accelerate azure journey and value with cast...
TRANSCRIPT
Accelerate Azure Journey and Value with CAST Highlight
Agenda
• CAST Overview
• Highlight: Easy Business/IT Platform to accelerate Ramp-up & Value
added
• Demo
• Implementation Approach Example
• Product Overview details
CAST Mission: The Unit of Measure for Software
“To drive behavior and make the right tradeoffs
between speed, business risk and technical debt.”
Software Grades
Developers reputation
Skills promotion via social mediaOutcome based business enablement
Improved relationship with clients
Client acquisition and retention
“CAST sheds light on issues before
they become production problems.”
Size
Resiliency
Security
Efficiency
Maintainability
Global SIsDeveloper
Communities
“CAST makes supplier
relationships transparent.”
“A highly disruptive concept that changes the game within G2000 internal IT and the $60B
Application Services market”
Global 2000
Standard Unit of MeasurePowered by CAST
Fast & Efficient Deployment
LOW
A
DM
SP
EN
DIN
G P
ER
AP
P
HIG
H
CAST AAD Net Value(TCO – Value delivered)
CAST HIGHLIGHT Net Value(TCO – Value delivered)
CAST HIGHLIGHT• Application Portfolio Health Assessment
• SaaS - Deployed in one week
CAST APPLICATION INTELLIGENCE PLATFORM (AIP)• On Premises or SaaS (Managed Services)
• Deployed across the most critical apps in less than 90 days
HIGH STRATEGIC IMPORTANCE TO BUSINESS LOW
Agenda
• CAST Overview
• Highlight: Easy Business/IT Platform to accelerate Ramp-up & Value added
• Demo
• Implementation Approach Example
• Product Overview details
Fast & Secure Application Portfolio Analysis
Mitigate Software Risks
Reduce Application Costs
Optimize Resource Allocation
Hi-level portfolio health assessment
Objective software analytics
Code-level analysis
Lightweight SaaS platform
Application Portfolio Analysis Helps
Cloud Readiness Use Case
Digital TransformationIT Health Check
Technical Due DiligenceCIO Onboarding
IT Rationalization
Cloud Readiness
Create your baseline, Identify the
best candidates and execute your
onboarding roadmap into the cloud
Intro | demo
An Easy, Secure & Fast Process
ContributorsApp Owner, Team Leader…
SurveysSourcing, app age, criticality
Cloud Value drivers…
Code ScanJava, .Net, Objective-C,
PHP, ABAP, PL/SQL… 65Production
12Adaptability
87Complexity
Custom
App Type
10 FTE
Est. Maint.
64Business Val.
75
Cloudready
150 KTech debt
CLOUDREADY INDEXBASED ON AZURE REQUIREMENTS
Application Portfolio Analysis Process
Executive sponsorship
established through global
communication (i.e. email to all
project leads).
Init
iate
Scan
& A
ss
ess
App owners across the globe complete an
application survey and download agent from
Highlight portal to analyze code stacks. (5 to
20 minutes per app)
Step 1
Launch & Planning
Step 2
Distributed Analysis
Insi
ght
Consolidated insights on Applications software risks &
PaaS eligibility combined with Business drivers to design
and pilot the Azure journey with the Business
Step 3
Results interpretation & Recommendations
Missions2
Reduce
Time to Market
1Standardize Due
Diligence Process
3Maximize Value &
Reduce Cost
4Monitor
Roadmap Execution
The CloudReady Foundations
Outcome
Identify Cloud Quick-Wins
Define a business-driven and technology-aware Cloud roadmap
Estimate migration effort and technology barriers
Surveys
Application Business Context
Cloud Opportunity
Code Patterns
Technical Impediments
Feet in Azure
COBOL
Supported TechnologiesCloudReady Index available on J2EE/.Net Stacks
Agenda
• CAST Overview
• Highlight: Easy Business/IT Platform to accelerate Ramp-up & Value
added
• Demo
• Implementation Approach Example
• Product Overview details
Demos
Link to a 5 mn teaser on HL the Value for Final Customer (English)
Link to a 7 mn demo of Portfolio rationalization+Cloud Migration scenario (English)
Link to a 7 Mn demo of Portfolio rationalization+Cloud Migration scenario (French)
Agenda
• CAST Overview
• Highlight: Easy Business/IT Platform to accelerate Ramp-up & Value added
• Demo
• Implementation Approach Example
• Product Overview details
Rapid Portfolio Analysis using CAST Highlight
16
CUSTOMERSponsor / AO
Campaign Manager
CASTConsultant
Exec Sponsor to confirm the initiative
Appoint and Empower Campaign Manager (trained 2h by CAST)
Identify the scope of applications for the Campaign (J2EE,.Net, Cloud Value)
Ensure at high level that source code will be accessible for the Targeted apps
Create an Highlight Instance & Campaign with Apps, Names, Business Units
Customize business survey questionnaire (optional)
Exec Sponsor to send email to the App Owners to present the Initiative (*Temp1)
Generate emails to the AOs with the questionnaire & Link to the agent (*Temp2)
Collect source code, install Agent, run analysis, fill survey & upload results to Portal
Detailed review of results and answers in Portal and Check for consistency
Findings published on Portal
Interpretation of Results to define draft recommendations
Present findings from analysis to Executive Sponsor to decide next steps
Confirm the specific Cloud Journey insights from Highlight
*Sample emails generated by the platform. Sample are available on demand
R = RESPONSIBLE A = ACCOUNTABLE C = CONSULTED I = INFORMED V = VALIDATE
INIT
IATE
AN
ALY
ZEIN
SIG
HT
Envision a couple of days per Phase, depending mainly on Number/Distribution of app owners
Local Agent Technical Details
17
CAST Highlight agent typically runs on the Contributor’s desktop.
