Alternatives to AWS Lambda

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

AWS is the leading provider of cloud computing, delivering over 200 fully featured services to organizations worldwide. Its offerings cover everything from infrastructure—such as compute, storage, and networking—to advanced technologies like artificial intelligence, machine learning, and agentic AI. Businesses use AWS to modernize legacy systems, run high-performance workloads, and build scalable, secure applications. Core services like Amazon EC2, Amazon S3, and Amazon DynamoDB provide foundational capabilities, while advanced solutions like SageMaker and AWS Transform enable AI-driven transformation. The platform is supported by a global infrastructure that includes 38 regions, 120 availability zones, and 400+ edge locations, ensuring low latency and high reliability. AWS integrates with leading enterprise tools, developer SDKs, and partner ecosystems, giving teams the flexibility to adopt cloud at their own pace. Its training and certification programs help individuals and companies grow cloud expertise with industry-recognized credentials. With its unmatched breadth, depth, and proven track record, AWS empowers organizations to innovate and compete in the digital-first economy.

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.

Get the fastest time to revenue available and government-level security with NXT1 LaunchIT, the world’s first 100% serverless, SaaS deployment and management platform. Go from code to published SaaS in 15 minutes. NXT1 LaunchIT enables instant availability by streamlining and automating every aspect of cloud infrastructure management required for SaaS delivery and sales – simply code and deploy. LaunchIT adheres to CISA’s Secure by Design guidelines and provides a direct path to FedRAMP compliance-readiness at a fraction of the traditional time and cost required, establishing new, impactful sales opportunities into state and federal government agencies. Built on Zero Trust principles, with integrated CI/CD management, multi-account and multi-region support, comprehensive performance management and observability, full ecommerce support, and GitHub integration, LaunchIT accelerates time to revenue for technology startups, legacy application migrations, enterprise expansions, systems integrations, and independent software development. Get started today with a 15-day free trial.

Amazon Elastic Compute Cloud (Amazon EC2) is a cloud service that offers flexible and secure computing capabilities. Its primary aim is to simplify large-scale cloud computing for developers. With an easy-to-use web service interface, Amazon EC2 allows users to quickly obtain and configure computing resources with ease. Users gain full control over their computing power while utilizing Amazon’s established computing framework. The service offers an extensive range of compute options, networking capabilities (up to 400 Gbps), and tailored storage solutions that enhance price and performance specifically for machine learning initiatives. Developers can create, test, and deploy macOS workloads on demand. Furthermore, users can scale their capacity dynamically as requirements change, all while benefiting from AWS's pay-as-you-go pricing model. This infrastructure enables rapid access to the necessary resources for high-performance computing (HPC) applications, resulting in enhanced speed and cost efficiency. In essence, Amazon EC2 ensures a secure, dependable, and high-performance computing environment that caters to the diverse demands of modern businesses. Overall, it stands out as a versatile solution for various computing needs across different industries.

Amazon Elastic Container Service (ECS) is a comprehensive container orchestration platform that is fully managed. Notable clients like Duolingo, Samsung, GE, and Cook Pad rely on ECS to operate their critical applications due to its robust security, dependability, and ability to scale. There are multiple advantages to utilizing ECS for container management. For one, users can deploy their ECS clusters using AWS Fargate, which provides serverless computing specifically designed for containerized applications. By leveraging Fargate, customers eliminate the need for server provisioning and management, allowing them to allocate costs based on their application's resource needs while enhancing security through inherent application isolation. Additionally, ECS plays a vital role in Amazon’s own infrastructure, powering essential services such as Amazon SageMaker, AWS Batch, Amazon Lex, and the recommendation system for Amazon.com, which demonstrates ECS’s extensive testing and reliability in terms of security and availability. This makes ECS not only a practical option but a proven choice for organizations looking to optimize their container operations efficiently.

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.

