UDEMY_ELASTICSEARCH_LOGSTASH_KIBANA_ELK_SHARP_2_LEARN_LOGSTASH_TUTORIAL-kEISO

Section

Appz

Group

kEISO

Size

356,13 MB

Files

10

Date

2017-03-28

NFO

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  ▀▓████▀▓█▀ ▀▓▀                                               ▀▓  ▀█▓▀████▓▀
 █ ▀█▓▓██▄▄██    TITLE: ElasticSearch, LogStash, Kibana ELK sharp ██▄▄██▓▓█▀ █
 █▀ ▐█▒▓██░██            2 - Learn LogStash                       ██░██▓▒█▌ ▀█
 █▀  █▓███▒█▌                                                     ▐█▒███▓█  ▀█
 █▀ ▐█▓███▓█░                                                     ░█▓███▓█▌ ▀█
 █▀ ▐██████▌     PUBLISHER..........: UDEMY                        ▐██████▌ ▀█
 █▀ ▀▀████▓      LINK...............: https://v.gd/rw3lht           ▓████▀▀ ▀█
 ▌ ▓██▌▄ ▀▀      AUTHOR.............: Manuj Aggarwal                ▀▀ ▄▐██▓ ▐
 ▌▐███░▒███▌     LEVEL..............: All Levels                   ▐███▒░███▌▐
 ▌ ████▓████     RUNTIME............: 148 minutes                  ████▓████ ▐
 █ ▐▓█▀█████░    LANGUAGE...........: ENGLISH                     ░█████▀█▓▌ █
 █▀ ▀▄█▄▄▀▀█▓    RELEASE TYPE.......: RETAIL                      ▓█▀▀▄▄█▄▀ ▀█
 █▀▄ ▄▀███▓▄     RELEASE FORMAT.....: ISO                          ▄▓███▀▄ ▄▀█
 █▀█ ▐▓▄▀████    STORE DATE:........: 2017.03.20                  ████▀▄▓▌ █▀█
 █▀█ ▐█▌▓██▓     RELEASE DATE.......: 2017.03.25                   ▓██▓▐█▌ █▀█
 ▓▀█ ▓▌░██▓      ISO SIZE...........: 373,407,744                   ▓██░▐▓ █▀▓
 ▒▀█ █ ▓█▓       ISO CHECKSUM.......: CD1E9FB8                       ▓█▓ █ █▀▒
 ░ █ ▌░██        DISKCOUNT..........: 8 * 50MB                        ██░▐ █ ░
   ▓█▌▓█▌        SAVED MONEY........: YOU DID!                          ▐█▓▐█▓
 ░ ▒█▐██         DISKNAME...........: keiso_uelkelks2ll                ██▌█▒ ░
   ░▀ ▀                                                                   ▀ ▀░
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█▀  ▓░  ▄ █▄▌██ ▄ ▀ ▀█▌▐▓▀         TUTORIAL          ▀▓▌▐█▀ ▀ ▄ ██▐▄█ ▄  ░▓  ▀█
 ▄▀ ▄ ▀▄   ▀▌▓█   ▀▄▄ ▀ ▀▄                           ▄▀ ▀ ▄▄▀   █▓▐▀   ▄▀ ▄ ▀▄
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 █▀█ ▄▓  ▄ █▀▀                                                   ▀▀█ ▄  ▓▄ █▀█
 █▀█ ▄▓  ▄ ▐▌                                                     ▐▌ ▄  ▓▄ █▀█
 █▀█ █▓ ▄▓▄▀ In the recent years û the term BigData has been     ▀▄▓▄ ▓█ █▀█
 █▀█ ▓▒  ▒  gaining popularity. And there has been a paradigm        ▒  ▒▓ █▀█
 █▀█ ▒░  ░  shift in the volume of information and the ways in       ░  ░▒ █▀█
 ▓▀█ ▒░  which it can be extracted from this data.                      ░▒ █▀▓
 ▒▀█ ░▓                                                                 ▓░ █▀▒
 ░ █  ▒ ELK is one of the few new-age frameworks which is               ▒  █ ░
   ▓  ░  capable of handling Big Data demands and scale.                ░  ▓
 ░ ▒  ░                                                                 ░  ▒ ░
   ░ Over the years the ELK stack has become quite popular. And for a   ░
   ░  good reason. It is a very robust, mature and feature rich         ░
   ░  framework.                                                        ░
   ░                                                                    ░
   ░ ELK is used by large enterprises, government organizations and     ░
   ░  startups alike. The ELK stack has a very rich and active          ░
   ░  community behind it. They develop, share and support tons of      ░
   ░  source code, components, plugins and knowledge                    ░
   ░  about these tools freely and openly.                              ░
   ░                                                                    ░
   ░ Imagine a large organization, which has information                ░
   ░  coming in from varied sources, at varied                          ░
   ░  frequencies, and in various formats. It will be a                 ░
   ░  herculean task to sort and sift through this data                 ░
   ░  and normalize it to use for any comprehensive                     ░
   ░  analysis. We will need a pretty versatile and flexible tool to    ░
   ░  deal with all these permutations of data streams.                 ░
