Alternatives to NVIDIA Cloud Functions

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.

Execute your code without having to worry about server management, paying solely for the computational resources you actually use. AWS Lambda allows you to run your code without the need for provisioning or overseeing servers, charging you exclusively for the time your code is active. With Lambda, you can deploy code for nearly any kind of application or backend service while enjoying complete freedom from administrative tasks. Simply upload your code, and AWS Lambda handles everything necessary for running and scaling it with exceptional availability. You have the flexibility to set your code to automatically respond to triggers from other AWS services or invoke it directly from any web or mobile application. Furthermore, AWS Lambda efficiently runs your code without the need for you to manage server infrastructure. Just write your code and upload it, and AWS Lambda will take care of the rest. It also automatically scales your application by executing your code in response to each individual trigger, processing them in parallel and adapting precisely to the workload's demands. This level of automation and scalability makes AWS Lambda a powerful tool for developers seeking to optimize their application's performance.

Vercel combines the best in developer experience with a laser-focused focus on end-user performance. Our platform allows frontend teams to do their best work. Next.js is a React framework Vercel created with Google and Facebook. It's loved by developers. Next.js powers some of the most popular websites, including Twilio and Washington Post. It is used for news, e-commerce and travel. Vercel is the best place for any frontend app to be deployed. Start by connecting to our global edge network with zero configuration. Scale dynamically to millions upon millions of pages without breaking a sweat. Live editing for your UI components. Connect your pages to any data source or headless CMS and make them work in every dev environment. All of our cloud primitives, from caching to Serverless functions, work perfectly on localhost.

At Massdriver, we believe in prevention, not permission. Our self-service platform lets ops teams encode their expertise and your organization’s non-negotiables into pre-approved infrastructure modules—using familiar IaC tools like Terraform, Helm, or OpenTofu. Each module embeds policy, security, and cost controls, transforming raw configuration into functional software assets that streamline multi-cloud deployments across AWS, Azure, GCP, and Kubernetes. By centralizing provisioning, secrets management, and RBAC, Massdriver cuts overhead for ops teams while empowering developers to visualize and deploy resources without bottlenecks. Built-in monitoring, alerting, and metrics retention reduce downtime and expedite incident resolution, driving ROI through proactive issue detection and optimized spend. No more juggling brittle pipelines—ephemeral CI/CD automatically spins up based on the tooling in each module. Scale faster and safer with unlimited projects and cloud accounts while ensuring compliance at every step. Massdriver—fast by default, safe by design.

The Industry Standard Universal Binary Repository Management Manager. All major package types supported (over 27 and growing), including Maven, npm. Python, NuGet. Gradle. Go and Helm, Kubernetes, Docker, as well as integration to leading CI servers or DevOps tools you already use. Additional functionalities include: - High availability that scales to infinity through active/active clustering in your DevOps environment. This scales as your business grows - On-Prem or Cloud, Hybrid, Multi-Cloud Solution - De Facto Kubernetes Registry for managing application packages, operating systems component dependencies, open sources libraries, Docker containers and Helm charts. Full visibility of all dependencies. Compatible with a growing number of Kubernetes cluster provider.

The easiest cloud platform for developers and teams. DigitalOcean makes it easy to deploy, manage, and scale cloud apps faster and more efficiently. DigitalOcean makes it easy to manage infrastructure for businesses and teams, no matter how many virtual machines you have. DigitalOcean App Platform: Create, deploy, scale and scale apps quickly with a fully managed solution. We will manage the infrastructure, dependencies, and app runtimes so you can quickly push code to production. You can quickly build, deploy, manage, scale, and scale apps using a simple, intuitive, visually rich experience. Apps are automatically secured We manage, renew, and create SSL certificates for you. We also protect your apps against DDoS attacks. We help you focus on the important things: creating amazing apps. We can manage infrastructure, databases, operating systems, applications, runtimes, and other dependencies.

IronFunctions is a serverless platform that is open source and falls under the Functions-as-a-Service (FaaS) category, enabling developers to create functions in any programming language and deploy them across a variety of environments, whether they are public, private, or hybrid clouds. It is compatible with AWS Lambda function formats, making it easy to import and run existing Lambda functions without hassle. Tailored for both developers and operators, IronFunctions streamlines the coding process by facilitating the development of small, dedicated functions without the complexities of managing the supporting infrastructure. Operators gain from improved resource efficiency, as the functions utilize resources solely during their active execution, and scalability is achieved simply by adding more IronFunctions nodes as required. Built with Go, the platform employs container technologies to manage incoming workloads by launching new containers, processing the input data, and delivering responses. Additionally, its flexible architecture allows for easy integration with various services, enhancing its utility for diverse application needs.

