The “science” part of software development makes applications predictable, structured, and reliable. It ensures that the app you’re using doesn’t crash every few minutes and performs consistently under different conditions.
Software Development Life Cycle (SDLC):
Every product goes through well-defined phases:
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Requirement Analysis – Understanding user needs and business goals.
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Design – Creating the architectural blueprint of the system.
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Implementation – Writing the actual code.
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Testing – Validating functionality under real-world conditions.
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Deployment – Releasing the product to users.
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Maintenance – Updating, fixing, and improving the system.
Skipping steps (for example, ignoring testing) can lead to catastrophic results later in the product’s lifecycle.
Agile and DevOps:
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Agile emphasizes small, incremental progress with continuous feedback loops. Instead of delivering software once a year, teams deliver new features every 2–3 weeks.
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DevOps integrates development and operations, ensuring that code moves quickly and safely from a developer’s laptop to production servers.
CI/CD Pipelines:
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Continuous Integration (CI): Every time a developer writes code, it is automatically tested to detect issues early.
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Continuous Delivery (CD): Successfully tested code is automatically deployed to production environments.
Example: Netflix uses CI/CD pipelines to release thousands of changes per day without service downtime.
Scalability, Maintainability, and Performance:
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Scalability: Can the system handle one million users tomorrow?
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Maintainability: Will the next engineer be able to understand and improve your work years later?
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Performance: Does the system respond instantly, or does it make users wait?
Testing and Quality Assurance:
Thorough testing prevents billion-dollar mistakes.
Example: Amazon optimizes its systems to prevent even a one-second delay, as such delays could cost millions in lost sales.
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