Log Aggregation System
Scylla Monitoring Stack includes a set of pre-built dashboards to monitor your Scylla cluster in real time. Hundreds of different metrics populate dashboard components for your team to review historical trends and identify anomalous behavior in your cluster.
The CQL dashboard helps teams identify query issues, poor data models, and unexpected driver behavior. Teams can quickly see, for example, if their cluster is being hit by a lot of heavy queries with full table scans where “allow filtering” is enabled.
Quickly identify queue latency and performance for the commitlog, compaction, memtable, and more. The dashboard supports dynamic classes added to Enterprise releases.
Quickly identify nodes in your cluster and drill down to detailed OS level metrics such as CPU utilization, IO, and Errors. Teams can quickly decide if nodes need to get rebooted or if the team needs to perform a rolling upgrade on nodes running old versions.
Set conditional alerts for your Scylla cluster within the alert manager so your team knows when incidents arise. Out-of-the-box alert triggers are included for conditions such as:
Database administrators are able to annotate heavy tasks such as backup or repair start and finish times. This helps cross functional teams visually understand why there may be additional latency or reduced throughput during particular times.
The Advisor is a new concept in Scylla Monitoring. It identifies potential problems and notifies them. The Advisor section in the Overview dashboard has two parts, one for various issues detected, like unprepared statements. The second is an indication of how balanced the system is. When the cluster works properly, all nodes and shards should act the same. An outlier shard could be a result of a problem. For example, if the number of CQL connections per shard varies between shards, it indicates a driver configuration issue.
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