Kubernetes serves as a powerful foundation for transformative ideas. It enables developers to innovate and deliver projects more rapidly through the premier hybrid cloud and enterprise container solution. Red Hat OpenShift simplifies the process with automated installations, updates, and comprehensive lifecycle management across the entire container ecosystem, encompassing the operating system, Kubernetes, cluster services, and applications on any cloud platform. This service allows teams to operate with speed, flexibility, assurance, and a variety of options. You can code in production mode wherever you prefer to create, enabling a return to meaningful work. Emphasizing security at all stages of the container framework and application lifecycle, Red Hat OpenShift provides robust, long-term enterprise support from a leading contributor to Kubernetes and open-source technology. It is capable of handling the most demanding workloads, including AI/ML, Java, data analytics, databases, and more. Furthermore, it streamlines deployment and lifecycle management through a wide array of technology partners, ensuring that your operational needs are met seamlessly. This integration of capabilities fosters an environment where innovation can thrive without compromise.

Oracle Cloud Infrastructure (OCI) Functions provides a serverless computing platform that allows developers to design, execute, and scale applications without the burden of managing the underlying infrastructure. This service is based on the open-source Fn Project and accommodates various programming languages such as Python, Go, Java, Node.js, and C#, which facilitates versatile function development. Developers can easily deploy their code, as OCI takes care of the automatic provisioning and scaling of resources needed for execution. Additionally, it features provisioned concurrency, which guarantees that functions are ready to handle requests with minimal delay. A rich catalog of prebuilt functions is offered, allowing users to quickly implement standard tasks without starting from scratch. Functions are bundled as Docker images, and experienced developers have the option to create custom runtime environments using Dockerfiles. Furthermore, integration with Oracle Identity and Access Management allows for precise control over access permissions, while OCI Vault ensures that sensitive configuration data is stored securely. Overall, this combination of features makes OCI Functions a powerful tool for modern application development.

Movestax is a platform that focuses on serverless functions for builders. Movestax offers a range of services, including serverless functions, databases and authentication. Movestax has the services that you need to grow, whether you're starting out or scaling quickly. Instantly deploy frontend and backend apps with integrated CI/CD. PostgreSQL and MySQL are fully managed, scalable, and just work. Create sophisticated workflows and integrate them directly into your cloud infrastructure. Run serverless functions to automate tasks without managing servers. Movestax's integrated authentication system simplifies user management. Accelerate development by leveraging pre-built APIs. Object storage is a secure, scalable way to store and retrieve files.

Enhance your development process with Functions, a serverless compute platform designed for event-driven applications that can tackle intricate orchestration challenges. You can efficiently build and troubleshoot your applications locally without requiring extra configuration, and easily deploy and manage them at scale in the cloud while utilizing triggers and bindings for service integration. Enjoy a comprehensive development experience that comes with integrated tools and built-in DevOps features. The platform offers a unified programming model that enables you to respond to events and effortlessly connect with various services. You can create a range of functions and use cases, including web applications and APIs using .NET, Node.js, or Java; machine learning processes through Python; and automate cloud tasks with PowerShell. This approach provides a holistic serverless application development journey—from local construction and debugging to cloud deployment and monitoring, ensuring a seamless transition at every stage. With such capabilities, developers can maximize their productivity and innovation potential.

You focus on coding while we take care of everything else. Instantly deploy serverless applications around the world to ensure outstanding performance, dependability, and scalability. Say goodbye to the hassle of configuring auto-scaling, managing load balancers, or incurring costs for unused capacity. Your traffic will be automatically distributed and balanced across thousands of servers, allowing you to rest easy while your code adapts seamlessly. Each deployment connects to a network of data centers utilizing V8 isolates, ensuring rapid execution. Your applications benefit from Cloudflare's vast network, which is mere milliseconds away from nearly every internet user. Kick off your project with a template in your preferred programming language to begin developing an app, function, or API quickly. We provide a variety of templates, tutorials, and a command-line interface to get you started efficiently. Unlike many serverless platforms that face cold starts during deployments or spikes in service demand, our Workers execute your code immediately, eliminating delays. You can enjoy the first 100,000 requests each day at no cost, with affordable plans beginning at just $5 for every 10 million requests. With our service, you can focus on your coding goals while we ensure your applications run smoothly and efficiently.

