Sold by: Jepsen
Deployed on AWS
AWS Free Tier
Analyze the safety properties of distributed systems
Overview
A Jepsen node for testing a distributed system. Based on Debian Bookworm, plus Jepsen, and dependencies for visualizations pre-installed. Suitable for use either as a control node or a DB node.
Highlights
- Dependencies, networking, and credentials ready to go
- With a single image, run Jepsen tests in a virtual cluster of LXC containers
- With CloudFormation, run Jepsen tests across a cluster of EC2 nodes
Details
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Delivery method
Delivery option
Full Cluster
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Debian Bookworm
Deployed on AWS
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Pricing
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.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $1.00 |
t3.micro | $1.00 |
t2.micro | $1.00 |
c5n.4xlarge | $1.00 |
c6a.24xlarge | $1.00 |
m6a.large | $1.00 |
x1e.xlarge | $1.00 |
t2.medium | $1.00 |
u7i-6tb.112xlarge | $1.00 |
c7i-flex.16xlarge | $1.00 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Additional details
Usage instructions
Log in via SSH using your configured keypair and the username admin. See ~/README for directions.
Resources
Vendor resources
Support
Vendor support
Please allow 48 hours
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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Distributed System Testing Framework
Jepsen testing framework for analyzing safety properties of distributed systems
Container-Based Test Execution
Ability to run Jepsen tests in a virtual cluster of LXC containers from a single image
Cloud Infrastructure Integration
Support for running Jepsen tests across a cluster of EC2 nodes using CloudFormation
Pre-configured Environment
Pre-installed dependencies, networking configuration, and credentials for immediate test execution
Visualization Capabilities
Pre-installed dependencies for generating visualizations of test results and system behavior
Concurrent Query Simulation
Ability to stress inference server with concurrent queries to test application performance at scale
Resource Utilization Monitoring
Analysis of server resource utilization metrics including GPU utilization, GPU memory, CPU utilization, and CPU memory
Custom Data Input
Support for ingesting custom large data through JSON-based data URLs for testing purposes
Multi-GPU Support
Capability to test against multiple GPU configurations
Data Analysis
Determination and analysis of large datasets for inference testing scenarios
SQL Query Engine
SQL engine for querying and analyzing streaming data within Apache Kafka and Amazon MSK environments
Data Governance
Granular controls and mechanisms for managing data access, compliance, and data lifecycle across Kafka clusters
Identity and Access Management
Granular IAM controls enabling role-based access and self-service permissions for engineers
Kubernetes Compatibility
Native support and readiness for deployment and operation within Kubernetes environments
Multi-Interface Operations
Multiple operational interfaces including UI, CLI, and as-code functionality for managing Kafka clusters
Standard contract
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