The Vantage View | Salesforce

Salesforce Scale Center and ApexGuru: What Admins Must Do Now to Improve Org Performance

Written by David Cockrum | Jun 1, 2026 12:00:03 PM

Salesforce Scale Center and ApexGuru: What Admins Must Do Now to Improve Org Performance

Meta description: Salesforce Scale Center and ApexGuru give admins and developers near real-time performance visibility, AI-powered Apex recommendations, and on-demand insights. Learn what changed, who is affected, and how to activate them.

Suggested slug: blog/sf/salesforce-scale-center-apexguru-org-performance-guide

TL;DR / Key Takeaways

Question Answer
What is it? Salesforce Scale Center is an application performance monitoring and scale observability tool for Salesforce orgs. ApexGuru is an AI-powered Scale Center capability that analyzes Apex code and highlights performance bottlenecks, anti-patterns, and governor-limit risks.
Key benefit Admins and developers can move from reactive troubleshooting to proactive org health management with near real-time metrics, on-demand insights, performance comparisons, and prioritized code recommendations.
Cost / investment Salesforce says Scale Center and ApexGuru are available at no additional cost for supported orgs, including production and full copy sandboxes across major editions. The larger investment is governance: access, triage cadence, development workflow, and remediation ownership.
Best for Salesforce admins, architects, developers, release managers, COE teams, and leaders responsible for performance, scalability, technical debt, or high-volume Salesforce applications.
Bottom line If your org has custom Apex, complex automation, large data volumes, critical reporting, or user complaints about slowness, Scale Center and ApexGuru should become part of your admin and release-management operating model now.

Salesforce is expanding access to two products that should be on every admin and technical leader's radar: Scale Center and ApexGuru.

In a May 2026 customer success notification, Salesforce described Scale Center as its application performance monitoring product for near real-time org performance metrics, root cause analysis, performance investigations, and performance comparisons. The same notice positioned ApexGuru as a generative AI-powered capability inside Scale Center that analyzes Apex code for performance bottlenecks, anti-patterns, and governor-limit risks.

For Vantage Point clients, the important takeaway is practical: performance management is no longer something teams should reserve for escalation calls, annual health checks, or major outages. Salesforce is giving admins, developers, and architects more self-service visibility into why an org feels slow, what changed after a deployment, where technical debt is accumulating, and which optimizations are likely to matter most.

What changed with Scale Center and ApexGuru?

Salesforce has broadened access to Scale Center and ApexGuru, added more on-demand insight capabilities, and brought ApexGuru closer to the developer workflow.

The Salesforce notification highlighted several updates:

  • Expanded edition access: Scale Center and ApexGuru are now generally available for major Enterprise Edition and Professional Edition orgs, in addition to the broader Scale Center availability described in Salesforce Help.
  • Production and full copy sandbox coverage: Teams can use the tools not only to investigate live issues, but also to compare performance before and after testing or release activity.
  • Partner and ISV support: Salesforce noted availability for partners and Independent Software Vendors, plus default enablement for new Large Data Volume orgs.
  • On-demand insights: Salesforce stated that all Scale Insights, including ApexGuru, are now available on demand.
  • Expanded insight categories: Salesforce called out Org Overview, Lightning Performance Insights, Database Insights, Deployment Insights, and ApexGuru recommendations.
  • Developer workflow integration: ApexGuru is now integrated with Salesforce Code Analyzer and can surface insights in agentic development environments through Salesforce DX MCP.

The pattern is clear: Salesforce wants performance insight to move earlier in the lifecycle, closer to admins, developers, architects, and release teams.

What is Salesforce Scale Center?

Scale Center is Salesforce's self-service performance and scalability workspace for diagnosing org health, investigating performance issues, and acting on scale risks earlier.

Salesforce Help describes Scale Center as a way to diagnose root causes and act on scale issues earlier in the development cycle. It gives teams access to org performance metrics and performance analysis reports.