Craft your backend as if it were a Flutter application, effortlessly deploying it with a touch of brilliance. Celest serves as a cloud platform specifically designed for Flutter developers, allowing them to construct, deploy, and oversee backends using Dart exclusively. By simply annotating any Dart function with the cloud tag, developers can convert it into a serverless function, which enhances backend logic integration within the Flutter framework. Celest works harmoniously with Drift schemas, which means it automatically generates databases, making data management much more straightforward. The deployment process is streamlined and requires only a single command, which sets up Celest, migrates the project, warms up the necessary engines, and launches it in the Celest cloud, resulting in a live project URL. The platform boasts an array of features including Dart cloud functions, server-side Flutter applications, upcoming server-side widgets, hot reload capabilities, auto-serialization, and client generation. By prioritizing the development experience, Celest aims to empower Flutter developers to create more efficiently and effectively. Overall, Celest represents a significant advancement in how Flutter developers can manage their projects in the cloud.

OpenFaaS® simplifies the deployment of serverless functions and existing applications onto Kubernetes, allowing users to utilize Docker to prevent vendor lock-in. This platform is versatile, enabling operation on any public or private cloud while supporting the development of microservices and functions in a variety of programming languages, including legacy code and binaries. It offers automatic scaling in response to demand or can scale down to zero when not in use. Users have the flexibility to work on their laptops, utilize on-premises hardware, or set up a cloud cluster. With Kubernetes handling the complexities, you can create a scalable and fault-tolerant, event-driven serverless architecture for your software projects. OpenFaaS allows you to start experimenting within just 60 seconds and to write and deploy your initial Python function in approximately 10 to 15 minutes. Following that, the OpenFaaS workshop provides a comprehensive series of self-paced labs that equip you with essential skills and knowledge about functions and their applications. Additionally, the platform fosters an ecosystem that encourages sharing, reusing, and collaborating on functions, while also minimizing boilerplate code through a template store that simplifies coding. This collaborative environment not only enhances productivity but also enriches the overall development experience.

Akamai's EdgeWorkers is a serverless computing solution that allows developers to implement custom JavaScript code at the network edge, thereby enhancing user experiences by executing processes closer to where users are located. This method effectively reduces latency by minimizing slow calls to origin servers, which not only boosts performance but also enhances security by relocating sensitive client-side logic closer to the edge. EdgeWorkers caters to a variety of applications, such as AB testing, delivering content based on geolocation, ensuring data protection and privacy compliance, personalizing dynamic websites, managing traffic, and customizing experiences based on device type. Developers can write their JavaScript code and deploy it through various means, including API, command-line interface, or graphical user interface, taking full advantage of Akamai's robust infrastructure that automatically scales to handle increased demand or traffic surges. Additionally, the platform seamlessly integrates with Akamai's EdgeKV, a distributed key-value store, which facilitates the development of data-driven applications with swift data retrieval capabilities. This versatility makes EdgeWorkers an essential tool for modern developers aiming to create responsive and secure web applications.

Red Hat OpenShift Cloud Functions (OCF) is a Function as a Service (FaaS) solution that operates on OpenShift and is derived from the Knative project within the Kubernetes ecosystem. This platform empowers developers to execute their code without needing to delve into the complexities of the underlying infrastructure. With the increasing demand for rapid access to services, deploying backend services, platforms, or applications can often be a lengthy and cumbersome process. This flexibility allows developers to work with any programming language or framework, enabling them to swiftly create business value and enhance services through FaaS, which allows scaling of small custom code units while leveraging external third-party or backend services. Additionally, serverless architecture offers an event-driven approach to building distributed applications that can automatically scale based on demand, further streamlining the development process. Ultimately, OCF fosters innovation by allowing teams to focus on building features rather than managing servers.

Execute code within a secure, resilient, and automatically scalable framework without the need to create or manage virtual machines. As the demand for function executions rises, the service dynamically provisions extra instances of your function to handle the increased load. All functions operate concurrently, and the runtime environment is distributed across three availability zones to maintain service continuity even if one zone experiences issues. You can set up and ready function instances to handle incoming requests efficiently, which helps to eliminate cold starts and allows for the rapid processing of workloads of any magnitude. Grant your functions access to your Virtual Private Cloud (VPC) to enhance communication with private resources, including database clusters, virtual machines, and Kubernetes nodes. Additionally, Serverless Functions monitors and logs details about function executions, providing insights into operational flow and performance metrics; you also have the option to specify logging methods within your function's code. Furthermore, you can initiate cloud functions in both synchronized mode and with delayed execution capabilities for greater flexibility. This approach allows for streamlined processes that can adapt to varying workloads efficiently.

