Revolutionize cloud management with AI.
15 min
- Terraform.ai accelerates IT operations and supports AIOps implementations with HashiCorp. - AIOps is essential for managing AI workloads and controlling cloud costs, with HashiCorp offering tools to minimize skills gaps and enhance efficiency. - The document outlines products and integrations that facilitate the adoption of AIOps, including automated architecture generation and resource management. - Overall, the focus is on leveraging infrastructure as code to improve cloud operations related to AI applications.
1. Cloud Operations Manager 2. AI/ML Engineer 3. DevOps Specialist
/w=3840,quality=90,fit=scale-down)
Terraform AI for Infrastructure Management
Accelerate your IT operations and support AIOps implementation with HashiCorp.
Challenges with AIOps
The rise in AI workloads is driving an expansion of cloud operations. Gartner predicts that cloud infrastructure, the underlying platform that powers AI applications, is expected to grow at a rate of 26.6% next year. In response to this substantial growth, platform teams are increasingly adopting infrastructure as code (IaC) to enhance efficiency and embracing AIOps implementations to help address skills gaps.
The ability to control cloud costs is now a top challenge for enterprises running AI infrastructure. HashiCorp underpins some of the largest AI workloads on the market, helping enterprises increase ROI by controlling cloud costs through infrastructure as code, eliminating idle resources and overprovisioning, and reducing infrastructure risk.
AI is taking over cloud
Manage your AI stack with infrastructure as code. Learn how HashiCorp helps platform teams use AI to manage costs, reduce risk, and cut development time.
Outcomes
Enhance efficiency with AIOps
Reduce time spent manually managing workflows with infrastructure as code. Streamline the provisioning of AI and ML workloads across your cloud infrastructure with generated module tests and boost the development speed of your infrastructure.
Manage infrastructure-related costs
Reduce unnecessary cloud spend by up to 20% from idle, orphaned, and overprovisioned cloud resources to account for fluctuating AI and ML training demands.
Lower the barrier to entry
Platform teams can minimize skills gaps while developing infrastructure by taking advantage of AIOps tools such as Developer AI to quickly search for reference materials, architectural guides, and more.
Products and integrations to power your adoption of AIOps
Name | Category | Feature | Description |
Create Terraform | Architecture | Generate architecture/templates from prompt | Automatically generate architecture or templates based on a prompt, simplifying the design process. |
Improve Generation of Import | Import CP | Enhance generation of import | Enhances the import process by generating improved code or suggestions. |
Terraform Command | Command Palette | Edit architecture with a prompt | Allows users to edit architecture directly through a command prompt interface, enhancing productivity and ease of use. |
Generate ID Card Suggestions | ID Card | Generate ID card suggestions | Suggests configurations and settings for ID cards within the system. |
Terraform Insight | Manage | Live info on architecture issues | Provides real-time information on any issues or errors in the architecture, enabling quick troubleshooting and resolution. |
Terraform Documentation | Command Palette | Search Terraform documentation | Facilitates quick search within Terraform documentation through prompts, saving time and improving accuracy. |
Terraform Chat | Explain Architecture | Chat with architecture to understand/update | Engage in dialogue with the architecture code to understand or modify its design. |
Terraform Convert | Architecture | Convert Sketch into Architecture | Transforms hand-drawn sketches into structured architectural designs, making it easier to translate ideas into executable plans. |
Integrate Customer Modules (RAG) | Modules | Integrate customer modules | Includes customer-specific modules in the generation process to enhance personalization. |
AI-based Resource Suggestions | Design Area | Suggest necessary resources automatically | Predicts resource needs based on user actions, ensuring optimal resource allocation and management. |
Terraform Configuration | ID Card | Pre-populate resources/node configurations | Auto-fills resource or node configurations akin to GitHub Copilot, speeding up the setup process and reducing manual errors. |
Terraform Reverse | Design Area | Convert architectures across providers | Converts architecture from one cloud service provider to another, providing flexibility and compatibility across platforms. |
Intelligent Node Design and Configuration | Design | Intelligent node design and configuration | Streamlines the design and configuration process of nodes, improving efficiency and reducing errors. |
Basic Drawing Tool for Architecture Initiation | Design | Basic drawing tool for architecture initiation | Provides a basic drawing interface similar to a whiteboard to start designs, making the planning process more intuitive. |
AI-assisted Terraform Coding | Design | AI-assisted Terraform coding | Prompts AI to generate or advise on Terraform code, whether from scratch or based on existing code, improving coding quality and speed. |
Add Documentation and Improve Graph Generation | Writing Code | Enhance documentation and visual representation of architecture | Improves the quality and clarity of documentation, making it easier to maintain and understand architectural designs. |
Error Checking and Security Assessments | CI/CD | Error checking and security assessments | Integrates error checking and security assessments into the CI/CD pipeline, ensuring code quality and security. |
Generate Architectural Graphs | Manage | Generate architectural graphs | Automatically generates graphical representations of architectures, enhancing visualization of cloud architectures. |