AWS Step Functions serves as a serverless orchestrator, simplifying the process of arranging AWS Lambda functions alongside various AWS services to develop essential business applications. It features a visual interface that allows users to design and execute a series of event-driven workflows with checkpoints, ensuring that the application state is preserved throughout. The subsequent step in the workflow utilizes the output from the previous one, creating a seamless flow dictated by the specified business logic. As each component of your application is executed in the designated order, the orchestration of distinct serverless applications can present challenges, especially with tasks like managing retries and troubleshooting issues. The increasing complexity of distributed applications demands effective management strategies, which can be daunting. However, Step Functions alleviates much of this operational strain through integrated controls that handle sequencing, error management, retry mechanisms, and state maintenance. This functionality allows teams to focus more on innovation rather than the intricacies of application management. Ultimately, AWS Step Functions empowers users to translate business needs into technical solutions rapidly by providing intuitive visual workflows for streamlined development.

AWS Fargate serves as a serverless compute engine tailored for containerization, compatible with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). By utilizing Fargate, developers can concentrate on crafting their applications without the hassle of server management. This service eliminates the necessity to provision and oversee servers, allowing users to define and pay for resources specific to their applications while enhancing security through built-in application isolation. Fargate intelligently allocates the appropriate amount of compute resources, removing the burden of selecting instances and managing cluster scalability. Users are billed solely for the resources their containers utilize, thus avoiding costs associated with over-provisioning or extra servers. Each task or pod runs in its own kernel, ensuring that they have dedicated isolated computing environments. This architecture not only fosters workload separation but also reinforces overall security, greatly benefiting application integrity. By leveraging Fargate, developers can achieve operational efficiency alongside robust security measures, leading to a more streamlined development process.

Amazon API Gateway is an entirely managed service designed to simplify the process for developers to create, publish, maintain, monitor, and secure APIs, regardless of scale. Serving as the "entrance" for applications, APIs facilitate access to data, business logic, or services from the backend. Through API Gateway, developers can build both RESTful and WebSocket APIs, which are essential for enabling real-time two-way communication in applications. This service supports both containerized and serverless environments as well as web applications. It efficiently manages the complexities of processing hundreds of thousands of simultaneous API requests, handling traffic management, CORS, authorization and access control, throttling, monitoring, and versioning. Moreover, there are no upfront fees or minimum charges associated with API Gateway; instead, you only pay for the API calls and data transfer you utilize. With a tiered pricing structure, as your API usage grows, you can benefit from reduced costs, making it a cost-effective solution for businesses of all sizes. Additionally, the simplicity and scalability of API Gateway allow developers to focus more on building features rather than managing infrastructure.

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

AWS Elastic Beanstalk offers a user-friendly platform for deploying and scaling web applications and services built using various programming languages such as Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker, utilizing well-known servers like Apache, Nginx, Passenger, and IIS. By merely uploading your code, Elastic Beanstalk takes care of the entire deployment process, which includes capacity provisioning, load balancing, auto-scaling, and monitoring application health. Importantly, you maintain complete control over the AWS resources that support your application and can access the underlying infrastructure whenever necessary. There is no extra cost associated with Elastic Beanstalk itself; you are charged solely for the AWS resources required to store and operate your applications. Notably, Elastic Beanstalk is considered the quickest and most straightforward method for deploying your application on AWS. You can effortlessly upload your application using the AWS Management Console, a Git repository, or an integrated development environment (IDE) like Eclipse or Visual Studio, ensuring a seamless integration into your workflow. This flexibility allows developers to focus on coding rather than worrying about the intricacies of deployment.

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.

Amazon Elastic Kubernetes Service (EKS) is a comprehensive Kubernetes management solution that operates entirely under AWS's management. High-profile clients like Intel, Snap, Intuit, GoDaddy, and Autodesk rely on EKS to host their most critical applications, benefiting from its robust security, dependability, and ability to scale efficiently. EKS stands out as the premier platform for running Kubernetes for multiple reasons. One key advantage is the option to deploy EKS clusters using AWS Fargate, which offers serverless computing tailored for containers. This feature eliminates the need to handle server provisioning and management, allows users to allocate and pay for resources on an application-by-application basis, and enhances security through inherent application isolation. Furthermore, EKS seamlessly integrates with various Amazon services, including CloudWatch, Auto Scaling Groups, IAM, and VPC, ensuring an effortless experience for monitoring, scaling, and load balancing applications. This level of integration simplifies operations, enabling developers to focus more on building their applications rather than managing infrastructure.