IBM Cloud Functions is a versatile functions-as-a-service (FaaS) platform built upon Apache OpenWhisk, designed for creating efficient, lightweight code that runs on demand with scalability. This platform provides full access to the Apache OpenWhisk ecosystem, encouraging contributions from developers around the world. With IBM Cloud Functions, developers can create applications that respond to events through sequences of actions. Additionally, it seamlessly integrates cognitive analysis into application workflows, enhancing the capabilities of the applications being developed. As you advance in your use of OpenWhisk components or tackle larger workloads, only then does the cost increase, making it a cost-effective solution for evolving needs. Overall, IBM Cloud Functions stands out as an essential tool for developers seeking to leverage event-driven programming in their applications.

Alibaba Cloud Function Compute is a fully managed service designed for event-driven computing. This platform enables developers to concentrate on coding and uploading their applications, eliminating the need for infrastructure management like servers. Function Compute offers flexible and dependable compute resources to execute code. Furthermore, it comes with a substantial allocation of free resources, allowing users to avoid costs for up to 1,000,000 invocations and 400,000 CU-seconds of compute resources every month. This makes it an attractive option for developers looking to optimize their workflow while minimizing expenses.

We operate physical servers strategically located in cities near your users, maximizing performance while avoiding shipping costs. This infrastructure is designed to be as close to the hardware as possible, ensuring optimal service delivery. You can provision precisely what you require to enhance your application's performance and only pay for the resources you actually utilize. Our robust infrastructure provides the essential support you need for peace of mind, accompanied by visually appealing analytics to enjoy with your morning coffee. Experience seamless private networking with zero configuration and global load balancing capabilities. Easily add certificates for your own applications or scale up to a million for your clients' needs. Our development will utilize the standard web application generated by Remix, which serves as a simple foundation without a database. If you're feeling adventurous, consider exploring the Remix tutorial that guides you through building and deploying an SQLite-backed app on the Fly.io platform for further learning and development opportunities. This approach allows you to harness powerful tools to create scalable applications efficiently.

Oversee your database through a user-friendly spreadsheet interface while creating robust backend cloud functions that scale seamlessly, all from within your browser. Begin with a no-code approach and easily transition to coding as your needs grow. This flexibility allows for both simplicity and depth in your development process.

By focusing solely on the essential "core code" and overlooking less critical components, you can significantly simplify the complexity of your service architecture. SCF offers the ability to automatically scale both up and down in response to fluctuating request volumes without the need for manual adjustments. No matter how many requests your application receives at any moment, SCF is designed to allocate the appropriate computing resources automatically, ensuring that business demands are consistently met. In the event that an available zone experiences downtime due to natural disasters or power outages, SCF can seamlessly draw upon the infrastructure of other operational zones for code execution. This capability effectively mitigates the risks of service disruptions that typically arise from relying on a single availability zone. Additionally, SCF can facilitate event-triggered workloads by integrating various cloud services, thereby catering to diverse business scenarios and enhancing the resilience of your service architecture. Overall, utilizing SCF not only streamlines operations but also fortifies your system against potential service interruptions.

The fastest way to create the most popular sites. Speed. Spend less. Netlify is used by over 900,000 developers and businesses to manage web projects on a global scale. It does not require servers, devops or expensive infrastructure. Netlify detects changes to push to Git and triggers automated deployments. Netlify offers a powerful, customizable build environment. Publishing is seamless, with instant cache invalidation. It is designed to work together in a seamless git-based development workflow. You can run sites worldwide. Changes deploy automatically. Modern web projects can be published directly from your git repos. There is nothing to set up and no servers to maintain. Our CI/CD pipeline is designed for web developers and allows you to run automated builds with every git commit. With every push, generate a complete preview site. You can deploy atomically to our Edge, which is a global multi-cloud 'CDN with steroids' that optimizes performance for Jamstack apps and sites. Atomic deployments allow you to rollback at any moment.

Google Cloud Functions offers a user-friendly experience for developers, enabling you to focus on coding while it manages the underlying infrastructure. By allowing you to create and execute concise code snippets that react to specific events, it accelerates the development process. Additionally, you can easily integrate with Google Cloud or external cloud services through triggers, making it easier to address complex orchestration challenges. This seamless connectivity enhances your ability to build scalable applications efficiently.

Artifact Registry serves as Google Cloud's comprehensive and fully managed solution for storing packages and containers, focusing on efficient artifact storage and dependency oversight. It provides a central location for hosting various types of artifacts, including container images (Docker/OCI), Helm charts, and language-specific packages such as Java/Maven, Node.js/npm, and Python, ensuring quick, scalable, reliable, and secure operations, complemented by integrated vulnerability scanning and access control based on IAM. The platform integrates effortlessly with Google Cloud's CI/CD solutions, which include Cloud Build, Cloud Run, GKE, Compute Engine, and App Engine, while also enabling the creation of regional and virtual repositories fortified with finely-tuned security protocols through VPC Service Controls and encryption keys managed by customers. Developers gain from the standardized support of the Docker Registry API alongside extensive REST/RPC interfaces and options for transitioning from Container Registry. Furthermore, the platform is backed by continuously updated documentation that covers essential topics, including quickstart guides, repository management, access configuration, observability tools, and detailed instructional materials, ensuring users have the resources they need to maximize their experience. This robust support infrastructure not only aids in efficient artifact management but also empowers developers to streamline their workflows effectively.