   ░                                                                    ░
   ░ In this course, we will focus on one such enterprise data          ░
   ░  collection and collation tool-The LogStash which is one of the    ░
   ░  core components of the ELK stack. We will look at the overview    ░
   ░  and explore the technology that goes behind this tool.            ░
   ░                                                                    ░
   ░ Knowledge and experience about ELK and LogStash                    ░
   ░  could be very valuable for your career. The latest                ░
   ░  stats and figures show some amazing numbers like                  ░
   ░  jobs requiring these skill sets pay higher than most              ░
   ░  of the jobs posted on public job boards within the                ░
   ░  US and annual salaries for professionals could be as              ░
   ░  high as $100,000. That is the exact reason why you                ░
   ░  must enroll in this course and take your career to                ░
   ░  the next level.                                                   ░
   ░                                                                    ░
   ░ As the title suggests û this course aims to provide you          ░
   ░  enough knowledge about ELK and LogStash so that you can run and   ░
   ░  operate your own data ingestion pipelines cluster using these     ░
   ░  components together. But specifically:                            ░
   ░                                                                    ░
   ░ * You will get familiar with the features and benefits offered by  ░
   ░  LogStash.                                                         ░
   ░ * Since this course provides detailed demos of                     ░
   ░  installation and configuration of LogStash, it                    ░
   ░  will equip you well for future use of this                        ░
   ░  technology.                                                       ░
   ░ * The more equipped you are, the more sought after                 ░
   ░  you will be. And this course will be a right step                 ░
   ░  towards improving your work/ project/ career                      ░
   ░  prospects.                                                        ░
   ░                                                                    ░
   ░ So come, join me on this exciting journey of learning ElK stack    ░
   ░  and in particular the LogStash data ingestion tool.               ░
   ░                                                                    ░
 ░                                                                           ░
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 ▌▐▓█                                                                     █▓▌▐
 ▌ ░▓█                                                                   █▓░ ▐
 █  ░██                                                                 ██░  █
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 █▀█ █ █  ▀█▄▀█ ▀██▄▀█▄ ▐█▓░  ▀ ■    ▐ ▒ ▌    ■ ▀  ░▓█▌ ▄█▀▄██▀ █▀▄█▀  █ █ █▀█
 █▀█ █ █ ▐▌▐██▐█▄ ▓██▐█▌██░   ░▌   ▄▀▐ ░ ▌▀▄   ▐░   ░██▐█▌██▓ ▄█▌██▌▐▌ █ █ █▀█
  ▀█ ▀████ ██▀████▐████▓▀   ▄▀▀▀▄ ▄▄▓▐ ░ ▌▓▄▄ ▄▀▀▀▄   ▀▓████▌████▀██ ████▀ █▀
   ▀█▄  ▀▀▀████▓▀▄█▓▀▀     ▐▌ ▀▓ ▌▀▀▀▀▄▀▄▀▀▀▀▐ ▓▀ ▐▌     ▀▀▓█▄▀▓████▀▀▀  ▄█▀
      ▀ ▄▄    ▀▀▀▀▀▀▀   ▄▌  ▀▄▄▄▀ ▀▀▀▄ ▀ ▄▀▀▀ ▀▄▄▄▀  ▐▄   ▀████▀▀ ▄▄ ▄▄ ▀
          ▀▀█▄▄▄▄▄▄▄▄▄████▄    ▄  ██▌▐ █ ▌▐██  ▄    ▄████▄▀        ▀▄▄
                ▀▀▀▀▀▀▀▀██▓▓░░  ▄  ▀ ▐ ▓ ▌ ▀  ▄  ░░▓▓██▀▀▄ H7/BREAK ▄▀
                         ▄▀ ▄ ▀▄  ▓ ▄▐ ▒ ▌▄ ▓  ▄▀ ▄ ▀▄    ▀▐▄    ▄▌▀
                        ▐▌ ▌ ▐ ▐▌ ░  ▐ ░ ▌  ░ ▐▌ ▌ ▐ ▐▌
                         ▀▄ ▀ ▄▀▄▄   █ ░ █   ▄▄▀▄ ▀ ▄▀
                           ▀▀▀ █  █  █ ░ █  █  █ ▀▀▀
                                ▀▀  ▐▐ ░ ▌▌  ▀▀
                                    █▐ ░ ▌█
                                   ▀▄▐ ░ ▌▄▀
                                     ▐ ▒ ▌
                                     ▐ ▓ ▌
                                    ▄▀ ■ ▀▄
                                   ▐▌ ■░■ ▐▌
                                    ▀▄ ▀ ▄▀
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