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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.
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Introduction
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”.
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resource "aws_osis_pipeline" "my-data-ingestion-pipeline" { pipeline_name = "example" pipeline_configuration_body = file("example.yaml") max_units = 1 min_units = 1 } |
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:
- OpenSearch Ingestion OCUs based on data volume and processing needs. Prices start at $0.004 per OCU hour (https://aws.amazon.com/opensearch-service/pricing/)
- Storage costs for the ingested data in your OpenSearch Service domain (https://aws.amazon.com/opensearch-service/pricing/)
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.
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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.
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