NVIDIA DGX Cloud Serverless Inference provides a cutting-edge, serverless AI inference framework designed to expedite AI advancements through automatic scaling, efficient GPU resource management, multi-cloud adaptability, and effortless scalability. This solution enables users to reduce instances to zero during idle times, thereby optimizing resource use and lowering expenses. Importantly, there are no additional charges incurred for cold-boot startup durations, as the system is engineered to keep these times to a minimum. The service is driven by NVIDIA Cloud Functions (NVCF), which includes extensive observability capabilities, allowing users to integrate their choice of monitoring tools, such as Splunk, for detailed visibility into their AI operations. Furthermore, NVCF supports versatile deployment methods for NIM microservices, granting the ability to utilize custom containers, models, and Helm charts, thus catering to diverse deployment preferences and enhancing user flexibility. This combination of features positions NVIDIA DGX Cloud Serverless Inference as a powerful tool for organizations seeking to optimize their AI inference processes.

Deploying web applications that utilize containers has reached unprecedented simplicity. By simply retrieving container images from Docker Hub or a private Azure Container Registry, the Web App for Containers service can swiftly launch your containerized application along with any necessary dependencies into a production environment in mere seconds. This platform efficiently manages operating system updates, provisioning of resources, and balancing the load across instances. You can also effortlessly scale your applications both vertically and horizontally according to their specific demands. Detailed scaling parameters allow for automatic adjustments in response to workload peaks while reducing expenses during times of lower activity. Moreover, with just a few clicks, you can deploy data and host services in various geographic locations, enhancing accessibility and performance. This streamlined process makes it incredibly easy to adapt your applications to changing requirements and ensure they operate optimally at all times.

Helm simplifies the management of Kubernetes applications, while Helm charts allow users to define, install, and upgrade even the most intricate Kubernetes applications. These charts are not only user-friendly to create and publish, but they also facilitate easy versioning and sharing, making Helm an essential tool to eliminate redundant copy-and-paste efforts. By detailing even the most sophisticated applications, charts ensure consistent installation practices and act as a central authoritative source. They also ease the update process through in-place upgrades and customizable hooks. Furthermore, charts can be easily versioned and hosted on both public and private servers, allowing for flexibility in deployment. Should you need to revert to a previous version, the helm rollback command makes this process straightforward. Helm operates using a packaging format known as charts, which consist of a collection of files that outline a related group of Kubernetes resources. Notably, a single chart can manage the deployment of a simple element, such as a memcached pod, or orchestrate a comprehensive web application stack, including HTTP servers, databases, and caches, showcasing its versatility and power in the Kubernetes ecosystem. This capability to handle both simple and complex deployments makes Helm an indispensable tool for developers and operators alike.

Create, store, safeguard, scan, duplicate, and oversee container images and artifacts using a fully managed, globally replicated instance of OCI distribution. Seamlessly connect across various environments such as Azure Kubernetes Service and Azure Red Hat OpenShift, as well as integrate with Azure services like App Service, Machine Learning, and Batch. Benefit from geo-replication that allows for the effective management of a single registry across multiple locations. Utilize an OCI artifact repository that supports the addition of helm charts, singularity, and other formats supported by OCI artifacts. Experience automated processes for building and patching containers, including updates to base images and scheduled tasks. Ensure robust security measures through Azure Active Directory (Azure AD) authentication, role-based access control, Docker content trust, and virtual network integration. Additionally, enhance the workflow of building, testing, pushing, and deploying images to Azure with the capabilities offered by Azure Container Registry Tasks, which simplifies the management of containerized applications. This comprehensive suite provides a powerful solution for teams looking to optimize their container management strategies.

Experience the pinnacle of hybrid Docker and Helm registry technology with the JFrog Container Registry, designed to empower your Docker ecosystem without constraints. Recognized as the leading registry on the market, it offers support for both Docker containers and Helm Chart repositories tailored for Kubernetes deployments. This solution serves as your unified access point for managing and organizing Docker images while effectively circumventing issues related to Docker Hub throttling and retention limits. JFrog ensures dependable, consistent, and efficient access to remote Docker container registries, seamlessly integrating with your existing build infrastructure. No matter how you choose to develop and deploy, it accommodates your current and future business needs, whether through on-premises, self-hosted, hybrid, or multi-cloud environments across platforms like AWS, Microsoft Azure, and Google Cloud. With a strong foundation in JFrog Artifactory’s established reputation for power, stability, and resilience, this registry simplifies the management and deployment of your Docker images, offering DevOps teams comprehensive control over access permissions and governance. Additionally, its robust architecture is designed to evolve and adapt, ensuring that you stay ahead in an ever-changing technological landscape.

