Marketplace For Buyers For Vendors For Partners

Valdras Gate - Secure VPN Gateway

Enterprise-ready OpenVPN server that deploys in minutes with automated user management and email delivery of VPN profiles via AWS SES. No per-user fees, unlimited users.

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

Valdras Gate is a production-ready OpenVPN AMI that removes the usual hassle of setting up and running a VPN. You can launch a secure server in minutes, with built-in user management, automated email delivery of VPN profiles, and strong security out of the box. There are no per-user fees and no complicated setup. Just start the AMI and begin adding users with simple CLI commands.

The server is fully configured on first boot. It creates client certificates and VPN profiles automatically, then sends them to users through AWS SES. You can add or remove users with a single command, track certificate expiration, and control who can reach your private AWS resources.

Valdras Gate supports both split-tunnel and full-tunnel modes, handles unlimited users without extra charges, and manages certificates automatically. You only pay for the EC2 instance itself-no subscriptions, no per-user pricing, and no lock-in. It gives you secure remote access in minutes while removing the ongoing overhead of running a VPN service.

OpenVPN® is a registered trademark of OpenVPN, Inc. and neither 0x4447™ nor its product is affiliated with or endorsed by OpenVPN, Inc.

Related Products

Sedai for ECS: Autonomous Optimization & Remediation

Sedai for ECS is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to reduce costs by 40%, improve performance by 35%, reduce FCIs by 50% and improve ops productivity 6x

AI based Intelligent Document Processing

Our product is an advanced artificial intelligence solution designed to streamline document processing workflows for businesses of all sizes. Leveraging cutting-edge machine learning algorithms, it automates the extraction, analysis, and interpretation of valuable information from a variety of documents, including invoices, contracts, forms, and more. With this powerful tool, businesses can significantly reduce manual effort, minimize errors, and accelerate decision-making processes.

Automated SAS to Pyspark Conversion

SAS workloads come with high costs, scalability challenges, and limited flexibility. Hexaware’s Amaze® accelerates SAS-to-PySpark migration using Gen AI and LLM-powered automation, ensuring a 70-80% conversion accuracy, 3x-5x faster execution, and up to 40% cost savings.

Vectra Cognito for Service Delivery Partners (Billed Monthly)

Vectra Threat Detection and Response for Partner Provided Consulting Engagements

Real-time & Historical Datafeeds | Global Post-War Contemporary Auctions

This dataset is prepared for statistical factor pricing models and standardized across variables including country, region, currency, vendor, artist for seamless data filtering. It contains 20+ years of all items in the Post-War & Contemporary art category sold on auction by Christie’s, Sotheby’s, Bonhams and Phillips from 2000 to date.

Philter

Philter deidentifies and redacts sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), in text.

Heiliger Software Engineering ProServ

Enterprise grade software engineering professional services focused on application modernization, DevOps, automation, QA and scalable digital solutions. Heiliger delivers structured execution models that accelerate innovation and operational efficiency across complex environments including AWS infrastructure.

Tuberculosis - Total number of cases in the US | CDC

Centers for Disease Control and Prevention provides free and open access to various health related data. This release contains total number of Tuberculosis cases reported in the United States, by region and by states, in accordance with the current method of displaying WONDER data. Data on United States will exclude counts from US territories. The data is available for past 2 years.