Hi, devops fan. Welcome to the 2d part of articles devoted to the terraform network module. Here we are going to deal with routing and security groups. At 1st part we have finished at routing tables to the subnets. Let’s continue from that point. Lets open terraform/modules/network/routes.tf: # PRIVATE resource "aws_route_table"…

Hi, devops fans. Finally, finally we have finished with initial configuration preparations. Now we are ready to create something really useful. …

Hi, devops fans Before to start be sure that you have installed and configured next things: AWS account aws-cli — if you don’t have it — please follow official documentation to install it according to your’s operational system configure AWS profile — if you still don’t know what AWS profile…

Hi, I am glad to see you again. I propose to start the current article with the question: “What is OpenSearch”. Let’s visit at 1st the official AWS documentation: “Amazon OpenSearch Service is the successor to Amazon Elasticsearch Service and supports OpenSearch and legacy Elasticsearch OSS (up to 7.10, the…

Hi, devops fans. Here I am opening the series of articles devoted to the theme of how to deploy high available Elasticsearch cluster using AWS service, which is called OpenSearch, and terraform. According to AWS official documentation current service makes it easy to deploy, operate, and scale OpenSearch clusters in…

Are you interested in docker orchestration? Would you like to uncover deep insights and pitfalls of AWS? Do you want to see the real power of Terraform and Ansible at real commercial examples? Or maybe you are looking for materilas that will help you to arrange your devops theory knowledge…

At that article we will install elasticsearch head plugin and postman tool — that will allow us to work with elasticsearh in convenient way staying at lower level. We will also index several test documents and run first search queries upon it. To install chrome elasticsearch plugin — go to…

Elasticsearch is document oriented, meaning that it stores entire objects or documents. It is not only stores them, but also indexes the contents of each document in order to make them searchable. In Elasticsearch, you index, search, sort, and filter documents-​not rows of columnar data as we used to see…

Hi, at previous article we spoke about theory around analyzers and tokenizers. Now lets apply theory at practice. Lets assume that we already have elasticsearch index available at localhost:9200. Now lets create some test index using next mapping and settings : { "settings": {…