Amazon logstash

Amazon logstash DEFAULT

Ruan Bekker's Blog

logstash

As many of you might know, when you deploy a ELK stack on Amazon Web Services, you only get E and K in the ELK stack, which is Elasticsearch and Kibana. Here we will be dealing with Logstash on EC2.

What will we be doing

In this tutorial we will setup a Logstash Server on EC2, setup a IAM Role and Autenticate Requests to Elasticsearch with an IAM Role, setup Nginx so that logstash can ship logs to Elasticsearch.

I am not fond of working with access key’s and secret keys, and if I can stay away from handling secret information the better. So instead of creating a access key and secret key for logstash, we will instead create a IAM Policy that will allow the actions to Elasticsearch, associate that policy to an IAM Role, set EC2 as a trusted entity and strap that IAM Role to the EC2 Instance.

Then we will allow the IAM Role ARN to the Elasticsearch Policy, then when Logstash makes requests against Elasticsearch, it will use the IAM Role to assume temporary credentials to authenticate. That way we don’t have to deal with keys. But I mean you can create access keys if that is your preferred method, I’m just not a big fan of keeping secret keys.

The benefit of authenticating with IAM, allows you to remove a reverse proxy that is another hop to the path of your target.

Create the IAM Policy:

Create a IAM Policy that will allow actions to Elasticsearch:

12345678910111213141516

Create Role logstash-system-es with “ec2.amazonaws.com” as trusted entity in trust the relationship and associate the above policy to the role.

Authorize your Role in Elasticsearch Policy

Head over to your Elasticsearch Domain and configure your Elasticsearch Policy to include your IAM Role to grant requests to your Domain:

123456789101112131415

Install Logstash on EC2

I will be using Ubuntu Server 18. Update the repositories and install dependencies:

12345

As logstash requires Java, install the the Java OpenJDK Runtime Environment:

1

Verify that Java is installed:

1234

Now, install logstash and enable the service on boot:

123

Install the Amazon ES Logstash Output Plugin

For us to be able to authenticate using IAM, we should use the Amazon-ES Logstash Output Plugin. Update and install the plugin:

12

Configure Logstash

I like to split up my configuration in 3 parts, (input, filter, output).

Let’s create the input configuration:

123456

Our filter configuration:

12345678910

And lastly, our output configuration: :

123456789

Note that the directives has been left empty as that seems to be the way it needs to be set when using roles. Authentication will be assumed via the Role which is associated to the EC2 Instance.

If you are using access keys, you can populate them there.

Start Logstash

Start logstash:

1

Tail the logs to see if logstash starts up correctly, it should look more or less like this:

123456

Install Nginx

As you noticed, I have specified as my input file for logstash, as we will test logstash by shipping nginx access logs to Elasticsearch Service.

Install Nginx:

Start the service:

12

Make a GET request on your Nginx Web Server and inspect the log on Kibana, where it should look like this:

Posted by Ruanamazon, aws, elasticsearch, elk, iam, logstash

Tweet

Ruan BekkerMy name is Ruan, I'm a DevOps Engineer from South Africa. I'm passionate about AWS, OpenSource, Observability, Containers, Linux, Automation and sharing my findings with the world. More info about me on my website, ruan.dev.

Follow @ruanbekker

« Use Vagrant to Setup a Local Development Environment on LinuxTesting out Scaleways Kapsule their Kubernetes as a Service offering »

Sours: https://blog.ruanbekker.com/blog/2019/06/04/setup-a-logstash-server-for-amazon-elasticsearch-service-and-auth-with-iam/

Logstash Plugin

This is a plugin for Logstash.

License

This library is licensed under Apache License 2.0.

Compatibility

The following table shows the versions of logstash and logstash-output-amazon_es Plugin was built with.

logstash-output-amazon_esLogstash
6.0.0<6.0.0
6.4.0>6.0.0

Also, logstash-output-amazon_es plugin versions 6.4.0 and newer are tested to be compatible with Elasticsearch 6.5 and greater.

logstash-output-amazon_esElasticsearch
6.4.0+6.5+

Configuration for Amazon Elasticsearch Service Output Plugin

To run the Logstash Output Amazon Elasticsearch Service plugin, simply add a configuration following the below documentation.

