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_faqs/01-20-what-tools-do-you-recommend-for-log-and-metrics-collection.md
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question: What tools do you recommend for log and metrics collection? | ||
category: General | ||
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OpenSearch is supported by a range of tools like Beats, Fluentd, Fluent Bit, and OpenTelemetry Collector. Moving forward, we will focus effort on improving Data Prepper, Fluentd, and FluentBit. Users who are using Beats <= 7.12.x as an agent tool, and considering open source alternatives, should migrate to Fluent Bit >= 1.9 or Open Telemetry Collector. Beats version >= 7.13 does not support OpenSearch. |
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_faqs/01-21-what-tools-do-you-recommend-for-log-aggregation.markdown
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question: What tools do you recommend for log aggregation? | ||
category: General | ||
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OpenSearch is supported by a range of tools like Data Prepper, Fluentd, Logstash, and Kafka. OpenSearch believes in multiple open source options and will focus on improving the Data Prepper, Fluentd, and Kakfa support going forward. |
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_faqs/02-01-can-i-use-opensearch-plugins-with-the-proprietary-stack.markdown
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question: Can I use OpenSearch plugins with the proprietary Elastic stack? | ||
category: Plugins | ||
category: Tools and Plugins | ||
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The plugins are tested to work with OpenSearch. They have not been tested with Elastic’s proprietary software. As these plugins are open source, we do welcome anyone who wants to test them out with the Elastic Stack. However, we do not plan to invest in making the OpenSearch plugins work on the Elastic stack. |
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_faqs/02-02-can-i-install-an-opensearch-plugin-as-a-standalone-plugin.markdown
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question: Can I install an OpenSearch plugin as a standalone plugin? | ||
category: Plugins | ||
category: Tools and Plugins | ||
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Yes. You can install an OpenSearch plugin independently of the other plugins. For example, if you would like to use OpenSearch with only our security plugin installed, you can remove the other plugins using the OpenSearch plugin remove command. |
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...elasticsearch-plugins-still-be-available-for-open-source-elasticsearch.markdown
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question: Will older versions of Open Distro for Elasticsearch plugins still be available for open source Elasticsearch? | ||
category: Plugins | ||
category: Tools and Plugins | ||
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Yes, all older Open Distro for Elasticsearch versions of plugins, from 0.7 to 1.13 will continue to remain available for download. |
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_faqs/02-04-does-opensearch-include-forks-of-logstash-and-beats.markdown
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question: Does OpenSearch include forks of logstash and beats? | ||
category: Tools and Plugins | ||
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No. For more information on which versions of Logstash and Beats work with OpenSearch, see the [Compatibility Matrix for Logstash](https://opensearch.org/docs/latest/clients/agents-and-ingestion-tools/index/#compatibility-matrix-for-logstash). |
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question: What is OpenSearch Data Prepper? | ||
category: Tools and Plugins | ||
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Data Prepper is a server-side data collector capable of filtering, enriching, transforming, normalizing and aggregating data for downstream analytics and visualization. Also, Data Prepper lets users build custom pipelines to improve the operational view of applications. | ||
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Two common uses of Data Prepper are trace and log analytics. Trace analytics help you visualize the flow of events and identify performance problems. Log analytics can improve search functionality, as well as help you analyze and provide insights into your application. | ||
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To get started building your own custom pipelines with Data Prepper, see the [Data Prepper Get Started](https://opensearch.org/docs/latest/clients/data-prepper/get-started/) guide. |
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question: What is Fluentd and Fluent Bit? | ||
category: Tools and Plugins | ||
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[Fluentd](https://docs.fluentd.org/installation) is a data collector for log data collection, processing, and forwarding. It’s written in Ruby and supports over 500 plugins including data sources, data output, parsers, formatters, and filters. | ||
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[Fluent Bit](https://docs.fluentbit.io/manual/installation/getting-started-with-fluent-bit) is an agent that collects data from different sources, enriches them with filters, and sends them to multiple destinations. It’s designed with performance in mind, meaning it is optimized for high throughput and low CPU and memory usage. It’s written in C and has an architecture that supports more than 70 plugins for inputs, filters, and outputs. | ||
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