development model for the cloud
Post on 07-Nov-2014
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Development Model for the Cloud Paradigm Shift of the Same Old Same Old? Dr. Umit Yalcinalp, Salesforce.com Developer Evangelist
Computing History Reduce Complexity, Do More
Turing Machines
Assembly code
Programming Languages
Application Frameworks
Application Platforms
Application Servers
Scripting and Dynamic Languages
…
Striving Towards Less Complexity
Punch Cards
Cobol
C++
Platforms
Application Servers
Scripting and Dynamic Languages
…
Take Application Servers as an Example… Essential Built in services
– Load Balancing
– Memory Cache
– Transaction Management
– Connection management
Packaging a full app (war, ear, …) Security/Authentication
Messaging Infrastructure simplifies tasks
User management Monitoring and Management of Apps
Versioning Tooling and Composition
Integration APIs (WS, REST, …)
However Business App Dev Requirements stayed similar…
Develop an application that has m abstract entities. Define relationship between entities.
Display data subset j in a page and update data set if x is true.
Implement and Deploy an application that has n users where a user can belong to one of k different roles
Restrict access of data subset j to user role i when x is true.
If user role has made change p, notify user roles s.
Do {x, y, z, send email, fax, ….to m users} when f happens.
Do f every {day, week, …} when s … Generate report on … organized by …
Make the application extensible, customizable…
Deploy mobile client for app that maintain disconnected data for user using dataset x .
Integrate app with Twitter, feed, …
Integrate app with Payment System, …
Challenges in traditional way of developing apps remained…
Infrastructure Services: Hardware
Infrastructure Services: Operating System
Infrastructure Services: Database
Infrastructure Services: App Server
Application Services
Operational Services
Business Services
How do many developers make this happen?
Putting it together: Duct Tape!
Complexities Abound to Final Destination
Infrastructure Services
Network Storage
Operating System Database
App Server Web Server Data Center
Disaster Recovery
Application Services
Security Sharing
Integration Customization Web Services
API Multi-Language Multi-Currency
Integrated Workflow Analytics
Multi-Device Messaging
Search
Operational Services Authentication
Availability Monitoring
Patch Mgmt Upgrades Backup
NOC
Business Services
Ordering Provisioning
Licensing Billing
Renewal Upgrades Marketing
Sales
Application Ideas
Final App
Now comes along Cloud Computing Paradigm
The chatter and buzz on the street…
About developing services, platforms and applications
Don’t host but use hosted resources elsewhere Develop with hosted services, software, platforms
Pay as you go
Consume as you go Monitor and adopt
Applications Moving to the Cloud
Today Cloud Computing Applications
1960’s Mainframe
1980’s Client/server
Today Cloud Computing Platforms
1960’s Mainframe
1980’s Client/server
Platforms Moving to the Cloud
1980’s Work Group Computing
2000s Intranet
Computing
Collaboration Moving to the Cloud
Today Social
Computing
Lotus Notes Novell GroupWise
SharePoint Groove File Sharing
Throw in a lot of new technologies …
Map reduce
Column db
Worker task
Scheduler administration
Data service
What does this new paradigm offer to app developers?…
The Three AmigoS of Cloud Computing Cloud Computing Platforms
Software – Hosted apps, abstracting APIs, OS, Data storage…
Platform – Hosted collection of APIs, abstracting OS, data storage, …
Infrastructure – Hosting virtual servers, OS and some kind of data store
DAT
A
?!
?!
