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diff --git a/health/guides/riakkv/riakkv_1h_kv_get_mean_latency.md b/health/guides/riakkv/riakkv_1h_kv_get_mean_latency.md new file mode 100644 index 000000000..7233423ee --- /dev/null +++ b/health/guides/riakkv/riakkv_1h_kv_get_mean_latency.md @@ -0,0 +1,52 @@ +### Understand the alert + +This alert calculates the average time between the reception of client `GET` requests and their subsequent responses in a `Riak KV` cluster over the last hour. If you receive this alert, it means that the average `GET` request latency in your Riak database has increased. + +### What does mean latency mean? + +Mean latency measures the average time taken between the start of a request and its completion, indicating the efficiency of the Riak system in processing `GET` requests. High mean latency implies slower processing times, which can negatively impact your application's performance. + +### Troubleshoot the alert + +- Check the system resources + +1. High latency might be related to resource bottlenecks on your Riak nodes. Check CPU, memory, and disk usage using `top` or `htop` tools. + ``` + top + ``` + or + ``` + htop + ``` + +2. If you find any resource constraint, consider scaling your Riak cluster or optimize resource usage by tuning the application configurations. + +- Investigate network issues + +1. Networking problems between the Riak nodes or the client and the nodes could cause increased latency. Check for network performance issues using `ping` or `traceroute`. + + ``` + ping node_ip_address + ``` + or + ``` + traceroute node_ip_address + ``` + +2. Investigate any anomalies or network congestion and address them accordingly. + +- Analyze Riak KV configurations + +1. Check Riak configuration settings, like read/write parameters and anti-entropy settings, for any misconfigurations. + +2. Re-evaluate and optimize settings for performance based on your application requirements. + +- Monitor application performance + +1. Analyze your application's request patterns and workload. High request rates or large amounts of data being fetched can cause increased latency. + +2. Optimize your application workload to reduce latency and distribute requests uniformly across the Riak nodes. + +### Useful resources + +1. [Riak KV documentation](https://riak.com/posts/technical/official-riak-kv-documentation-2.2/) |