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    Relevance Lab - Agentic AI for SRE & Incidents

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    Deployed on AWS
    Jasper is an Enterprise Agentic AI platform for SRE and Incident Response that enables operations teams to investigate infrastructure, logs, alerts, and ITSM data using natural language. It integrates with AWS services and leading observability, ITSM, log analytics, and collaboration platforms to accelerate troubleshooting, root-cause analysis, and incident resolution through conversational AI

    Overview

    Relevance Lab Agentic AI for SRE and Incident Response enables Site Reliability Engineering, DevOps, Platform Engineering, and IT Operations teams to investigate infrastructure, logs, alerts, and ITSM data using natural language. Teams can ask operational questions in plain English and receive context aware responses within Microsoft Teams or Slack.

    The platform performs live investigation across AWS environments by correlating metrics, logs, alerts, and operational data to identify probable root causes and accelerate incident resolution. It supports secure cross account AWS access using IAM roles without requiring long lived credentials.

    Key capabilities include natural language operations, AI assisted root cause analysis, cross account AWS investigation, Microsoft Teams and Slack integration, extensible architecture with custom integrations, and secure credential management using IAM roles and AWS Systems Manager Parameter Store.

    The Marketplace AMI is delivered as a preconfigured Ubuntu 24.04 image with guided setup for AI model connectivity, AWS integrations, and collaboration platforms.

    Supported integrations include Amazon CloudWatch, Elastic Load Balancing, AWS WAF, AWS Systems Manager, observability platforms, log analytics tools, ITSM systems, alerting platforms, and collaboration tools.

    Launch the AMI, complete the guided configuration, connect your AWS accounts and AI provider, and start investigating production incidents using conversational AI.

    Highlights

    • Cross-Account AWS Investigation, No Stored Credentials. Relevance Lab's agentic AI queries multiple AWS accounts via IAM role assumption, delivering correlated answers in Teams or Slack instantly.
    • Ask one natural language question to correlate AWS, observability, ITSM, and security data for faster root cause identification.
    • Deploy using a preconfigured Ubuntu 24.04 AMI with guided setup. Extend capabilities with MCP integrations while using IAM roles and Parameter Store for secure access.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24

    Deployed on AWS
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    Features and programs

    Financing for AWS Marketplace purchases

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Relevance Lab - Agentic AI for SRE & Incidents

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Annual Enterprise License
    Annual software subscription license for one deployment. Includes all platform features and support. AWS infrastructure charges are billed separately.
    $12,000.00

    Vendor refund policy

    NA

    Custom pricing options

    Request a private offer to receive a custom quote.

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    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

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    Usage information

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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

    General Availability (GA) release of the Enterprise Agentic AI platform for SRE & Incident Response.

    This release includes:

    Natural language investigation of infrastructure, logs, alerts, and ITSM data AI-assisted troubleshooting and root-cause analysis Integrations with AWS services, observability, ITSM, and collaboration platforms Multi-account AWS investigation support Microsoft Teams and Slack integration Secure IAM role-based authentication with AWS Systems Manager Parameter Store Extensible Model Context Protocol (MCP) architecture for future integrations

    Additional details

    Usage instructions

    Getting Started

    1. Launch the AMI on an Amazon EC2 instance.
    2. Attach an IAM instance role with the required AWS permissions.
    3. Connect to the instance and run the guided setup to configure your AI model provider and integrations.
    4. Start investigating your infrastructure using natural language through the CLI, Microsoft Teams, or Slack.

    Example Questions

    • Why is my application returning HTTP 500 errors?
    • Show EC2 instances with high CPU utilization.
    • List open production incidents.
    • Show WAF blocked requests.
    • Summarize today's support tickets.

    Security

    • Uses EC2 IAM Instance Roles for AWS authentication.
    • No long-lived AWS access keys are required.
    • Configuration is securely stored in AWS Systems Manager Parameter Store.

    Documentation

    A comprehensive Setup Guide is included with the AMI and provides step-by-step instructions for deployment, configuration, AWS permissions, integrations, troubleshooting, and validation of the product.

    Resources

    Vendor resources

    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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