Amazon EventBridge serves as a serverless event bus that simplifies the integration of applications by utilizing data from your own systems, various Software-as-a-Service (SaaS) offerings, and AWS services. It provides a continuous flow of real-time data from event sources like Zendesk, Datadog, and PagerDuty, efficiently directing that information to targets such as AWS Lambda. By establishing routing rules, you can dictate the destination of your data, enabling the creation of application architectures that respond instantaneously to all incoming data sources. EventBridge facilitates the development of event-driven applications by managing essential aspects like event ingestion, delivery, security, authorization, and error handling on your behalf. As your applications grow increasingly interconnected through events, you may find that greater effort is required to discover and comprehend the structure of these events in order to effectively code responses to them. This can enhance the overall efficiency and responsiveness of your application ecosystem.

Amazon CloudFront is a rapid content delivery network (CDN) service that efficiently distributes data, videos, applications, and APIs to users worldwide with minimal latency and high transfer speeds, all within a user-friendly framework for developers. This CDN is closely integrated with AWS, utilizing both physical sites connected to the AWS global infrastructure and various other AWS services. It operates in harmony with offerings like AWS Shield for DDoS protection, Amazon S3, Elastic Load Balancing, or Amazon EC2 as the source for your applications, and Lambda@Edge, which allows you to execute custom code nearer to the end-users to enhance their experience. Notably, if AWS origins like Amazon S3, Amazon EC2, or Elastic Load Balancing are utilized, there are no charges for data transferred between these services and CloudFront. Moreover, you can tailor the code executed at the CDN edge using serverless computing capabilities, ensuring an optimal blend of cost efficiency, performance, and security while delivering content. This flexibility makes CloudFront an excellent choice for developers aiming to create a responsive and secure content delivery experience.

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.

Amazon GameLift is a specialized hosting solution for game servers that facilitates the deployment, management, and scaling of cloud servers tailored for multiplayer gaming experiences. Whether you require a comprehensive managed service or only specific features, GameLift harnesses the capabilities of AWS to ensure optimal latency, reduced player wait times, and significant cost efficiency. Utilizing the extensive AWS global network, GameLift effectively handles game server management. It allows for the seamless matchmaking of players into game sessions while enabling the autoscaling of one, hundreds, or even thousands of instances simultaneously, all without the need for manual scaling adjustments in response to varying player demand. The platform provides essential multiplayer game functionalities, including matchmaking, session directories, player data management, and analytics. Additionally, with AWS, you can access services like AWS Lambda for serverless computing that is both scalable and adaptable, as well as features from Amazon GameLift FlexMatch to enhance your matchmaking processes. Overall, GameLift offers a comprehensive solution that caters to the complex needs of modern multiplayer gaming.

Discover the quickest and simplest method to create mobile and web applications that can scale effectively. AWS Amplify serves as a comprehensive solution that allows mobile and front-end web developers to construct and launch secure, scalable full-stack applications utilizing AWS's infrastructure. By leveraging Amplify, developers can set up app backends in mere minutes, link them to their applications with just a few lines of code, and deploy static web applications effortlessly in three straightforward steps. Accelerate your time to market with AWS Amplify's powerful capabilities. The Amplify CLI offers guided workflows for establishing top-tier backends for features like authentication, storage, APIs, and other typical use cases within minutes. Furthermore, with AWS, your application automatically scales without hassle, benefiting from built-in best practices that enhance security, reliability, and global accessibility, all while granting access to essential resources through the AWS console. Amplify Libraries enable you to connect your mobile and web applications to both new and existing cloud backends seamlessly. This service supports various platforms, including Android, iOS, React, and Flutter, allowing you to incorporate functionalities like authentication via Amazon Cognito, storage through Amazon S3, data management, AI/ML features, and much more, making it a versatile choice for developers. Whether you're building a new project or enhancing an existing one, AWS Amplify provides the tools you need to succeed.

An all-encompassing workflow for writing, assessing, and deploying code is available without the need for client involvement. You can effortlessly add files, create branches, and make edits directly within your browser for immediate results. Gain complete authority over individual and team permissions by setting rules at both the repository and branch levels. This adaptable system accommodates organizations of all sizes. Ensure your entire team remains aligned with features like notifications, email summaries, a comparison view, and a comprehensive history of commits and files. You can initiate a code review, delegate tasks, and dive into your work seamlessly. The code review process is crafted to encourage early discussions and integrates smoothly with your branch, leading to enhanced feedback from your colleagues. It offers two distinct forms of feedback: Issues and Discussions. Comments that necessitate specific actions are categorized as issues, making it clear what hurdles need to be overcome for your feature to gain approval. Additionally, understanding how much code review coverage your repository has can help in managing potential risks. Effective communication and collaboration are key to a successful development process, ultimately contributing to a more robust codebase.

