Strategies to Increase Salesforce Org Stability

Hello #Connection #SalesforceInterview #Question #2025 #Question: You have a high-volume Salesforce org where millions of records are processed daily. Your team notices performance issues with triggers, batch jobs, and integrations. How would you analyze and optimize the performance of these components while ensuring scalability? #Expected Answer: To optimize the performance of a high-volume Salesforce org, I would take a multi-layered approach, addressing triggers, batch jobs, and integrations separately while ensuring overall scalability. 1. Trigger Optimization: Bulkification: Ensure all triggers handle bulk operations using Trigger.New, Trigger.Old, and Maps/Sets for efficient processing. One Trigger per Object: Implement a Trigger Handler framework to centralize logic and prevent recursion issues. Use Asynchronous Processing: Offload heavy processing (e.g., API calls, complex calculations) to Queueable, Future, or Batch Apex. Selective Queries & Indexing: Use indexed fields, WHERE clauses, and avoid full table scans. Leverage Skinny Tables if necessary. Avoid DML inside Loops: Batch DML operations to avoid exceeding limits. 2. Batch Jobs Optimization: Reduce Query Load: Use incremental processing (query only new/updated records). Implement Selective SOQL filters using indexed fields. Tune Batch Size: Experiment with scopeSize (e.g., 200 for optimal performance). Monitor governor limits via Limits.getDMLStatements() & Limits.getQueryRows(). Parallel Processing: Use Queueable Apex or Parallel Batch Jobs for non-dependent operations. Implement Chaining but avoid overloading Queueable limits. Use Platform Events or CDC (Change Data Capture): For real-time processing instead of polling-based batch jobs. 3. Integration Performance (APIs & External Systems): Optimize Callouts: Use Continuation (for LWC) or Queueable (for Apex) for long-running external API calls. Implement caching (Custom Settings, Platform Cache) for static data to reduce API calls. Governor Limits Management: Reduce API calls by batching requests (e.g., Composite API, GraphQL). Use Asynchronous Apex (Future, Queueable) for non-critical operations. Streaming APIs for Real-Time Data: Implement Streaming API, Platform Events, or Pub/Sub API instead of periodic polling. 4. Monitoring & Troubleshooting: Apex Execution Logs & Debugging: Analyze logs using Event Monitoring, Apex Replay Debugger, or Log Analyzer. Use System.debug(Limits.getHeapSize()) to check memory consumption. Performance Monitoring: Use Salesforce Optimizer, Lightning Usage App, and Einstein Recommendations. Enable Debug Logs, Governor Limits Monitoring, and Transaction Security Policies. Query Performance: Run SOQL queries in Developer Console to check execution time. Use Query Plan Tool to identify indexing needs.

Most Salesforce orgs are drowning in technical debt and they don't even know it. Here's the brutal truth: McKinsey found that 10-20% of tech budgets get diverted to fixing technical debt. In Salesforce terms? That's your innovation and GTM budget going straight to firefighting instead of growth. The paradox is real, the more successful your Salesforce implementation, the more debt you likely accumulate. What does Salesforce technical debt actually look like? It's not just messy code. It's: -Unused fields cluttering your objects -Multiple triggers without frameworks -Legacy Process Builders and Flows you're afraid to touch -Hard-coded IDs breaking when you least expect it -Duplicate records making your reports unreliable The compound effect is brutal. Just like credit card debt, technical debt grows exponentially. Developers spend 23-42% of their time firefighting instead of innovating. Performance suffers. User adoption drops. Costs skyrocket. Here's your way out: The CLEAR Methodology 1. Classify - Categorize debt by type and urgency 2. List - Create a detailed inventory 3. Evaluate - Assess cost vs. business value 4. Act - Implement in prioritized phases 5. Review - Monitor and prevent new accumulation Start with quick wins: Remove unused fields. Consolidate duplicate reports. Clean inactive users. These high-impact, low-effort moves build momentum. 2025 game-changer: AI-powered tech debt management Agentforce needs solid clean data and efficient processes. AI tools can now automate code analysis, predict maintenance needs, and suggest refactoring, turning debt management from reactive to proactive. The shift-left principle applies here: The earlier you identify debt, the cheaper it is to fix. Don't wait until your org becomes unmaintainable. What's your next step? Start to audit your Salesforce org today to assess how bad it is. Technical debt doesn't have to kill your Salesforce ROI. With the right strategy, transform your org from a source of frustration into a competitive advantage. What's your biggest Salesforce technical debt challenge right now? Drop a comment and share: - The debt that's causing you the most pain - A solution that's worked for your team - What's holding you back from tackling it Let's turn this comment section into a technical debt solutions exchange. Your experience could be exactly what someone else needs to hear. #Salesforce #TechnicalDebt #SalesforceAdmin #SalesforceDeveloper #CLEAR

