In Tencent Cloud Distributed Cache, frequently accessed keys are called hot keys. When a Distributed Cache database receives a lot of requests to access a hot key, the traffic gets too concentrated and reaches the upper limit of the physical ENI, which will cause problems or even downtime of the Distributed Cache service.
With DBbrain's hot key analysis feature, you can find hot keys quickly to optimize the service accordingly.
2. In the left sidebar, choose Performance Optimization.
3. At the top of the page, select the corresponding database and instance ID, then select Latency Analysis > Hot Key Analysis tab.
4. On the Hot Key Analysis page, select the data type and time period. The time period can be switched between real-time and historical views to analyze the data.
Data type: Supports All, string, list, set, hash, sortedset, stream, and none.
Real-time view: Displays the analysis results at each time point in real-time.
Historical view: Displays the analysis results in the last hour, last 3 hours, last 24 hours, last 7 days, or a custom time range.
Select the Redis Node to be analyzed and the List Item Limit (supporting a limit of 50 items, and a limit of 100 items), and view the analysis data.
