Camunda provides a range of performance metrics to help users evaluate and optimize the performance of their business processes. Here are some common performance metrics provided by Camunda:
1. Process Execution Time: refers to the time from the start of a process instance to its completion.
2. Number of Process Instances: refers to the number of process instances started within a certain time range.
3. Average Processing Time (Average Processing Time): refers to the average time required to process a task within a certain time range.
4. Number of Open Tasks: refers to the number of tasks currently pending.
5. Number of Historic Process Instances: refers to the number of completed process instances.
6. Average Waiting Time: refers to the average time a task waits for processing within a certain time range.
7. Number of Historic Task Instances: refers to the number of completed task instances.
8. Average Execution Time: refers to the average time required to process a task within a certain time range.
The above are some common performance indicators provided by Camunda, which can be viewed and analyzed through the process monitoring tools provided by Camunda (such as Camunda Cockpit). By monitoring these performance indicators, users can understand the execution of their business processes, evaluate their performance and efficiency, and make targeted optimizations to improve the execution efficiency and quality of business processes.
How camunda optimizes the process
Process optimization in Camunda can be achieved through the following steps:
1. Establish a process model: Use Camunda Modeler or other BPMN model tools to establish a process model, including process definitions, flow charts, and tasks and gateways in the process.
2. Analyze the execution of the process: Use the process monitoring tools provided by Camunda (such as Camunda Cockpit) to analyze the execution of the process, and check the bottlenecks, tedious tasks, waiting time and other issues in the process.
3. Process optimization: Based on the results of process analysis, optimize the process, including optimizing flow charts, adjusting task processes, simplifying tasks and gateways, etc.
4. Test and deployment: After process optimization, test verification is carried out to ensure the correctness and feasibility of the process. Then, deploy the optimized process to Camunda and apply it in actual business.
5. Monitoring and optimization: Continuously monitor the execution of the process, optimize the problems in the process, including process model, task process, task personnel assignment, etc., and continuously optimize the execution efficiency and quality of the process.
The above are the general steps for process optimization based on the Camunda platform, which can be different according to specific business needs and optimization goals. When optimizing the process, it is necessary to fully understand the characteristics and bottlenecks of the business process in combination with specific business scenarios, so as to improve the execution efficiency and quality of the process.