4 Salesforce technical debt to work on in 2025 (Give your org some TLC) Technical debt creation is inevitable. But like any debt, there comes a time you need to pay it back. If you don't, you'll pay "interest”. It becomes higher as you wait longer. The sooner you catch problems, the cheaper it is to fix them At some point, it becomes critical: → The development team gets slowed down → It causes org crashes →Your ability to use Salesforce features becomes limited. Don't wait until that point. Identify them and work on them now. Here are a few aspects you should stop ignoring: 1. Stop ignoring unused fields and objects. → More fields, more headache when troubleshooting. → You might be hitting the limits. How to eliminate: ✅ Run a field and object usage report using Field Trip (AppExchange). ✅ Identify unused ones and archive or delete them. ✅ Keep only what adds value to reporting and automation. 2. Stop relying on outdated automation. → Workflow Rules and Process Builder are deprecated at the end of the year. → Those old Visualforce pages?... Time to say goodbye → They are inefficient and resource-consuming How to eliminate: ✅ Audit all workflows, process builders VFP, and maybe even triggers (Flows/Apex). ✅ Migrate legacy automation to Flow/Apex for better performance (Split to Before/After Save) ✅ Consolidate redundant processes, remove irrelevant archival logic. 3. Stop neglecting data quality. → Don't say "We’ll clean it up later”... Later is now. → To get the most out of AI, this is a must. How to eliminate: ✅ Implement required fields, visibility filters, and validation rules to prevent bad data. ✅ Schedule regular deduplication and data enrichment. ✅ Monitor with reports crucial data. 4. Stop hoarding old reports and dashboards. → More reports don't mean more insights. → Too much clutter hides the valuable items. How to eliminate: ✅ Identify reports with zero recent views (LastViewedDate, LastRunDate fields). ✅ Consolidate duplicates and outdated dashboards. ✅ Move reports to folders Clean up your Salesforce org now. Future you will thank you. Which of these is the biggest issue in your org right now? --- Found this helpful? Like 👍 | Comment ✍ | Repost ♻️