KubeArmor is an open-source, cloud-native security engine that provides runtime enforcement for Kubernetes clusters, containers, and virtual machines, using eBPF and Linux Security Modules such as AppArmor, BPF-LSM, and SELinux. It protects workloads by restricting behaviors like process execution, file operations, networking, and resource consumption, all enforced through customizable, Kubernetes-native policies. Unlike traditional post-attack mitigations that react after malicious activity occurs, KubeArmor’s inline enforcement blocks threats proactively without requiring changes to containers or hosts. Its simplified policy descriptions and non-privileged daemonset architecture make it easy to deploy and manage across diverse environments, including multi-cloud and edge networks. The platform logs policy violations in real time and supports granular network communication controls between containers. Installation can be done effortlessly using Helm charts, with detailed documentation and video guides available. KubeArmor is listed on AWS, Red Hat, Oracle, and DigitalOcean marketplaces, demonstrating broad industry acceptance. It also offers specialized features for IoT, 5G security, and workload sandboxing, making it a versatile choice for modern cloud-native security.

Flux is an open and extensible suite of continuous and progressive delivery solutions designed for Kubernetes. The newest iteration of Flux introduces numerous enhancements that increase its flexibility and adaptability. As a project incubated by the CNCF, Flux, along with Flagger, facilitates application deployments utilizing strategies such as canaries, feature flags, and A/B rollouts. It possesses the capability to manage any Kubernetes resource seamlessly. Built-in features allow for effective infrastructure and workload dependency management. Through automatic reconciliation, Flux enables continuous deployment (CD) and, with Flagger's assistance, supports progressive delivery (PD). Additionally, Flux can automate updates by pushing changes back to Git, including container image updates through image scanning and patching processes. It integrates smoothly with various Git providers, including GitHub, GitLab, and Bitbucket, and can also utilize s3-compatible buckets as a source. Furthermore, it is compatible with all major container registries and CI workflow providers. With support for Kustomize, Helm, RBAC, and policy-driven validation mechanisms such as OPA, Kyverno, and admission controllers, Flux ensures that deployment processes are streamlined and efficient. This combination of features not only simplifies management but also enhances operational reliability in Kubernetes environments.

IBM Cloud® Code Engine is an entirely managed, serverless solution designed for developers. You can upload your container images, batch jobs, or source code, allowing IBM Cloud Code Engine to handle and safeguard the infrastructure beneath. There's no requirement for you to size, deploy, or scale your container clusters – everything is managed seamlessly. Additionally, you don’t need any expertise in networking, as IBM Cloud Code Engine takes care of deployment, management, and autoscaling. Say goodbye to the headaches of cluster administration, sizing, and concerns about over-provisioning. You only incur costs based on your actual usage, making it a cost-effective choice. Create impressive applications in your preferred programming language and deploy them in mere seconds on this serverless platform, eliminating the need for infrastructure management. All aspects of cluster sizing, scaling, and networking are efficiently managed. Furthermore, your applications are automatically protected with TLS and kept isolated from other workloads, enhancing their security. This innovative platform allows you to deploy and securely integrate web applications, containers, batch jobs, and functions with ease. It's the perfect solution for developers seeking a hassle-free deployment experience.

Oracle Cloud Infrastructure Container Registry is a managed Docker registry service that adheres to open standards, allowing for the secure storage and sharing of container images. Engineers can utilize the well-known Docker Command Line Interface (CLI) and API to efficiently push and pull Docker images. The Registry is designed to facilitate container lifecycles by integrating seamlessly with Container Engine for Kubernetes, Identity and Access Management (IAM), Visual Builder Studio, as well as various third-party development and DevOps tools. Users can manage Docker images and container repositories by employing familiar Docker CLI commands and the Docker HTTP API V2. With Oracle handling the operational aspects and updates of the service, developers are free to concentrate on creating and deploying their containerized applications. Built on a foundation of object storage, Container Registry guarantees data durability and high availability of service through automatic replication across different fault domains. Notably, Oracle does not impose separate fees for the service; users are only billed for the storage and network resources utilized, making it an economical choice for developers. This model allows for a streamlined experience in managing container images while ensuring robust performance and reliability.