In practice, Scale Center helps teams answer questions like:

  • When did performance start degrading?
  • Did request volume, application CPU, database CPU, row locks, or errors spike?
  • Did a deployment introduce a performance regression?
  • Are specific reports, searches, database operations, or Lightning pages causing user friction?
  • Which issues should the admin team solve through configuration, and which need developer remediation?

Scale Center is especially useful because it gives admins a shared evidence base. Instead of relying on user anecdotes, screenshots, or support escalations, admins can begin triage with Salesforce-native metrics.

What is ApexGuru?

ApexGuru is an AI and machine learning capability inside Scale Center that analyzes Apex classes and entry points, then recommends code optimizations based on performance impact.

Salesforce Help says ApexGuru uses AI and machine learning models to analyze Apex classes and entry points and provide code recommendations that improve implementations. Salesforce's developer blog adds an important nuance: ApexGuru is runtime-aware. It does not merely flag every theoretical anti-pattern. It prioritizes issues based on actual org telemetry, such as Apex CPU time and database time.

That distinction matters. Mature Salesforce orgs often have years of custom Apex, installed packages, legacy triggers, batch jobs, flows, integrations, and technical workarounds. A static list of possible problems is not enough. Teams need prioritization: which issues are actually affecting performance, and which fixes are worth sprint capacity?

ApexGuru groups recommendations into categories such as:

  • Code recommendations ranked by expected impact
  • SOQL and DML analysis
  • Expensive methods
  • Unused methods
  • Apex anti-patterns such as SOQL in loops, DML in loops, redundant SOQL, inefficient filters, expensive methods, and unused fields

Salesforce also notes that ApexGuru has no impact on org performance or storage limits, and that its machine learning models do not use customer code.

Why should Salesforce admins care if ApexGuru is developer-focused?

Because admins are usually the first people asked to explain performance problems, even when the root cause lives in code, data volume, automation, or release behavior.

Salesforce admins sit at the intersection of user experience, configuration, data model design, reporting, automation, and escalation management. When a user says, "Salesforce is slow," the admin is often expected to turn that complaint into a diagnosis.

Scale Center gives admins a better first move. Instead of opening with guesswork, admins can review performance metrics, generate relevant insights, and determine whether the issue appears tied to:

  • Apex execution
  • Database performance
  • Lightning page experience
  • Report runtime
  • Search indexing
  • Deployment changes
  • Peak business load
  • API or integration behavior
  • Row locks or concurrency

ApexGuru then helps admins partner with developers more effectively. The admin does not need to rewrite Apex. But the admin can bring a prioritized, Salesforce-generated recommendation to the development team, along with impact context and supporting evidence.

How do teams enable Scale Center and ApexGuru?

Admins can enable Scale Center from Setup, then activate ApexGuru from Scale Insights.

Based on Salesforce's notification and Help documentation, the activation path is straightforward:

1. In Salesforce Setup, search for Scale Center.

2. Open Scale Center.

3. Turn on the Enable Scale Center toggle.

4. Allow performance metrics time to appear.

5. To enable ApexGuru, navigate to ApexGuru under Scale Insights.

6. Accept the applicable terms.

7. Review report creation dates and generate or review available insights.

8. Establish who is responsible for triage, documentation, and remediation follow-through.

Salesforce also provides a Scale Center Standard Permission Set for standard users who need access without being full system administrators.

What should admins look at first after enabling Scale Center?

Start with Org Overview, then use on-demand insights to investigate the highest-friction areas users already report.

For most orgs, the best first-week workflow is:

1. Review Org Overview

Use Org Overview to establish a baseline for org health, business peak loads, error behavior, and obvious performance stress points.

2. Generate on-demand insights

Salesforce's 2026 admin guidance notes that on-demand insights help admins act immediately rather than waiting for scheduled reporting. Use them when a business team reports a problem, before a major release, or after a deployment.

3. Check Lightning Performance Insights

If users complain about page load speed, look for slow pages, components, actions, or browser patterns. Lightning performance affects adoption. A well-designed process can still fail if pages feel heavy.

