How Can Efficient Server Storage Impact the Scalability of Syncfusion Web Applications?

[Tammy Gombez]

Hi everyone,

I’m currently working on a project that involves building scalable web applications using Syncfusion tools, and I’ve been thinking a lot about the role of server storage in ensuring that the application can grow seamlessly. As we add more data and features, I want to make sure our infrastructure can handle the increasing load without affecting performance.

I’ve read that efficient server storage can have a significant impact on the scalability of web applications, but I want to hear from others who have experience with Syncfusion applications in production.

Here are a few specific things I’m curious about:

Performance: In what ways can the right server storage solution improve the performance and responsiveness of Syncfusion web applications, especially when dealing with high user traffic?

Scalability: As the application grows and more users interact with the system, how can optimizing server storage support better scalability and avoid bottlenecks?

Cloud Integration: For those who are using cloud-based server storage, how does it enhance the scalability of Syncfusion web applications compared to traditional storage setups?

I’m particularly interested in any real-world examples or best practices when it comes to integrating Syncfusion with efficient server storage solutions.

Looking forward to hearing your thoughts and insights!

Thanks!

[Deepika Arumugasamy]

Hi Tammy Gombez,

Thank you for reaching out. Efficient server storage is crucial for scaling your application seamlessly. Below are insights addressing your key concerns:

Performance

• Caching: Implement server-side caching to reduce repeated queries for large datasets displayed by components like grids and charts.
• Database Optimization: Indexing, query optimization, and partitioning are vital for Syncfusion components relying on frequent database access.
• CDNs: Offload static Syncfusion resources like scripts and stylesheets to a CDN for faster load times globally.
• Virtualization/Infinite Scrolling: To enhance your application’s efficiency, especially when dealing with substantial datasets, it is recommended to either use virtualization or infinite scrolling. This helps to improve rendering performance by loading only the visible data.

Scalability

• Horizontal Scaling: Use distributed database systems that allow adding more nodes as your data grows.
• Load Balancing: Distribute workload evenly across your database servers.
• Asynchronous Processing: Use message queues for time-consuming operations to reduce the main server load.
• Data Sharding: Partition your data to ensure faster access and scalability as the dataset grows.
• Improving loading Performance: To enhance the loading performance , especially when dealing with large datasets, it provides valuable insights into the steps that need to be followed to bind a large data source without experiencing performance degradation. By offering detailed explanations and actionable tips, this resource aims to empower readers with the knowledge and best practices necessary to optimize the performance.

Learn more about EJ2 Grid performance optimization

Cloud Integration

• Elastic Scaling: Cloud services enable on-demand resource scaling to handle varying traffic loads.
• Managed Services: Use managed database services to simplify scaling and maintenance.
• Global Distribution: Leverage cloud-based storage solutions with global distribution for faster data access for users across regions.
• Seamless Integration: Cloud environments offer integrations with monitoring tools to identify performance issues and offer insights for optimization.

Best Practices

• Use Syncfusion DataManager for optimized server-side operations.
• Implement both client-side and server-side caching for data-heavy components.
• Optimize database queries and avoid excessive data fetching for Syncfusion grids and charts.
• Use server-side export for Syncfusion components managing large datasets to offload processing from the client.
• Syncfusion components support persisting their state across page refreshes or navigation. This stores the control’s state in the browser’s localStorage object on the unload event of the page.

These strategies can help you build a robust and scalable infrastructure, ensuring your Syncfusion application remains performant under increased load. Let us know if you'd like further details.

Regards,

Deepika