AWS Data Pipeline is a robust web service designed to facilitate the reliable processing and movement of data across various AWS compute and storage services, as well as from on-premises data sources, according to defined schedules. This service enables you to consistently access data in its storage location, perform large-scale transformations and processing, and seamlessly transfer the outcomes to AWS services like Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. With AWS Data Pipeline, you can effortlessly construct intricate data processing workflows that are resilient, repeatable, and highly available. You can rest assured knowing that you do not need to manage resource availability, address inter-task dependencies, handle transient failures or timeouts during individual tasks, or set up a failure notification system. Additionally, AWS Data Pipeline provides the capability to access and process data that was previously confined within on-premises data silos, expanding your data processing possibilities significantly. This service ultimately streamlines the data management process and enhances operational efficiency across your organization.

AWS Batch provides a streamlined platform for developers, scientists, and engineers to efficiently execute vast numbers of batch computing jobs on the AWS cloud infrastructure. It automatically allocates the ideal quantity and types of compute resources, such as CPU or memory-optimized instances, tailored to the demands and specifications of the submitted batch jobs. By utilizing AWS Batch, users are spared from the hassle of installing and managing batch computing software or server clusters, enabling them to concentrate on result analysis and problem-solving. The service organizes, schedules, and manages batch workloads across a comprehensive suite of AWS compute offerings, including AWS Fargate, Amazon EC2, and Spot Instances. Importantly, there are no extra fees associated with AWS Batch itself; users only incur costs for the AWS resources, such as EC2 instances or Fargate jobs, that they deploy for executing and storing their batch jobs. This makes AWS Batch not only efficient but also cost-effective for handling large-scale computing tasks. As a result, organizations can optimize their workflows and improve productivity without being burdened by complex infrastructure management.

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.

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.

Apache OpenWhisk is a distributed, open-source Serverless platform designed to execute functions (fx) in response to various events, scaling seamlessly according to demand. By utilizing Docker containers, OpenWhisk takes care of the underlying infrastructure and server management, allowing developers to concentrate on creating innovative and efficient applications. The platform features a programming model where developers can implement functional logic (termed Actions) in any of the supported programming languages, which can be scheduled dynamically and executed in reaction to relevant events triggered by external sources (Feeds) or through HTTP requests. Additionally, OpenWhisk comes with a REST API-based Command Line Interface (CLI) and various tools to facilitate service packaging, cataloging, and deployment options for popular container frameworks. As a result of its container-based architecture, Apache OpenWhisk is compatible with numerous deployment strategies, whether locally or in cloud environments, giving developers the flexibility they need. The versatility of OpenWhisk also enables it to integrate with a wide range of services, enhancing its utility in modern application development.

Amazon Lightsail is equipped with numerous features aimed at swiftly bringing your project to fruition. As a comprehensive cloud platform, Lightsail serves as a centralized solution for all your cloud-related requirements. Explore how we can assist you in initiating your journey on the AWS infrastructure. With Lightsail, you have access to virtual servers (instances) that are not only simple to set up but also supported by the robust and dependable AWS backbone. You can get your website, web application, or project up and running in mere minutes, while managing your instance effortlessly through the user-friendly Lightsail console or API. During the instance creation process, Lightsail allows you to easily choose to launch a basic operating system (OS), a pre-configured application, or a development stack, such as WordPress, Windows, Plesk, LAMP, Nginx, among others. Each Lightsail instance is equipped with an integrated firewall that enables you to control traffic flow to your instances based on source IP address, port, and protocol, ensuring enhanced security for your projects. By utilizing Lightsail, you can focus more on innovation and less on infrastructure management.

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.