Beam is an innovative serverless GPU platform tailored for developers to effortlessly deploy AI workloads with minimal setup and swift iteration. It allows for the execution of custom models with container start times of less than a second and eliminates idle GPU costs, meaning users can focus on their code while Beam takes care of the underlying infrastructure. With the ability to launch containers in just 200 milliseconds through a specialized runc runtime, it enhances parallelization and concurrency by distributing workloads across numerous containers. Beam prioritizes an exceptional developer experience, offering features such as hot-reloading, webhooks, and job scheduling, while also supporting workloads that scale to zero by default. Additionally, it presents various volume storage solutions and GPU capabilities, enabling users to run on Beam's cloud with powerful GPUs like the 4090s and H100s or even utilize their own hardware. The platform streamlines Python-native deployment, eliminating the need for YAML or configuration files, ultimately making it a versatile choice for modern AI development. Furthermore, Beam's architecture ensures that developers can rapidly iterate and adapt their models, fostering innovation in AI applications.

Kubernetes is an open-source platform that provides developers and DevOps with an end-to-end security solution. This includes security compliance, risk analysis, security compliance and RBAC visualizer. It also scans images for vulnerabilities. Kubescape scans K8s clusters, Kubernetes manifest files (YAML files, and HELM charts), code repositories, container registries and images, detecting misconfigurations according to multiple frameworks (such as the NSA-CISA, MITRE ATT&CK®), finding software vulnerabilities, and showing RBAC (role-based-access-control) violations at early stages of the CI/CD pipeline. It instantly calculates risk scores and displays risk trends over time. Kubescape is one of the most popular Kubernetes security compliance tools for developers. Its easy-to-use interface, flexible output formats and automated scanning capabilities have made Kubescape one of the fastest growing Kubernetes tools. This has saved Kubernetes admins and users precious time, effort and resources.

NVIDIA GPU Cloud (NGC) serves as a cloud platform that harnesses GPU acceleration for deep learning and scientific computations. It offers a comprehensive catalog of fully integrated containers for deep learning frameworks designed to optimize performance on NVIDIA GPUs, whether in single or multi-GPU setups. Additionally, the NVIDIA train, adapt, and optimize (TAO) platform streamlines the process of developing enterprise AI applications by facilitating quick model adaptation and refinement. Through a user-friendly guided workflow, organizations can fine-tune pre-trained models with their unique datasets, enabling them to create precise AI models in mere hours instead of the traditional months, thereby reducing the necessity for extensive training periods and specialized AI knowledge. If you're eager to dive into the world of containers and models on NGC, you’ve found the ideal starting point. Furthermore, NGC's Private Registries empower users to securely manage and deploy their proprietary assets, enhancing their AI development journey.

NVIDIA Blueprints serve as comprehensive reference workflows tailored for both agentic and generative AI applications. By utilizing these Blueprints alongside NVIDIA's AI and Omniverse resources, businesses can develop and implement bespoke AI solutions that foster data-driven AI ecosystems. The Blueprints come equipped with partner microservices, example code, documentation for customization, and a Helm chart designed for large-scale deployment. With NVIDIA Blueprints, developers enjoy a seamless experience across the entire NVIDIA ecosystem, spanning from cloud infrastructures to RTX AI PCs and workstations. These resources empower the creation of AI agents capable of advanced reasoning and iterative planning for tackling intricate challenges. Furthermore, the latest NVIDIA Blueprints provide countless enterprise developers with structured workflows essential for crafting and launching generative AI applications. Additionally, they enable the integration of AI solutions with corporate data through top-tier embedding and reranking models, ensuring effective information retrieval on a large scale. As the AI landscape continues to evolve, these tools are invaluable for organizations aiming to leverage cutting-edge technology for enhanced productivity and innovation.

Enhance the security of your container environment on GCP, GKE, or Anthos, as containerization empowers development teams to accelerate their workflows, deploy applications effectively, and scale operations to unprecedented levels. With the growing number of containerized workloads in enterprises, it becomes essential to embed security measures at every phase of the build-and-deploy lifecycle. Infrastructure security entails that your container management platform is equipped with the necessary security functionalities. Kubernetes offers robust security features to safeguard your identities, secrets, and network communications, while Google Kubernetes Engine leverages native GCP capabilities—such as Cloud IAM, Cloud Audit Logging, and Virtual Private Clouds—as well as GKE-specific tools like application layer secrets encryption and workload identity to provide top-notch Google security for your workloads. Furthermore, ensuring the integrity of the software supply chain is critical, as it guarantees that container images are secure for deployment. This proactive approach ensures that your container images remain free of vulnerabilities and that the images you create are not tampered with, thereby maintaining the overall security of your applications. By investing in these security measures, organizations can confidently adopt containerization without compromising on safety.

