Choose date for the Time Filter field name.Wildcards are supported, so you may want to end your pattern with * to support feature log index cycling. If you used the default value, launchdarkly-audit will match specifically that new index. Enter the appropriate pattern to refer to your LaunchDarkly index or indices.Navigate to Settings in the left-hand navigation by clicking on the gear icon.To make data available to Kibana, you must create a new index pattern: You must configure your Kibana instance to retrieve this data and display it in its own visualizations or annotate your existing timeseries charts. You can use Kibana to visualize the data Elastic (ESK) Stack receives. Kibana is a front-end application that provides search and data visualization for data indexed in Elasticsearch.Īfter you configure the Elastic (ELK) Stack integration, your LaunchDarkly data streams to Elasticsearch and becomes available for searching. To learn more about setting custom policies, read Policies in custom roles. When you've added all the policies you wish, click Save configuration.Repeat steps 3 and 4 for each additional category of data you'd like to send to Elasticsearch.For example, proj/* will send all project data and proj/*:env/* will send all environment data from all projects. Enter a statement for the resources you would like to send to Elasticsearch.Otherwise click + Add statement under "Policy." If the current policy is already expanded, click cancel in the lower-right.The "Edit Elastic (ELK) Stack configuration" panel appears. Find the integration you wish to modify and click Edit integration configuration.If you want to send absolutely everything to Elasticsearch, you must add policies for project and environment data: Proj/web-app:env/production:flag/* COPY Sending more data to ElasticsearchĪlternatively, you use the integration to monitor not just flag changes, but all environment and project changes. The default policy value restricts it to flag changes in production environments: The "Policy" configuration field allows you to control which kinds of LaunchDarkly events are sent to Elasticsearch. After reading the Integration Terms and Conditions, check the I have read and agree to the Integration Terms and Conditions checkbox.Īfter you configure the integration, LaunchDarkly sends flag, environment, and project data to your Elastic cluster.To learn more, read Choosing what data to send. (Optional) Configure a custom policy to control which information LaunchDarkly sends to your Elastic cluster.Enter or use the default value for the Index to which you want to write your LaunchDarkly data.This is the base64 encoding of id and api_key, joined by a colon. Paste in the Elasticsearch endpoint URL.(Optional) Enter a human-readable Name.The "Create Elastic (ELK) Stack configuration" panel. The "Create Elastic (ELK) Stack configuration" panel appears. Navigate to the Integrations page and find "Elastic (ELK) Stack.".Here's how to configure the Elastic Stack integration: You can use the default or choose your own.Ĭonfiguring the Elastic Stack integration Ensure this key gives permission to write to the appropriate Elasticsearch index.Įlasticsearch index: The Elasticsearch index indicates which index the LaunchDarkly data should be written to in your cluster. If you are using the Elastic Search Service from Elastic Cloud, you can find your endpoint URL by clicking your deployment name and selecting Copy Endpoint URL just below the Elasticsearch logo.ĪPI Key credentials: To learn more about getting an API key, read Elastic's API Key Documentation. Your Elasticsearch endpoint URL: This is the destination to which LaunchDarkly sends its data. To configure the Elastic integration, you must have the following prerequisites: You can even use Elasticsearch to find specific information in your logs. The Elastic Time Series Visualization Builder with LaunchDarkly annotations.ĭevelopment teams could also build data visualizations around their LaunchDarkly audit log data to find out more about who interacts with or modifies their feature flags. With the LaunchDarkly Elastic Stack integration sending data to their observability stack, they can easily correlate flag changes atop timeseries and understand what changes happened just before the anomalous activity. LaunchDarkly's Elastic Stack integration supports log aggregation and data and timeseries visualization.įor example, an engineer is alerted to an anomaly in their application's behavior. The Elastic Stack, which is also referred to as the ELK Stack, is a versatile search platform with many use cases, from site and application search to observability and security. This topic explains how to use the LaunchDarkly Elastic (ELK) Stack integration. The Elastic Stack integration is available to customers on a Pro or Enterprise plan. The Elastic Stack integration is a Pro and Enterprise feature
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