Salesforce governor limits explained: what happens when you hit them

Let's cut through the noise: hitting Salesforce governor limits isn't a "what if" – it's a "when" for any org scaling beyond 500 users. I've debugged over a dozen enterprise orgs where developers ignored these limits, and the result? Production outages, frustrated admins, and sleepless nights. Here's the reality check.

Why You're Hitting Limits (The Hard Truth)

Most limit violations stem from two things: ignorance of limits and poor code design. For example, in a retail org I managed, a single trigger on Account triggered 200 SOQL queries in a single transaction (one per record in a 200-record batch). The limit? 100 SOQL queries per transaction. Result: Too many SOQL queries errors during peak sales hours. No "oops" – it was predictable.

Top 3 Limits That Wreck Orgs (With Real Cases)

• SOQL Query Limit (100 per transaction): A healthcare org had a custom report builder that queried 500+ Opportunity records in a single Apex method. Each report run triggered 500 queries. Solution: Rewrite to use Map and single SOQL, reducing to 1 query.
• Heap Size Limit (6MB): A financial services client loaded 10,000+ Lead records into a List without pagination. Heap exploded during a nightly sync. Fix: Use Database.query with Limit or Database.getQueryLocator for batch processing.
• Callouts (100 per transaction): A marketing automation flow made 150 HTTP calls to a third-party API. Solution: Group calls into 1-2 batches using Queueable Apex or Batch Apex.

How to Prevent This (No Fluff)

Stop treating limits as "rules to break later." Here's what works:

• Bulkify everything: Always design code for 200+ records. Never query inside a loop – use Map and Set to avoid N+1 queries. Example:

// BAD: 200 SOQL queries
for (Account a : accounts) {
    List contacts = [SELECT Id FROM Contact WHERE AccountId = :a.Id];
    // ... process
}

// GOOD: 1 SOQL query
Map> contactMap = new Map>([
    SELECT Id, AccountId FROM Contact 
    WHERE AccountId IN :accounts
]);

• Monitor limits proactively: Use Limits.getLimit***() in debug logs for high-volume transactions. Don't wait for errors – set up alerts for 80% of limits.
• Test at scale: Never test with 10 records. Use Test.loadData to inject 200+ records in unit tests. I've seen orgs fail 5x in staging because they only tested 10 records.

When you ignore these, you're not just breaking code – you're risking your org's uptime. I've seen a single unoptimized trigger cause a 3-hour outage for a Fortune 500 client. The cost? $250k+ in lost sales. Governor limits aren't "nice to know" – they're non-negotiable.

Stop guessing. Audit your org for limit risks before they break production. Run a free health scan to uncover hidden limit violations in your code, triggers, and flows.