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Frequently Asked Questions

Connection issues may be caused by network restrictions, authentication problems, or service availability. Verify your cluster endpoints and credentials are correct, check if network firewalls or security groups allow the required ports, and try basic HTTP requests (like hitting the root endpoint) to check basic connectivity.

Query issues can result from complex search patterns, resource constraints, or index status problems. Simplify your query to isolate performance bottlenecks, check cluster health to ensure all shards are allocated, and verify the indices you're querying exist and are in an open state.

Block exceptions typically indicate protective measures activated due to disk space issues or other critical conditions. Check available disk space on your cluster nodes, verify cluster settings for minimum available disk thresholds, and examine cluster health using the _cluster/health API to identify specific issues.

Health status issues may be caused by unassigned shards, node failures, or allocation problems. Check which shards are unassigned using the _cat/shards API, verify all expected nodes are visible in the cluster, and examine cluster logs for specific allocation failure reasons.

Indexing performance degradation can stem from resource constraints, indexing configuration, or background activities. Check system resource utilization on cluster nodes, verify bulk indexing parameters are optimized, and determine if merge, refresh, or snapshot activities might be competing for resources.

Kibana connectivity issues may be caused by version mismatches, network problems, or Elasticsearch availability. Verify Kibana and Elasticsearch versions are compatible, check if Kibana can reach the Elasticsearch cluster URL, and ensure Elasticsearch security features (if enabled) are correctly configured to allow Kibana access.

Snapshot operation failures can result from repository configuration issues, permission problems, or resource constraints. Verify the snapshot repository is correctly configured and accessible, check if the cluster has sufficient resources for snapshot operations, and examine snapshot operation logs for specific error messages.

Memory pressure issues typically indicate heap sizing problems, memory-intensive operations, or garbage collection inefficiencies. Check JVM heap usage metrics, review memory-intensive queries or aggregations, and consider tuning garbage collection settings or increasing heap size if within recommended limits (typically not exceeding 50% of available RAM).

Incident History

Resolved Incidents

We have detected a potential outage for Elastic.
Started: 2025-07-05 15:29 Resolved: 2025-07-05 15:35

We have detected a potential outage for Elastic.
Started: 2025-07-05 13:32 Resolved: 2025-07-05 13:44

We have detected a potential outage for Elastic.
Started: 2025-07-05 13:10 Resolved: 2025-07-05 13:44

We have detected a potential outage for Elastic.
Started: 2025-07-05 11:42 Resolved: 2025-07-05 12:02

We have detected a potential outage for Elastic.
Started: 2025-07-05 07:31 Resolved: 2025-07-05 07:48

About Elastic

Elastic is a search and analytics engine platform that enables organizations to store, search, and analyze large volumes of data in near real-time. The platform encompasses a suite of products including Elasticsearch for search and analytics, Kibana for data visualization, Logstash and Beats for data processing and ingestion, and solutions for security, enterprise search, and observability.

Development teams use Elastic to implement search functionality in applications, creating powerful experiences with features like autocomplete, typo tolerance, and relevance ranking. IT operations departments leverage Elastic Stack (ELK) to centralize and analyze log data from servers, applications, and network devices for troubleshooting and performance monitoring. Security teams implement Elastic Security to detect threats through the analysis of security data, creating dashboards and alerts for suspicious activities across their environments.

Users may encounter various types of disruptions when using Elastic products, including cluster performance degradation under high indexing loads, temporary search latency during large-scale reindexing operations, or memory pressure on nodes with insufficient resources for their workload. Query performance might decline with improperly designed indices or excessively complex searches, while dashboard visualizations in Kibana might render slowly when working with very large datasets. Integration issues might occur after version upgrades, particularly with custom plugins or when skipping multiple versions. During maintenance windows or configuration changes, some indices might become temporarily read-only or require reallocation across the cluster, affecting write operations to those indices.

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