More Related Content Similar to Devops based progressive delivery finalized Similar to Devops based progressive delivery finalized (20) 2. © 2021 All Rights Reserved. 2
Mind Map - DevOps
Telehealth Solution
Architectural Components
Deep Learning Solution
Implementation
What’s Next ?
Sneak Preview of Upcoming Features
Agenda
DevOps
Agility
Flexibility
Quality
3. © 2021 All Rights Reserved. 3 3
Mind map
No Code Platforms
Low Code Platforms
Market Requirements
Health Insurance
Payment Processing
AI
Digital health
Data Sources
Knowledge
Resources
Legacy Systems & Migration
Budget
In House Applications
Health Care
Application Upgrades & Update
Training
Metadata
Customizations
Licensing & Subscription
Life insurance
Tech Stack
Wellness Apps
Hospital
Management
Application Scope
Neural
Sketch
Learning
AI/ML
Devops
Containers
Cloud
CI/CD
Version
Control
Testing
GIT
IDE
Automation
Virtualization
Network
Monitoring
System Admin
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Patient Journey
Book an
Appointment
Appointment
Reminder
Schedule
Tracking
Intimate
Delays
Manage
Appointments
Post
Appointment
Engagement
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What Patients Want & Doctor’s View
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Process Flow
Filters
NLP API
Web
Mobile
Desktop
Queries
Registry
Data Sources
Links
Knowledge Base
Updates
1) Diseases
2) Data Sources
3) Artifacts
Top Down
As Knowledge
Domain Expert
Bottom Up
Registry &
knowledge updates
• Orphanet
• Johns Hopkins
• WHO
• NORD
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Knowledgebase Architecture
Service Layer
Visualization
Layer
Data Access
Layer
Knowledg
e Updates
Internet
Data
Sources
Search
Manager
Knowledge
Base
Manager
axios
cheerios
node
Disease Registry
Disease Knowledge
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Digital Assistants & Video Bots
Taking clinical
notes
Retrieving
cases
Updating
Prescriptions
Creating
consultation
appointments
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Bug Tracking
Systems
Monitoring
Systems
Configuration
Management
OS Patching
CI/CD
Pipelines
Containers
Source Code
Control
Systems
Collaboration
Infrastructure
Foundational Tools & Infrastructure
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DevOps Evolution - Metrics
Metric Value
Deployment
Frequency
Monthly
Lead Time Between
a week
and
6months
MTTR Less than
a week
Change
Failure Rate
Less than
15%
Low
Mid High
Metric Value
Deployment
Frequency
Between Daily
and Weekly
Lead Time Less than a
week
MTTR Less than a day
Change Failure
Rate
Less than 15%
Metric Value
Deployment
Frequency
On Demand
Lead Time Less than an
hour
MTTR Less than an
hour
Change Failure
Rate
Less than 5%
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DevOps Evolution - Challenges
• Resistance to Change
• Legacy Architecture
• Shortage of Skills
• Lack of Automation
• Unclear Objectives
Low
• Resistance to Change
• Legacy Architecture
• Shortage of Skills
• Lack of Automation
Mid • Legacy Architecture
• Shortage of Skills
High
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Flow of Change
Business
Domain
Business
Domain
Stream Aligned Team
Stream Aligned Team
Enabling
Team
Platform Team
Complex
Subsystem Team
Flow of Change
Collaboration
X as a Service
Facilitating
16. © 2021 All Rights Reserved. 16
Jenkins Devops - Features
Authorization
Administration
Analytics
Scalability
Availability
Distributed Teams
Container Support
Quality
Cost
Product
Time
17. © 2021 All Rights Reserved. 17
Jenkins Pipeline – Devops Workflow
Code
Checkout
Build the
code
Test the
code
Stage the
build
Release
the build
Deploy
the build
Version
Control
Continuous
Integration
Continuous
Delivery
Continuous
Deployment
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Progressive Delivery of Web Apps
Automating the Delivery of Web Apps
Jenkins
Server
GitRepo
Update
Jenkins
Trigger
Jenkins
Build
Process
AWS
Deployment
Live Web
App
19. © 2021 All Rights Reserved. 19
Progressive Delivery of Mobile Apps
Automating the Delivery of Mobile and Web Apps
Jenkins
Server
GitRepo
Update
Jenkins
Trigger
Jenkins
Build
Process
Google
Play Store
Apple
App Store
20. © 2021 All Rights Reserved. 20
Jenkins Devops : Benefits
Autonomous
Teams
Simple setup
Delivers
Release in
Time
Faster
Delivery
Higher
Productivity
Software
Predictivity
Business
Sustainability
Autonomous
Teams
Audit Trails
End to
End
Integration
Tests
Functional Tests
Unit Tests
21. © 2021 All Rights Reserved. 21
Jenkins – Agent based Architecture
Jenkins
Server
Git Lab
Jenkins Agent
Jenkins Agent
Jenkins Agent
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Dev Ops Best Practices
22
Automating Software Delivery
Treating Release Orchestration as a Business Imperative
Adopting Best-of-Breed Solutions but Doing so Judiciously
Practicing Value Stream Thinking
Using Feature Flags for Safer, Faster Software Delivery
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Input
Layer
Hidden
Layer
Hidden
Layer
Output
Layer
Hidden
Layer
Hidden
Layer
Convolutional Neural Network
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Image
Pixels
Pixel Value
Color
Depth
Grey Scale
Intensity
CNN
Layers
Convolution
Rectified
linear
unit
(ReLu)
Pooling
Fully
Connected
Features
Extraction
Image Recognition
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CNN Models
Keras pre-
trained
CNNs
Xception
VGG16
VGG1
9
ResNet
50
Inception V3
Inception
ResNetV2
Mobile
Net
Dense
Net
NASNet
MobileNet
V2
