Overview
A stateless container that analyzes application and infrastructure logs via a REST API. Default mode performs no outbound calls. Optional inference backends can be enabled via environment variables. Designed for DevOps, SRE, and security teams.
Highlights
- Secure AI-Powered Log Intelligence
Details
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Financing for AWS Marketplace purchases
Pricing
- Monthly subscription
- $700.00/month
Vendor refund policy
Contact for Refund : info@masirosoftwarecloud.com
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Delivery details
AI Log Agent – Container Deployment
- Amazon EKS
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
This is the first public release of AI Log Agent, an intelligent containerized log analysis solution designed for cloud, security, and DevOps workloads. Key Features AI-powered log parsing and pattern detection Centralized analysis of application, system, and security logs Designed for container-based environments (Docker, ECS, EKS) No hardcoded credentials or default secrets included Marketplace-compliant container image hosted on Amazon ECR Security & Compliance No SSH keys, passwords, or sensitive data included in the image Runs as a non-privileged container process Network access restricted to runtime configuration only Fully compatible with AWS Marketplace container product policies Deployment Delivered as a container image via Amazon ECR Supports ECS, EKS, and self-managed Kubernetes environments Configuration provided at runtime via environment variables Known Limitations This version focuses on log analysis only (no alerting or auto-remediation) External LLM or data sources must be provided by the customer if required
Additional details
Usage instructions
Product: AI Log Agent (Container) Version: 1.0.0 Container image (ECR): 709825985650.dkr.ecr.us-east-1.amazonaws.com/masiro-software-cloud/ai-log-agent:1.0.0
- What this container does AI Log Agent exposes an HTTP API for log analysis:
- GET /health (health check)
- POST /v1/analyze (analyze logs, JSON)
Default safe mode: LLM_PROVIDER=none. In this mode the service does not make outbound LLM calls.
- Prerequisites
- Active AWS Marketplace subscription
- Amazon ECS or Amazon EKS (Docker optional for testing)
- Permission to pull from ECR
- Network access to port 8080
- Quick test (Docker) Login to ECR: aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 709825985650.dkr.ecr.us-east-1.amazonaws.com
Pull and run: docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/masiro-software-cloud/ai-log-agent:1.0.0 docker run --rm -p 8080:8080 -e LLM_PROVIDER=none -e MASK_SECRETS=true -e MAX_CHARS=120000 709825985650.dkr.ecr.us-east-1.amazonaws.com/masiro-software-cloud/ai-log-agent:1.0.0
Verify: curl http://127.0.0.1:8080/health
Analyze example: curl -s http://127.0.0.1:8080/v1/analyze -H "Content-Type: application/json" -d "{"source":"nginx","logs":["ERROR failed login user=admin ip=1.2.3.4"],"context":{"env":"prod"}}"
- Configuration (environment variables)
- LLM_PROVIDER (default: none)
- MASK_SECRETS (default: true)
- MAX_CHARS (default: 120000) Container listens on 8080/TCP.
- Deploy on ECS (high level)
- Use the image URI above in the task definition.
- Expose container port 8080 (internal LB recommended if needed).
- Set environment variables in the task definition.
- Validate /health and /v1/analyze.
- Deploy on EKS (high level)
- Create a Deployment using the image URI.
- Expose port 8080 via Service/Ingress.
- Set environment variables in the Pod spec.
- Validate /health and /v1/analyze.
- Troubleshooting
- ECR 403: confirm Marketplace subscription and correct region/registry.
- Health fails: confirm port 8080 exposure and SG/NACL/policies.
- Payload too large: reduce logs or increase MAX_CHARS cautiously.
- Support Support page: https://masirosoftwarecloud.com/contact Email: info@masirosoftwarecloud.com
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Vendor support
Community and documentation-based support. Support is provided via documentation and best-effort email communication. No SLA is guaranteed.
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