September 23, 2025 - by Synoptek
Microsoft Dynamics 365 Finance and Operations (F&O) empowers organizations to make data-driven decisions, scale quickly, and streamline day-to-day operations through automation and integration. However, even the most powerful ERP requires performance optimization to avoid issues such as delayed decision-making, frustrated users, inflated operational costs, and eroded confidence in technology.
This blog outlines essential tips and strategies for optimizing the performance of your Dynamics ERP environment, so you can get the most from your investment and deliver value across the business.
Performance issues in Dynamics 365 F&O often stem from underlying infrastructure inefficiencies, misconfigured customizations, or unmanaged data volumes. Before you can optimize, it’s essential to understand where performance gaps originate.
Optimizing performance starts at the foundation—with the hardware, network, and deployment architecture.
Whether cloud-based or on-premises, your infrastructure must scale to meet business demands. Invest in high-spec servers or VMs with multi-core CPUs and ample memory (at least 32 GB RAM for moderate workloads). Prioritize dedicated resources for critical processes like batch jobs and avoid mixing development and production environments.
Enable high-speed, low-latency internet access for remote users and use tools like Azure ExpressRoute or VPN Gateway for secure, reliable connectivity. Segment and prioritize Dynamics ERP traffic with quality-of-service policies and load balancing to avoid bottlenecks during peak usage.
Use auto-scaling for cloud environments and implement high-availability strategies like Azure Availability Zones or failover clusters on-premises. This ensures your ERP remains available—even during unexpected surges or hardware failures.
A well-tuned database translates directly into smoother ERP operations.
Proper indexing reduces query execution time and speeds up data operations. Leverage surrogate keys or create custom indexes for frequently queried fields. Avoid large tables without primary keys—they slow down DML operations and increase load times.
Bad queries can cripple performance. Use SQL Profiler and other diagnostic tools to identify inefficient joins, nested queries, and large data calls. Refactor and streamline your queries—retrieve only the necessary data and rely on views or stored procedures when working with large datasets.
Schedule regular database maintenance to reorganize indexes, purge logs, and clean staging data. Microsoft handles some of this in the cloud, but on-premises environments require proactive DBA involvement using SQL optimization tools.
Customizations should enhance, not hinder, ERP performance.
Before customizing, explore Dynamics’ native capabilities. If needed, wrap your custom logic around standard features rather than replacing them. This preserves compatibility during upgrades and reduces tech debt.
Follow Microsoft’s coding best practices: use naming conventions, modular code, meaningful comments, and remove hardcoded values. Avoid unnecessary database calls and heavy operations on the UI side. Always validate custom code against upgrade paths.
Not all ISV solutions are created equal. Use lightweight, performance-friendly add-ons that follow a microservices or decoupled architecture. Update them regularly and turn off unused features to avoid resource drag.
Continuous monitoring ensures early detection of performance issues—before they disrupt users.
Use Lifecycle Services (LCS) to monitor batch job performance, CPU usage, system health, and SQL blocking queries. Set alerts for anomalies such as long-running jobs or excessive memory usage.
For cloud deployments, Azure Monitor and Telemetry offer deep insights into infrastructure health and real-time performance metrics. This allows IT teams to take corrective action quickly.
Periodically audit batch jobs, SQL queries, and system logs. Identify trends, pinpoint high-load operations, and schedule heavy jobs during off-peak hours. Splitting large jobs into smaller, manageable parts can also help balance system load.
End-user performance is often dictated by UI responsiveness—regardless of backend efficiency.
Avoid loading all data upfront. Use filters, cache reference data, and streamline form designs. Disable unnecessary controls and avoid complex display/edit methods unless absolutely required.
Dashboards should be lightweight and focused. Use views for data aggregation and schedule heavy reports to run as background batch jobs, especially when dealing with large datasets.
Inefficient approval chains or overly complex logic in workflows can slow down operations. To minimize unnecessary steps, keep workflows intuitive and use conditional logic.
Microsoft continually releases updates to improve performance and add new features. Ignoring them risks falling behind.
Apply quarterly service updates and proactive quality patches. From 2024 onwards, Microsoft limits skipping updates—meaning staying current is no longer optional. Updates include critical performance fixes and feature enhancements.
Always test updates in a sandbox environment. Validate compatibility with your custom code and third-party add-ons before deploying to production. A structured upgrade process ensures smooth transitions without downtime or broken features.
Integrations can extend ERP functionality, but they must be built right. Here are some best practices to keep in mind:
Choose the right integration method based on use case:
Tool | Use Case |
---|---|
DMF | Batch imports/exports |
OData | Real-time CRUD operations |
Business Events | Event-driven processes |
Azure Service Bus | Asynchronous messaging |
Dual Write | Real-time sync with Dataverse |
Custom APIs | Complex integrations |
Monitor the performance of integrated apps. Log failures and use alerts to track timeout or response issues. Work closely with ISV partners to ensure add-ons remain compatible with each Dynamics ERP update.
A complex report using multiple select statements was causing user timeouts. By replacing dependent tables with temporary ones and simplifying logic, performance improved dramatically.
Invoice processing stalled due to nested query overload. A redesigned view with minimal joins and display methods fixed the issue and restored speed.
Bulky data from a SOAP API call was causing slowdowns. A new class library efficiently deserialized the response, and the results were offloaded into a separate table for faster processing.
Logs, versioning, and dual-write jobs were ballooning the database. A cleanup schedule and complete push jobs moved to weekends, restoring system performance.
Optimizing Microsoft Dynamics ERP is not a one-time task—it’s a strategic, ongoing effort that requires attention to infrastructure, code quality, monitoring tools, and user interface design.
At Synoptek, we help organizations transform their ERP performance with expert-led optimization strategies, proactive monitoring, and scalable solutions tailored to your business goals.
Ready to make Dynamics ERP work faster and smarter for your organization?