An example configuration:

Required Parameters

  • hosts (array of string) - the Amazon Elasticsearch Service domain endpoint (e.g. )
  • region (string, :default => "us-east-1") - region where the domain is located

Optional Parameters

  • Credential parameters:

    • aws_access_key_id, :validate => :string - optional AWS access key
    • aws_secret_access_key, :validate => :string - optional AWS secret key

    The credential resolution logic can be described as follows:

    • User passed and in configuration
    • Environment variables - and (RECOMMENDED since they are recognized by all the AWS SDKs and CLI except for .NET), or and (only recognized by Java SDK)
    • Credential profiles file at the default location () shared by all AWS SDKs and the AWS CLI
    • Instance profile credentials delivered through the Amazon EC2 metadata service
  • 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.

  • template_name (string, default => "logstash") - defines how the template is named inside Elasticsearch

  • port (string, default 443) - Amazon Elasticsearch Service listens on port 443 for HTTPS (default) and port 80 for HTTP. Tweak this value for a custom proxy.

  • protocol (string, default https) - The protocol used to connect to the Amazon Elasticsearch Service

  • max_bulk_bytes - The max size for a bulk request in bytes. Default is 20MB. It is recommended not to change this value unless needed. For guidance on changing this value, please consult the table for network limits for your instance type: https://docs.aws.amazon.com/elasticsearch-service/latest/developerguide/aes-limits.html#network-limits

After 6.4.0, users can't set batch size in this output plugin config. However, users can still set batch size in logstash.yml file.

Developing

1. Plugin Development and Testing

Code

  1. To get started, you'll need JRuby with the Bundler gem installed.

  2. Create a new plugin or clone and existing from the GitHub logstash-plugins organization. Example plugins exist.

  3. Install dependencies:

Test

  1. Update your dependencies:

  2. Run unit tests:

2. Running your unpublished plugin in Logstash

2.1 Run in a local Logstash clone

  1. Edit Logstash and add the local plugin path, for example:

    gem"logstash-filter-awesome",:path=>"/your/local/logstash-filter-awesome"
  2. Install the plugin:

    # Logstash 2.3 and higher bin/logstash-plugin install --no-verify # Prior to Logstash 2.3 bin/plugin install --no-verify
  3. Run Logstash with your plugin:

    bin/logstash -e 'filter {awesome {}}'

At this point any modifications to the plugin code will be applied to this local Logstash setup. After modifying the plugin, simply re-run Logstash.

2.2 Run in an installed Logstash

Before build your , please make sure use JRuby. Here is how you can know your local Ruby version:

Please make sure you current using JRuby. Here is how you can change to JRuby

You can use the same 2.1 method to run your plugin in an installed Logstash by editing its and pointing the to your local plugin development directory. You can also build the gem and install it using:

  1. Build your plugin gem:

    gem build logstash-filter-awesome.gemspec
  2. Install the plugin from the Logstash home:

    # Logstash 2.3 and higher bin/logstash-plugin install --no-verify # Prior to Logstash 2.3 bin/plugin install --no-verify
  3. Start Logstash and test the plugin.

Old version support

If you want to use old version of logstash-output-amazon_es, you can install with this:

bin/logstash-plugin install logstash-output-amazon_es -v 2.0.0

Contributing

All contributions are welcome: ideas, patches, documentation, bug reports, and complaints.

Sours: https://github.com/awslabs/logstash-output-amazon_es
  1. Dr dre beats vs bose
  2. Animated duck wallpaper
  3. Dark apprentice lightsaber
  4. Olympic mascot plush
  5. Chica exe

Loading data into Amazon OpenSearch Service with Logstash

The open source version of Logstash (Logstash OSS) provides a convenient way to use the bulk API to upload data into your Amazon OpenSearch Service domain. The service supports all standard Logstash input plugins, including the Amazon S3 input plugin. OpenSearch Service currently supports the following Logstash output plugins depending on your Logstash version, authentication method, and whether your domain is running Elasticsearch or OpenSearch:

The following tables describe the compatibility between various authentication mechanisms and Logstash output plugins.

*In order for OpenSearch domains to use IAM authentication with Logstash OSS, you need to choose Enable compatibility mode in the console when creating or upgrading to an OpenSearch version. This setting makes the domain artificially report its version as 7.10 so the plugin continues to work. To use the AWS CLI or configuration API, set to in the advanced settings.

To enable or disable compatibility mode on existing OpenSearch domains, you need to use the OpenSearch API:

For an Elasticsearch OSS domain, you can continue to use the standard Elasticsearch plugin or the logstash-output-amazon_es plugin based on your authentication mechanism.

