Alternatives to PredictKube
Compare PredictKube alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to PredictKube in 2026. Compare features, ratings, user reviews, pricing, and more from PredictKube competitors and alternatives in order to make an informed decision for your business.
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1
RunPod
RunPod
RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure. -
2
Run advanced apps on a secured and managed Kubernetes service. GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Start quickly with single-click clusters. Leverage a high-availability control plane including multi-zonal and regional clusters. Eliminate operational overhead with auto-repair, auto-upgrade, and release channels. Secure by default, including vulnerability scanning of container images and data encryption. Integrated Cloud Monitoring with infrastructure, application, and Kubernetes-specific views. Speed up app development without sacrificing security.
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3
AWS Elastic Beanstalk
Amazon
AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS. You can simply upload your code and Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring. At the same time, you retain full control over the AWS resources powering your application and can access the underlying resources at any time. There is no additional charge for Elastic Beanstalk - you pay only for the AWS resources needed to store and run your applications. Elastic Beanstalk is the fastest and simplest way to deploy your application on AWS. You simply use the AWS Management Console, a Git repository, or an integrated development environment (IDE) such as Eclipse or Visual Studio to upload your application. -
4
KubeGrid
KubeGrid
Define your Kubernetes infrastructure, and use KubeGrid to automatically deploy, monitor, and optimize up to thousands of clusters. KubeGrid automates the full lifecycle management of Kubernetes in on-prem and cloud environments, enabling developers to deploy, manage, and update large numbers of clusters with ease. KubeGrid is a Platform as Code, meaning you can declaratively define all your Kubernetes requirements as code, from your on-prem or cloud infrastructure, to cluster specs, and autoscaling policies, and KubeGrid will deploy and manage everything for you. Most infrastructure-as-code tools help you provision infrastructure, but stop there. KubeGrid goes beyond that to help developers automate Day 2 operations, such as monitoring infrastructure, failing over unhealthy nodes, and updating your clusters and operating system. Kubernetes is great for provisioning pods in an automated fashion. -
5
Azure Kubernetes Service (AKS)
Microsoft
The fully managed Azure Kubernetes Service (AKS) makes deploying and managing containerized applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence. Elastic provisioning of additional capacity without the need to manage the infrastructure. Add event-driven autoscaling and triggers through KEDA. Faster end-to-end development experience with Azure Dev Spaces including integration with Visual Studio Code Kubernetes tools, Azure DevOps, and Azure Monitor. Advanced identity and access management using Azure Active Directory, and dynamic rules enforcement across multiple clusters with Azure Policy. Available in more regions than any other cloud providers. -
6
KServe
KServe
Highly scalable and standards-based model inference platform on Kubernetes for trusted AI. KServe is a standard model inference platform on Kubernetes, built for highly scalable use cases. Provides performant, standardized inference protocol across ML frameworks. Support modern serverless inference workload with autoscaling including a scale to zero on GPU. Provides high scalability, density packing, and intelligent routing using ModelMesh. Simple and pluggable production serving for production ML serving including prediction, pre/post-processing, monitoring, and explainability. Advanced deployments with the canary rollout, experiments, ensembles, and transformers. ModelMesh is designed for high-scale, high-density, and frequently-changing model use cases. ModelMesh intelligently loads and unloads AI models to and from memory to strike an intelligent trade-off between responsiveness to users and computational footprint.Starting Price: Free -
7
Azure CycleCloud
Microsoft
Create, manage, operate, and optimize HPC and big compute clusters of any scale. Deploy full clusters and other resources, including scheduler, compute VMs, storage, networking, and cache. Customize and optimize clusters through advanced policy and governance features, including cost controls, Active Directory integration, monitoring, and reporting. Use your current job scheduler and applications without modification. Give admins full control over which users can run jobs, as well as where and at what cost. Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries. CycleCloud supports any job scheduler or software stack—from proprietary in-house to open-source, third-party, and commercial applications. Your resource demands evolve over time, and your cluster should, too. With scheduler-aware autoscaling, you can fit your resources to your workload.Starting Price: $0.01 per hour -
8
Knative
Google
Knative, created originally by Google with contributions from over 50 different companies, delivers an essential set of components to build and run serverless applications on Kubernetes. Knative offers features like scale-to-zero, autoscaling, in-cluster builds, and eventing framework for cloud-native applications on Kubernetes. Whether on-premises, in the cloud, or in a third-party data center, Knative codifies the best practices shared by successful real-world Kubernetes-based frameworks. Most importantly, Knative enables developers to focus on writing code without the need to worry about the “boring but difficult” parts of building, deploying, and managing their application. -