AWS Cloud9 serves as a cloud-oriented integrated development environment (IDE) that allows you to create, execute, and troubleshoot your coding projects directly from your web browser. It features a built-in code editor, a debugger, and a terminal for ease of use. This IDE is equipped with necessary tools for various popular programming languages such as JavaScript, Python, and PHP, eliminating the need for manual installation or configuration on your local development setup to launch new projects. Being cloud-based means that you can access your Cloud9 environment from anywhere—be it your workplace, home, or any location with internet access. Additionally, Cloud9 streamlines the development of serverless applications, allowing for the effortless definition of resources, debugging, and toggling between local and remote application execution. Moreover, it facilitates collaboration by enabling you to share your development workspace with colleagues, which enhances pair programming and allows for real-time tracking of each other's contributions. Overall, Cloud9 significantly improves productivity and collaboration among development teams.

The easiest and fastest platform to run modern backends. Enjoy happier users and happier developers with no infrastructure or maintenance overhead. Merrymake allows developers to focus on code and not tools. Merrymake is the fastest cloud in the EU. Its cold-starts are on average 300ms without changing programming languages. Serverless allows developers to deploy their code to the cloud with just a single git-push. You only pay per millisecond your code runs. Merrymake is infraless. This means that the tools for service-to-service communications are abstracted behind a powerful and simple message-passing interface. Merrymake also has a flexible indirect communication architecture that allows for fan-out/fan in, throttling (aka rolling updates), zero-downtime deployment, caching and streaming, all with a single command. It also allows for easy service refactoring, and risk-free tests directly in Production.

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.

Catalyst is a full-stack cloud-based serverless development tool that provides backend functionalities to build microservices and applications in various platforms. Catalyst adapts a BaaS (Backend as a Service) model and provides pre-written, universal, server-side components from a unified interface as programmable elements. Catalyst allows developers to focus more on designing the user experience of the serverless applications, instead of investing time and effort into setting up and maintaining the server-side components. You can deploy applications and microservices at scale, while we take care of everything else—drastically reducing your development cycle and operational costs. What can you build with Catalyst? Catalyst helps you build a variety of applications and microservices without needing to worry about the backend infrastructure. Catalyst provides three major components: - Backend as a Service - Function as a Service - Web Client Hosting These pre-built services coupled with other Catalyst tools like, push notifications and emails, authentication, Advanced AI solutions and more provide a complete serverless suite for app development.

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.

Easily scale your applications from the ground up to a global level without the burden of infrastructure management. With the ability to evolve rapidly, you can utilize a variety of popular programming languages and an array of development tools. Quickly construct and deploy applications using well-known languages or introduce your preferred language runtimes and frameworks. Additionally, you can handle resource management via the command line, troubleshoot source code, and seamlessly run API back ends. This allows you to concentrate on coding while leaving the management of the underlying infrastructure behind. Enhance the security of your applications with features like firewall protections, identity and access management rules, and automatically managed SSL/TLS certificates. Operate within a serverless framework, alleviating concerns about over or under provisioning. App Engine intelligently scales according to your application's traffic and utilizes resources solely when your code is active, ensuring efficiency and cost-effectiveness. This streamlined approach empowers developers to innovate without the constraints of traditional infrastructure challenges.

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.

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.

Utilize a streamlined abstract syntax in YAML to define AWS Lambda functions and their respective triggers. With this approach, AWS Lambda functions, triggers, and code will be deployed seamlessly in the cloud with automatic integration. You can leverage a multitude of Serverless Framework Plugins to create diverse serverless applications on AWS and facilitate connections with various tools. Monitor the usage, performance, and errors of your serverless applications through immediate and insightful metrics. All your serverless applications and their associated resources can be accessed in one centralized location, independent of the AWS account or region. It is also straightforward to share secrets and outputs from your serverless applications while managing AWS account access effectively. The Serverless Framework allows for the rapid deployment of many common use cases, covering a wide range of applications from REST APIs built on Node.js, Python, Go, and Java, to GraphQL APIs, scheduled processes, Express.js projects, and front-end solutions. With this framework, developers can significantly enhance their productivity and streamline the development process.

