elastiflow | Network flow analytics | Pub Sub library

 by   robcowart Shell Version: v4.0.1 License: Non-SPDX

kandi X-RAY | elastiflow Summary

kandi X-RAY | elastiflow Summary

elastiflow is a Shell library typically used in Messaging, Pub Sub, Kafka applications. elastiflow has no bugs, it has no vulnerabilities and it has medium support. However elastiflow has a Non-SPDX License. You can download it from GitHub.

Network flow analytics (Netflow, sFlow and IPFIX) with the Elastic Stack
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              elastiflow has a medium active ecosystem.
              It has 2398 star(s) with 565 fork(s). There are 153 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 650 have been closed. On average issues are closed in 633 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of elastiflow is v4.0.1

            kandi-Quality Quality

              elastiflow has no bugs reported.

            kandi-Security Security

              elastiflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              elastiflow has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              elastiflow releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.

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            elastiflow Key Features

            No Key Features are available at this moment for elastiflow.

            elastiflow Examples and Code Snippets

            No Code Snippets are available at this moment for elastiflow.

            Community Discussions

            QUESTION

            Elasticsearch Aggregation - Return a list of array from documents found
            Asked 2020-Dec-08 at 12:36

            I am querying a time series data using the aggregation functionality. The data to be queried is of categorical nature. I use date histogram to first create buckets. From these generated buckets, I wish to extract actual values from the documents found, forming an array.

            A workaround to the solution might be pushing hits object within the aggs object. Don't know how to do this either.

            The query:

            ...

            ANSWER

            Answered 2020-Dec-08 at 12:36

            I think you're looking for the top_hits metric aggregation:

            Source https://stackoverflow.com/questions/65198948

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install elastiflow

            NOTE - Please refer to INSTALL.md for installation instructions. ElastiFlow™ is built using the Elastic Stack, including Elasticsearch, Logstash and Kibana. Please refer to INSTALL.md for instructions on how to install and configure ElastiFlow™. If you are new to the Elastic Stack, this video goes beyond a simple default installation of Elasticsearch and Kibana. It discusses real-world best practices for hardware sizing and configuration, providing production-level performance and reliability. Additionally local SSD storage should be considered as mandatory! For an in-depth look at how different storage options compare, and in particular how bad HDD-based storage is for Elasticsearch (even in multi-drive RAID0 configurations) you should watch this video... NOTE: Please make sure that have reviewed KNOWN_ISSUES.md prior to getting started.

            Support

            ElastiFlow™ provides network flow data collection and visualization using the Elastic Stack (Elasticsearch, Logstash and Kibana). It supports Netflow v5/v9, sFlow and IPFIX flow types (1.x versions support only Netflow v5/v9). I was inspired to create ElastiFlow™ following the overwhelmingly positive feedback received to an article I posted on Linkedin... WTFlow?! Are you really still paying for commercial solutions to collect and analyze network flow data?.
            Find more information at:

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