Elastic Monitoring
For Elasticsearch

Graph and alert on any Elasticsearch metrics with Datadog.

Why Datadog?

No Custom Query Language Required

Leverage unified tagging to filter and search anything easily — no training needed

Enterprise Scale & Reliability

Whatever your scale or use cases, take advantage of our SaaS platform that’s always prepared to handle more

900+ Vendor-Backed Integrations

Datadog offers wide coverage across any technology, with support and log processing templates provided by Datadog

Logging Without Limits™

Simple, but powerful techniques for prioritizing logs and staying in budget–without manual backups or dropping data

900+ Turn-Key Integrations, Including

Product Benefits

Easily Optimize Search and Indexing Performance

Rapidly pinpoint underlying problems; monitor the number of queries currently in progresss to alert on unusual spikes or dips
Calculate the average latency by sampling the total number of queries and total elapsed time at regular intervals
Analyze how effectively you are able to update indices on your write-heavy Elasticsearch workload

Efficiently Store & Analyze High Volume Logs

Store real-time application logs in Standard Tier and high-volume security, network, operational logs, and more in Flex Tier
Utilize Flex Logs to adjust your retention and querying capacity independently, fulfilling even more use cases than with standard retention
Maximize storage capacity and explore all log types seamlessly with the Log Explorer's tailored querying capabilities, enabling both simple and complex investigations

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Troubleshoot Memory and Garbage Collecion

Track average indexing latency in real time from the total available index and the total available index in milliseconds
Proactively plan for efficient disk usage to keep an eye on disk IO metrics over time
Prevent outages by monitoring and alerting on JVM garbage collection duration and frequency
Reduce garbage collection times to free up heap memory

View Host-Level Systems and Network Metrics at Glance

Visualize CPU usage in a heat map for each of your node types to redistribute load if needed
Monitor network bytes sent and received to ensure balanced clusters
Make sure clients are configured properly to avoid negative impacts on performance and minimize HTTP requests

Evaluate Cluster Health and Node Availability

An unhealthy cluster status can return partial results or even result in a data loss
Quickly identify unstable clusters to prevent nodes from incorrect initiailizing or unassigned states
Resolve detected problems faster with infrastructure metrics, distributed request traces, and logs all within one platform

Improve Resource Saturation and Reduce Errors

Manage how threads consume memory and CPU utilization tracking Elasticsearch nodes in real time
Detect inefficient queries or high memory usage in seconds by utilizing field data and filtering cache usage
Easily analyze query load spikes and correlate performance with search thread pool queue size and query requests

Real results from Datadog customers

12B Log events each day, managed cost-effectively

EA DICE

<2 min Mean time to resolution (MTTR)

CITIZENS BANK

50% Cost savings on cloud resources

TRAVELSUPERMARKET

Loved & Trusted by Thousands

Get free unlimited monitoring for 14 days

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