Cassandra monitoring metrics (such as read/write latency, throughput, and node health status)
Cassandra is a distributed NoSQL database that achieves real-time management and optimization through monitoring metrics.
Read/Write Latency
Read/Write latency refers to the time required from a request to the return of results. High Read and Write latency can lead to a degraded user experience and application performance. Monitoring metrics help us understand the load on the read/write system and optimize it according to requirements.
Monitoring Metrics
- Read Latency: The time required from sending a request to receiving a response.
- Write Latency: The time required from sending a request to receiving a response.
- ConnectionPool: Represents the size of the connection pool in the system; a larger connection pool can improve performance.
Throughput
Throughput refers to the number of requests processed per unit of time. High throughput usually means the system can effectively handle large amounts of data and requests, thereby achieving higher real-time performance and availability.
Monitoring Metrics
- Read Throughput: The volume of traffic representing the time from input to reading data.
- Write Throughput: The volume of traffic representing the time from input to writing data.
Node Health Status
Monitoring the health status of each node is key to achieving high system availability. An unstable node can cause the entire system to become unavailable, severely impacting business operations.
Monitoring Metrics
- Up Time: Represents the duration the node has been running.
- Down Time: Represents the duration of the node's downtime.
- Memory Usage: Represents the usage of node memory; exceeding a threshold may lead to OOM (Out Of Memory).
Hanging Time
Availability refers to the system's ability to respond to user requests. In real-time systems, availability directly impacts the user experience.
Monitoring Metrics
- Read Latency: The time required from sending a request to receiving a response.
- Write Latency: The time required from sending a request to receiving a response.
- ConnectionPool: Represents the size of the connection pool in the system; a larger connection pool can improve performance.
Running Status
Monitoring the current running status of the system is key to understanding its health. This enables timely handling of failures and emergency maintenance.
Monitoring Metrics
- Running: Indicates the system is in a normal operating state.
- Idle: Indicates the system is in a resting state and may require optimization or repair.
By monitoring these metrics, you can understand the running status of Cassandra and perform necessary optimizations and adjustments to improve system performance, availability, and real-time capabilities.