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In this AWS ElasticSearch tutorial you will learn all what you need about Amazon Elasticsearch, how to use elasticsearch, basic elasticsearch commands and more. What is Elasticsearch Elasticsearch is a free open-source analytic and search engine which can be used for searching our own logs, monitoring them and more. What is AWS Elasticsearch / AWS ES AWS Elasticsearch is a service which makes it easy to deploy and use Elasticsearch in the cloud, by using it in AWS it will be easier to cluster and scale, it can be used also for monitoring your nodes and have multiple configuration. After creating your AWS ES you will have the options to uploaded your data files to be analyzed and indexed by AWS ES. The AWS ES upload can be done using: Index or Bulk API using coding options to accomplish this. (index details , bulk details) Loading bulk using logstash. (For details check here) Stream CloudWatch logs to AWS Elasticsearch. (Documentation) Use third party plugins, which some will give you options to bulk copy, streaming or load from AWS S3. (Ex.: Amazon S3 River plugin for ES) Using CURL And everyday more solutions are coming...... How to create AWS Elasticsearch First you need to create a cluster in the AWS Cloud and that will be your Elasticsearch domain, as any of the other AWS similar services you will be able to choose the number of instances in this domain and their hardware type, for creating your Elasticsearch you can use AWS CLI, AWS SDK or the ES console. What are the steps of creating your first AWS Elasticsearch? You create the domain from AWS ES console. Configure and attach the policy you will use. Configure and/or upload the files/data will be analyzed by AWS Elasticsearch Now you can use your AWS ES domain for searching and analyzing the uploaded data Above video tutorial showing how to create and use AWS Elasticsearch as a quick start Elasticsearch Basic Commands: https://goo.gl/04rGBA AWS Elasticsearch vs CloudSearch: https://goo.gl/zfVOU6 Elasticsearch is an open-source search engine which can be installed manually on your node or you can create a domain on the cloud by using AWS Elasticsearch, below are basic Elasticsearch commands which you can run from any Linux server which has an open access to the Elasticsearch node: #1 Check your Elasticsearch cluster health: (replace below bold/colored Elasticsearch node with your AWS node or localhost if you are running it from your direct installed instance) _cat/health?v -- This parameter which used to inquiry the health of the node. curl 'search-dotsways-fwtnmygdotwtsy2wvmumradkqa.us-east-1.es.amazonaws.com/_cat/health?v' Sample output: epoch timestamp cluster status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent 1492895570 14:12:50 513643930529:dotsways green 2 2 42 21 0 0 0 0 -- 100.0% #2 List AWS Elasticsearch nodes _cat/nodes?v -- Is used to list the Elasticsearch nodes curl 'replace-with-your-node-name/_cat/nodes?v' Sample output: ip heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name x.x.x.x 14 98 2 0.03 0.10 0.13 mdi -- bcqocrw x.x.x.x 14 97 2 0.06 0.11 0.11 mdi * WDBCOid #3 Create new index /usersz/external/1 -- Usersz is the name of the new index we want to create. ?pretty -- Is used to have a clean output in separate likes. Then i am passing a JSON format which has a name of dotsway and a type of website. curl -XPUT 'replace-with-your-node-name/usersz/external/1?pretty' -d '{ "name": "Dotsway", "type":"website" }' Sample output: { "_index" : "usersz", "_type" : "external", "_id" : "1", "_version" : 1, "result" : "created", "_shards" : { "total" : 2, "successful" : 1, "failed" : 0 }, "created" : true } #4 List indices /_cat/indices?v -- Is used to list the Elasticsearch indices curl 'replace-with-your-node-name/_cat/indices?v' Sample output: health status index uuid pri rep docs.count docs.deleted store.size pri.store.size green open example exXUF8zyR1WLMEAY5Lw5SA 5 1 0 0 1.2kb 650b green open usersz -xrwTiJMQGSRsOJY98V8Hg 5 1 1 0 7.7kb 3.8kb green open .kibana _dUmh9oJTA2comS1Jjxg-g 1 1 1 0 6.3kb 3.1kb green open customer yHPoC0-rRaKeHtHKi18OQQ 5 1 1 0 7.7kb 3.8kb green open example2 Nh62hsm3TwC3qWDMZJHlvw 5 1 0 0 1.2kb 650b #5 Retrieving: curl -XGET 'replace-with-your-node-name/customer/external/1?pretty' 7. Delete an index: curl -XDELETE 'replace-with-your-node-name/customer?pretty' Those are the basic AWS Elasticsearch commands which can get you started and test the service.