Best AI tools for< Manage Infrastructure As Code >

Pulumi is an AI-powered infrastructure as code tool that allows engineers to manage cloud infrastructure using various programming languages like Node.js, Python, Go, .NET, Java, and YAML. It offers features such as generative AI-powered cloud management, security enforcement through policies, automated deployment workflows, asset management, compliance remediation, and AI insights over the cloud. Pulumi helps teams provision, automate, and evolve cloud infrastructure, centralize and secure secrets management, and gain security, compliance, and cost insights across all cloud assets.

Harness is an AI-driven software delivery platform that empowers software engineering teams with AI-infused technology for seamless software delivery. It offers a single platform for all software delivery needs, including DevOps modernization, continuous delivery, GitOps, feature flags, infrastructure as code management, chaos engineering, service reliability management, secure software delivery, cloud cost optimization, and more. Harness aims to simplify the developer experience by providing actionable insights on SDLC, secure software supply chain assurance, and AI development assistance throughout the software delivery lifecycle.

Tracecat is an open-source security automation platform that helps you automate security alerts, build AI-assisted workflows, orchestrate alerts, and close cases fast. It is a Tines / Splunk SOAR alternative that is built for builders and allows you to experiment for free. You can deploy Tracecat on your own infrastructure or use Tracecat Cloud with no maintenance overhead. Tracecat is Apache-2.0 licensed, which means it is open vision, open community, and open development. You can have your say in the future of security automation. Tracecat is no-code first, but you can also code as well. You can build automations fast with no-code and customize without vendor lock-in using Python. Tracecat has a click-and-drag workflow builder that allows you to automate SecOps using pre-built actions (API calls, webhooks, data transforms, AI tasks, and more) combined into workflows. No code is required. Tracecat also has a built-in case management system that allows you to open cases directly from workflows and track and manage security incidents all in one platform.

Domino Data Lab is an enterprise AI platform that enables users to build, deploy, and manage AI models across any environment. It fosters collaboration, establishes best practices, and ensures governance while reducing costs. The platform provides access to a broad ecosystem of open source and commercial tools, and infrastructure, allowing users to accelerate and scale AI impact. Domino serves as a central hub for AI operations and knowledge, offering integrated workflows, automation, and hybrid multicloud capabilities. It helps users optimize compute utilization, enforce compliance, and centralize knowledge across teams.

Microtica AI Deployment Tool is an advanced platform that leverages artificial intelligence to streamline the deployment process of cloud infrastructure. The tool offers features such as incident investigation with AI assistance, designing and deploying cloud infrastructure using natural language, and automated deployments. With Microtica, users can easily analyze logs, metrics, and system state to identify root causes and solutions, as well as get infrastructure-as-code and architecture diagrams. The platform aims to simplify the deployment process and enhance productivity by integrating AI capabilities into the workflow.

Lacework is a cloud security platform that provides comprehensive security solutions for DevOps, Containers, and Cloud Environments. It offers features such as Code Security, Workload Protection, Identities and Entitlements management, Posture Management, Kubernetes Security, Data Posture Management, Infrastructure as Code security, Software Composition Analysis, Application Security Testing, Edge Security, and Platform Overview. Lacework empowers users to secure their entire cloud infrastructure, prioritize risks, protect workloads, and stay compliant by leveraging AI-driven technologies and behavior-based threat detection. The platform helps automate compliance reporting, fix vulnerabilities, and reduce alerts, ultimately enhancing cloud security and operational efficiency.

CloudX is an ad infrastructure platform designed for the Intelligence Era, offering a full programmatic stack for mobile advertising operable by autonomous agents. It provides transparent auctions, publisher control, and quality ad experiences for mobile publishers. CloudX leverages AI technology to automate mobile SDK integration, reduce integration time, and deliver production-ready code in minutes. The platform enables monetization as code, allowing users to leverage modern software development principles for automation, version control, and A/B testing. CloudX also levels the playing field for non-SDK bidders by providing direct access for omnichannel programmatic buyers to compete alongside SDK bidders in the marketplace.

CodeGPT is a comprehensive AI-powered platform that provides a suite of tools and services designed to enhance business operations and streamline coding processes. It offers a range of AI assistants, known as Copilots, Agents, or GPTs, that can be customized and integrated into various applications. These AI assistants can automate tasks, generate content, provide insights, and assist with coding, among other functions. CodeGPT also features a marketplace where users can explore and discover a wide selection of pre-built AI assistants tailored to specific tasks and industries. Additionally, the platform offers an API for advanced users to integrate AI capabilities into their own custom projects. With its focus on customization, flexibility, and ease of use, CodeGPT empowers businesses and individuals to leverage AI technology to improve efficiency, productivity, and innovation.

Pixis is a codeless AI infrastructure designed for growth marketing, offering purpose-built AI solutions to scale demand generation. The platform leverages transparent AI infrastructure to optimize campaign results across platforms, with features such as targeting AI, creative AI, and performance AI. Pixis helps reduce customer acquisition cost, generate creative assets quickly, refine audience targeting, and deliver contextual communication in real-time. The platform also provides an AI savings calculator to estimate the returns from leveraging its codeless AI infrastructure for marketing. With success stories showcasing significant improvements in various marketing metrics, Pixis aims to empower businesses to unlock the capabilities of AI for enhanced performance and results.

AIMLAPI.com is an AI tool that provides access to over 200 AI models through a single AI API. It offers a wide range of AI features for tasks such as chat, code, image generation, music generation, video, voice embedding, language, genomic models, and 3D generation. The platform ensures fast inference, top-tier serverless infrastructure, high data security, 99% uptime, and 24/7 support. Users can integrate AI features easily into their products and test API models in a sandbox environment before deployment.