9
Google Cloud Pub/Sub
Google
Google Cloud Pub/Sub. Scalable, in-order message delivery with pull and push modes. Auto-scaling and auto-provisioning with support from zero to hundreds of GB/second. Independent quota and billing for publishers and subscribers. Global message routing to simplify multi-region systems. High availability made simple. Synchronous, cross-zone message replication and per-message receipt tracking ensure reliable delivery at any scale. No planning, auto-everything. Auto-scaling and auto-provisioning with no partitions eliminate planning and ensures workloads are production-ready from day one. Advanced features, built in. Filtering, dead-letter delivery, and exponential backoff without sacrificing scale help simplify your applications. A fast, reliable way to land small records at any volume, an entry point for real-time and batch pipelines feeding BigQuery, data lakes and operational databases. Use it with ETL/ELT pipelines in Dataflow. -
10
dstack
dstack
dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably. -
11
Omnistrate
Omnistrate
Build and operate your multi-cloud offering at one-tenth the cost with enterprise-grade capabilities like SaaS provisioning, serverless auto-scaling, billing, monitoring with auto-recovery, and intelligent patching. Build a managed cloud offering for your data product(s) with enterprise-grade capabilities. Automate platform engineering to streamline software delivery and achieve zero-touch management. Omnistrate simplifies SaaS launch your all-in-one essentials, no more building the undifferentiated things from the ground up. One API call to scale across clouds, regions, environments, service offerings, and infrastructure. Built on open standards, we don't need access to your customers' data or your software. Seamlessly scale your cloud offering using auto-scaling with a scale down to zero. Automate your mundane, repetitive, undifferentiated tasks and focus on building your core product to delight your customers. -
12
Nebius Token Factory
Nebius
Nebius Token Factory is a scalable AI inference platform designed to run open-source and custom AI models in production without manual infrastructure management. It offers enterprise-ready inference endpoints with predictable performance, autoscaling throughput, and sub-second latency — even at very high request volumes. It delivers 99.9% uptime availability and supports unlimited or tailored traffic profiles based on workload needs, simplifying the transition from experimentation to global deployment. Nebius Token Factory supports a broad set of open source models such as Llama, Qwen, DeepSeek, GPT-OSS, Flux, and many others, and lets teams host and fine-tune models through an API or dashboard. Users can upload LoRA adapters or full fine-tuned variants directly, with the same enterprise performance guarantees applied to custom models.Starting Price: $0.02 -
13
American Cloud
American Cloud
American Cloud is a cloud infrastructure platform designed to help businesses build, deploy, and scale applications with greater control and cost efficiency. It offers core services such as cloud compute, managed databases, object storage, and Kubernetes for running modern applications. The platform emphasizes zero egress fees, allowing businesses to move data freely without incurring additional costs. American Cloud positions itself as a provider focused on independence, giving users full control over their software, data, and infrastructure. It also provides reliable technical support with direct access to knowledgeable engineers. The platform includes features like auto-scaling, load balancing, and managed WordPress hosting to simplify operations. American Cloud supports seamless migration from other providers through structured processes that minimize downtime. Overall, it delivers a flexible and cost-effective alternative to traditional cloud providers. -
14
Espresso AI
Espresso AI
Espresso AI is a data-warehouse optimization system built to reduce the compute and query costs of platforms like Snowflake and Databricks SQL by deploying machine-learning agents that manage scaling, scheduling, and query rewriting in real time. It layers three core agents; an autoscaling agent that predicts workload spikes and minimizes idle compute, a scheduling agent that routes queries dynamically across clusters to maximize utilization and significantly reduce idle time, and a query agent that rewrites SQL using large language models combined with formal verification to ensure equivalent results while improving efficiency. It offers fast deployment (minutes rather than months) and a pricing model tied to savings, so that if it does not reduce your bill, you don’t pay. By automating hundreds of thousands of optimization decisions per day, Espresso AI provides dramatic cost reductions while enabling engineering teams to focus on value-add features. -
15
Neon
Neon
The fully managed multi-cloud Postgres with a generous free tier. We separated storage and computing to offer autoscaling, branching, and bottomless storage. We separated storage and computing to make on-demand scalability possible. Compute activates on an incoming connection and scales to zero when not in use. Neon storage uses the "copy-on-write" technique to deliver data branching, online checkpointing, and point-in-time restore. This eliminates expensive full-data backup and restore operations required with traditional database-as-a-service systems. Neon allows you to instantly branch your Postgres database to support modern development workflows. You can create branches for test environments and for every deployment in your CI/CD pipeline. Our serverless architecture reduces computing and storage expenses. Specifically, Neon's autoscaling capabilities prevent over-provisioning and paying for under-utilized instances. -
