Neo4j monitoring metrics (such as query latency, throughput, memory usage, etc.)

Monitoring Metrics in the Neo4j Domain

1. Query Latency

Query latency in Neo4j refers to the time taken from sending a query request to receiving the results. This metric helps us understand whether Neo4j's performance and throughput meet business requirements.

2. Throughput

Throughput refers to the rate at which Neo4j can process queries or operations. In Neo4j, throughput can be improved by using transactions. A high-throughput Neo4j instance can handle more parallel tasks, thereby improving overall performance.

3. Memory Usage

Memory usage refers to the amount of memory used by Neo4j. Neo4j can dynamically allocate memory as needed, ensuring that Neo4j's performance is not limited by memory constraints.

4. Network Throughput

Network throughput refers to the rate at which Neo4j can send and receive data. This metric helps us understand whether Neo4j's network performance meets business requirements.

5. Node Count

Node count refers to the total number of nodes existing in Neo4j. In Neo4j, the number of nodes increases over time, which means storage and processing capabilities must be considered.

6. Edge Count

Edge count refers to the total number of edges existing in Neo4j. In Neo4j, the number of edges increases over time, which means storage and processing capabilities must be considered.