Deploy a private team collaboration server on AWS in minutes with Mattermost on Ubuntu 24.04. This ready to use AMI includes PostgreSQL backed messaging, file sharing, search, and support for developer and IT workflows. Ideal for organizations that want a self hosted alternative to Slack with full control of data and infrastructure. This product has charges associated with it for the provision and deployment of the application and AMI support.
Mattermost Team Collaboration Server by Code Creator provides a fast way to launch a self hosted collaboration platform on AWS. Built on Ubuntu 24.04 and backed by PostgreSQL, this AMI is designed for private team messaging, file sharing, search, and secure internal communication.
Mattermost is well suited for software teams, IT departments, operations groups, and organizations that want more control over privacy, infrastructure, and customization than typical hosted chat platforms allow.
This AWS Marketplace AMI helps reduce setup time by providing a ready to launch server that can be reached from the instance public IP address for initial browser based setup. It is a strong fit for teams looking for an open source collaboration platform that supports real time communication and internal productivity workflows.
This is a repackaged open source software product wherein additional charges are applied for the deployment of the application and AMI support and compliance.
Highlights
Launch a private team collaboration server on AWS in minutes with Mattermost on Ubuntu 24.04
Includes browser based setup, PostgreSQL backed messaging, file sharing, and search for internal team communication
Ideal for organizations that want a self hosted Slack alternative with more control over data, infrastructure, and deployment flexibility
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
You pay by the hour for a pre-built Mattermost collaboration server running on AWS. Pricing is not tiered by features. Instead, you choose the EC2 instance type that hosts the software, and each instance type carries its own hourly rate. Your cost scales with the compute size you pick. Smaller instances like t3.micro and t2.nano suit light use, while sizes such as x1e.32xlarge, u-24tb1.metal, and p4d.24xlarge fit heavier workloads. The software runs the same across all options; only the underlying compute capacity and its hourly rate change.
Top-of-mind questions for buyers
What exactly does one hourly charge cover for a given instance type?
One hour covers the software running on a single EC2 instance of that type. The rate reflects the compute capacity of the instance you select. You pay for each hour the instance runs, counted per instance. Running two instances of the same type doubles the hourly software charge.
Am I charged the hourly rate when the instance is stopped?
The software charge meters running time only. A fully stopped instance does not accrue the hourly software fee. Underlying AWS resources, such as attached storage, may still incur separate AWS charges while the instance is stopped. Charges resume when you start the instance again.
Can I move to a larger or smaller instance type later?
Yes. Since pricing is tied to the EC2 instance type, you can switch to another type and your hourly rate changes to match the new instance. The software runs the same across all instance types; only the compute capacity and hourly rate differ.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
This product has charges associated with it for seller support. Mattermost is an open-source, self-hosted collaboration and messaging platform designed for team communication. It offers real-time chat, file sharing, and integrations with various tools, providing a secure alternative to proprietary messaging systems. Mattermost supports both web and mobile applications, enabling seamless collaboration across different devices and operating systems. Its flexibility and extensive customization options make it suitable for enterprises seeking robust communication solutions with a focus on privacy and control.
This product has charges associated with it for Websoft9 support. Pre-configured, web-based, cloud-native, secure, one-click to deploy Mattermost Team Edition with Websoft9 Applications Hosting Platform on AWS. Mattermost is a self-hosted Slack-alternative, flexible, messaging platform, used for Chat Project and Task.
This product has charges associated with it for seller support. Experience the power of open-source collaboration with Mattermost, fully optimized and supported by Meetrix.io.
This product has charges associated with it for seller support. Its strong focus on security, privacy, and data control enables organizations to deploy and manage the platform within their own infrastructure while maintaining full ownership of their data.
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