Sold by: Software Sushi
Deployed on AWS
Record experiment parameters, metrics and artifacts with an authenticated MLflow tracking server on Ubuntu 24.04.
Overview
Track machine learning experiments with the MLflow™ 3.17.2 tracking server packaged by Software Sushi for Ubuntu 24.04. Record parameters, compare metrics and keep artifacts on persistent local storage. The package includes separate tracking and authentication databases, generated per-instance credentials, an installed getting-started guide and a demo that independently verifies its saved artifact. The application is licensed under Apache License 2.0.
Launch t3.medium with at least 4 GiB RAM and 32 GiB encrypted gp3 root storage. Require IMDSv2 and keep inbound application ports closed. Connect with AWS Systems Manager Session Manager, wait for cloud-init to finish, and run sudo -iu ubuntu bash /opt/sushi/docs/demo.sh. Reach the authenticated browser interface on service port 5000 through a Session Manager port-forwarding session or an SSH tunnel. The instance guide explains how to locate the generated access credentials and verify saved results after a restart.
This is a CPU single-instance package for a small workload. It includes no high-availability configuration or model-provider subscription. Software Sushi provides AMI packaging and setup guidance. MLflow is a trademark of LF Projects, LLC. This independent offering does not imply sponsorship or endorsement by LF Projects, the upstream project or Amazon Web Services.
Software costs USD 0.03 per running instance-hour. EC2, EBS and data transfer are billed separately. Contact info@softwaresushi.com for installation questions. Upstream documentation: https://mlflow.org/docs/latest/ml/tracking/
Getting started: https://softwaresushi-marketplace-branding-public.s3.amazonaws.com/docs/mlflow/getting-started.html
Highlights
- Pinned MLflow experiment tracking with local parameters, metrics and artifact storage.
- Per-instance application credentials and loopback access through an authenticated tunnel.
- A bundled demo and separate readback command verify persisted results.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.03 |
Dimensions summary
This listing charges on a single usage-based dimension tied to the t3.medium EC2 instance size, billed per hour. You pay only for the hours the instance runs. There are no tiers or packaged plans to choose between — the software runs as a preconfigured machine image in your own AWS account. AWS infrastructure costs like EC2, storage, and data transfer are billed separately from this software charge. Any external model providers or services you connect also bill on their own terms.
Top-of-mind questions for buyers
The t3.medium is a general-purpose EC2 instance size with two virtual CPUs and moderate memory. The software runs as a preconfigured machine image on this instance in your own AWS account. You add your own credentials and model keys after launch.
The software fee meters only while the instance runs, billed per hour. A stopped or powered-off instance stops accruing software charges. You may still pay AWS for attached storage on a stopped instance, since that is billed separately by AWS.
AWS infrastructure such as EC2 compute, storage, and data transfer is billed separately by AWS. Any model providers, messaging platforms, or other external services you connect may also charge on their own terms. You supply and pay for those accounts yourself.
softwaresushi.com
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Vendor refund policy
We offer a full refund of software charges for the first 48 hours billing starts if the product does not perform as described. To request a refund, email info@softwaresushi.com with your EC2 instance ID and a description of the issue. AWS infrastructure costs (EC2, EBS, data transfer) are not eligible for refund by us.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
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.
Version release notes
Track experiment parameters, metrics and local artifacts with a pinned MLflow server on Ubuntu 24.04. Includes a loopback-only service, persistent local storage, a customer demo and independent readback. Recommended t3.medium with 4 GiB RAM and 32 GiB root storage.
Additional details
Usage instructions
Launch t3.medium with at least 4 GiB RAM and 32 GiB encrypted gp3 root storage. Require IMDSv2 and keep inbound application ports closed. Connect with AWS Systems Manager Session Manager, which initially uses ssm-user, wait for cloud-init to complete, then run sudo -iu ubuntu bash /opt/sushi/docs/demo.sh. The demo creates a synthetic experiment with alpha=0.25 and score=0.125, uploads a text artifact and independently retrieves its bytes and SHA-256. Results are grouped under ~/mlflow-results for readback after service restarts and reboots. Access the authenticated browser interface on service port 5000 through a Session Manager port-forwarding session or an SSH tunnel. First boot generates customer credentials in ~/.config/sushi/mlflow/access.json, readable only by ubuntu; open the file in the connected session editor and keep its contents out of shared logs. Tracking, authentication databases and artifacts persist on local storage. This CPU single-instance package does not execute uploaded models or pickles, and server job execution and custom scorers are disabled. Read https://softwaresushi-marketplace-branding-public.s3.amazonaws.com/docs/mlflow/getting-started.html and the installed /opt/sushi/docs/README.md for access, recovery and consistent backups. Software costs USD 0.03 per running instance-hour; EC2, EBS and data transfer are separate. Installation support: info@softwaresushi.com .
Resources
Vendor resources
Support
Vendor support
Software Sushi provides AMI packaging and setup guidance. Contact info@softwaresushi.com for installation questions. Support coverage requires a separate agreement; this offer does not include upstream project support.
AWS infrastructure support
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.
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