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Atelectasis 192
Cardiomegaly 50
Consolidation 72
Edema 41
Effusion 203
Emphysema 42
Fibrosis 38
Hernia 5
Infiltration 503
Mass 99
No Finding 3044
Nodule 144
Pleural_Thickening 65
Pneumonia 14
Pneumothorax 114
Total Result 5606
Atelectasis
Pneumothorax
Gender : Male, Female
Xray Position: Frontal , Back, Side
Lung Disease Analysis
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Training
Testing
Validation
Normal
Infection
by Virus
Infection
by
Bacteria
True
Positive
False
Positive
False
Negative
False
Positive
Actual
P
r
e
d
i
c
t
e
d
Precision = True Positive/Actual
Results
Recall = True Positive/Predicted
Results
Accuracy = (True Positive + True Negative)/Total
Actual Results = True Positive + False Positive
Predicted Results = True Positive + False Negative
CNN
Scale
Shift
Rotate
Salt and
Pepper
noise
Flip
Lung Disease – Deep Learning
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Total params: 12,167,424
Trainable params: 12,167,424
Non-trainable params: 0
Precision: 0.734694
%
Recall: 0.073022 %
Fscore: 0.261248 %
Training Data Bias = Average Predicted Value - Average Actual
Value
Convolutional Neural Network Results
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Convolutional Neural Network - Basic
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Convolutional Neural Network – Complete Dataset
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White Coats Platform
Network
App
Practice Plus
Clinic
Plus
StaffPlus
Patient
Plus
Registered
Doctors*
3,00,000+
Locations
3,000+
Onboarded
Doctors (App)
50,000+
Doctors from
Metro/Tier 1 & 2
~68%
Doctors from
Tier 3 & 4
~32%
# of Specialties
125+
General
Practitioners
~35%
% of Drs :
Specialists
~65% • App & Web Views
Q1- 2.05L ; Q2- 2.8L (Growth 36%)
• Social Interactions (APP)
Q1- 1.27L ; Q2- 1.58L (Growth 25%)
• Network Cases
Q1- 800 ; Q2- 1000 (Growth 25%)
White Coats Platform
34. © 2021 All Rights Reserved. 34
What’s Next ?
Relation of programming paradigms to CD and deployment experience
Differences between prevalence and effects of intentional vs. unintentional violations of SOLID OO design
principles
Count of manual interventions required to go from dev to production and relation to software architecture
and testing strategy
Relation of database normalization to deployment and incident/rollback frequency
Complexity of DevOps pipeline in terms of tool count
Overall effect of CD on application quality and security
Prevalence of version control for various definable (source, build scripts, infrastructure configuration, etc.)
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Moving From DevOps to ->
DevOps
Data
Ops
Dev
SecOps
AI Ops
MLOps
Development
Operati
ons
Security
Data
DevOps
DevSecOps
DataOps
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Ops Roles - Future
Vendor Engg Product Engg
SocioTechnical
Systems Engg
Portfolio
Management
37. © 2021 All Rights Reserved. 37
Clinical Knowledge - EBM
37
• Guidelines
• Decisions
• Study
Results
• Observations
Data Evidence
Guidance
Action
Omni Channel Telehealth
Platform
Genomic Applications
Personalized Medicine
Evidence Based Medicine
Predictive Toxicology
QSAR
Chemo-Informatics
Editor's Notes This PowerPoint Template includes a series of slide masters with predefined layouts and color schemes for formatting slides
Slide Masters are displayed when you right click on a slide and select Layout from menu
Book consultations online (Video/Audio)
Get medicines delivered
Book diagnosis tests
Set reminders for medicines
Ask questions to experts
Add and save medical records
View appointments and diagnosis history
View chat history and order history
Add and view family members
View and update profile
Read articles and share them
An open-source CI server that enables development and operation teams to reliably build, test, and deploy the software with shared pipeline and error tracking function. It can also be associated with a variety of dashboard plugins. Continuous Development: Git, SVN, Mercurial, CVS, Jira
Continuous Integration: Jenkins, Bamboo, Hudson
Continuous Delivery: Nexus, Archiva, Tomcat
Continuous Deployment: Puppet, Chef, Docker
Continuous Monitoring: Splunk, ELK Stack, Nagios
Continuous Testing: Selenium, Katalon Studio
Merge the project’s source code into a single repository and maintain.
Automate the build and integration.
Have the build self-test.
Regularly update changes to the baseline
Add all commits to the baseline
Accelerate the builds
Run tests in a clone of the production environment
Make it easy to get the latest deliverables
Build results can be monitored easily to public
Automate deployment
Image consisting of pixels and greyscale intensity ranges from 0 to 255 and weighted average is measured by the Perceptron
we defined the SOLID principles as follows:
• Single-responsibility principle – Every class should have only one reason to change.
• Open-closed principle – Every class should be open for extension but closed for modification.
• Liskov substitution principle – Every subclass should be substitutable for its base class.
• Interface segregation principle – No interface should require a client to worry about things it does not want from the implementation.
• Dependency inversion principle – No abstraction should depend on concrete implementation details. DevOps is a union in which processes, products, and people are integrated to provide Continuous Integration and Continuous Delivery of value to end-users.