Flow first isn’t always the best advice. Sometimes clicks create more risk than code. A lot of teams treat Salesforce automation like a religion: admins pick Flow, devs pick Apex, and everyone defends their side. That’s the mistake. The real skill is choosing the simplest tool that won’t collapse under scale, complexity, or edge cases. Here’s what no one tells you: 1. Start with Flow for simple + admin-owned work → Field updates, notifications, basic record creation, and guided screen experiences ship faster with clicks. 2. Use before-save flows for efficient record updates → They reduce extra DML and stay clean when the logic is straightforward. 3. Reach for Apex Triggers when logic gets non-linear → If you need maps/sets, dynamic branching, or complex cross-object rules, code stays readable and controllable. 4. Plan for volume, not just today’s data → Triggers handle large batches more reliably; flows can hit CPU/element limits under load. 5. Don’t ignore “undelete” and advanced transaction needs → Flows can’t run on undelete, and triggers give better options for error handling and traceability. 6. Debugging matters more than building → Flow fault paths are helpful, but Apex enables richer logging, try/catch patterns, and clearer root-cause analysis. Read Exception Path in Flows - https://lnkd.in/ghkv4ymk 7. Avoid stacking multiple automations without a plan → Mixing many flows and triggers on one object can create unpredictable order-of-execution surprises. 8. Use a hybrid when you need both speed and power → Let Flow orchestrate, then call invocable Apex for the heavy lifting. 9. Trigger / Apex Codes require min 75% code coverage → Apex codes require you to write test class with minimun 75% coverage Good automation isn’t about being “no-code” or “all-code.” It’s about building something your org can maintain, scale, and trust—six months from now, not just in today’s sprint. Read more about flows here: https://lnkd.in/gPQP29CN ♻️ Reshare if you find this useful 👉 Follow me for more practical Salesforce build decisions. #Salesforce #SalesforceAdmin #SalesforceDeveloper #Apex #SalesforceFlow #CRM #Automation #DevOps #EnterpriseSoftware #Architecting

It’s cheaper than you think to fix a "broken" Salesforce. When your Orgs become a labyrinth of Validation Rules and "Zombie" Flows, the instinct is to bail. We tell ourselves it’s too far gone, that we need a Greenfield Org to survive. But a fresh start is a multi-million dollar gamble. Usually, you don’t need a new Org; you just need to start Pruning. 1) Quality of Life: It’s for Users, not just Devs We often view "Technical Debt" as a back-end problem. In Salesforce, technical debt *is* the User Experience. Simple pruning delivers immediate Quality of Life wins for the people actually closing deals: * Page Load Speed: Deleting unused fields and collapsing "Ghost" Related Lists makes records snap into view. * Automation: Pruning some of the redundant flows and "Shadow" automation stops those random errors that drive Sales reps crazy. * Search Relevance: Removing 50k unused Accounts makes global search actually return what users are looking for. The "4-Week Org Flush" For a small-to-medium Salesforce footprint, you don't need a year-long migration. A four-week dedicated sprint with a focused Admin/Dev team can clear the worst of the clutter. The Bottom Line Greenfield projects are where budgets go to die. Focused Cleanup is where ROI lives. You can give your users a "New Org" feel in a single month by simply removing the weight of the past. Before you call a consultant for a $500k migration, try four weeks of aggressive pruning. Your users (and your CFO) will thank you.

If I had 30 days to fix your Salesforce, here’s exactly what I’d do. Most teams “tune” Salesforce forever. If I only had a month with your business, I’d ignore the nice‑to‑haves and focus on 5 things: 1. Map the real process (not the slide deck) - Sit with sales / ops and write the actual steps on a whiteboard. - Rebuild stages and fields in Salesforce to match reality, not what the last partner thought “should” happen. 2. Make Salesforce the single source of truth - Kill parallel spreadsheets for pipeline and “shadow” ops trackers. - Move quotes, contracts and key docs into Salesforce so the work happens in the system, not around it. 3. Strip the friction out of daily use - Cut fields to the minimum viable data needed to move a deal. - Make updating an opportunity, logging an activity or generating a quote a 10‑second job, not a 3‑minute chore. 4. Automate the “moments that matter” - Follow‑ups, handoffs and renewals triggered by stage changes and dates, not memory. - Tasks and notifications go to the right person at the right time without Slack chasing. 5. Give leadership one forecast they actually trust - No more “export to Excel and fiddle with it.” - One dashboard that tells you: what’s closing this month, where deals are stuck, and how accurate your forecast really is. On a recent project, doing this took Salesforce adoption from ~20% to 85% in 6 weeks and moved forecasting from “educated guess” to within 5–10% of reality. Same licences. Same team. Different design. If you’re reading this thinking “we’d fail at least two of these,” comment “BLUEPRINT” or DM me “Blueprint.” I’ll send you a link to book a 15‑minute Salesforce Blueprint call where we’ll: - Score your org against these 5 steps - Identify the biggest leaks in adoption and forecast accuracy - Outline what a focused 4‑week fix could look like for your team No slides. Just me, your Salesforce, and a clear plan to turn it into the operating system it should’ve been from day one.

