The document discusses the importance of democratizing IT capabilities within enterprise DevOps to enhance collaboration, efficiency, and governance across the CI/CD pipeline. It emphasizes the shift towards self-service data management, the need for role-based access, and the automation of processes to improve productivity and mitigate risks associated with data privacy and compliance. Additionally, it highlights the challenges organizations face with multiple data sources and the long timeframes for data provisioning, underscoring the need for streamlined test data management.

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Sanjeev Sharma, VP, Global Practice Director – Data Modernization | Delphix
Data Agility for Enterprise
DevOps Adoption

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Innovation drives the Democratization of Technology
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1874 - Solid Wood 1947 - Laminated Wood 1968 – Steel 1993 – Graphite
2008 – Aerodynamic
Racquet

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Tenets of Democratizing IT Capabilities
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Self-service driven empowerment
Permission to act and experiment
Role and Policy driven automation of Security and Compliance
Trust

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DevOps: Democratizing the CI/CD Pipeline
• Democratize capabilities across CI/CD pipeline as services consumable by Practitioners
• ‘Shift-Left’ availability of capabilities across delivery pipeline
• Raise the abstraction of the role of Specialists to deliver capabilities via self-service
• Drive cross-functional collaboration around continuous improvement of processes across the delivery pipeline
• Implement more effective controls and governance via role-based access and monitoring/logging
Continuous Integration Continuous Delivery
Shift Left Test
Shift Left Ops
Culture
Development SCM Build
Package
Repo
Deploy Testing Staging Production FeedbackPlanning Manage

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Building a CI/CD Pipeline
Automate Infrastructure
Automate Data
Automate SDLC
Innovate
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Democratize Data
Innovate
Democratize SDLC
Democratize Infrastructure

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Democratizing Data with Delphix
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Become Data Source Agnostic
Make Data Available Self Service
Manage Data Like Code
Mitigate Data Privacy &
Compliance Risks
Train / Hire Data-Skilled Talent

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DevOps: Overhead in Software Defect Resolution Cycle
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Multiple data
sources
Multiple
handoffs
Multiple
days per
handoff
No. of
Defects per
Release
No. of
Releases per
App or
Service
No. of
Services or
Apps
Silent Cost of Lost Productivity
Lost Revenue
Productivity Cost Per Defect Total Number of Defects

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DevOps: Overhead in Software Defect Resolution Cycle
Enterprises use multiple, heterogeneous data
sources:
“DataOps Lays the Foundation for Agility, Security and Transformational Change,” 2019
Currently have four or
more individuals
involved in the data
provisioning process.
Indicated that it takes their
organization four days or
more to provision a new
data environment.
67%
78%
85% Are using RDBMS
72% Have a data warehouse
60% Are using NoSQL DBs

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Secure and Compliant Test Data via Self Service
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Applications
Files
Databases
On-Prem
Cloud
CONNECT
APIs
VIRTUALIZE
Sync
Compress
Provision
SECURE
Compliance
Policy
Masking
MANAGE
Distribute
Audit & Report
Manage
DBA
Developer
QA
Analyst
Data
Scientist
On-Prem Any Server Private Cloud Public Cloud

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Secure Test Data Management in the Delivery Pipeline
INTEGRATION TEST SYSTEM TEST PRODUCTION
CODE
Virtual DB
CODE
Virtual DB
CODE
Virtual DB Production
CODE
DEV
DEV
DEV
Secure Data
Deployment
Code and
Infrastructure
Deployment
Provision/Refresh
Data
Sync and Mask
…
Trigger BuildPush
Delphix Plugin
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Provision/Refresh
Data

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Scaling for Enterprise DevOps Adoption
INTEGRATION TEST
SYSTEM TEST

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Value Stream Mapping
the CI/CD Pipeline
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Making the entire delivery process Lean
Idea/Feature/Bug Fix/
Enhancement
Production
Development Build QA SIT UAT Prod
PMO
Requirements/
Analyst
Developer
Customers
Line of Business
Build
Engineer
QA Team Integration Tester User/Tester Operations
Artifact Repository
Deployment Engineer
Release Management
Code Repository
Deploy
Get Feedback
Infrastructure as Code/
Cloud Patterns
Feedback
Customer or
Customer Surrogate
Data
Tasks
Artifacts
Value Stream
Mapping to Identify:
 Waste
 Wait
 Rework
Video : DevOps Value
Stream Mapping

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DevOps Value Stream Mapping Workshop
 Review the current state
 Business goals, IT goals, current initiatives
 Requirements
 Environments
 Repositories
 Data Sources /Data Architecture
 Roles / Organization
 Metrics
 Other
 Prioritize Waste, Wait states and Rework to
be addresses across Process, Infrastructure,
Application Development and Data
 Create a first pass at an improvement
roadmap
The Whiteboard

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QUESTIONS & ANSWERS
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THANK YOU