AWS CodeDeploy is a comprehensive deployment service that streamlines the process of deploying software across various compute resources, including Amazon EC2, AWS Fargate, AWS Lambda, and your own on-premises servers. By facilitating rapid feature releases, AWS CodeDeploy helps maintain application uptime during deployments and simplifies the often complex task of updating applications. This service allows for the automation of software deployments, which reduces the risk associated with manual procedures. Additionally, it scales effortlessly to meet your deployment requirements. Being platform and language agnostic, AWS CodeDeploy ensures a consistent experience across different environments, whether you are deploying to Amazon EC2, AWS Fargate, or AWS Lambda, and you can conveniently repurpose your existing setup code as needed. Furthermore, CodeDeploy can seamlessly integrate with your current software release workflows or continuous delivery pipelines, such as AWS CodePipeline, GitHub, or Jenkins, thereby enhancing your overall deployment strategy and efficiency. In this way, AWS CodeDeploy not only simplifies the deployment process but also enhances the reliability and speed of software updates.

Claudia simplifies the process of deploying Node.js applications to AWS Lambda and API Gateway. By automating the often cumbersome deployment and configuration procedures, it ensures that everything is set up in a manner that JavaScript developers expect right from the start. This allows you to dive into building Lambda microservices without the hassle of navigating AWS deployment processes, enabling you to concentrate on addressing key business challenges. While AWS Lambda and API Gateway offer a high degree of flexibility, their setup can often be tedious, particularly in straightforward situations. Additionally, running Node.js functions necessitates addressing numerous quirks that are not always well documented. Claudia takes care of all these complexities on your behalf. You can deploy and update your applications with just a single command, utilizing standard NPM packages without the need to familiarize yourself with Swagger. This means you can bypass the boilerplate code and devote your attention solely to your projects. Furthermore, it allows for easy management of multiple versions, making it even more convenient. With Claudia, you can hit the ground running in mere minutes, all while enjoying a remarkably low learning curve that empowers developers to be productive right away.

Lambda is building the cloud designed for superintelligence by delivering integrated AI factories that combine dense power, liquid cooling, and next-generation NVIDIA compute into turnkey systems. Its platform supports everything from rapid prototyping on single GPU instances to running massive distributed training jobs across full GB300 NVL72 superclusters. With 1-Click Clusters™, teams can instantly deploy optimized B200 and H100 clusters prepared for production-grade AI workloads. Lambda’s shared-nothing, single-tenant security model ensures that sensitive data and models remain isolated at the hardware level. SOC 2 Type II certification and caged-cluster options make it suitable for mission-critical use cases in enterprise, government, and research. NVIDIA’s latest chips—including the GB300, HGX B300, HGX B200, and H200—give organizations unprecedented computational throughput. Lambda’s infrastructure is built to scale with ambition, capable of supporting workloads ranging from inference to full-scale training of foundation models. For AI teams racing toward the next frontier, Lambda provides the power, security, and reliability needed to push boundaries.

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.

Leverage cloud-based applications for your enterprise with a focus on Cloud Business Intelligence encompassing marketing, sales, finance, and operations, all powered by 100% Amazon Web Services solutions. There is no need for servers or upfront payments, allowing for a seamless integration of AWS Lambda workers and AWS Scheduled Events for efficient token management and transformation processes. Utilize DynamoDB for incredibly reliable no-SQL storage, where raw data can be stored and transformations can be triggered effectively. The serverless ETL logic provided by AWS Lambda works in concert with DynamoDB Streams to facilitate data processing. Additionally, AWS S3 serves as an economical solution for lightweight object storage, particularly for CSV files, while integrating seamlessly with big data HDFS distributed storage systems. Explore the power of AWS Athena, an open-source solution that draws from the Hadoop Hive ecosystem, enabling users to perform SQL-like queries on CSV files stored in AWS S3. Present your findings using AWS Quicksight for visually appealing BI dashboards; it offers web and mobile client access and supports features like drill-downs and filters, enhancing data analysis capabilities. Furthermore, Quicksight's versatility allows users to effectively navigate and interpret complex datasets with ease.

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.

Construct your data pipelines akin to assembling Lego blocks using Data Taps. Integrate fresh metrics layers, delve deeper, and conduct inquiries using real-time streaming SQL capabilities. Collaborate with peers, disseminate, and access data on a global scale. Enhance and modify your setup effortlessly. Employ various models and schemas while evolving your schema. Designed for scalability, it leverages the power of AWS Lambda and S3 for optimal performance. This flexibility allows teams to adapt quickly to changing data needs.