If you are looking for career options in cloud computing, it becomes very important to learn about Amazon Web Service. AWS provides services like AWS Elasticsearch. It is a fully managed service which makes it easy to deploy and run Elasticsearch cost-effectively.
Before we learn about Amazon Elasticsearch Service, let us first understand what Elasticsearch means and how it is useful for your applications and website.
Definition of Elasticsearch:
It is an open source search and an analytics engine that manages all your work that is involved in setting up a domain. It takes unstructured data from different locations and indexes it according to user-specified mapping.
Everything about Elasticsearch:
- Elasticsearch is a full-text search engine which enables search functionality for applications including auto completion, correcting typos, highlighting matches, handling synonyms, and adjusting relevance, etc.
- All the Elasticsearch are easy to use and have APIs with completely managed service.
- Elasticsearch along with Application Performance Management (APM) helps to get more efficient code that leads to faster applications, speedier develop-fast-deploy loop, and better customer experiences.
- Elasticsearch is an open source analytics and is written in JAVA, which makes it easy to use and highly scalable.
- It is great at analyzing lots of data.
AWS Elasticsearch is an open-source database tool that is easy to operate and deploy. Through this, you can build, monitor, and troubleshoot your applications by using the tools you love at the scale you need.
AWS Elasticsearch service provides support for open source Elasticsearch APIs, integration with Logstash, managed Kibana and other AWS services.
As far as AWS Elasticsearch pricing is concerned, you have to pay only for what you use. That means, there is no upfront cost or usage requirements. (Source).
Advantages of AWS ELasticsearch Service:
- Easy to use: In AWS Elasticsearch, services are fully managed which makes it easy to use. It helps you to save your time for backup, software patching, failure recovery and application monitoring. By using AWS Elasticsearch, you can post the production-ready Elasticsearch within a few seconds.
- Highly secure: It is highly secure. You can easily set up secure access to Amazon Elasticsearch Service from VPC. The keys that you create and control through AWS KMS, encrypts data-at-rest and in-transit. It also helps to manage authentication and access control with Amazon Cognito and AWS IAM policies.
- Cost-effective: It is one of the biggest advantages of AWS Elasticsearch. You need to pay only for what you have consumed. There will be no extra charges, usage requirements or up-front costs. It is a fully managed service, therefore it lowers the total cost by eliminating Elasticsearch expert’s team to manage the clusters.
- Support open source APIs: It means that it provides direct access to open source API without requiring any new programming or software skills. AWS Elasticsearch supports Logstash and Kibana, which is a data visualization tool.
- Easily scalable and available: You can store up to 3 PB data in a single cluster. Also, you can run the large log analytics workloads through Kibana and other user interfaces.
Multi A-Z deployments allows you to replicate data between three availability zones in the same region, which makes Elasticsearch highly available.
Limitations of AWS Elasticsearch Service:
Along with the advantages, there are also few limitations of AWS Elasticsearch.
- AWS Elasticsearch users can either launch their domain within a VPC or they can use a public endpoint. They cannot perform the two actions together.
- AWS free tier Elasticsearch is for 12 months but after 12 months of signup, you will have to pay for it. (Source)
AWS Elasticsearch Tutorial:
To start AWS Elasticsearch, follow these steps:
Signup for AWS account:
- To create a new account in AWS, click on Create an AWS Account button at the top right corner.
- After that, provide all the information and then click on the Continue button.
- Provide your contact information and check the box to agree with all the terms and conditions. After that click on the Create Account and Continue button.
- Choose the account type- personal or professional, as per your need. By default it creates a professional account. Fill all your card details for payment.
Create an Amazon ES Domain:
- Define your Domain: Login to your AWS account and click on ‘Elasticsearch Service’ on the ‘Analytics’ section. After that click on the ‘Create a new domain’ button and Choose ‘Development and Testing’. Select the Elasticsearch version and your preferred Deployment type.
- Configure your Domain: Enter the domain name and choose default value for ‘Data nodes storage and 1 in ‘Number of Instance’. Ignore the other fields and click on the ‘Next’ button.
- Setup access policy: Select the public access domain and restrict access to a VPC or IAM role. Select a template for ‘Set the domain access policy’ and choose ‘Allow open access to the domain’.
- Review: Double check your configuration and choose ‘Confirm’.
Uploading data for indexing:
Searching document in Amazon ES domain:
Delete an Amazon ES domain:
- Sign in to your Amazon Elasticsearch Service console
- Select books domain under ‘My domains’ in the navigation page
- Select ‘Action’ and then ‘Delete domain’
- Check the Delete domain checkbox and choose ‘Delete’. (Source)
An Amazon ES domain is equal to Elasticsearch cluster. After you have created your AWS account, you can start creating an Amazon Elasticsearch domain. To create the domain, follow these steps:
Using the programming language or command-line interface, upload the data to Amazon ES Service domain.
You can search the document in AWS Elasticsearch service domain by Elasticsearch Search APIs or Kibana.
