Ex Exhilar arating Journey of Transformation into Digital Edge - - PowerPoint PPT Presentation

Ex Exhilar arating Journey of Transformation into Digital Edge

LEAN, AGILE & DEVOPS ADOPTION

Feedback Publish Prod Deploy CON ONTINUOUS I N T E G R A T I O N CON ONTINUOUS D E L I V E R Y CON ONTINUOUS D E P L O Y M E N T

Build Code Commit Unit Tests Build Code Commit Unit Tests Acceptance Tests Package Acceptance Tests Package Publish Non-Functional Tests Build Code Commit Unit Tests

Feedback Publish Prod Deploy CON ONTINUOUS I N T E G R A T I O N CON ONTINUOUS D E L I V E R Y CON ONTINUOUS D E P L O Y M E N T

Build Code Commit Unit Tests Build Code Commit Unit Tests Acceptance Tests Package Acceptance Tests Package Publish Non-Functional Tests Build Code Commit Unit Tests

Feedback Publish Prod Deploy CON ONTINUOUS I N T E G R A T I O N CON ONTINUOUS D E L I V E R Y CON ONTINUOUS D E P L O Y M E N T

Build Code Commit Unit Tests Build Code Commit Unit Tests Acceptance Tests Package Acceptance Tests Package Publish Non-Functional Tests Build Code Commit Unit Tests

PRODUCTION ST AGE ACCEPT ANCE QA DEV LOCAL

T I M E T O D I S C O V E R D E F E C T S C O S T T O F I X D E F E C T S

SH SHIFT FT L E F T

EARLY Y D E T E C T I O N TIME ME S A V I N G CO COST S A V I N G SMOOTH H R E L E A S E S

CLOUD NATIVE ADOPTION

Cloud Native

Monolith vs. Microservices

EVOLVING NG D EPLOYMENTS

TR TRADITIONAL L D E P L O Y M E N T CONT NTAINERIZED D E P L O Y M E N T

Docker “AND” Kubernetes

21

Adapting Containerization & Orchestration

Containerization – In Action

Docker Lifecycle

22

Containerization Concepts

○ Docker Daemon ○ Docker Registry ○ Docker Host ○ Container ○ Docker Image

○ Build ○ Pull/Push ○ Run

Orchestration

Kubernetes Architecture

23

Namespace Service Persistent Volume Deployment Pod

BUILD ONCE, RUN ANYWHERE

Hyper-Risk ( Current Time )

RO ROOTLESS CON TA INERS

IMMUTABLE ABLE

• STABILITY
• FEARLESS
• REDUCED RISK

LIGH GHTWEIGH GHT

• HIGH PERFORMANCE
• REDUCED RISK
• COST EFFECTIVENESS

STATEL ELESS SS

• CONSISTENCY
• QUICK STARTUP
• HIGH PERFORMANCE

RO ROOTLES ESS

• REDUCED RISK
• HIGH MAINTAINABILITY
• ASS

SSETS T O O R O O R G

Building Rootless Containers – Dockerless

EFK (ELASTIC SEARCH, FLUENTD, KIBANA)

1 3

Automated Code/Config Change Deployment in K8S Cluster Setup End to End K8S Environment

4

Tear Down K8S Environment

2

Scale up & down Desired Applications

DEVOPS CI PS CI/CD CD AUTOMATI ON

TEKTON & ARGO CD

ARGO CD – DETAILED VIEW

SHIFT FT L E F T

Namespace – RED Kubernetes LOCAL Machine

Pod Pod Pod

Service

REGRESSION TESTING

SYSTEM TESTING USER ACCEPTANCE TESTING

SMOKE TESTING

LOAD/STRESS TESTING

SECURITY TESTING MAINTAINABILITY TESTING

FAILOVER TESTING

CONFIGURATION TESTING

UNIT TESTING

SCALABILITY TESTING

FUNCTIONA NAL T E S T I N G NON-FUNCTION ONAL T E S T I N G

LOAD/STRESS TESTING

SECURITY TESTING MAINTAINABILITY TESTING

FAILOVER TESTING

CONFIGURATION TESTING SCALABILITY TESTING

NON-FUNC NCTIONA NAL TESTI N G

Improved Security & Reduced Risk High Stability & Site Reliability Cost & Time Savings

SECU CURI RITY TESTI N G

Sec Secur urity T y Tes esting

• Rootless Containers
• Static Scanning
• Composition Analysis
• Dynamic Scanning
• Pen Testing

SECURITY TY A S PA R T O F C I / C D D E L I V E R Y P I P E L I N E

Publish Code Commit Build / Unit Test

Static Scanning Composition Analysis Dynamic Scanning Rootless Validation

Non-Functional Tests

Pen Testing

Deploy

DEALING NG W IT H FA ILURES

Failover T Testing

• Identification, Experimentation,

Measurement & Remediation of Failures

• Identical Non-PROD & PROD

Environments

EPHE HEMERAL AL E N V I R O N M E N T S B U I LT W I T H S A M E P R O D U C T I O N M A N I F E S T

NON ON-PRO ROD E N V I R O N M E N T

NON-PROD User

PRO ROD E N V I R O N M E N T

PROD User

HA PROXY

Sever eral C Commerci cial & & OSS Options

CHA HAOS EN G I N EERING TOOLS

Shou

• uld b

be e Decl eclarativ tive, E , Exten ensible e & A Automa mated Start S t Small & & Build Confide dence Exper erim imen ent a t acr cross Le Level els,

• Application
• Cac

aching

• Database
• Netw

twork

CHAOS E ENG NGINEERING A S PA R T O F C I / C D D E L I V E R Y P I P E L I N E

Q & A

Thank You!

HRPatel2000 NavikCo @HubNavik Himanshu Patel