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Ekinox
Ekinox
Ekinox is a visual AI automation platform that enables users to build, deploy, and manage AI-driven workflows without writing code; through its intuitive drag-and-drop canvas, you can design intelligent agents that connect to more than 100 pre-built integrations and trigger actions across a wide array of productivity, data, and communication tools. The platform supports real-time processing and collaboration, providing team workspaces, version control, and instant deployment. It features enterprise-grade security with SOC 2 compliance, bank-grade encryption, custom API connector support, and advanced access controls. Users can monitor workflows via analytics dashboards, track cost and performance across models and integrations, and scale with predictive auto-scaling and log retention. With setup times measured in minutes rather than months, Ekinox streamlines everything from simple task automation.Starting Price: $30 per month -
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agnexus
agnexus
Agnexus is a platform for deploying, hosting, managing, and scaling Model Context Protocol (MCP) servers, which act as standardized interfaces that let AI agents such as Claude, ChatGPT, or other LLM-based systems reliably access real data sources and services so agents can perform real tasks with context. It provides one-click deployment of MCP servers by uploading code or connecting GitHub repositories and handles the infrastructure, configuration, and backend operations, so developers and teams don’t need to set up Docker, Kubernetes, or cloud DevOps manually. It is model-agnostic by design, meaning MCP servers deployed through Agnexus can work with any agent that implements MCP, and users get enterprise-grade hosting features such as auto-scaling, uptime SLAs, secure access keys with granular permissions, analytics, and monitoring for usage and performance.Starting Price: €29 per month -
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Salt AI
Salt AI
Don't waste time setting up your IDE or working around nodes you can't run. We manage dependencies and offer free GPUs, so you can focus on building. Don't be constrained by a single machine. Our proprietary autoscaling infrastructure scales up to meet demand and scales down to save cost. The fastest way to build, share and scale Comfy UI workflows. -
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FinetuneFast
FinetuneFast
FinetuneFast is your ultimate solution for finetuning AI models and deploying them quickly to start making money online with ease. Here are the key features that make FinetuneFast stand out: - Finetune your ML models in days, not weeks - The ultimate ML boilerplate for text-to-image, LLMs, and more - Build your first AI app and start earning online fast - Pre-configured training scripts for efficient model training - Efficient data loading pipelines for streamlined data processing - Hyperparameter optimization tools for improved model performance - Multi-GPU support out of the box for enhanced processing power - No-Code AI model finetuning for easy customization - One-click model deployment for quick and hassle-free deployment - Auto-scaling infrastructure for seamless scaling as your models grow - API endpoint generation for easy integration with other systems - Monitoring and logging setup for real-time performance tracking -
20
Spot Ocean
Spot by NetApp
Spot Ocean lets you reap the benefits of Kubernetes without worrying about infrastructure while gaining deep cluster visibility and dramatically reducing costs. The key question is how to use containers without the operational overhead of managing the underlying VMs while also take advantage of the cost benefits associated with Spot Instances and multi-cloud. Spot Ocean is built to solve this problem by managing containers in a “Serverless” environment. Ocean provides an abstraction on top of virtual machines allowing to deploy Kubernetes clusters without the need to manage the underlying VMs. Ocean takes advantage of multiple compute purchasing options like Reserved and Spot instance pricing and failover to On-Demand instances whenever necessary, providing 80% reduction in infrastructure costs. Spot Ocean is a Serverless Compute Engine that abstracts the provisioning (launching), auto-scaling, and management of worker nodes in Kubernetes clusters. -
21
Constellation
Edgeless Systems
Constellation is a CNCF-certified Kubernetes distribution that leverages confidential computing to encrypt and isolate entire clusters, protecting data at rest, in transit, and during processing, by running control and worker planes within hardware-enforced trusted execution environments. It ensures workload integrity through cryptographic certificates and supply-chain security mechanisms (SLSA Level 3, sigstore-based signing), passes Center for Internet Security Kubernetes benchmarks, and uses Cilium with WireGuard for granular eBPF traffic control and end-to-end encryption. Designed for high availability and autoscaling, Constellation delivers near-native performance on all major clouds and supports rapid setup via a simple CLI and kubeadm interface. It implements Kubernetes security updates within 24 hours, offers hardware-backed attestation and reproducible builds, and integrates seamlessly with existing DevOps tools through standard APIs.Starting Price: Free -
