Most Salesforce orgs don't fail at launch — they fail two years later when nobody can maintain them. The difference between a CRM that scales and one that becomes a liability comes down to a handful of development disciplines that elite teams treat as non-negotiable. At RASPSYS, these are the standards we hold every engagement to from day one.
Respecting Governor Limits Before They Bite
Salesforce enforces strict governor limits on SOQL queries, DML operations, CPU time, and heap usage — and they exist for a good reason. Shared multi-tenant infrastructure means your code can't monopolize resources. Developers who ignore these limits in early builds pay an enormous price when data volumes grow and the org starts throwing System.LimitException errors in production.
The fix isn't a workaround — it's discipline. Every Apex class should be written with the limit ceiling in mind from the first line. That means never querying inside loops, never making callouts synchronously when async will do, and always profiling code paths in a representative data sandbox before shipping to production.
RASPSYS engineers are trained to build governor-limit-aware code by default. We run limit analysis as part of every code review cycle, not as an afterthought. Clients never get a nasty surprise six months after go-live.
See how RASPSYS builds governor-safe Apex from the ground up →
Bulkification: Write Code That Handles Any Volume
Triggers that work fine on a single record will collapse the moment a data import pushes 10,000 records through. Bulkification — writing Apex that processes collections of records rather than individual ones — isn't optional. It's the minimum bar for production-grade Salesforce development.
Poorly bulkified code is one of the most common causes of org degradation we see when RASPSYS takes on remediation work. The pattern is always the same: a trigger written for small record volumes, no one stress-tested it, and now batch jobs are timing out across the org.
Every trigger, batch class, and flow invocation written by RASPSYS handles bulk record sets by design. We test against lists, not single records. When your business runs a mass campaign update or migrates legacy data, the org doesn't flinch.
- Triggers always operate on
Trigger.newandTrigger.oldas collections - SOQL queries are executed outside loops — always
- DML statements use list-based operations instead of single-record saves
- Batch Apex is used for processing large data sets asynchronously
- Platform Events replace synchronous callouts wherever throughput matters
Talk to RASPSYS about bulkification-first Salesforce development →
Let RASPSYS Engineer Your Salesforce Org for Scale
Whether you're starting fresh or fixing an org that's already struggling, RASPSYS delivers Salesforce development built on the practices that actually hold up at scale. Serving clients across the UK, US, UAE, Canada, and Australia.
Test Coverage That Actually Means Something
Salesforce requires 75% test coverage to deploy Apex to production. That minimum is dangerously easy to game — developers write assertions-free tests that inflate the percentage without validating a single business outcome. RASPSYS holds a higher standard: meaningful coverage with assertions, not just code execution.
Every test class we write validates actual data state after operations. We test positive paths, negative paths, and bulk scenarios. Edge cases — null values, empty collections, user permission contexts — are explicitly covered. Our goal is tests that catch real bugs before deployment, not tests that exist to satisfy a deployment check.
- Minimum 85% test coverage across all custom Apex
- Every test class uses
System.assertandSystem.assertEqualsmeaningfully - Bulk test scenarios run against 200+ record sets
- User context tests confirm permissions and sharing rules
- Negative test cases confirm graceful error handling
- Test data factories keep setup code clean and reusable
Explore RASPSYS quality standards for Salesforce delivery →
Separation of Concerns and Clean Architecture
One of the fastest ways to make a Salesforce org unmaintainable is to pack business logic directly into triggers. A single trigger file that spans 600 lines and handles every scenario for an object is a maintenance nightmare. When requirements change — and they always do — there's no clean place to make the edit without risk of regression.
The industry-standard approach is clear separation: triggers handle invocation only, handler classes own the orchestration logic, and service classes carry the business rules. This pattern — popularised by the Apex Enterprise Patterns — makes code testable, readable, and safe to extend. RASPSYS follows this architecture on every engagement, regardless of org size.
Clean architecture is also a talent retention strategy for your team. When code is well-structured, onboarding new developers is fast. When it isn't, tribal knowledge becomes the only way to survive changes — and that's a risk no business should carry.
- One trigger per object — handler classes manage the logic
- Service layer isolates reusable business logic
- Selector classes centralise all SOQL queries
- Domain classes enforce object-level rules and validations
See RASPSYS architecture principles in action →
Sandbox Discipline and Deployment Governance
No change should ever be developed directly in a production org. It sounds obvious, yet RASPSYS regularly encounters clients whose orgs have been modified in production because "it was urgent." That urgency creates untested configurations, missing metadata dependencies, and deployments that break other components in ways nobody anticipated.
Proper sandbox discipline means maintaining a hierarchy: developer sandboxes for individual work, a full sandbox for integration testing, and a UAT sandbox for business sign-off before any code touches production. Change Sets or a source-driven CI/CD pipeline — using tools like Salesforce DX and GitHub Actions — should govern every promotion. RASPSYS implements this infrastructure at the start of every project, not as an optional extra.
Deployment governance also includes version control. Every configuration change, every Apex class, every Flow — tracked in source control with meaningful commit messages. When something breaks in production, there's a clear history of what changed and who changed it. That auditability isn't just good practice; it's essential for regulated industries and enterprise clients.
- Three-tier sandbox hierarchy: Dev, Full Sandbox, UAT
- All metadata tracked in version control (Git)
- CI/CD pipelines enforce automated testing before promotion
- No manual edits to production outside emergency protocols
- Deployment checklists reviewed and signed off before every release
Build a governed Salesforce delivery process with RASPSYS →
Ready to Build Salesforce the Right Way?
RASPSYS delivers Salesforce development that holds up at scale — governed, tested, and architected for growth. We partner with businesses across the UK, US, UAE, Canada, and Australia. Book a free consultation and let's map out what a best-practice Salesforce org looks like for your team.