Products

Pre-configured, customizable, secure, one-click to deploy Java application with Tomcat on AWS. The Apache Tomcat® software is an open source implementation of the Java Servlet, JavaServer Pages, Java Expression Language and Java WebSocket technologies

Drupal 9.1.0 on Windows Server 2019. Cognosys is providing this image as pre hardened and pre-configured for enterprise use.

Amazon ECS-Optimized Amazon Linux 2 AMI (ARM)with Support by Bansir manages containers and enables developers to run applications in the cloud without having to set up an environment for code to run. Helps deploy, manage, and scale containerized applications.

This Minimal Rocky Linux 8 server is designed to be light-weight and up to date on deployment for ease of use, security, and stability.

This Minimal Alma Linux 8 server is designed to be light-weight and up to date on deployment for ease of use, security, and stability.

This is a minimal RedHat Enterprise Linux RHEL 8 ARM image, mainly used as a common base system on top of which other appliances could be built and tested. It contains just enough packages to run within AWS, bring up a SSH Server and allow users to login. Cloud-init, as well as the security updates available at the release date are included.

This is a Image Classification model from TensorFlow Hub

The latest version of Node.JS on Cent OS Server. JavaScript runtime built on Chromes V8 JavaScript engine. Build Scalable applications on AWS.

Apache Web Server comes pre-installed with the full LAMP stack (Apache Web Server, PHP, MySQL, PHPMyadmin) on CentOS Server.

NGINX designed to integrate into the Apache HTTP Server or the NGINX web server, but also has a mode for running standalone without an external web server.

It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and then fine-tuning th

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

SFTPGo allows to securely share your files over SFTP and optionally FTP/S and WebDAV too.Several storage backends are supported and they are configurable per user, so you can serve a local directory for a user and an S3 bucket (or part of it) for another one.SFTPGo also supports virtual folders, a virtual folder can use any of the supported storage backends. So you can have, for example, an S3 user that exposes a GCS bucket (or part of it) on a specified path and an encrypted local filesystem on

OpenJDK 11 (Java 11 on CentOS 8 is a pre-configured Amazon Machine Image (AMI) that combines the robust features of OpenJDK 11 with the stability of CentOS 8. This AMI provides a ready-to-use environment for developers and enterprises to deploy and run Java applications efficiently on AWS infrastructure. By integrating OpenJDK 11, the open-source implementation of the Java Platform, Standard Edition, with CentOS 8, a widely-used Linux distribution, this solution ensures compatibility, security,

WordPress 4 on LEMP 5 is a pre-configured Amazon Machine Image (AMI) designed to streamline the deployment of WordPress websites on AWS. This solution integrates WordPress 4 with a LEMP stack—comprising Linux, NGINX, MySQL, and PHP—offering a robust and efficient environment for hosting dynamic web applications. Key Features and Functionality: - Pre-Installed Software: The AMI includes WordPress 4, NGINX, MySQL, and PHP, all configured for immediate use. - Optimized Performance: Utilizes NGIN

Terraform on Windows Server 2019 is a pre-configured Amazon Machine Image (AMI) that combines HashiCorp's Terraform with Microsoft's Windows Server 2019. This solution enables users to automate the provisioning and management of cloud infrastructure using Terraform's Infrastructure as Code (IaC capabilities within a familiar Windows environment. Key Features and Functionality: - Pre-Installed Terraform: The AMI comes with Terraform pre-installed, allowing immediate use without additional setup

Playwright on Headless Ubuntu is a preconfigured Amazon Machine Image designed to facilitate seamless browser automation and testing. Hosted on Ubuntu 24.04 LTS, this environment is optimized for executing headless Playwright tests, enabling developers to automate interactions across multiple browser engines, including Chromium , Firefox, and WebKit . The AMI comes equipped with sample code snippets and preinstalled language bindings for Python, Node.js, and Java, providing a convenient starting

AccessView Cloud Edition (AV CE is a comprehensive solution designed to capture and analyze accounting and usage statistics from NewNet's STC payment transaction routing and transport application. It facilitates detailed transaction reporting and aggregates data for billing, statistical analysis, and search analytics. By providing users, service providers, and operators with insights into customer usage patterns and executive dashboards, AV CE enhances the understanding of overall payment traffi

Apache Cassandra is an open-source, distributed, wide-column store, NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple datacenters, with asynchronous masterless replication allowing low latency operations for all clients. This AMI could be used for setting up a single node Cassandra installation or used as a node for set

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub