Best AI tools for< Cloud Infrastructure Engineer >

KubeHelper is an AI-powered tool designed to reduce Kubernetes downtime by providing troubleshooting solutions and command searches. It seamlessly integrates with Slack, allowing users to interact with their Kubernetes cluster in plain English without the need to remember complex commands. With features like troubleshooting steps, command search, infrastructure management, scaling capabilities, and service disruption detection, KubeHelper aims to simplify Kubernetes operations and enhance system reliability.

Inkdrop is an AI-powered tool that helps users visualize their cloud infrastructure by automatically generating interactive diagrams of cloud resources and dependencies. It provides a comprehensive overview of the infrastructure to speed up onboarding and understand complex resource relationships for effective troubleshooting. With seamless integration, users can effortlessly update documentation via CI pipeline integration. Meet the founders Antoine Descamps, Cofounder and CEO, and Alberto Schillaci, Cofounder and CTO. Inkdrop is trusted by partners who believe in its mission.

Pulumi is an AI-powered infrastructure as code platform that allows engineers to manage cloud infrastructure using various programming languages like Node.js, Python, Go, .NET, Java, and YAML. It offers capabilities such as generative AI-powered cloud management, security enforcement through policies, and automated deployment workflows. Pulumi Insights enables faster infrastructure code authoring through AI, while Pulumi Cloud provides managed services for infrastructure as code and secrets management. The platform is praised for its ease of use, developer experience, and ability to centralize and secure secrets management.

CloudDefense.AI is an industry-leading multi-layered Cloud Native Application Protection Platform (CNAPP) that safeguards cloud infrastructure and cloud-native apps with expertise, precision, and confidence. It offers comprehensive cloud security solutions, vulnerability management, compliance, and application security testing. The platform utilizes advanced AI technology to proactively detect and analyze real-time threats, ensuring robust protection for businesses against cyber threats.

The website provides a platform for Full-Stack Cloud Observability with a focus on Middleware. It offers comprehensive monitoring and analysis tools for cloud-based applications, enabling users to gain insights into the performance and health of their middleware components. The platform supports real-time data collection, visualization, and alerting to help users optimize their cloud infrastructure and ensure seamless operation.

Operant is a cloud-native runtime protection platform that offers instant visibility and control from infrastructure to APIs. It provides AI security shield for applications, API threat protection, Kubernetes security, automatic microsegmentation, and DevSecOps solutions. Operant helps defend APIs, protect Kubernetes, and shield AI applications by detecting and blocking various attacks in real-time. It simplifies security for cloud-native environments with zero instrumentation, application code changes, or integrations.

Cirroe AI is an intelligent chatbot designed to help users deploy and troubleshoot their AWS cloud infrastructure quickly and efficiently. With Cirroe AI, users can experience seamless automation, reduced downtime, and increased productivity by simplifying their AWS cloud operations. The chatbot allows for fast deployments, intuitive debugging, and cost-effective solutions, ultimately saving time and boosting efficiency in managing cloud infrastructure.

UbiOps is an AI infrastructure platform that helps teams quickly run their AI & ML workloads as reliable and secure microservices. It offers powerful AI model serving and orchestration with unmatched simplicity, speed, and scale. UbiOps allows users to deploy models and functions in minutes, manage AI workloads from a single control plane, integrate easily with tools like PyTorch and TensorFlow, and ensure security and compliance by design. The platform supports hybrid and multi-cloud workload orchestration, rapid adaptive scaling, and modular applications with unique workflow management system.

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.

Alluxio is a data orchestration platform designed for the cloud, offering seamless access, management, and running of AI/ML workloads. Positioned between compute and storage, Alluxio provides a unified solution for enterprises to handle data and AI tasks across diverse infrastructure environments. The platform accelerates model training and serving, maximizes infrastructure ROI, and ensures seamless data access. Alluxio addresses challenges such as data silos, low performance, data engineering complexity, and high costs associated with managing different tech stacks and storage systems.

Global Nodes is a global leader in innovative solutions, specializing in Artificial Intelligence, Data Engineering, Cloud Services, Software Development, and Mobile App Development. They integrate advanced AI to accelerate product development and provide custom, secure, and scalable solutions. With a focus on cutting-edge technology and visionary thinking, Global Nodes offers services ranging from ideation and design to precision execution, transforming concepts into market-ready products. Their team has extensive experience in delivering top-notch AI, cloud, and data engineering services, making them a trusted partner for businesses worldwide.

