Comprehensive コードとしてのインフラ Tools for Every Need

Get access to コードとしてのインフラ solutions that address multiple requirements. One-stop resources for streamlined workflows.

コードとしてのインフラ

  • Terraform module to automate provisioning of cloud AI agent infrastructure including serverless compute, API endpoints, and security.
    0
    0
    What is AI Agent Terraform Module?
    The AI Agent Terraform Module provides a reusable Terraform configuration that automates the end-to-end provisioning of an AI agent backend. It creates an AWS VPC, IAM roles with least-privilege policies, Lambda functions wired to OpenAI or custom model APIs, API Gateway REST interfaces, and optional Step Functions for workflow orchestration. Users can customize environment variables, scale settings, logging, and monitoring. The module abstracts complex cloud setup into simple inputs, enabling rapid, consistent, and secure deployment of conversational AI agents, task automations, or data processing bots in minutes.
  • An AI-powered DevOps assistant that automates cloud infrastructure tasks and generates Terraform code via chat interface.
    0
    0
    What is Ceylon AI?
    Ceylon AI leverages large language models to translate your infrastructure needs into executable code and API calls. Simply describe the environment or service you want in plain English, and Ceylon AI crafts Terraform scripts or invokes cloud provider APIs directly. It supports AWS, Azure, GCP, Kubernetes, and more. Built-in drift detection alerts you when live infrastructure diverges from your declared state. Cost estimation, security scans, audit logs, and policy enforcement ensure your environments remain compliant, optimized, and reliable throughout their lifecycle.
  • An AI-powered DevOps assistant automating CI/CD workflows, log analysis, configuration generation, and infrastructure troubleshooting via natural language.
    0
    0
    What is Semantic DevOps Bot?
    Semantic DevOps Bot functions as a conversational interface for DevOps operations. Leveraging GPT-based models, it maps user prompts into actionable commands across cloud platforms and infrastructure tools. Users can request log extraction from servers or pods, generate YAML manifests for Kubernetes deployments, create or modify GitHub Actions workflows, and automate rollback or scaling procedures. The agent supports interactive diagnostics by analyzing error messages, suggesting fixes, and running validation scripts. It also integrates with AWS and Azure APIs to manage resources, monitor metrics, and enforce compliance policies. By abstracting complex CLI commands and API calls behind natural language, it accelerates incident response and reduces configuration errors, empowering teams to maintain robust, scalable environments with less manual effort.
Featured