Logstash OSS versionAuthenticationOutput plugin

7.12.x and lower

Basic

Standard Elasticsearch plugin

IAM

logstash-output-amazon_es

Configuration

If your OpenSearch Service domain uses fine-grained access control with HTTP basic authentication, configuration is similar to any other OpenSearch cluster. This example configuration file takes its input from the open source version of Filebeat (Filebeat OSS):

Configuration varies by Beats application and use case, but your Filebeat OSS configuration might look like this:

If your domain uses an IAM-based domain access policy or fine-grained access control with an IAM master user, you must sign all requests to OpenSearch Service using IAM credentials. In this case, the simplest solution to sign requests from Logstash OSS is to use the logstash-output-amazon_es plugin.

First, install the plugin.

Then export your IAM credentials (or run ).

Finally, change your configuration file to use the plugin for its output. This example configuration file takes its input from files in an S3 bucket.

If your OpenSearch Service domain is in a VPC, the Logstash OSS machine must be able to connect to the VPC and have access to the domain through the VPC security groups. For more information, see About access policies on VPC domains.

Sours: https://docs.aws.amazon.com/opensearch-service/latest/developerguide/managedomains-logstash.html
Amazon Elasticsearch Service Deep Dive - AWS Online Tech Talks
  • Plugin version: v4.3.5
  • Released on: 2021-10-06
  • Changelog

For other versions, see the Versioned plugin docs.

For questions about the plugin, open a topic in the Discuss forums. For bugs or feature requests, open an issue in Github. For the list of Elastic supported plugins, please consult the Elastic Support Matrix.

This plugin batches and uploads logstash events into Amazon Simple Storage Service (Amazon S3).

The S3 output plugin only supports AWS S3. Other S3 compatible storage solutions are not supported.

S3 outputs create temporary files into the OS' temporary directory. You can specify where to save them using the option.

For configurations containing multiple s3 outputs with the restore option enabled, each output should define its own temporary_directory.

  • Amazon S3 Bucket and S3 Access Permissions (Typically access_key_id and secret_access_key)
  • S3 PutObject permission
`ls.s3.312bc026-2f5d-49bc-ae9f-5940cf4ad9a6.2013-04-18T10.00.tag_hello.part0.txt`

ls.s3

indicates logstash plugin s3

312bc026-2f5d-49bc-ae9f-5940cf4ad9a6

a new, random uuid per file.

2013-04-18T10.00

represents the time whenever you specify time_file.

tag_hello

indicates the event’s tag.

part0

If you indicate size_file, it will generate more parts if your file.size > size_file. When a file is full, it gets pushed to the bucket and then deleted from the temporary directory. If a file is empty, it is simply deleted. Empty files will not be pushed.

This plugin will recover and upload temporary log files after crash/abnormal termination when using set to true

This is an example of logstash config:

output { s3{ access_key_id => "crazy_key" (optional) secret_access_key => "monkey_access_key" (optional) region => "eu-west-1" (optional, default = "us-east-1") bucket => "your_bucket" (required) size_file => 2048 (optional) - Bytes time_file => 5 (optional) - Minutes codec => "plain" (optional) canned_acl => "private" (optional. Options are "private", "public-read", "public-read-write", "authenticated-read", "aws-exec-read", "bucket-owner-read", "bucket-owner-full-control", "log-delivery-write". Defaults to "private" ) }

S3 Output Configuration Optionsedit

This plugin supports the following configuration options plus the Common Options described later.

SettingInput typeRequired

string

No

hash

No

string

No

string

Yes

string, one of

No

string, one of

No

string

No

string

No

string

No

string

No

boolean

No

number

No

number

No

string

No

string

No

string, one of

No

string

No

boolean

No

string, one of

No

string

No

string, one of

No

number

No

string

No

string, one of

No

string

No

number

No

number

No

number

No

number

No

boolean

No

Also see Common Options for a list of options supported by all output plugins.

 

  • Value type is string
  • There is no default value for this setting.

This plugin uses the AWS SDK and supports several ways to get credentials, which will be tried in this order:

  1. Static configuration, using and params in logstash plugin config
  2. External credentials file specified by
  3. Environment variables and
  4. Environment variables and
  5. IAM Instance Profile (available when running inside EC2)
  • Value type is hash
  • Default value is

Key-value pairs of settings and corresponding values used to parametrize the connection to S3. See full list in the AWS SDK documentation. Example:

output { s3 { access_key_id => "1234", secret_access_key => "secret", region => "eu-west-1", bucket => "logstash-test", additional_settings => { "force_path_style" => true, "follow_redirects" => false } } }
  • Value type is string
  • There is no default value for this setting.

Path to YAML file containing a hash of AWS credentials. This file will only be loaded if and aren’t set. The contents of the file should look like this:

:access_key_id: "12345" :secret_access_key: "54321"
  • This is a required setting.
  • Value type is string
  • There is no default value for this setting.

