Configuring TLS in Elasticsearch
Last Updated :
29 May, 2024
Transport Layer Security (TLS) is an essential feature for securing communication in Elasticsearch. By encrypting data in transit, TLS helps protect sensitive information from interception and tampering. This article will guide you through configuring TLS in Elasticsearch, complete with examples and outputs, presented in an easy-to-understand and beginner-friendly manner.
Introduction to TLS in Elasticsearch
TLS is a cryptographic protocol designed to provide secure communication over a computer network. In Elasticsearch, TLS can be used to encrypt communication between nodes, between Elasticsearch and clients, and between Elasticsearch and Kibana. Setting up TLS ensures that your data remains private and secure.
Prerequisites
Before configuring TLS in Elasticsearch, ensure you have the following:
- Elasticsearch is installed and running.
- A basic understanding of Elasticsearch and its configuration files.
- OpenSSL is installed for generating certificates.
Generating Certificates
Elasticsearch requires certificates to enable TLS. You can generate these certificates using OpenSSL or the Elasticsearch Certutil tool. For simplicity, we'll use the Elasticsearch Certutil tool.
Step 1: Generate a Certificate Authority (CA)
First, create a Certificate Authority (CA) that will sign the certificates for your nodes.
bin/elasticsearch-certutil ca
This command will prompt you to enter a file name for the CA. For example, elastic-stack-ca.p12.
Step 2: Generate Node Certificates
Next, generate the certificates for your Elasticsearch nodes using the CA created in the previous step.
bin/elasticsearch-certutil cert --ca elastic-stack-ca.p12
This command will prompt you to enter a file name for the node certificates. For example, elastic-certificates.p12.
Step 3: Distribute Certificates
Distribute the generated elastic-certificates.p12 file to all your Elasticsearch nodes. This file contains the certificates needed to enable TLS.
Configuring Elasticsearch for TLS
Step 1: Update Elasticsearch Configuration
Open the elasticsearch.yml configuration file on each node and add the following settings:
xpack.security.enabled: true
xpack.security.transport.ssl.enabled: true
xpack.security.transport.ssl.verification_mode: certificate
xpack.security.transport.ssl.keystore.path: /path/to/elastic-certificates.p12
xpack.security.transport.ssl.truststore.path: /path/to/elastic-certificates.p12
xpack.security.http.ssl.enabled: true
xpack.security.http.ssl.keystore.path: /path/to/elastic-certificates.p12
xpack.security.http.ssl.truststore.path: /path/to/elastic-certificates.p12
Replace /path/to/elastic-certificates.p12 with the actual path to your certificate file.
Step 2: Restart Elasticsearch
Restart each Elasticsearch node to apply the new configuration:
bin/elasticsearch
Verifying the TLS Configuration
To verify that TLS is correctly configured, you can use curl to make an HTTPS request to your Elasticsearch cluster.
Example Request
curl --cacert /path/to/elastic-stack-ca.crt -u elastic:password https://localhost:9200
If TLS is configured correctly, you should see a response from Elasticsearch similar to the following:
{
"name" : "node-1",
"cluster_name" : "my-cluster",
"cluster_uuid" : "abcd1234",
"version" : {
"number" : "7.10.0",
"build_flavor" : "default",
"build_type" : "tar",
"build_hash" : "abcdefg",
"build_date" : "2020-11-10T22:14:56.825533Z",
"build_snapshot" : false,
"lucene_version" : "8.7.0",
"minimum_wire_compatibility_version" : "6.8.0",
"minimum_index_compatibility_version" : "6.0.0-beta1"
},
"tagline" : "You Know, for Search"
}
Configuring Kibana for TLS
If you are using Kibana with Elasticsearch, you need to configure Kibana to communicate with Elasticsearch over HTTPS.
Step 1: Update Kibana Configuration
Open the kibana.yml configuration file and add the following settings:
elasticsearch.hosts: ["https://localhost:9200"]
elasticsearch.ssl.certificateAuthorities: ["/path/to/elastic-stack-ca.crt"]
elasticsearch.username: "kibana_system"
elasticsearch.password: "password"
server.ssl.enabled: true
server.ssl.certificate: /path/to/kibana.crt
server.ssl.key: /path/to/kibana.key
Step 2: Restart Kibana
Restart Kibana to apply the new configuration:
bin/kibana
Testing the Configuration
To test the TLS configuration between Kibana and Elasticsearch, open Kibana in your browser using the HTTPS protocol:
https://localhost:5601
You should see the Kibana login page. Log in using the Kibana system user credentials.