Kin + Carta is a global digital transformation consultancy that helps organizations embrace digital change through data, cloud, and experience design. The company's services include data and AI, cloud and platforms, experience and product design, managed services, and strategy and innovation. Kin + Carta has a team of over 2000 experts who work with clients in a variety of industries, including automotive, financial services, healthcare, and retail.

The website promptsplitter.com is experiencing an Argo Tunnel error on the Cloudflare network. Users encountering this error are advised to wait a few minutes if they are visitors, or ensure that cloudflared is running and can reach the network if they are the website owners. The error message provides guidance on troubleshooting steps to resolve the issue.

Restack is a developer tool and cloud infrastructure platform that enables users to build, launch, and scale AI products quickly and efficiently. With Restack, developers can go from local development to production in seconds, leveraging a variety of languages and frameworks. The platform offers templates, repository connections, and Dockerfile customization for seamless deployment. Restack Cloud provides cost-efficient scaling and GitHub integration for instant deployment. The platform simplifies the complexity of building and scaling AI applications, allowing users to move from code to production faster than ever before.

HCLSoftware is a leading provider of software solutions for digital transformation, data and analytics, AI and intelligent automation, enterprise security, and cloud computing. The company's products and services help organizations of all sizes to improve their business outcomes and achieve their digital transformation goals.

Codimite is an AI-assisted offshore development company that provides a range of services to help businesses accelerate their software development, reduce costs, and drive innovation. Codimite's team of experienced engineers and project managers use AI-powered tools and technologies to deliver exceptional results for their clients. The company's services include AI-assisted software development, cloud modernization, and data and artificial intelligence solutions.

Afiniti is a leading CX AI company that has been pioneering customer experience artificial intelligence since 2006. They deliver measurable business outcomes for some of the world's largest enterprises by leveraging AI, data, and cloud infrastructure to improve customer engagement productivity. Afiniti's eXperienceAI suite and Afiniti Inside services are designed to personalize customer experiences, drive better outcomes, and optimize interactions. Their mission is to remove skills or rules-based systems from the customer experience ecosystem, leading to predictive systems and increased customer value.

Zevo.ai is an AI-powered code visualization tool designed to accelerate code comprehension, deployment, and observation. It offers dynamic code analysis, contextual code understanding, and automatic code mapping to help developers streamline shipping, refactoring, and onboarding processes for both legacy and existing applications. By leveraging AI models, Zevo.ai provides deeper insights into code, logs, and cloud infrastructure, enabling developers to gain a better understanding of their codebase.

LogicMonitor is a cloud-based infrastructure monitoring platform that provides real-time insights and automation for comprehensive, seamless monitoring with agentless architecture. It offers a unified platform for monitoring infrastructure, applications, and business services, with advanced features for hybrid observability. LogicMonitor's AI-driven capabilities simplify complex IT ecosystems, accelerate incident response, and empower organizations to thrive in the digital landscape.

LogicMonitor is a cloud-based infrastructure monitoring platform that provides real-time insights and automation for comprehensive, seamless monitoring with agentless architecture. It offers a wide range of features including infrastructure monitoring, network monitoring, server monitoring, remote monitoring, virtual machine monitoring, SD-WAN monitoring, database monitoring, storage monitoring, configuration monitoring, cloud monitoring, container monitoring, AWS Monitoring, GCP Monitoring, Azure Monitoring, digital experience SaaS monitoring, website monitoring, APM, AIOPS, Dexda Integrations, security dashboards, and platform demo logs. LogicMonitor's AI-driven hybrid observability helps organizations simplify complex IT ecosystems, accelerate incident response, and thrive in the digital landscape.

Paddler is an open-source load balancer and reverse proxy designed specifically for optimizing servers running llama.cpp. It overcomes typical load balancing challenges by maintaining a stateful load balancer that is aware of each server's available slots, ensuring efficient request distribution. Paddler also supports dynamic addition or removal of servers, enabling integration with autoscaling tools.