We created an Amazon ES domain named book for test purposes in step 2. Now, it’s time to delete it. To delete an Amazon ES domain, follow the steps mentioned below:
After learning about the Amazon Elasticsearch in detail, let us look at some of the questions that are asked in Interview for Elasticsearch. This will help you to build your career if you want to pursue in cloud computing.
AWS Elasticsearch Interview Questions:
What are the important features of Elasticsearch?
Features of Elasticsearch are:
- It has an open source server which is written using JAVA.
- AWS Elasticsearch create index of any kind of heterogeneous data
- It is a full-text search engine
- It has multi-language and Geolocation support.
Explain AWS Elasticsearch node.
An instance in Elasticsearch is the node. When you start an instance, you start a node. There are different types of nodes including data nodes, master nodes, client nodes, and ingest nodes.
- AWS Elasticsearch Data nodes- It holds data and performs operations such as search, CRUD (Create/Read/Update/Delete), and aggregations on data.
- AWS Elasticsearch Master nodes- It helps to configure and manage to add and remove nodes across the clusters.
- AWS Elasticsearch Client node: The role of client node is to send data-related requests to data nodes and cluster requests to the master nodes.
- AWS Elasticsearch Ingest node: They are for pre-processing documents before indexing.
Give the step-by-step procedure to start an Elasticsearch server.
From the command line, you can start the server.
To start an Elasticsearch server, follow the steps given below:
- Firstly, search for command or cmd in the Windows Start menu and press ENTER to open it.
- After It has been installed, a directory will be created. You need to change the directory of the Elasticsearch folder.
- Type /Elasticsearch.bat and then press on ENTER key to start the server.
- After that, Elasticsearch will start in the background on command prompt.
What is Elasticsearch AWS?
AWS Elasticsearch is an open-source database tool. It is easy to operate and deploy. Through this, you can build, monitor, and troubleshoot your applications by using the tools you love at the scale you need. It provides support for open source Elasticsearch APIs, integration with Logstash, managed Kibana and other AWS services.
How to add storage space to an Amazon Elasticsearch Service domain?
This storage space issue in Amazon Elasticsearch can happen due to ClusterBlockException error. To resolve this issue, follow these steps:
- You can increase the size of the domain’s Amazon Elastic Block Store volumes. In the Amazon ES domain, you can also add more cluster nodes.
- You can reduce the amount of data stored in your domain and delete unnecessary files and optimize old indices.
What is AWS Elasticsearch used for?
AWS Elastic search is used in the following cases:
- Search: AWS Elasticsearch provides a fast and personalized search experience for your applications, data lake catalogs, websites. It helps your users to find relevant data. It helps you to get access to all of Elasticsearch APIs and supports natural language search, faceted search, location-aware search and auto-completion.
- Application Monitoring: It improves application performance by storing, and analyzing data to find and fix the issue. If your application is under-performing, you will get the alerts and enable you to address any issue that you are facing.
- Infrastructure monitoring: It collects metrics and logs from your server, switches, routers, that helps you get a comprehensive visibility into your infrastructure. This feature is good for a gaming company because it can help them monitor and analyze server logs to further identify any server performance issues.
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AWS Elasticsearch FAQs:
They are Elasticserach clusters which are created using the Amazon Elasticsearch Service console or API. Elasticsearch cluster with the storage and compute is exactly how we can define the Amazon Elasticsearch Service domain. You can delete or create domains, control access and security, and define infrastructure attributes. You can also run more than one Amazon Elasticsearch Service domain.
To set up Elasticsearch on AWS, follow these steps:
- Signup for AWS account
- Create an Amazon ES domain
- Upload data for indexing
- Search documents in Amazon ES domain
- Delete an Amazon ES domain
Yes, Amazon Elasticsearch service supports VPC. It is in fact integrated with VPC. When you choose VPC access, the IP addresses in your VPC gets attached to your Amazon Elasticsearch service domain. All the network stays within the AWS network and does not allow access to the Internet. You can also use security groups to restrict access to your Amazon Elasticsearch service domains.
You can scale your Amazon Elasticsearch Service domain by using console, CLI and API. You can scale it by adding, removing or modifying instances or storage volumes, depending on the needs of your application. Amazon Elasticsearch Service is integrated with Amazon CloudWatch which provides metrics of the state of your Amazon Elasticsearch Service domains that helps you to make appropriate scaling decisions for your domain.
Slow logs are the files that help you to track the performance of various stages in an operation. There are two kinds of slow logs in Elasticsearch:
Search slow log: These slow logs helps you to find out how slow or fast queries are performing.
Index slow log: These slow logs help you to know about the indexing process.
It manages all your work that is involved in setting up a domain. After your domain is running Amazon Elasticsearch Service performs common administrative tasks such as backup, application monitoring, and patching the software. Amazon Elasticsearch Service is integrated with Amazon CloudWatch which provides metrics of the state of your Amazon Elasticsearch Service domains that helps you to make appropriate scaling decisions for your domain. It also offers options to modify your domain instance and tailor your domain according to the needs of your application.