Monitor with AutoOps
editMonitor with AutoOps
editAutoOps diagnoses issues in Elasticsearch by analyzing hundreds of metrics, providing root-cause analysis and accurate resolution paths. With AutoOps, customers can prevent and resolve issues, cut down administration time, and optimize resource utilization.
AutoOps key features
edit- Real-time root-cause analysis for hundreds of issues.
- Accurate resolution paths and customized recommendations.
- Insight into what occurred and detailed views into nodes, index, shards, and templates.
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Wide range of insights, including:
- Cluster status, node failures, and shard sizes.
- High CPU, memory, disk usage, and other resource-related metrics.
- Misconfigurations and possible optimizations.
- Insights on data structure, shards, templates, and mapping optimizations.
- Unbalanced loads between nodes.
- Indexing latency, rejections, search latency, high index/search queues, and slow queries.
- Resource utilization.
Additional capabilities
edit- Multi-deployment dashboard to quickly spot issues across all clusters.
- Possibility to customize event triggers and connect to different notification services such as PagerDuty, Slack, MS Teams, and webhooks.
- Long-term reports for sustained evaluation. This feature is currently not available and will be rolled out shortly.
AutoOps scope
editAutoOps currently monitors only Elasticsearch, not the entire Elastic stack. Any deployment information pertains solely to Elasticsearch. There are plans to expand AutoOps monitoring to the entire stack.