Bonsai
DevOps teams spend time navigating dashboards to check cluster health. Your AI agent retrieves Bonsai cluster details, lists available spaces, and monitors Elasticsearch configurations. Search infrastructure oversight happens through Slack.
Your AI agent provides visibility into Bonsai's managed Elasticsearch and OpenSearch clusters through simple conversation.
Bonsai
See how DevOps teams use AI agents to monitor Elasticsearch clusters, check configurations, and plan deployments.
An SRE receives an alert about search latency. They ask the AI Agent for cluster details by providing the cluster slug. The agent calls Bonsai's Get Cluster Details API and returns status, version, and configuration. The engineer quickly identifies resource constraints without logging into multiple dashboards.
A DevOps team plans to launch search for a new product. They ask the AI Agent about available spaces for Elasticsearch 8.x. The agent queries Bonsai's List Spaces API and returns regions with version support. The team selects the optimal AWS region for their cluster based on latency requirements.
A platform team audits their search infrastructure for SOC 2 compliance. They ask the AI Agent to list all cluster configurations. The agent retrieves details for each Bonsai cluster including version, region, and plan. The team documents their Elasticsearch estate without manual dashboard navigation.
Bonsai
FAQs
The agent calls Bonsai's REST API endpoints with your credentials. Provide a cluster slug like 'my-cluster-1234567890' and the agent retrieves complete configuration including status, version, plan, and connection URL.
Currently, the integration focuses on retrieval and monitoring. Cluster provisioning, scaling, and deletion happen through Bonsai's dashboard, API, or Terraform provider. The agent provides read-only visibility.
Tars requires your Bonsai API credentials from your account settings. The credentials authenticate requests to retrieve cluster and space information. Use read-only credentials for monitoring-only access.
No. The agent retrieves metadata about clusters from Bonsai's management API, not your search indices. Your indexed documents and search queries remain within your Elasticsearch clusters.
Yes. Bonsai supports both Elasticsearch and OpenSearch. The agent retrieves cluster details regardless of which search engine you use. Configuration and status are available for both.
The dashboard requires logging in and navigating to each cluster. Tars enables quick queries like 'Get production cluster status' or 'List available AWS regions' from Slack without browser context switching.
Bonsai runs on AWS, GCP, and Azure across multiple regions. Ask the agent to list spaces to see all available regions with their supported Elasticsearch versions and pricing tiers.
Yes. Bonsai clusters provisioned through Heroku have the same API access. Retrieve your API credentials from the Heroku add-on dashboard and configure them in Tars.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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