Common Issues and Troubleshooting
Issue: Certificate Verification Failed
If you encounter a certificate verification error, ensure that the certificate paths are correct and that the certificates are valid. You can use the following OpenSSL command to check the certificate:
openssl x509 -in /path/to/elastic-stack-ca.crt -text -noout
Issue: Elasticsearch Fails to Start
If Elasticsearch fails to start after configuring TLS, check the Elasticsearch logs for error messages related to SSL configuration. Common issues include incorrect paths to certificate files or missing configuration settings.
Issue: Curl Command Fails with SSL Error
If the curl command fails with an SSL error, ensure that you are using the correct CA certificate and that the Elasticsearch node is accessible over HTTPS.
Conclusion
Configuring TLS in Elasticsearch is a crucial step in securing your data and ensuring secure communication between nodes and clients. By following this guide, you can set up TLS in Elasticsearch, generate the necessary certificates, and configure both Elasticsearch and Kibana to use TLS.
This guide covered generating certificates, configuring Elasticsearch and Kibana for TLS, verifying the configuration, and troubleshooting common issues. By implementing TLS, you enhance the security of your Elasticsearch deployment, protecting your data from unauthorized access and ensuring secure communication within your cluster.
Similar Reads
How to Configure all Elasticsearch Node Roles?
Elasticsearch is a powerful distributed search and analytics engine that is designed to handle a variety of tasks such as full-text search, structured search, and analytics. To optimize performance and ensure reliability, Elasticsearch uses a cluster of nodes, each configured to handle specific role
4 min read
API Conventions in Elasticsearch
An API or Application Programming Interface serves as a bridge between different software applications and enables them to communicate effectively. Elasticsearch is a powerful search and analytics engine that provides a robust API that allows users to interact with the Elasticsearch server over HTTP
6 min read
Completion suggesters in Elasticsearch
Elasticsearch is a scalable search engine that is based on Apache Lucene and provides numerous capabilities related to full-text search, analytics, and others. Of all these features, the completion suggester can be considered one of the most helpful tools built to improve the search functionality th
5 min read
Metric Aggregation in Elasticsearch
Elasticsearch is a powerful tool not just for search but also for performing complex data analytics. Metric aggregations are a crucial aspect of this capability, allowing users to compute metrics like averages, sums, and more on numeric fields within their data. This guide will delve into metric agg
6 min read
Searching Documents in Elasticsearch
Searching documents in Elasticsearch is a foundational skill for anyone working with this powerful search engine. Whether you're building a simple search interface or conducting complex data analysis, understanding how to effectively search and retrieve documents is essential. In this article, we'll
4 min read
Elasticsearch in Java Applications
Elasticsearch is a distributed, free, and public search and analytics engine, that works with all kinds of data, including numerical, textual, geographic, structured, and unstructured. Elasticsearch is lightweight. Elasticsearch has a total dependence size of only about 300 KB. It is just concerned
3 min read
Elasticsearch Plugins
Elasticsearch is an important and powerful search engine that can be extended and customized using plugins. In this article, we'll explore Elasticsearch plugins, covering what they are, why they are used, how to install them and provide examples to demonstrate their functionality. By the end, you'll
4 min read
Significant Aggregation in Elasticsearch
Elasticsearch provides a wide range of aggregation capabilities to analyze data in various ways. One powerful aggregation is the Significant Aggregation, which helps identify significant terms or buckets within a dataset. In this guide, we'll delve into the Significant Aggregation in Elasticsearch,
4 min read
Suggesters in Elasticsearch
Elasticsearch is a powerful, open-source search and analytics engine widely used for full-text search, structured search, and analytics. One of its advanced features is the Suggester, which enhances the search experience by providing real-time, context-aware suggestions to users as they type their q
4 min read
Bucket Aggregation in Elasticsearch
Elasticsearch is a robust tool not only for full-text search but also for data analytics. One of the core features that make Elasticsearch powerful is its aggregation framework, particularly bucket aggregations. Bucket aggregations allow you to group documents into buckets based on certain criteria,
6 min read