Datamine Network Enhances Analytics Architecture and Memory Efficiency
💡 AI Article Summary
The Datamine Network has implemented vital updates to its analytics framework to optimize real-time data streaming and state management.
Optimizing Memory and Connection State
The development team decoupled connection and logging systems from the rendering root. This change improves the foundational state management needed for the upcoming secure login screen. Additionally, the dashboard now tracks 'Users In Memory' to help monitor resource usage in real-time, while a fixed memory leak during context destruction ensures long-term dashboard stability.
Real-Time Streaming and Widget Upgrades
Real-time events for shared widgets have been optimized to function seamlessly across multiple active users. Real-time statistics are now streamed directly, bypassing the API/REST context for superior performance. A new global widget disconnect event allows clean, asynchronous cleanup of unused processes by draining the dispatch queue automatically.
Hey guys,
Been a super busy day with the analytics network. Here are some changes from Today:
Split out logger/connection from rendering root object. This will be needed for new login screen as there is a lack of proper connection state managment
Started work on reservation by "Datamine Pro Key"
Added "Users In Memory" on stats page that will help monitor resource usage
Fixed memory leak on context destruction
Added new global widget disconnect event and now disconnecting will drain dispatch queue. This allows us to do async destructors on per-context
Fixed realtime events for shared widgets (This will be an example of our realtime events across multiplie users)
Improved how realtime stats are streamed no longer relying on api/rest context
Split out shared widgets registration into a separate file and fixed order of event subscriptions
Current big ticket items for tomorrow:
Fix removing shared widget subscriptions (memory leak)
Login screen
Frequently Asked Questions
What are the main performance improvements in this Datamine update?
This update introduces critical memory leak fixes during context destruction, isolates connection logging from rendering, and improves real-time stats streaming by bypassing the standard API/REST context.
What is the purpose of the new 'Users In Memory' metric?
The 'Users In Memory' statistic on the stats page helps monitor active resource usage in real-time, allowing for better tracking of the system's performance.
How does the new global widget disconnect event improve stability?
It ensures that disconnecting drains the dispatch queue automatically. This allows the system to perform asynchronous cleanups on a per-context basis, preventing resource drag.
· hodlforjesus · #dev-updates