S3 bucket

  • Value can be any of: , , , , , , ,
  • Default value is

The S3 canned ACL to use when putting the file. Defaults to "private".

  • Value can be any of: ,
  • Default value is

Specify the content encoding. Supports ("gzip"). Defaults to "none"

  • Value type is string
  • There is no default value for this setting.

The endpoint to connect to. By default it is constructed using the value of . This is useful when connecting to S3 compatible services, but beware that these aren’t guaranteed to work correctly with the AWS SDK. The endpoint should be an HTTP or HTTPS URL, e.g. https://example.com

  • Value type is string
  • Default value is

Specify a prefix to the uploaded filename to simulate directories on S3. Prefix does not require leading slash. This option supports Logstash interpolation. For example, files can be prefixed with the event date using .

Take care when you are using interpolated strings in prefixes. This has the potential to create large numbers of unique prefixes, causing large numbers of in-progress uploads. This scenario may result in performance and stability issues, which can be further exacerbated when you use a rotation_strategy that delays uploads.

  • Value type is string
  • There is no default value for this setting.

URI to proxy server if required

  • Value type is string
  • Default value is

The AWS Region

  • Value type is boolean
  • Default value is

Used to enable recovery after crash/abnormal termination. Temporary log files will be recovered and uploaded.

  • Value type is number
  • Default value is

Allows to limit number of retries when S3 uploading fails.

  • Value type is number
  • Default value is

Delay (in seconds) to wait between consecutive retries on upload failures.

  • Value type is string
  • There is no default value for this setting.

The AWS IAM Role to assume, if any. This is used to generate temporary credentials, typically for cross-account access. See the AssumeRole API documentation for more information.

  • Value type is string
  • Default value is

Session name to use when assuming an IAM role.

  • Value can be any of: , ,
  • Default value is

Controls when to close the file and push it to S3.

If you set this value to , it uses the value set in . If you set this value to , it uses the value set in . If you set this value to , it uses the values from and , and splits the file when either one matches.

The default strategy checks both size and time. The first value to match triggers file rotation.

  • Value type is string
  • There is no default value for this setting.

The AWS Secret Access Key

edit

  • Value type is boolean
  • Default value is

Specifies whether or not to use S3’s server side encryption. Defaults to no encryption.

edit

  • Value can be any of: ,
  • Default value is

Specifies what type of encryption to use when SSE is enabled.

  • Value type is string
  • There is no default value for this setting.

The AWS Session token for temporary credential

  • Value can be any of: ,
  • There is no default value for this setting.

The version of the S3 signature hash to use. Normally uses the internal client default, can be explicitly specified here

  • Value type is number
  • Default value is

Set the file size in bytes. When the number of bytes exceeds the value, a new file is created. If you use tags, Logstash generates a specific size file for every tag.

  • Value type is string
  • Default value is

Set the directory where logstash will store the tmp files before sending it to S3 default to the current OS temporary directory in linux /tmp/logstash

  • Value type is number
  • Default value is

Set the time, in MINUTES, to close the current sub_time_section of bucket. If is set to or , then cannot be set to 0. Otherwise, the plugin raises a configuration error.

edit

  • Value type is number
  • Default value is

Files larger than this number are uploaded using the S3 multipart APIs

  • Value type is number
  • Default value is

Number of items we can keep in the local queue before uploading them

  • Value type is number
  • Default value is

Specify how many workers to use to upload the files to S3

edit

  • Value type is boolean
  • Default value is

The common use case is to define permissions on the root bucket and give Logstash full access to write logs. In some circumstances, you need more granular permissions on the subfolder. This allows you to disable the check at startup.

The following configuration options are supported by all output plugins:

  • Value type is codec
  • Default value is

The codec used for output data. Output codecs are a convenient method for encoding your data before it leaves the output without needing a separate filter in your Logstash pipeline.

  • Value type is boolean
  • Default value is

Disable or enable metric logging for this specific plugin instance. By default we record all the metrics we can, but you can disable metrics collection for a specific plugin.

  • Value type is string
  • There is no default value for this setting.

Add a unique to the plugin configuration. If no ID is specified, Logstash will generate one. It is strongly recommended to set this ID in your configuration. This is particularly useful when you have two or more plugins of the same type. For example, if you have 2 s3 outputs. Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs.

output { s3 { id => "my_plugin_id" } }

Variable substitution in the field only supports environment variables and does not support the use of values from the secret store.

Sours: https://www.elastic.co/guide/en/logstash/current/plugins-outputs-s3.html

Logstash amazon

Product Overview

Logstash is an open source data processing engine. It ingests data from multiple sources, processes it, and sends the output to final destination in real-time. It is a core component of the ELK stack.