Flux All-In-One is a lightweight distribution optimized for running the GitOps Toolkit controllers as a single deployable unit on Kubernetes clusters. It is designed for bare clusters, edge clusters, clusters with restricted communication, clusters with egress via proxies, and serverless clusters. The distribution follows semver versioning and provides documentation for specifications, installation, upgrade, OCI sync configuration, Git sync configuration, and multi-tenancy configuration. Users can deploy Flux using Timoni CLI and a Timoni Bundle file, fine-tune installation options, sync from public Git repositories, bootstrap repositories, and uninstall Flux without affecting reconciled workloads.

DaoCloud Enterprise 5.0 Documentation provides detailed information on using DaoCloud, a Certified Kubernetes Service Provider. The documentation covers current and legacy versions, workflow control using GitOps, and instructions for opening a PR and previewing changes locally. It also includes naming conventions, writing tips, references, and acknowledgments to contributors. Users can find guidelines on writing, contributing, and translating pages, along with using tools like MkDocs, Docker, and Poetry for managing the documentation.

This repository contains a Docker image with ZeroTier One and ztncui to set up a standalone ZeroTier network controller with a web user interface. It provides features like Golang auto-mkworld for generating a planet file, supports local persistent storage configuration, and includes a public file server. Users can build the Docker image, set up the container with specific environment variables, and manage the ZeroTier network controller through the web interface.

CodeBox is a cloud infrastructure tool designed for running Python code in an isolated environment. It also offers simple file input/output capabilities and will soon support vector database operations. Users can install CodeBox using pip and utilize it by setting up an API key. The tool allows users to execute Python code snippets and interact with the isolated environment. CodeBox is currently in early development stages and requires manual handling for certain operations like refunds and cancellations. The tool is open for contributions through issue reporting and pull requests. It is licensed under MIT and can be contacted via email at [email protected].

The Oracle Cloud Infrastructure Data Science and AI services Examples repository provides demos, tutorials, and code examples showcasing various features of the OCI Data Science service and AI services. It offers tools for data scientists to develop and deploy machine learning models efficiently, with features like Accelerated Data Science SDK, distributed training, batch processing, and machine learning pipelines. Whether you're a beginner or an experienced practitioner, OCI Data Science Services provide the resources needed to build, train, and deploy models easily.

CB-Tumblebug (CB-TB) is a system for managing multi-cloud infrastructure consisting of resources from multiple cloud service providers. It provides an overview, features, and architecture. The tool supports various cloud providers and resource types, with ongoing development and localization efforts. Users can deploy a multi-cloud infra with GPUs, enjoy multiple LLMs in parallel, and utilize LLM-related scripts. The tool requires Linux, Docker, Docker Compose, and Golang for building the source. Users can run CB-TB with Docker Compose or from the Makefile, set up prerequisites, contribute to the project, and view a list of contributors. The tool is licensed under an open-source license.

Jina is a tool that allows users to build multimodal AI services and pipelines using cloud-native technologies. It provides a Pythonic experience for serving ML models and transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Users can build and serve models for any data type and deep learning framework, design high-performance services with easy scaling, serve LLM models while streaming their output, integrate with Docker containers via Executor Hub, and host on CPU/GPU using Jina AI Cloud. Jina also offers advanced orchestration and scaling capabilities, a smooth transition to the cloud, and easy scalability and concurrency features for applications. Users can deploy to their own cloud or system with Kubernetes and Docker Compose integration, and even deploy to JCloud for autoscaling and monitoring.

Pluto is a development tool dedicated to helping developers **build cloud and AI applications more conveniently** , resolving issues such as the challenging deployment of AI applications and open-source models. Developers are able to write applications in familiar programming languages like **Python and TypeScript** , **directly defining and utilizing the cloud resources necessary for the application within their code base** , such as AWS SageMaker, DynamoDB, and more. Pluto automatically deduces the infrastructure resource needs of the app through **static program analysis** and proceeds to create these resources on the specified cloud platform, **simplifying the resources creation and application deployment process**.

Scale's LLM Engine is an open-source Python library, CLI, and Helm chart that provides everything you need to serve and fine-tune foundation models, whether you use Scale's hosted infrastructure or do it in your own cloud infrastructure using Kubernetes.

