171 lines
6.2 KiB
Markdown
171 lines
6.2 KiB
Markdown
---
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layout: default
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title: Ship events to OpenSearch
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parent: Logstash
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nav_order: 220
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---
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# Ship events to OpenSearch
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You can Ship Logstash events to an OpenSearch cluster and then visualize your events with OpenSearch Dashboards.
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Make sure you have [Logstash]({{site.url}}{{site.baseurl}}/clients/logstash/index/#install-logstash), [OpenSearch]({{site.url}}{{site.baseurl}}/opensearch/install/index/), and [OpenSearch Dashboards]({{site.url}}{{site.baseurl}}/dashboards/install/index/).
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{: .note }
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## OpenSearch output plugin
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To run the OpenSearch output plugin, add the following configuration in your `pipeline.conf` file:
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```yml
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output {
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opensearch {
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hosts => "https://localhost:9200"
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user => "admin"
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password => "admin"
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index => "logstash-logs-%{+YYYY.MM.dd}"
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ssl_certificate_verification => false
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}
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}
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```
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## Sample walkthrough
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1. Open the `config/pipeline.conf` file and add in the following configuration:
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```yml
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input {
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stdin {
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codec => json
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}
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}
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output {
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opensearch {
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hosts => "https://localhost:9200"
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user => "admin"
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password => "admin"
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index => "logstash-logs-%{+YYYY.MM.dd}"
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ssl_certificate_verification => false
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}
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}
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```
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This Logstash pipeline accepts JSON input through the terminal and ships the events to an OpenSearch cluster running locally. Logstash writes the events to an index with the `logstash-logs-%{+YYYY.MM.dd}` naming convention.
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2. Start Logstash:
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```bash
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$ bin/logstash -f config/pipeline.conf --config.reload.automatic
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```
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`config/pipeline.conf` is a relative path to the `pipeline.conf` file. You can use an absolute path as well.
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3. Add a JSON object in the terminal:
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```json
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{ "amount": 10, "quantity": 2}
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```
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4. Start OpenSearch Dashboards and choose **Dev Tools**:
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```json
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GET _cat/indices?v
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health | status | index | uuid | pri | rep | docs.count | docs.deleted | store.size | pri.store.size
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green | open | logstash-logs-2021.07.01 | iuh648LYSnmQrkGf70pplA | 1 | 1 | 1 | 0 | 10.3kb | 5.1kb
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```
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## Adding different Authentication mechanisms in the Output plugin
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## auth_type to support different authentication mechanisms
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In addition to the existing authentication mechanisms, if we want to add new authentication then we will be adding them in the configuration by using auth_type
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Example Configuration for basic authentication:
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```yml
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output {
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opensearch {
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hosts => ["https://hostname:port"]
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auth_type => {
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type => 'basic'
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user => 'admin'
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password => 'admin'
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}
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index => "logstash-logs-%{+YYYY.MM.dd}"
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}
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}
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```
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### Parameters inside auth_type
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- type (string) - We should specify the type of authentication
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- We should add credentials required for that authentication like 'user' and 'password' for 'basic' authentication
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- We should also add other parameters required for that authentication mechanism like we added 'region' for 'aws_iam' authentication
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## Configuration for AWS IAM Authentication
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To run the Logstash Output Opensearch plugin using aws_iam authentication, simply add a configuration following the below documentation.
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Example Configuration:
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```yml
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output {
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opensearch {
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hosts => ["https://hostname:port"]
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auth_type => {
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type => 'aws_iam'
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aws_access_key_id => 'ACCESS_KEY'
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aws_secret_access_key => 'SECRET_KEY'
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region => 'us-west-2'
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}
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index => "logstash-logs-%{+YYYY.MM.dd}"
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}
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}
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```
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### Required Parameters
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- hosts (array of string) - AmazonOpensearchService domain endpoint : port number
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- auth_type (Json object) - Which holds other parameters required for authentication
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- type (string) - "aws_iam"
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- aws_access_key_id (string) - AWS access key
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- aws_secret_access_key (string) - AWS secret access key
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- region (string, :default => "us-east-1") - region in which the domain is located
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- if we want to pass other optional parameters like profile, session_token,etc. They needs to be added in auth_type
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- port (string) - AmazonOpensearchService listens on port 443 for HTTPS
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- protocol (string) - The protocol used to connect to AmazonOpensearchService is 'https'
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### Optional Parameters
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- The credential resolution logic can be described as follows:
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- User passed aws_access_key_id and aws_secret_access_key in configuration
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- Environment variables - AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY (RECOMMENDED since they are recognized by all the AWS SDKs and CLI except for .NET), or AWS_ACCESS_KEY and AWS_SECRET_KEY (only recognized by Java SDK)
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- Credential profiles file at the default location (~/.aws/credentials) shared by all AWS SDKs and the AWS CLI
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- Instance profile credentials delivered through the Amazon EC2 metadata service
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- template (path) - You can set the path to your own template here, if you so desire. If not set, the included template will be used.
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- template_name (string, default => "logstash") - defines how the template is named inside Opensearch
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## Data streams
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The OpenSearch output plugin can store both time series datasets (such as logs, events, and metrics) and non-time series data in OpenSearch.
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The data stream is recommended to index time series datasets (such as logs, metrics, and events) into OpenSearch.
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To know more about data streams, refer to this [documentation](https://opensearch.org/docs/latest/opensearch/data-streams/).
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We can ingest data into a data stream through logstash. We need to create the data stream and specify the name of data stream and the `op_type` of `create` in the output configuration. The sample configuration is shown below:
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```yml
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output {
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opensearch {
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hosts => ["https://hostname:port"]
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auth_type => {
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type => 'basic'
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user => 'admin'
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password => 'admin'
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}
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index => "my-data-stream"
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action => "create"
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}
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}
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```
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