VM
Storage
Storage
VM
Storage
Storage
VM
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Business Critical
Attributes
Application Policy
List of critical hosts
3-Tier availability
Latency SLA
Performance metrics
Examples
1. Analyze latency – reroute proactively if above
threshold
2. Dynamically monitor VM mobility and update host
reachability tables
3. Track CRC errors and automatically shut down the
port connecting to critical hosts (dual paths) and
send alert
4. Dynamically update infrastructure resource usage
when additional resources are added (links/ports,
VLAN, MAC addr, etc.)
5. If FW logs get a “hit” on a host, dynamically check
logs for ALL devices in path of host for
errors/information
6. Script capabilities for determining path of a
“workload” in real-time for quick verification &
reachability
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Workload Visibility Benefits
1.
2.
3.
4.
5.
6.
7.
8.
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10.
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12.
Automate common tasks – reduce or eliminate human error
Dynamic provisioning & de-provisioning
End-to-end orchestration capabilities
Virtualization capabilities
Asset Lifecycle Management
Capacity Planning & Management
Path to a robust CMDB
Availability Management
Technology Refresh Analysis
Security posture validation and enforcement
Reduced time to problem resolution
Facilities Management
a) Efficient power calculations
b) Support for heat density & cooling analysis
c) Cabling Plant analysis
Tools &
Analysis
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3 Key Things You Have Learned During this Session
1. Know your business critical application environment – this IS
the “Data” in your Data Center !
2. Integration of Infrastructure intelligence with application
intelligence
3. Automation & relevant analytics drives your operations
efficiencies
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Thank you
Arup Chakravarty
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