AWS, Cloud Computing, DevOps

3 Mins Read

Automate Amazon OpenSearch Ingestion with Terraform

Voiced by Amazon Polly

Overview

Streamline your data pipeline management with Terraform’s Infrastructure as Code (IaC) capabilities for Amazon OpenSearch Ingestion. This exciting update empowers you to automate, secure, and simplify the provisioning and configuration of your data ingestion pipelines.

Pioneers in Cloud Consulting & Migration Services

  • Reduced infrastructural costs
  • Accelerated application deployment
Get Started

Introduction

Amazon OpenSearch Ingestion is a fully managed service that simplifies the collection and processing of real-time data at the petabyte scale. It seamlessly integrates with Amazon OpenSearch Service, allowing you to ingest and prepare data before feeding it into your OpenSearch clusters.

Previously, setting up and configuring OpenSearch Ingestion pipelines involved manual processes. Terraform’s integration with OpenSearch Ingestion removes this complexity, enabling you to leverage IaC principles for efficient infrastructure management.

Before and After Terraform Support

Before this update, deploying OpenSearch Ingestion pipelines required manual configuration through the AWS Management Console or SDKs. This approach could be time-consuming, error-prone, and challenging to maintain for complex deployments.

With Terraform support, you can define your entire pipeline infrastructure in code. This code becomes your source of truth, ensuring consistent and repeatable deployments across environments. Terraform simplifies infrastructure changes by allowing you to version control your code and make modifications with ease.

Benefits of Terraform Integration

  • Automation and Efficiency: Automate the entire OpenSearch Ingestion pipeline lifecycle, from provisioning to configuration, drastically reducing manual effort.
  • Repeatability and Consistency: Define your infrastructure in code, guaranteeing consistent deployments across environments and eliminating configuration drift.
  • Version Control and Collaboration: Version control your Terraform code for easy rollbacks and collaboration within your team.
  • Security and Compliance: Manage infrastructure access permissions through Terraform Cloud or other IaC management tools, enhancing security posture.

Getting Started with Terraform Code Snippets

Here’s a glimpse of how you can leverage Terraform to define an OpenSearch Ingestion pipeline:

This code snippet defines a pipeline named “my-data-ingestion-pipeline”.

The following arguments are required:

  • pipeline_name (Required):A unique name for your OpenSearch Ingestion pipeline. These names cannot be reused within the same AWS Region for your account.
  • pipeline_configuration_body (Required):The configuration details for your pipeline are written in YAML format. You can provide this configuration as a string or reference a separate .yaml file. Remember to escape new lines with \n if using a string.
  • max_units (Required):The maximum processing power for your pipeline, specified in Ingestion Compute Units (ICUs).
  • min_units (Required):The minimum processing power required for your pipeline in Ingestion Compute Units (ICUs).

Use Cases for Terraform with OpenSearch Ingestion

  • Centralized Logging: Streamline log ingestion from various sources (e.g., CloudWatch, application logs) into your OpenSearch domain for centralized log analysis.
  • Real-time Analytics: Enable real-time data processing and analysis by feeding data streams through OpenSearch Ingestion pipelines.
  • Security Information and Event Management (SIEM): Build secure data pipelines for ingesting and enriching security data from diverse sources for threat detection and investigation.

Pricing: A Cost-Effective Approach

Terraform is an open-source tool, so no additional costs are associated with using it to manage your OpenSearch Ingestion pipelines. You only pay for the underlying AWS services in your Terraform configuration, such as OpenSearch Ingestion processing units (OCUs) and data storage in OpenSearch Service.

Here’s a simplified pricing example: Consider a pipeline that ingests 1GB of data daily with minimal processing requirements. You would be charged for:

Conclusion

Terraform’s integration with Amazon OpenSearch Ingestion empowers you to manage your data pipelines effectively. Leverage IaC principles to automate deployments, maintain consistency, and streamline infrastructure management for your data-driven applications.

Drop a query if you have any questions regarding Amazon OpenSearch Ingestion and we will get back to you quickly.

Making IT Networks Enterprise-ready – Cloud Management Services

  • Accelerated cloud migration
  • End-to-end view of the cloud environment
Get Started

About CloudThat

CloudThat is an award-winning company and the first in India to offer cloud training and consulting services worldwide. As a Microsoft Solutions Partner, AWS Advanced Tier Training Partner, and Google Cloud Platform Partner, CloudThat has empowered over 850,000 professionals through 600+ cloud certifications winning global recognition for its training excellence including 20 MCT Trainers in Microsoft’s Global Top 100 and an impressive 12 awards in the last 8 years. CloudThat specializes in Cloud Migration, Data Platforms, DevOps, IoT, and cutting-edge technologies like Gen AI & AI/ML. It has delivered over 500 consulting projects for 250+ organizations in 30+ countries as it continues to empower professionals and enterprises to thrive in the digital-first world.

FAQs

1. Do I need prior Terraform experience to use it with OpenSearch Ingestion?

ANS: – While familiarity with Terraform is beneficial, AWS provides resources and documentation to get you started. There are also online tutorials specifically focused on using Terraform with OpenSearch Ingestion.

2. In which regions can I deploy Amazon OpenSearch Ingestion pipelines using Terraform?

ANS: – You can deploy ingestion pipelines using Terraform in all 15 regions where Amazon OpenSearch Ingestion is currently available:

  • US East (Ohio)
  • US East (N. Virginia)
  • US West (Oregon)
  • US West (N. California)
  • Europe (Ireland)
  • Europe (London)
  • Europe (Frankfurt)
  • Asia Pacific (Tokyo)
  • Asia Pacific (Sydney)
  • Asia Pacific (Singapore)
  • Asia Pacific (Mumbai)
  • Asia Pacific (Seoul)
  • Canada (Central)
  • South America (Sao Paulo)
  • Europe (Stockholm)

WRITTEN BY Aishwarya Joshi

Aishwarya works as a Research Associate (AWS Media services) with CloudThat. She is an enthusiastic individual and a good team player. A positive attitude is her way of dealing with everything. She enjoys learning new technologies and exploring various ways of problem-solving. As of late, she has become proficient in cloud services and enjoys writing technical blogs.

Share

Comments

    Click to Comment

Get The Most Out Of Us

Our support doesn't end here. We have monthly newsletters, study guides, practice questions, and more to assist you in upgrading your cloud career. Subscribe to get them all!