4. Review Database Insights

If record saves, SOQL queries, integrations, or batch processes are slow, database performance may be the real issue. Database Insights can help identify slow SOQL patterns and runtime database bottlenecks.

5. Review Deployment Insights

Use Deployment Insights after releases to identify regressions quickly. This is especially helpful when a deployment technically succeeds but users report that performance changed afterward.

6. Review ApexGuru recommendations

Use ApexGuru to prioritize code remediation. Do not try to fix everything at once. Group findings by impact, complexity, ownership, and release risk.

How should Scale Center fit into release management?

Scale Center should become part of the release checklist before, during, and after major Salesforce deployments.

A practical operating model looks like this:

Before release

  • Review current org performance baseline.
  • Identify existing high-risk metrics, slow reports, Apex hotspots, and database concerns.
  • Decide whether any issues should block or delay the release.
  • Run available sandbox checks where appropriate.

During release validation

  • Compare expected vs. observed behavior in full copy sandbox testing.
  • Review ApexGuru or Code Analyzer findings for code included in the release.
  • Confirm that high-volume processes have been tested with realistic data assumptions.

After release

  • Use Deployment Insights and performance comparisons to detect regressions.
  • Monitor business-critical pages, reports, APIs, and automations.
  • Create remediation tickets for issues that are material but not release-blocking.
  • Document whether the release improved, degraded, or maintained performance.

This turns performance into an operating habit, not a last-minute rescue mission.

How does ApexGuru change the developer workflow?

ApexGuru brings performance recommendations closer to where developers work, including Salesforce Code Analyzer, VS Code, Code Builder, and MCP-enabled agentic IDEs.

Salesforce's notification highlighted two developer workflow updates:

  • ApexGuru is integrated with Salesforce Code Analyzer, enabling developers to scan Apex classes and detect performance anti-patterns directly inside VS Code or Code Builder.
  • ApexGuru insights are available through Salesforce DX MCP, enabling detection in MCP-enabled IDEs such as Agentforce Vibes, Cursor, Claude, and other agentic development environments.

This matters because performance guidance is most useful when it appears before code ships. If developers see ApexGuru findings in their normal workflow, teams can catch inefficient SOQL, DML, method, or data-access patterns earlier.

For leaders, the governance question becomes: are ApexGuru and Code Analyzer findings optional suggestions, or part of the definition of done?

What should teams do in the next 30 days?

Treat Scale Center and ApexGuru as a lightweight Salesforce performance program, not just another admin feature.

Here is a practical 30-day rollout plan.

Week 1: Enable and baseline

  • Confirm edition and org eligibility.
  • Enable Scale Center in production and relevant full copy sandboxes.
  • Enable ApexGuru and accept terms.
  • Assign access using appropriate permission sets.
  • Capture baseline screenshots or exports for org performance, peak load, and obvious issue areas.

Week 2: Triage top issues

  • Review ApexGuru recommendations.
  • Generate on-demand insights for reports, search, database, Lightning performance, or deployment concerns.
  • Identify the top five issues by user impact and remediation complexity.
  • Separate admin-owned fixes from developer-owned fixes.

Week 3: Add to release governance

  • Add Scale Center review to pre-release and post-release checklists.
  • Add ApexGuru or Code Analyzer review to developer workflow.
  • Define thresholds for escalation, backlog creation, and release blocking.

Week 4: Build the habit

  • Create a monthly org performance review.
  • Track remediation completion.
  • Compare before-and-after performance for meaningful fixes.
  • Use findings to inform technical debt prioritization and roadmap planning.

What mistakes should teams avoid?

The biggest mistake is enabling the tools but failing to assign ownership for action.

Avoid these common traps:

  • Treating insights as a one-time report. Performance changes as data, automation, integrations, and releases change.
  • Overloading the development backlog. Not every recommendation deserves immediate action. Prioritize by impact.
  • Ignoring admin-owned fixes. Some performance issues come from configuration, reports, searchable objects, page design, or automation patterns, not only code.
  • Skipping sandbox comparison. Full copy sandbox analysis can catch issues before users feel them.
  • Fixing code without regression testing. Performance fixes still require functional validation.
  • Waiting for user complaints. The point is to find scale risks before they become visible business friction.

