Key Points
by Donis Marshall and John Bruno
Solid Code: Optimizing the Software Development Life Cycle
- Solid Code: Optimizing the Software Development Life Cycle
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- Recommendations for Solid Code
- Foreword
- Acknowledgements
- Introduction
- 1. Code Quality in an Agile World
- Traditional Methods of Software Development
- Agile Methods of Software Development
- Moving Quality Upstream
- Inside Microsoft: Windows Live Hotmail Engineering
- Tactics for Writing Solid Code
- Summary
- Key Points
- 2. Class Design and Prototyping
- 3. Metaprogramming
- 4. Performance Is a Feature
- Common Performance Challenges
- Analyzing Application Performance
- Tactics for Improving Web Application Performance
- Incorporating Performance Best Practices
- Inside Microsoft: Tackling Live Search Performance
- Summary
- Key Points
- 5. Designing for Scale
- Understanding Application Scalability
- Tactics for Scaling Web Applications
- Inside Microsoft: Managing the Windows Live Messenger Service Infrastructure
- Summary
- Key Points
- 6. Security Design and Implementation
- Common Application Security Threats
- Principles for Designing Secure Applications
- SD3+C Strategy and Practices for Secure Applications
- Secure by Design
- Implement Threat Modeling and Risk Mitigation Tactics
- Apply Best Practices to Application Design
- Apply .NET authentication and authorization mechanisms
- Encrypt sensitive data
- Assume external applications and code is insecure
- Design to fail, and fail securely
- Handle errors and exceptions securely
- Implement least privilege
- Implement privilege separation
- Sanitize input
- Validate security coding best practices with FxCop
- Incorporate security-focused code reviews
- Secure by Default
- Secure in Deployment and Communication
- Secure by Design
- Understanding .NET Framework Security Principles
- Additional Security Best Practices
- Summary
- Key Points
- 7. Managed Memory Model
- 8. Defensive Programming
- 9. Debugging
- 10. Code Analysis
- 11. Improving Engineering Processes
- 12. Attitude Is Everything
- A. Agile Development Resources
- B. Web Performance Resources
- About the Authors
- Index
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Scalable applications can handle increased usage or data
Choose scalable application designs
Design simple application architectures
Design to scale out
Partition data effectively
Design application infrastructure to scale
Load balance with hardware
Choose the appropriate hardware
Use common cluster configurations
Scalable applications are always available and fault tolerant
Defend against application failure
Ensure that the application is fault tolerant
Build redundancy into the application
Insulate against dependency failures
Scalable applications are manageable and maintainable
Ensure manageability and maintainability
Instrument the application code
Establish key live site metrics and goals
Plan for disasters
Invest in change management
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