Kibana consultants
We can help you automate your business with Kibana and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Kibana.
About Kibana
Kibana is the visualisation and dashboarding layer of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). It connects directly to Elasticsearch and lets you build interactive dashboards, run ad-hoc queries, create alerts, and explore log, metric, and event data through a web interface. If your organisation uses Elasticsearch for log management, application monitoring, or security analytics, Kibana is how most teams actually interact with that data.
The practical challenge with Kibana is that it sits in its own silo. Your dashboards and alerts live inside Kibana, but the actions you need to take based on those insights, like creating a support ticket, notifying a team, or updating a record in another system, happen elsewhere. That gap between “seeing a problem in Kibana” and “doing something about it” is where automation comes in.
By connecting Kibana and Elasticsearch to n8n, you can build workflows that query Elasticsearch directly, process the results, and trigger actions in other systems. For example, pull error log counts from Elasticsearch hourly and send a Slack alert if they spike, or query application performance metrics and create a PagerDuty incident when latency exceeds a threshold. If you want to turn your Elastic Stack data into automated responses rather than just dashboards, our system integrations team can help you build those connections.
Kibana FAQs
Frequently Asked Questions
Common questions about how Kibana consultants can help with integration and implementation
Does n8n connect to Kibana directly or to Elasticsearch?
What kind of workflows can I build around Elasticsearch and Kibana data?
Can n8n replace Kibana’s built-in alerting?
How do I authenticate n8n with my Elasticsearch cluster?
Can I visualise n8n workflow results back in Kibana?
What is the difference between using Kibana Watcher and n8n for alerting?
How it works
We work hand-in-hand with you to implement Kibana
As Kibana consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Kibana with integrate and automate 800+ tools.
Step 1
Confirm Elasticsearch API Access
Verify that your Elasticsearch cluster accepts REST API requests from your n8n server’s IP address. Check your cluster’s security settings, network access rules, and authentication method (basic auth, API key, or none). If using Elastic Cloud, generate an API key from the Elastic Cloud console.
Step 2
Create Elasticsearch Credentials in n8n
In n8n, set up an HTTP Request credential with your Elasticsearch endpoint URL and authentication details. For basic auth, use your Elasticsearch username and password. For API key auth, add the API key as a header. Test by sending a simple GET request to your cluster’s health endpoint.
Step 3
Build an Elasticsearch Query Node
Add an HTTP Request node to your workflow configured to POST a query to Elasticsearch’s _search endpoint. Write your query in Elasticsearch Query DSL. For example, query for error-level log entries from the last hour, or aggregate response time metrics by service name. Test the query to confirm it returns expected results.
Step 4
Process and Filter the Results
Elasticsearch returns nested JSON. Add a Code or Set node to extract the fields you need from the response (typically found in hits.hits or aggregations). Use an IF node to apply thresholds, like only proceeding if the error count exceeds a baseline or latency exceeds a target.
Step 5
Connect to Notification and Action Systems
Route filtered results to the systems your team uses. Add a Slack node for team alerts, a Jira or ServiceNow node for ticket creation, a PagerDuty node for on-call incidents, or a Google Sheets node for logging metrics. Include relevant details from the Elasticsearch query in the message or ticket body.
Step 6
Set the Schedule and Activate
Add a Schedule Trigger at the start of your workflow to run at the interval that matches your monitoring needs (e.g. every 5 minutes for real-time alerting, or hourly for batch reporting). Activate the workflow and monitor the first few runs to ensure queries execute within Elasticsearch’s timeout and results are routed correctly.
Transform your business with Kibana
Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Kibana consultation.