Abstractions and Services
They are all over the Map
Cloud Developer Concerns: Capabilities Managed Environment Abstraction Level
– Capabilities – Constraints
Managing the Managed Environment
Cost Indirectly Affecting Development
Lets Look at these Cloud Computing Platforms
Amazon WS
Microsoft Azure
Google App Engine (GAE)
Force.com
Services Available: Virtual OS instances EC2
Data Services – S3 – RDS
Additional Services: – Load Balancing Servers – Simple Queue Service – Elastic MapReduce
Processing Large Data Sets • Job Flows on top of Hadoop
– Different granularity of accessing data (i.e. Pig) • Monitoring Individual Task Progress
…
Developer Perspective
Hosting Locally Built Infrastructure Deployed Elsewhere
Hosting Locally Built Apps
Building Data Management Platform
Testing/Monitoring – Great Console for Infrastructure Monitoring – Deployed app still responsibility of developer
Amazon AWS Activity: Not about OS and simple data store anymore
Hosting – Existing Infrastructure Components: JEE, DB2, …(composed images)
– Traditionally built apps What do you build with it
– More infrastructure: DIY app server functions for scalability & composition
• Load Balancing
• Deciding when to take resources offline (in development testing)
– Low Level Data Services • Large Data Processing (must understand Hadoop…)
– Infrastructure Management Logic
Development Methodology: It Depends!
Managing/Debugging Your App: – Console (monitoring, debugging, management (upgrades, shutdown))
– Remote scripts managing specific to installed components
Microsoft Azure Platform: Hosting Azure applications on Microsoft Cloud Services for backend development (Old and New)
– Table (Data Storage) – Asynchronous Worker Tasks – SQL Azure
Develop/Deploy – Requires OS+Long list of Packages Installation Locally – Built/Test on local development environment
Entry Point for developers is Visual Studio – .NET libraries – Local debugging – Local packaging(.cspkg)/Manual deployment to location based Microsoft cloud
Management of Remote Servers/Services – Requires Server Logs Messages for managing
Very tailored to existing Microsoft developers – Java developer targeted with Third Party tools porting APIs
Google App Engine Services: Lean App Server Features
– JPA API for hiding BigTable – Connection support, Cron like jobs
– User Administration (Google accounts/Roll your own)
Backend development Basics – BigTable/GFS – Tasks Queues (experimental)
Built/Test on local development environment – Naturally independent of OS
– JRE + GAE
Managed Environment Limits
Entry Point: Eclipse – Develop Locally/Deploy war file Remotely
Remote Monitoring – System Logs
Multilanguage (Java/PHP)
Commonalities & Differences Emerge
Abstracted Large Data Set or SQL
Managed Environment Limits
Asynchronous Task/Process Management – Deal with Data Sets
– Working with Managed Environment Limits
Delineation of Development & Production
Art of “System Log” Recording and Monitoring
App Services and Application Requirements?
Where do the Application Requirements get addressed?
Next Level in PaaS:
– Infrastructure – Application Server Capabilities
Force.com Platform: Application Services + Integrated End2End Framework
Qua
rterly
Rev
enue
($M
)
Revenue through fiscal quarter ended 10/31/09
FY2005 FY2006 FY2007 FY2008 FY2009 FY2010
First Cloud Company to Exceed:
Annual Revenue Run Rate $1.3 Billion +
FY2006 FY2007 FY2008 FY2002 FY2003 FY2004 FY2005 FY2009 FY2010
Paying Customers
Strong Growth In New Customers
67,900+
Multi-tenant Automatic Upgrades Pay-as-you-go
Elastic
Application Development: 5X Faster At half the cost
The Cloud Computing Model
Force.com Platform for Building Applications
Three AmigoS and Force.com
Software: Applications on Salesforce.com Cloud
Platform
Infrastructure: Multitenant Kernel Data Storage ISO 20071 Certified Security Loan Balancing Replication & Recovery Transaction Management Sandboxed Application Trust (Status Monitoring
Customizable Extensible
Integration
Dev
elop
men
t Met
hodo
logy
Logic
User Interface
Analytics
Distribution
Platform - Force.com Philosophy:
• Common Things Simple Complex Things Possible
• Development Activity • Declarative • Programmable
• Metadata Driven with Shared Data Model
• Built in: Customizable UI, Analytics, Distribution, Workflows
• Iterative Development Paradigm: “See it as you build it”
• Application Sharing/Exchange
• Enforce Good Development Practices Development to Production: Testing
Data Model
Hello World?