The following prerequisites need to be fulfilled for CAST Highlight agent to run:
– Microsoft Windows Operating System superior or equal to XP
– Microsoft Internet Explorer 9 or higher (not to be used in compatibility mode);
Firefox 9 or higher; Chrome
– Source code is available and stored in text files accessible from a Windows
machine (share drive)
No source code will be uploaded to the CAST Highlight portal.
– Only metrics will be uploaded.
• CAST Overview
• Highlight: Easy Business/IT Platform to accelerate Ramp-up & Value
added
• Demo
• Implementation Approach Example
• Product Overview details
Agenda
The CloudReady Foundations
Outcome
Identify Cloud Quick-Wins
Define a business-driven and technology-aware Cloud roadmap
Estimate migration effort and technology barriers
Surveys
Application Business Context
Cloud Opportunity
Code Patterns
Technical Impediments
Feet in Azure
The CloudReady Survey
How do you extract your application data
value?
By machine learning
By data analytics
By classic storage
What performance do you expect?
Number of users by peak
Number of users by frequency
Application responsiveness
Streaming and media services
How does your application interact?
Standalone (no interaction)
API exposed
Services exposed
How have you implemented application
security ?
Enterprise AD
Single Sign On
Multifactor Authenticator
What is the application data model?
Standard and supported as a service in the Cloud (PaaS)
Standard but not supported as a service in the Cloud (IaaS)
Proprietary but deployable in the Cloud (IaaS)
Not compatible in the Cloud
What is your evolution model and feedback
loop implementation ?
Waterfall
Continuous Delivery
DevOps
Dev/Test loop
Agile development
The CloudReady Survey
What is the level of deployment process
automation for provisioning & configuration?
No automation
Semi-automated
Fully-automated
What are the application dependencies?
No dependency
Internal services exposed through an API
Internal services not exposed
External services
What is the application type?
Mobile or Tablet application
Desktop application
Web application
Back-End application
What is the expected level of SLA?
No specifically defined SLA
SLA with maintenance timeframe
SLA with continuity of service
Is this application multi-tenant?
No (single-tenant)
Yes, multi-tenant front with a dedicated database
Yes, multi-tenant front with a dedicated
schema (with common database)
Full multi-tenant application
What is the average skill on Cloud technologies
and practices within your development team?
None
Basic knowledge
Advanced skills & experience
Experts
The CloudReady Code Patterns
Access Control List
Application Logs
Application Settings Configuration
Code Execution
Data Encryption Keys
Execution Environments
Inter-Application Messaging
Persistent Files
Registry Settings
Sensitive Data Protection
Service & Schedule Tasks
Shared Caching
Temporary Files
Third-Party Dependencies
User Authentication
Cloud Requirements
The CloudReady Code Patterns
• 50+ Code Patterns based on Azure Requirements
• For each Code Patterns:
A technology is attached (Java, C#, VB.Net)
Positive (Boosters) or Negative (Roadblocks) contribution to CloudReady
Criticality level (critical, high, medium, low)
Migration impact (code, framework, architecture)
The CloudReady Code Patterns - Samples
Impersonate Identity (C#)
Look in web.config for <identity impersonate="true“
Look in source code for impersonationOption.*
User Authentication Critical CFA
Access Control List (Java)
Detect usage of AclFileAttributeView
In package java.io.file.attribute
Access Control List Critical CFA
Azure KeyVault Encryption (C#)
Look in web.config for <identity impersonate="true“
Look in source code for impersonationOption.*
Data Encryption Keys Low None
The CloudReady Code Patterns - Samples
OS Dependencies (C#)
Detect usage of DLL imports, look in source code for DllImport(
Execution Environment High CF
Usage of Middleware (Java)
Look in source code for MSMQ or RabbitMQ or Tibco or MQSeries
Inter-Application Messaging Medium CFA
Application Logging Good Practices (C#)
Look in source code for Using System.Diagnostic
And Trace.WriteLine() or Trace.TraceError() or Trace.TraceInformation…
Application Logs Low None
The CloudReady Code Patterns - Samples
Usage of Azure CloudTable (Java)
Look in source code for import com.microsoft.azure.storage.table.*
Registry Settings
References of COM components (.Net)
Look in csproj for <COMReference include=
Look in source code for server.create.instance or ComImport(
Code Execution High CF
Usage of Redis framework (C#)
Look in source code for Using StackExchange.Redis
Shared Caching Low None
Low None
The CloudReady Index
234
Based on
Survey Answers
= +120 pts
200
Based on Positive
Code Patterns
Boosters Roadblocks
80
Based on Negative
Code Patterns
-
CloudReady
53.8Score Interpolation
Theoretical Min. Points
Application Score
Theoretical Max.
Points
= 234 pts
Score Interpolation
Theoretical Min. Points
Application Score
Theoretical Max.
Points
+18%
Code Patterns Score
45.6
Survey Score
The CloudReady Index
CloudReady
CloudReady Index across the entire App Portfolio
The CloudReady Index
CloudReady
Business Impact VS CloudReady Index
The CloudReady Index
CloudReady
CloudReady Index @ App Level
CloudReady
CloudReady Index – Details on the Survey Score
The CloudReady Index
CloudReady
CloudReady Index – Details on the Scan Score
www.casthighlight.com
Thank you