The website offers an AI startup builder tool that allows users to create AI applications in hours by leveraging customizable demo apps and boilerplate code. It provides a Next.js AI starter kit with various features such as full-stack web app development, styling and design with TailwindCSS, state-of-the-art AI models from OpenAI, subscriptions and payments with LemonSqueezy, and more. Users can save time on coding and infrastructure setup, focusing on building their product instead.

Maintain-AI is an automated pavement assessment tool that utilizes cutting-edge computer vision and AI technologies to simplify and accelerate road assessments. It enables road asset professionals to make informed decisions from objectively collected data, optimizing the use of available budgets and ensuring timely interventions. The tool aims to improve the way infrastructure assets such as roads and bridges are managed by evolving current maintenance activities and adopting technology.

Microsoft Azure is a cloud computing service that offers a wide range of products and solutions for businesses and developers. It provides services such as databases, analytics, compute, containers, hybrid cloud, AI, application development, and more. Azure aims to help organizations innovate, modernize, and scale their operations by leveraging the power of the cloud. With a focus on flexibility, performance, and security, Azure is designed to support a variety of workloads and use cases across different industries.

Mystic.ai is an AI tool designed to deploy and scale Machine Learning models with ease. It offers a fully managed Kubernetes platform that runs in your own cloud, allowing users to deploy ML models in their own Azure/AWS/GCP account or in a shared GPU cluster. Mystic.ai provides cost optimizations, fast inference, simpler developer experience, and performance optimizations to ensure high-performance AI model serving. With features like pay-as-you-go API, cloud integration with AWS/Azure/GCP, and a beautiful dashboard, Mystic.ai simplifies the deployment and management of ML models for data scientists and AI engineers.

Rafay is an AI-powered platform that accelerates cloud-native and AI/ML initiatives for enterprises. It provides automation for Kubernetes clusters, cloud cost optimization, and AI workbenches as a service. Rafay enables platform teams to focus on innovation by automating self-service cloud infrastructure workflows.

Union.ai is an infrastructure platform designed for AI, ML, and data workloads. It offers a scalable MLOps platform that optimizes resources, reduces costs, and fosters collaboration among team members. Union.ai provides features such as declarative infrastructure, data lineage tracking, accelerated datasets, and more to streamline AI orchestration on Kubernetes. It aims to simplify the management of AI, ML, and data workflows in production environments by addressing complexities and offering cost-effective strategies.

Anyscale is a company that provides a scalable compute platform for AI and Python applications. Their platform includes a serverless API for serving and fine-tuning open LLMs, a private cloud solution for data privacy and governance, and an open source framework for training, batch, and real-time workloads. Anyscale's platform is used by companies such as OpenAI, Uber, and Spotify to power their AI workloads.

Heartspace is an outcome-based PR service designed for B2B tech companies. It offers a managed PR process that includes strategy, journalist relations, outreach, and follow-up, delivering results with minimal time investment from the user. Heartspace utilizes proprietary infrastructure for PR delivery, focusing on measurable outcomes rather than hourly billing. The service is GDPR compliant and prioritizes data security, offering enterprise-level protection and isolation. Heartspace provides different service options tailored to various needs, such as Managed PR, Assisted PR, and Agency OS.

Gavel is a legal document automation and intake software designed for legal professionals. It offers a range of features to help lawyers and law firms automate tasks, streamline workflows, and improve efficiency. Gavel's AI-enabled onboarding process, Blueprint, streamlines the onboarding process without accessing any client data. The software also includes features such as secure client collaboration, integrated payments, and custom workflow creation. Gavel is suitable for legal professionals of all sizes and practice areas, from solo practitioners to large firms.

ITVA is an AI automation tool for network infrastructure products that revolutionizes network management by enabling users to configure, query, and document their network using natural language. It offers features such as rapid configuration deployment, network diagnostics acceleration, automated diagram generation, and modernized IP address management. ITVA's unique solution securely connects to networks, combining real-time data with a proprietary dataset curated by veteran engineers. The tool ensures unparalleled accuracy and insights through its real-time data pipeline and on-demand dynamic analysis capabilities.

A curated list of awesome Model Context Protocol (MCP) servers focused on DevOps tools and capabilities. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on DevOps-related MCP servers that extend AI capabilities through cloud infrastructure management, CLI operations, version control, security scanning, and other DevOps-related services.

Develops, advises and optimizes infrastructure-as-code practices across the organization.

Guides from Terraform install to script deployment.

Expert in Linux, DevOps, and Infrastructure as Code

Senior DevOps Engineer specializing in Ansible

Cloud computing ace with an old school vibe.

Cloud engineer expert in Terraform for AWS/GCP infrastructures.

I assist with urban management tasks.

French Linux devops expert aiding in productivity.

日本語Nutanix Bibleから回答するチャット。

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Your Personal Cloud DevOps Mentor

A formal, expert guide for DevOps pros advancing their skills. Your DevOps GYM

An expert MLOps engineer assisting in DevOps and pipeline optimization.

DevOps and Python mentor, explores the internet for you!

Expert in CI/CD pipeline configurations and DevOps best practices.

Senior Java software engineer and cloud expert

Creates full bash scripts for web apps with user guidance.

Expert in cloud computing, offering insights on services, security, and infrastructure.

Cloud Engineer Expert, guiding in cloud tech, projects, career, and industry trends.

Expert in cloud-native solutions, provides tailored tech advice and cost estimates.