Record-triggered Flows are powerful — but if not designed carefully, they can slow down your org and cause unexpected behavior. Over time, I’ve learned that optimization isn’t about making Flows prettier — it’s about making them smarter. Here are 5 ways to optimize Record-Triggered Flows for performance and scalability 👇 1️⃣ Use Entry Criteria Wisely Don’t run Flows on every record change. Use conditions like “ISCHANGED()” or specific field updates to minimize unnecessary executions. 2️⃣ Combine Flows per Object Salesforce recommends one Flow per object (per trigger type). Having multiple Flows for the same object increases runtime and debugging complexity. Consolidate logic using Decision elements or Subflows. 3️⃣ Avoid “Get Records” in Loops Each “Get Records” call inside a loop is a potential performance hit. Fetch data once, store it in a collection variable, and reference it within the loop. 4️⃣ Use “Fast Update” or “Fast Delete” Elements For large data updates, replace standard Update Records with Fast Update. It processes data in bulk instead of per record. 5️⃣ Monitor Flow Interviews and Debug Logs Use the Flow Interview logs and Debug Mode to identify execution bottlenecks. Look for unnecessary screen refreshes, repeated elements, or data calls. “A well-optimized Flow isn’t the one that runs the fastest — it’s the one that runs only when it should.” As Salesforce continues to make Flows the core of automation, performance and maintainability matter more than ever. #Salesforce #FlowBuilder #Automation #TrailblazerCommunity #SalesforceDeveloper #BestPractices #AdminLife #CRM

Most Salesforce orgs are not AI-ready. Not because they can't afford Agentforce. Not because they need Data Cloud. Because their data is a mess and nobody wants to say it out loud. Flows fail. Einstein scores garbage. Agentforce agents confidently work with wrong information. The AI isn't broken. Your data is. AI doesn't know when data is wrong. It just uses it. The fix is unglamorous. 10 validation rules. Most take under 5 minutes to set up.  • Block overdue close dates on open deals, scoped to open stages only  • Require Amount on Closed Won, catches the one thing that breaks every forecast  • Lock closed records, ISCHANGED() stops reps from quietly editing history  • Block negative or absurd amounts, set your own ceiling based on your ACV  • Enforce field relationships, Contract Start Date can't precede Close Date  • Require at least one contact method, no email AND no phone means your outreach agents have nothing to work with  • Block mutually exclusive checkboxes, New Business and Existing Customer Upsell can't both be TRUE  • Enforce email format, REGEX stops junk like "n/a" or "test@" from poisoning your outreach automations  • Require Lead Source on every Lead save, not just at conversion. Simpler and more reliable  • Block contradictory picklist combos, Stage = Prospecting and Type = Renewal cannot coexist The orgs that will get real ROI from AI in 2026 aren't the ones with the biggest budgets. They're the ones where bad data is structurally impossible to enter. Full guide with formulas and real-world scenarios in the doc below. Which of these does your org currently not have running? #Salesforce #SalesforceAdmin #SalesforceAI #Trailblazer #SalesforceTips

Client said their Salesforce org was slow. They blamed Apex, triggers, limits. Reality? Chaos. 47 flows on one object. Duplicate automations. Temporary fixes still alive. Triggers calling triggers. We didn’t optimize. We deleted. Removed 30% automation. Simplified logic. Result? 60% faster. Happier users. Fewer bugs. Truth: In Salesforce, adding automation feels productive. But removing unnecessary automation is where real performance lives. Build less. Think more. #Salesforce #CleanCode