Development Process
Create an “org”: Private on SFDC cluster – A collection of applications – Built on top of shared metadata
– Every org becomes live and pre-populated with metadata – Can accommodate > 1 developers depending on license
Develop/Test
If Sandbox, Complete Tests to Production
Register Custom URL/Expose as Website
“Package” specific app for AppExchange
Two Development Approaches:
Web Interface – What you build is what you see – Rapid Prototyping
Eclipse Plugin
The App is alive on the cloud
Application Data Model
LineItem Invoice Merchandise
Name
IsDeleted
…
• Text • LongText • RichText • Boolean • Number • Picklist (single or Multivalue) • … • Computed Fields
• Formula • Rollup
• Lookup: 1-m • Master-Detail: Hierarchical
SOQL: Object Oriented Query Language Metadata
Business Logic
Field Requiredness/Uniqueness
Audit History Tracking
Workflows Rules & Approval Processes
Declarative Logic (point and click)
Formula-Based Logic (spreadsheet-like)
Procedural Logic (code)
Formula Fields
Data Validation Rules
Workflows Rules & Approval Processes
Apex Triggers
Apex Classes
Declarative Workflow: Visual Process Manager
Data Model Realized in Default UI Unlimited Real-Time Customization
Custom Pages
Sites
Saw that even BigFoot is moving to the Cloud…
Next Stop Wonderland: Collaboration for the Enterprise
• One can follow any Entity just like a User • Same Development Paradigm with Any Entity in the platform
Developer’s Toolbox Language Runtime: Apex: Java, C# like language
– For creating CRUD Logic on Data Model (triggers)
– Executing Queries (SOQL and SOSL)
– Developing Controllers in conjunction with VF Pages
– Background Process Management • Scheduled Tasks
• Batch Processes for handling large data sets
Eclipse Plugin – Developed using WS APIs
– Retains only metadata locally
– Allows browsing metadata, dynamic SQL and code execution
– Remote execution, commit of metadata, dynamic code blocks
– Synchronizes live development with an org on the cloud
– Enables versioning locally with external tools
Developer
Integration Toolkits: – Force.com WS API language bindings in target languages, environments
Packaging Apps for Distribution – Within an org selecting an app
– Requires Test Implementation
Sandboxing – A snapshot of metadata (and data) of an existing org
– Requires testing to move to production
Integral Part of Development Process: – Testing Framework
– Governance Limits
Differences in Platforms
Degrees of Abstraction and Tight Integration with Data Model
Abstraction of Application Server Capabilities
Exposing Application Framework Capabilities
Data Model & Handling and Managing Large Data
Background Process & Task/Queue
Governance Limits
Level of Integration Support
Level of Management Needed from Developer
Tangible and Intangible Cost of using a platform
The Duct Tape Index for Cloud Platforms
Cloud Development Landscape Levels of Abstraction
Application Composition
Development Environment (local, remote, mixed)
Workflow
Development and Deployment Cycles
Customizability / Extensibility
Integration
Being a Good Citizen
Versioning
Monitoring
Cost of Trying out a Platform
The confusion should not be cloud developer’s epitaph
Where a developer wants to get…
Conclusion:
Choose Your Abstraction Level Wisely: – Flexibility(Roll Your Own) vs. Time to Develop(Managed) – Think long term
Being a Good Citizen is Not Optional
Logs and Monitoring Rules in Clouds
Q & A!
http://developer.force.com!Twitter: umityalcinalp !
Typical Development Cycle
Create your own image/Packaging – Bundle App Server/Application
Install/Manage Remotely
Monitor Deployed Services to scale and use – Are more servers needed? – Is a bigger database needed?
– Do I need to shut down my servers during development?
Manual Redeployment
User Interface: MVC Model Programmable User Interface
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