EXCEEDS logo
Exceeds
Neha Konjeti

PROFILE

Neha Konjeti

Neha Konjeti developed a new Terraform provider resource for the DataDog/terraform-provider-datadog repository, enabling users to manage Datadog Compliance Custom Frameworks through Infrastructure as Code. She implemented full lifecycle support for these frameworks, allowing creation, updating, and deletion via Terraform, and incorporated schema validation to ensure data integrity. Using Go and HCL, Neha wrote automated tests to verify the resource’s correctness and reliability. Her work expanded API integration capabilities and streamlined compliance management, reducing manual configuration across environments. The solution improved reproducibility and deployment consistency, reflecting a focused approach to infrastructure automation and Terraform provider development within a short timeframe.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
4,323
Activity Months1

Work History

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025: Delivered a new Terraform provider resource to manage Datadog Compliance Custom Frameworks, enabling create/update/delete of frameworks via Terraform with schema validation and tests. This adds IaC support for compliance frameworks, improving reproducibility and reducing manual steps across environments.

Activity

Loading activity data...

Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

GoHCL

Technical Skills

API IntegrationGo ProgrammingInfrastructure as CodeTerraform Provider Development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

DataDog/terraform-provider-datadog

May 2025 May 2025
1 Month active

Languages Used

GoHCL

Technical Skills

API IntegrationGo ProgrammingInfrastructure as CodeTerraform Provider Development

Generated by Exceeds AIThis report is designed for sharing and indexing