Provisioning and overseeing cloud-native infrastructure can be straightforward rather than a daunting challenge. With the intuitive point-and-click interface of Mirantis Container Cloud, both administrators and developers can seamlessly deploy Kubernetes and OpenStack environments from one central dashboard, whether it's on-premises, hosted bare metal, or in the public cloud. Say goodbye to the hassle of scheduling workarounds for updates, as you can access new features promptly while ensuring zero downtime for clusters and workloads. Empower your developers to easily create, monitor, and manage Kubernetes clusters within a framework of customized guardrails. Mirantis Container Cloud serves as a unified console to oversee your entire hybrid infrastructure landscape. Furthermore, this platform enables the deployment, management, and maintenance of both Mirantis Kubernetes Engine for container-based applications and Mirantis OpenStack for virtualization environments tailored for Kubernetes. This comprehensive approach streamlines operations and enhances efficiency across the board.

Cloud Foundry simplifies and accelerates the processes of building, testing, deploying, and scaling applications while offering a variety of cloud options, developer frameworks, and application services. As an open-source initiative, it can be accessed through numerous private cloud distributions as well as public cloud services. Featuring a container-based architecture, Cloud Foundry supports applications written in multiple programming languages. You can deploy applications to Cloud Foundry with your current tools and without needing to alter the code. Additionally, CF BOSH allows you to create, deploy, and manage high-availability Kubernetes clusters across any cloud environment. By separating applications from the underlying infrastructure, users have the flexibility to determine the optimal hosting solutions for their workloads—be it on-premises, public clouds, or managed infrastructures—and can relocate these workloads swiftly, typically within minutes, without any modifications to the applications themselves. This level of flexibility enables businesses to adapt quickly to changing needs and optimize resource usage effectively.

The CLI tool integrates Git, Docker, Helm, and Kubernetes with any CI system to facilitate CI/CD and Giterminism. By leveraging established technologies, you can create efficient, reliable, and cohesive CI/CD pipelines. Werf simplifies the process of getting started, allowing users to implement best practices without the need to start from scratch. Not only does Werf build and deploy applications, but it also ensures that the current state of Kubernetes is continually synchronized with any changes made in Git. This tool pioneers Giterminism, using Git as a definitive source of truth and making the entire delivery process predictable and repeatable. With Werf, users have two deployment options: either converge the application from a Git commit into Kubernetes or publish the application from a Git commit to a container registry as a bundle before deploying it to Kubernetes. The setup for Werf is straightforward, requiring minimal configuration, making it accessible even to those without a background in DevOps or SRE. To assist users further, a variety of guides are available to help you deploy your application in Kubernetes quickly and effectively, enhancing the overall user experience.

The NVIDIA GPU-Optimized AMI serves as a virtual machine image designed to enhance your GPU-accelerated workloads in Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). By utilizing this AMI, you can quickly launch a GPU-accelerated EC2 virtual machine instance, complete with a pre-installed Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, all within a matter of minutes. This AMI simplifies access to NVIDIA's NGC Catalog, which acts as a central hub for GPU-optimized software, enabling users to easily pull and run performance-tuned, thoroughly tested, and NVIDIA-certified Docker containers. The NGC catalog offers complimentary access to a variety of containerized applications for AI, Data Science, and HPC, along with pre-trained models, AI SDKs, and additional resources, allowing data scientists, developers, and researchers to concentrate on creating and deploying innovative solutions. Additionally, this GPU-optimized AMI is available at no charge, with an option for users to purchase enterprise support through NVIDIA AI Enterprise. For further details on obtaining support for this AMI, please refer to the section labeled 'Support Information' below. Moreover, leveraging this AMI can significantly streamline the development process for projects requiring intensive computational resources.

Alibaba Cloud's Container Service for Kubernetes (ACK) is a comprehensive managed service designed to streamline the deployment and management of Kubernetes environments. It seamlessly integrates with various services including virtualization, storage, networking, and security, enabling users to enjoy high-performance and scalable solutions for their containerized applications. Acknowledged as a Kubernetes Certified Service Provider (KCSP), ACK also holds certification from the Certified Kubernetes Conformance Program, guaranteeing a reliable Kubernetes experience and the ability to easily migrate workloads. This certification reinforces the service’s commitment to ensuring consistency and portability across Kubernetes environments. Furthermore, ACK offers robust enterprise-level cloud-native features, providing thorough application security and precise access controls. Users can effortlessly establish Kubernetes clusters, while also benefiting from a container-focused approach to application management throughout their lifecycle. This holistic service empowers businesses to optimize their cloud-native strategies effectively.