Salesforce Well-Architected Returns: News & Data Model Tips

Introduction: Salesforce Well-Architected Returns

The Salesforce Well-Architected Framework is a set of best practices designed to help organizations build scalable, secure, and high-performing Salesforce implementations. As businesses increasingly rely on Salesforce for mission-critical operations, ensuring a well-architected system is crucial for long-term success.

In this blog, we’ll explore the latest Well-Architected Returns updates, key data modelling tips, and best practices to optimize your Salesforce org. Whether you’re an architect, admin, or developer, these insights will help you maximise efficiency and minimise technical debt.

1. Understanding the Salesforce Well-Architected Framework

The Well-Architected Framework is built on six key pillars:

1. Operational Excellence: smooth deployments, monitoring, and incident response.
2. Security & Compliance – Protects data integrity and meets regulatory requirements.
3. Performance & Scalability – Optimises system speed and handles growth efficiently.
4. Reliability – Ensures high availability and disaster recovery.
5. Cost Optimization – Reduces unnecessary expenses in licensing and storage.
6. Sustainability – Minimises environmental impact through efficient resource usage.

Salesforce continuously updates this framework to align with evolving cloud architecture trends.

2. Latest News in Salesforce Well-Architected Returns

A. Health Check Tools

Salesforce has introduced improved health check dashboards that provide deeper insights into the following:

• Security settings (e.g., password policies and session settings).
• Performance bottlenecks (e.g., inefficient SOQL queries and workflow rules).
• Compliance risks (e.g., GDPR and HIPAA alignment).

B. AI-Driven Recommendations

With Einstein AI, Salesforce now offers automated, well-architected recommendations, such as the following:

• Unused custom fields that can be archived.
• Duplicate processes that can be consolidated.
• Optimised data storage to reduce costs.

C. New Integration Best Practices

Salesforce emphasises MuleSoft and Event-Driven Architectures (EDA) for seamless integrations. Key updates include:

• Real-time event monitoring for better reliability.
• API governance to prevent rate-limiting issues.

3. Data Model Optimization Tips

A well-designed data model is the backbone of a high-performing Salesforce org. Below are key strategies to optimize your data architecture.

A. Standard vs. Custom Objects

• Leverage standard objects (accounts, contacts, and opportunities) whenever possible.
• Use custom objects sparingly—only when business logic demands it.

B. Relationship Types: Master-Detail vs. Lookup

• Master-Detail – Use when child records should cascade and delete with the parent.
• Lookup – Use for optional relationships in which records should remain independent.

C. Indexing for Performance

• Add custom indexes on frequently filtered fields (e.g., status, priority).
• Avoid indexing fields with low selectivity (e.g., Boolean fields).

D. Archiving & Data Lifecycle Management

• Use Big Objects for historical data (e.g., logs, audit trails).
• Leverage Salesforce Data Archive to move stale records to cheaper storage.

E. Avoiding Data Skew

• Account & user record skew can degrade performance.
• Mitigation strategies:
  • Use sharing rules instead of manual sharing.
  • Distribute workload across multiple owners.

4. Security & Compliance Best Practices

A. Field-Level Security (FLS) & Object Permissions

• Restrict access using profiles & permission sets.
• Avoid “View All” and “Modify All” unless necessary.

B. Encryption & Data Masking

• Use Shield Platform Encryption for sensitive data (PII, PCI).
• Dynamic data masking hides sensitive information from unauthorised users.

C. Compliance Automation

• Use the Compliance Center to track GDPR, CCPA, and other regulations.
• Automate data retention policies to auto-delete expired records.

5. Performance Optimization Techniques

A. Query Optimization

• Use selective SOQL queries (avoid SELECT *).
• Leverage LIMIT and WHERE clauses to reduce data load.

B. Bulkification & Asynchronous Processing

• Use Batch Apex for large data operations.
• Queueable Apex is better for chained async jobs.

C. Caching Strategies

• The platform cache reduces repeated calculations.
• Lightning Data Service (LDS) minimises server calls in Lightning.

6. Cost Optimization Strategies

A. Storage Management

• Archive unused files & records to reduce storage costs.
• Monitor Data & File Storage in Setup > Company Information.

B. Licence Optimisation

• Audit inactive users and downgrade licenses if possible.
• Use permission sets instead of multiple profiles.

C. Automate Cost Tracking

• Salesforce Optimiser identifies unused features.
• Einstein Analytics predicts future storage needs.

7. The Future and Trends for Salesforce Architecture

A. Hyperforce & Multi-Cloud Deployments

• Hyperforce enables flexible cloud deployments (AWS, Azure).
• Multi-cloud strategies improve resilience.

B. AI & Predictive Analytics

• Einstein GPT auto-generates well-architected recommendations.
• Predictive scaling adjusts resources dynamically.

C. Low-Code & Pro-Code Balance

• Use Flow for simple automations.
• Apex for complex logic.

Conclusion

The return of Salesforce Well-Architected brings a renewed focus on building scalable, secure, and efficient solutions. With updated guidance and best practices, teams can better align architecture with business goals. Leveraging its data model validation tips ensures stronger governance and cleaner implementations.