Real-World Apex Best Practices

Share

What Does “Production-Ready Apex” Mean?

Short Description

Production-ready Apex is code that:

  • Works correctly at scale

  • Handles errors safely

  • Respects security & governor limits

  • Is easy to test, debug, and maintain

Simple Explanation

Production-ready code is not just “working code”—it’s safe code.


Gist (Quick Revision)

Production Apex must be secure, scalable, and maintainable.


1. Production-Ready Coding

Key Principles

  • Bulk-safe by default

  • No hardcoding

  • Clear structure & naming

  • Strong error handling


Real-World Example

Processing 1 record vs 200 records must behave the same way.


Example: Production-Ready Pattern

public class AccountService {
    public static void updateRatings(List<Account> accounts) {
        for (Account acc : accounts) {
            acc.Rating = 'Hot';
        }
        update accounts;
    }
}

Why this is production-ready

  • Bulkified

  • Single DML

  • Reusable logic


Gist (Quick Revision)

Write Apex assuming maximum data volume and real users.


2. Common Apex Mistakes (Avoid These)

❌ Mistake 1: SOQL or DML Inside Loops

// Causes governor limit errors

❌ Mistake 2: Hardcoding Values

Decimal tax = 0.15; // bad

Use Custom Metadata instead.


❌ Mistake 3: Ignoring Security

  • No CRUD/FLS checks

  • Using without sharing blindly


❌ Mistake 4: Fat Triggers

  • Business logic inside triggers

  • No handler framework


❌ Mistake 5: Writing Tests Only for Coverage

  • No assertions

  • No negative testing


Gist (Quick Revision)

Most Apex failures come from limits, security, and poor structure.


3. Scalability Considerations

What Is Scalability?

Scalability means your code works:

  • Today with 100 records

  • Tomorrow with 1 million records


Scalability Best Practices

1. Bulkify Everything

Always assume triggers receive lists, not single records.


2. Use Async Apex

  • Queueable

  • Batch

  • Scheduled jobs

    System.enqueueJob(new LargeDataProcessor());
    

3. Reduce Repeated Work

  • Cache reusable data

  • Reuse query results

  • Avoid recalculation


4. Design for Change

  • Service layer

  • Custom Metadata

  • Configuration-driven logic


Real-Life Example

Instead of recalculating discounts per record:

  • Calculate once

  • Reuse value


Gist (Quick Revision)

Scalable Apex minimizes work and spreads heavy processing safely.


? Career Coach Advice (Interview-Ready)

Interviewers love this question:

“How do you ensure Apex is production-ready?”

Strong answer:

“I bulkify all logic, avoid hardcoding, enforce security, use async processing for scale, and follow clean architecture patterns.”

That response signals real-world Salesforce experience.


✅ Final Takeaway

Great Apex developers think beyond the happy path.

Production-ready Apex anticipates failures, scale, and change.

  • January 6, 2026