Why Use Bitnami Container Solutions?

Bitnami certifies that our containers are secure, up-to-date, and packaged using industry best practices. Bitnami container solutions can be used with Kubeapps for deployment and management of Helm Charts in clusters.

Highlights

  • Up-to-date and secure. When vulnerabilities are identified or new versions of the application and its components are released, Bitnami automatically repackages the Helm chart and pushes the latest version to the cloud marketplaces.
  • Ready to run on Kubernetes. Bitnami Helm charts reduce the complexity of application deployment on a cluster by defining Kubernetes objects in the manifest files.
  • Manage with Kubeapps. Use Kubeapps for easier and safer management of applications in Kubernetes clusters.

Pricing Information

Usage Information

Support Information

Customer Reviews

Sours: https://aws.amazon.com/marketplace/pp/prodview-4ixlqm3np2dty
Send ALB / ELB (from S3) logs to Elasticsearch/ Kibana with Logstash

How do I integrate Logstash with Amazon’s Elasticsearch Service (ES)?

Learn the somewhat quirky process for integrating Logstash with the Amazon Elasticsearch Service.

By Frank Kane

June 27, 2017

Logstash won’t integrate with Amazon Elasticsearch (ES) using the standard ES connector. In this video, Amazon veteran Frank Kane guides you to successful Logstash-Amazon ES integration by walking you through the steps necessary to install the Logstash plug-in, point Logstash to your domain, and manage the permissions on the key pairs you use for this purpose.



Learn more about the quirks, processes, and capabilities of Amazon’s Elasticsearch Service from Amazon veteran Frank Kane.

Learn faster. Dig deeper. See farther.

Post topics: Data

Post tags: Questions

Get the O’Reilly Data Newsletter

Receive weekly insight from industry insiders—plus exclusive content, offers, and more on the topic of data.

View sample newsletter

Great snapshot of the tech and big data sector… makes for a ‘must open.’

J Eling, VP Business Dev

Get the O’Reilly Data Newsletter

Receive weekly insight from industry insiders—plus exclusive content, offers, and more on the topic of data.

View sample newsletter
Sours: https://www.oreilly.com/content/how_do_i_integrate_logstash_with_amazons_elasticsearch_service_es/

You will also be interested:

The ELK stack is an acronym used to describe a stack that comprises of three popular projects: Elasticsearch, Logstash, and Kibana. Often referred to as Elasticsearch, the ELK stack gives you the ability to aggregate logs from all your systems and applications, analyze these logs, and create visualizations for application and infrastructure monitoring, faster troubleshooting, security analytics, and more.

E = Elasticsearch
Elasticsearch is a distributed search and analytics engine built on Apache Lucene. Support for various languages, high performance, and schema-free JSON documents makes Elasticsearch an ideal choice for various log analytics and search use cases. Learn more »

On January 21, 2021, Elastic NV announced that they would change their software licensing strategy and not release new versions of Elasticsearch and Kibana under the permissive Apache License, Version 2.0 (ALv2) license. Instead, new versions of the software will be offered under the Elastic license, with source code available under the Elastic License or SSPL. These licenses are not open source and do not offer users the same freedoms. To ensure that the open source community and our customers continue to have a secure, high-quality, fully open source search and analytics suite, we introduced the OpenSearch project, a community-driven, ALv2 licensed fork of open source Elasticsearch and Kibana. The OpenSearch suite consists of a search engine, OpenSearch, and a visualization and user interface, OpenSearch Dashboards.

L = Logstash
Logstash is an open-source data ingestion tool that allows you to collect data from a variety of sources, transform it, and send it to your desired destination. With pre-built filters and support for over 200 plugins, Logstash allows users to easily ingest data regardless of the data source or type. Learn more »

K = Kibana
Kibana is a data visualization and exploration tool for reviewing logs and events. Kibana offers easy-to-use, interactive charts, pre-built aggregations and filters, and geospatial support and making it the preferred choice for visualizing data stored in Elasticsearch. Learn more »

The ELK Stack fulfills a need in the log analytics space. As more and more of your IT infrastructure move to public clouds, you need a log management and analytics solution to monitor this infrastructure as well as process any server logs, application logs, and clickstreams. The ELK stack provides a simple yet robust log analysis solution for your developers and DevOps engineers to gain valuable insights on failure diagnosis, application performance, and infrastructure monitoring – at a fraction of the price.

Sours: https://aws.amazon.com/opensearch-service/the-elk-stack/


698 699 700 701 702