Post on 22-Jan-2017
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Contents
Complexities introduced by agile practices
Agile Needs
Scenarios suitable for DevFarm VDI Fitment for Development Workload
What is DevFarm?
DevFarm implementation architecture in AWS
DevFarm Cost benefits and TCO comparison between on-premises and Cloud infrastructure
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2
3
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5
6
Part #1
Part #2
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Complexities Introduced by Agile Practices
Faster Turnaround
More Dependencies
Increased Coordination
Multi Level Collaboration
Consistency across teams
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Disconnect between IT and Development
IT and Developers often lack common ground
Developers
IT
ControlVisibility
Compliance
AgilityProductivity
Time to Market
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Dev vs. IT
Development Team
Need IT
5 New Contractors are joining next week to meet the new
timelines promised to customers.
Decided to follow a Feature Based Development model.
Developers need to work in parallel on multiple projects
Support teams need access to multiple versions
Geographically distributed teams working in parallel
5 new workstations with all software setup in less than a
week
Multiple development environments in parallel
Multiple environments for each developer
Separate environment has to be maintained for each version
Shared dev environments to work collaboratively
Need more time
No budget
No space
No IT Support bandwidth
Can’t allow – Security issues
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Agile Needs
The development environments (as a stack) should be available on-demand at the disposal of developers
Team should have self-servicing capability to create their (multiple) development environments without any intervention from IT teams
Each team should be able to make progress without any dependency with other development teams
Teams should be able to easily share/access common environments, easing the collaboration efforts
Templated environments should be used across the teams for ensuring consistency
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Virtual Desktop Infrastructure (VDI)
Centralized Management of Desktops Efficient power consumption Access anywhere, anytime Secure
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VDI Fitment for Development Workload
Typical Desktops
Development
Environments
VDI Solutions mostly applicable for vanilla workstations/desktops
Desktops typically contain standard set of software
Software configurations don’t change oftenOffers excellent options for managing the desktops but less support on the desktop customization
Not designed for sharing of desktops
Follows a workflow for approval and provisioning of desktop
Dev. Environments are typically complex in nature and has interdependenciesWide range of tools might be required depending on the technology stack
Frequent changes in versions of the tools/libraries used in development
Requires medium/heavy customization of the desktop to support the dev technology stack
Most often will require sharing with other developers for co-development
Needs self-servicing capabilities to launch/terminate at will
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What is DevFarm?
Deploys Cloud automation for addressing development environment related complexities
Extends VDI Solution to meet the needs of Development environment
Implemented on cloud for cost savings; no CapEx
Offers Self-Service portal to developers, along with the access control to IT
Supports custom rules for usage, configuration, cost limits, etc.
Monitoring dashboards and automated alerts to keep the budgets under control
What is DevFarm
?
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Scenario #1
Scenarios Suitable for DevFarm
Companies that deal with multiple parallel releases within a single application. In this case, each team can have it’s own dev environment without affecting other tracks.
Development Testing Teams Releases
Timeline
T1
T2
T3
T4
R1
R2
R3
R4
Application
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Scenario #2Leverage a task based approach for developers. Developers can handle multiple tasks across different dev environments. This allows Companies to move away from “effort per release” to “effort task per release”
Scenarios Suitable for DevFarm
Dev Env1 Dev Env2 Report Env Tasks
T1 T3
App1
App2
T1
T2
T3
T4
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Scenario #3
Stg
IM
IMQA
M2
QA2
Companies that deal with multiple applications release. Each teams can be working on different dev environments. Workload of IT gets drastically reduced in these cases.
Scenarios Suitable for DevFarm
App2
App Suite 1
M1
QA1
Dev Int QA Stg
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Scenario #4
In Support, where multiple older versions of the products have to be maintained. Developers can fire up the version of dev environment to be worked, complete the work (bug fix, etc.) and remove the environment. This approach tremendously increases the productivity of support teams.
Scenarios Suitable for DevFarm
Application Versions
T1 T3T1
T2
T3
T4
X
X
X
X
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Scenarios Suitable for DevFarm
Cross team working – where you need the flexibility to have the developers work on multiple projects. Instead of providing them 3-4 laptops/desktops – you can simply provide them access to as many environments as required.
Scenario #5
T1
App1 Env App2 Env App3 Env App4 Env
T3 T4T2
LOREM IPSUMPart II
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DevFarm – Working Model
Pre-Created Images
DevFarm Admin
Create Environment
Team #1
Team #2
Team #n
Monitoring & Image Management
Sets up the images with the baseline
software to be used by all devs
Devs can launch the
environment at their own will
Completely Automates the environment setup as
well as app related configurations
Support team monitors for
resource usage, cost & image updates
Independent stacks for each team
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Developer Control
AWS Service Catalog - Overview
IT Control
Service Catalog
Portfolio
Product
Versions
Stacks
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Portfolio Creation
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Product Creation – Step 1
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Product Creation – Step 2
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Product Creation – Step 3
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Product View
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Product – Additional Settings
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Developer - Launching a New Stack
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Service Catalog – Product Listing
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DevFarm Architecture
Creates portfolio 1
2
4
8
3
7
8
6
5
Administrator
Create custom services and grant access
Users
Events
Use a personalized portal to find and launch services
Creates product
Authors template
Adds constraints and
grant accessAWS Cloud Formation template
Dev Env Product
Portfolio
Deploys stacks Events
LaunchProducts
Browse Products
AWS
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TCO Analysis
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TCO Analysis
3 Years Cost Breakdown
88% yearly savings3 year total savings of $164,657
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TCO Analysis
On-Premise AWS
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TCO Analysis
On-Premise AWS
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TCO Analysis
On-Premise AWS
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TCO Analysis
On-Premise AWS
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TCO Comparison
25 50 75 100 150 200 $-
$50,000
$100,000
$150,000
$200,000
$250,000
$300,000
$350,000
$400,000
$450,000
$500,000
$187,276
$220,969 $252,863
$286,557
$352,144
$446,306
$22,619 $45,033 $67,399 $89,765 $134,498
$179,231
$164,657 $175,936 $185,464 $196,792 $217,646
$267,075
On-premise AWS Diff CostNumber of VMs
On-premise vs. AWS: 1vCPU, 4GB RAM, 100GB Storage
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TCO Comparison
25 50 75 100 150 200 $-
$100,000
$200,000
$300,000
$400,000
$500,000
$600,000
$700,000
$800,000
$214,049
$274,517
$333,184
$420,426
$539,560
$760,077
$42,525 $84,749
$126,974 $169,198
$253,228 $321,242
$171,524 $189,768 $206,210 $251,228
$286,332
$438,835
On-premise AWS Diff Cost
Number of VMs
On-premise vs. AWS: 2vCPU, 8GB RAM, 100GB Storage
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TCO Calculator by AWS
https://awstcocalculator.com
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