darwin.Cloud data cube isolation
Enhancing darwin.Cloud Performance with Optimized Data Cube Infrastructure
At AccountTECH, we continuously strive to improve the performance, reliability, and user experience of our applications. To support this mission, we are implementing a significant infrastructure upgrade that enhances how our system handles data cubes, which are a key component for generating reports, charts, graphs, and analytics.
What Are Data Cubes and Why Are They Important?
Data cubes are multi-dimensional representations of data that allow for fast and detailed analysis. They power the reports, charts, and dashboards that help our users make informed decisions. However, building and accessing data cubes can place a heavy workload on the same production servers that manage day-to-day operations, such as retrieving records or inputting new data.
What we are doing to Improve Performance
To ensure a smoother and faster experience for our users, we’ve redesigned how data cubes are managed within our system:
- Dedicated NVMe Drives for Data Cubes
- We’ve moved all data cube operations to separate NVMe drives located on distinct servers, completely isolated from the primary production servers.
- NVMe drives are high-performance storage devices that allow for faster data access and processing, ensuring the cubes are built and updated efficiently.
- Separate Servers for Analytics
- All reports, charts, graphs, and analytics now retrieve data directly from these dedicated servers rather than the production servers.
- By offloading this workload, we’ve reduced the strain on the production servers, enabling them to focus solely on their primary functions: handling user interactions like data retrieval and input.
Key Benefits for Our Users
This infrastructure improvement offers several significant advantages:
1. Faster Daily Operations
- The primary servers no longer bear the burden of building or accessing data cubes, allowing them to process daily user activities—like viewing records or entering new data—more quickly and efficiently.
2. Enhanced Reporting and Analytics
- With data cubes hosted on dedicated hardware, reports, charts, and dashboards load faster while reducing the burden on production servers caused by analyzing data.
3. Improved System Stability
- Separating these workloads reduces the risk of performance slowdowns or interruptions caused by resource-intensive data cube operations.
- This isolation ensures that neither reporting nor day-to-day user tasks impact each other, creating a faster, more stable system overall.
4. Future Scalability
- By isolating the data cubes onto dedicated hardware, our system is now better positioned to handle future growth. Whether it’s more users, larger datasets, or more complex analytics, the infrastructure is ready to scale without impacting user experience.