RAGapp is a tool designed for easy deployment of Agentic RAG in any enterprise. It allows users to configure and deploy RAG in their own cloud infrastructure using Docker. The tool is built using LlamaIndex and supports hosted AI models from OpenAI or Gemini, as well as local models using Ollama. RAGapp provides endpoints for Admin UI, Chat UI, and API, with the option to specify the model and Ollama host. The tool does not come with an authentication layer, requiring users to secure the '/admin' path in their cloud environment. Deployment can be done using Docker Compose with customizable model and Ollama host settings, or in Kubernetes for cloud infrastructure deployment. Development setup involves using Poetry for installation and building frontends.

AI System School is a curated list of research in machine learning systems, focusing on ML/DL infra, LLM infra, domain-specific infra, ML/LLM conferences, and general resources. It provides resources such as data processing, training systems, video systems, autoML systems, and more. The repository aims to help users navigate the landscape of AI systems and machine learning infrastructure, offering insights into conferences, surveys, books, videos, courses, and blogs related to the field.

ZenML is an extensible, open-source MLOps framework for creating portable, production-ready machine learning pipelines. By decoupling infrastructure from code, ZenML enables developers across your organization to collaborate more effectively as they develop to production.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

Windows Agent Arena (WAA) is a scalable Windows AI agent platform designed for testing and benchmarking multi-modal, desktop AI agents. It provides researchers and developers with a reproducible and realistic Windows OS environment for AI research, enabling testing of agentic AI workflows across various tasks. WAA supports deploying agents at scale using Azure ML cloud infrastructure, allowing parallel running of multiple agents and delivering quick benchmark results for hundreds of tasks in minutes.

llm-finetuning is a repository that provides a serverless twist to the popular axolotl fine-tuning library using Modal's serverless infrastructure. It allows users to quickly fine-tune any LLM model with state-of-the-art optimizations like Deepspeed ZeRO, LoRA adapters, Flash attention, and Gradient checkpointing. The repository simplifies the fine-tuning process by not exposing all CLI arguments, instead allowing users to specify options in a config file. It supports efficient training and scaling across multiple GPUs, making it suitable for production-ready fine-tuning jobs.

Caikit is an AI toolkit that enables users to manage models through a set of developer friendly APIs. It provides a consistent format for creating and using AI models against a wide variety of data domains and tasks.

Felafax is a framework designed to tune LLaMa3.1 on Google Cloud TPUs for cost efficiency and seamless scaling. It provides a Jupyter notebook for continued-training and fine-tuning open source LLMs using XLA runtime. The goal of Felafax is to simplify running AI workloads on non-NVIDIA hardware such as TPUs, AWS Trainium, AMD GPU, and Intel GPU. It supports various models like LLaMa-3.1 JAX Implementation, LLaMa-3/3.1 PyTorch XLA, and Gemma2 Models optimized for Cloud TPUs with full-precision training support.

A massive list including a huge amount of products and services that are completely free! ⭐ Star on GitHub • 🤝 Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL

awesome-AIOps is a curated list of academic researches and industrial materials related to Artificial Intelligence for IT Operations (AIOps). It includes resources such as competitions, white papers, blogs, tutorials, benchmarks, tools, companies, academic materials, talks, workshops, papers, and courses covering various aspects of AIOps like anomaly detection, root cause analysis, incident management, microservices, dependency tracing, and more.

Cloud engineer expert in Terraform for AWS/GCP infrastructures.

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Create UML for flowcharts, Class, Sequence, Use Case, and Activity diagrams using PlantUML. System design and cloud infrastructure diagrams for AWS, Azue and GCP. No login required.

Architext is a sophisticated chatbot designed to guide users through the complexities of AWS architecture, leveraging the AWS Well-Architected Framework. It offers real-time, tailored advice, interactive learning, and up-to-date resources for both novices and experts in AWS cloud infrastructure.

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

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

Cloud computing ace with an old school vibe.

I'm an always-on-call cloud expert, specializing in solving GCP problems.

Expert in Linux, DevOps, and Infrastructure as Code

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

Cloud Mentor in AWS, Azure & Google Cloud for all your cloud related problems.

Guides from Terraform install to script deployment.

Introducing IAC Code Guardian: Your Trusted IaC Security Expert in Scanning Opentofu, Terrform, AWS Cloudformation, Pulumi, K8s Yaml & Dockerfile

I'm Alice, your go-to guide for DevOps fun and detailed coding solutions!

AI-powered audit ally. Enhance cybersecurity effortlessly with intelligent, automated security analysis. Safe, swift, and smart.

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Guides in data engineering tasks with a focus on practical solutions.

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