How does this connect to Agentforce and AI readiness?

Agentic experiences depend on fast, reliable, well-architected Salesforce foundations. Scale Center and ApexGuru help teams find the friction that can undermine AI and automation outcomes.

Agentforce actions, AI-assisted workflows, and high-volume automation all rely on the same underlying org health fundamentals: efficient data access, predictable Apex behavior, clean automation boundaries, and manageable technical debt.

If a Salesforce org already struggles with slow pages, CPU spikes, row locks, inefficient SOQL, or fragile deployments, adding more automation can amplify the problem. Scale Center and ApexGuru give teams a practical way to inspect and improve the foundation before layering on more AI-driven work.

That is why Vantage Point sees performance observability as part of CRM AI readiness. AI strategy is not only about prompts, models, or assistants. It is also about whether the operational system underneath them can scale.

Admin action checklist

Use this checklist to get started:

  • Confirm Scale Center availability for production and full copy sandbox orgs.
  • Enable Scale Center from Setup.
  • Enable ApexGuru under Scale Insights.
  • Assign the right admin, architect, developer, and release-management access.
  • Review Org Overview and capture baseline performance metrics.
  • Generate on-demand insights for the areas with known user friction.
  • Review ApexGuru recommendations and group by business impact.
  • Add Scale Center checks to release planning and post-deployment review.
  • Add ApexGuru or Code Analyzer checks to developer workflow.
  • Create a monthly performance review cadence.
  • Track remediation actions in the same backlog used for other Salesforce work.

FAQ: Salesforce Scale Center and ApexGuru

Is Scale Center free?

Salesforce's customer notification says Scale Center and ApexGuru are available in supported orgs at no additional cost. Salesforce Help states that Scale Center is a free product in full sandboxes and production orgs for Unlimited Edition, Enterprise Edition, Professional Edition, Signature, and Scale Test customers.

Does Scale Center replace Salesforce Support?

No. Scale Center does not replace Salesforce Support, but it can reduce dependency on support by giving admins self-service performance visibility and root-cause analysis tools. For severe or unclear issues, teams may still need Salesforce Support or partner help.

Does ApexGuru automatically change code?

No. ApexGuru provides recommendations and insights. Teams still need developers and architects to review recommendations, understand business logic, implement changes, and test before deployment.

Does ApexGuru use customer code to train machine learning models?

Salesforce Help states that the machine learning models in ApexGuru do not use customer code.

Can non-admin users access Scale Center?

Salesforce provides guidance for enabling Scale Center for standard users through a Scale Center Standard Permission Set. Access should still be governed carefully because some features may expose URLs or fields that include customer data.

What is the first report admins should run?

Start with Org Overview to understand baseline health. Then generate on-demand insights based on the most visible business pain: Lightning performance for slow pages, Report Insights for slow reports, Database Insights for SOQL/runtime concerns, Deployment Insights after releases, and ApexGuru for Apex optimization.

How often should teams review Scale Center?

At minimum, review Scale Center before and after major releases, after high-volume business events, and during monthly platform health reviews. High-change orgs should use it more frequently.

Why does this matter for AI and Agentforce?

AI agents and automations depend on reliable Salesforce foundations. Inefficient Apex, slow data access, and unstable releases can make agentic experiences slower, less reliable, or harder to troubleshoot.

Vantage Point perspective

Scale Center and ApexGuru are valuable because they make Salesforce performance more observable and actionable. But tools alone do not create better org health. Teams need a process for interpreting signals, prioritizing work, and connecting findings to release governance.

Vantage Point helps Salesforce teams turn platform insight into operating discipline. Our senior-led Salesforce consultants can help assess org health, review Scale Center and ApexGuru findings, prioritize technical debt, improve release practices, and prepare Salesforce environments for scalable automation and AI.

If your team is seeing performance concerns, planning Agentforce work, or preparing for higher transaction volume, now is the right time for a Salesforce performance health check.

Sources and further reading