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FPT Cloud
FPT Cloud
FPT Cloud is a next‑generation cloud computing and AI platform that streamlines innovation by offering a robust, modular ecosystem of over 80 services, from compute, storage, database, networking, and security to AI development, backup, disaster recovery, and data analytics, built to international standards. Its offerings include scalable virtual servers with auto‑scaling and 99.99% uptime; GPU‑accelerated infrastructure tailored for AI/ML workloads; FPT AI Factory, a comprehensive AI lifecycle suite powered by NVIDIA supercomputing (including infrastructure, model pre‑training, fine‑tuning, model serving, AI notebooks, and data hubs); high‑performance object and block storage with S3 compatibility and encryption; Kubernetes Engine for managed container orchestration with cross‑cloud portability; managed database services across SQL and NoSQL engines; multi‑layered security with next‑gen firewalls and WAFs; centralized monitoring and activity logging. -
23
Prefect
Prefect
Prefect is a workflow orchestration and automation platform designed for the modern context-driven era. It enables teams to turn Python functions into production-ready workflows with minimal effort. Prefect provides open-source foundations alongside managed platforms for enterprise-scale automation. The platform supports building and orchestrating data pipelines, workflows, and AI applications with full observability. Prefect Cloud offers managed orchestration with autoscaling, enterprise authentication, and built-in governance. Prefect Horizon extends automation to AI infrastructure by enabling deployment of MCP servers for AI agents. Trusted by leading organizations, Prefect helps teams scale automation without operational complexity. -
24
k0s
Mirantis
k0s is the simple, solid & certified Kubernetes distribution that works on any infrastructure: bare-metal, on-premises, edge, IoT, public & private clouds. It's 100% open source & free. Zero Friction - k0s drastically reduces the complexity of installing and running a fully conformant Kubernetes distribution. New kube clusters can be bootstrapped in minutes. Developer friction is reduced to zero, allowing anyone, with no special skills or expertise in Kubernetes to easily get started. Zero Deps - k0s is distributed as a single binary with zero host OS dependencies besides the host OS kernel. It works with any operating system without additional software packages or configuration. Any security vulnerabilities or performance issues can be fixed directly in the k0s distribution. Zero Cost - k0s is completely free for personal or commercial use, and it always will be. The source code is available on GitHub under Apache 2 license.Starting Price: $0 -
25
BotKube
BotKube
BotKube is a messaging bot for monitoring and debugging Kubernetes clusters. It's built and maintained by InfraCloud. BotKube can be integrated with multiple messaging platforms like Slack, Mattermost, Microsoft Teams to help you monitor your Kubernetes cluster(s), debug critical deployments and gives recommendations for standard practices by running checks on the Kubernetes resources. BotKube watches Kubernetes resources and sends a notification to the channel if any event occurs for example ImagePullBackOff error. You can customize the objects and level of events you want to get from the Kubernetes cluster. You can turn on/off notifications. BotKube can execute kubectl commands on the Kubernetes cluster without giving access to Kubeconfig or underlying infrastructure. With BotKube you can debug your deployment, services or anything about your cluster right from your messaging window. -
26
Edka
Edka
Edka automates the creation of a production‑ready Platform as a Service (PaaS) on top of standard cloud virtual machines and Kubernetes. It reduces the manual effort required to run applications on Kubernetes by providing preconfigured open source add-ons that turn a Kubernetes cluster into a full-fledged PaaS. Edka simplifies Kubernetes operations by organizing them into layers: Layer 1: Cluster provisioning – A simple UI to provision a k3s-based cluster. You can create a cluster in one click using the default values. Layer 2: Add-ons - One-click deploy for metrics-server, cert-manager, and various operators; preconfigured for Hetzner, no extra setup required. Layer 3: Applications - Minimal config UIs for apps built on top of add-ons. Layer 4: Deployments - Edka updates deployments automatically (with semantic versioning rules), supports instant rollbacks, autoscaling, persistent volumes, secrets/env imports, and quick public exposure.Starting Price: €0 -
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KubeArmor
AccuKnox
KubeArmor is a cloud-native runtime security enforcement engine designed for Kubernetes workloads, containers, and virtual machines. It leverages eBPF and Linux Security Modules (LSMs) like AppArmor and SELinux to preemptively harden workloads and prevent attacks without modifying pods or containers. KubeArmor enforces real-time policy-based controls on process behavior, file access, networking, and resource usage. It simplifies complex security settings by providing Kubernetes-native policy management and detailed policy violation logging. Installation is straightforward via Helm charts, and it integrates seamlessly with multiple cloud marketplaces. KubeArmor’s proactive inline mitigation approach improves security beyond traditional post-attack responses.Starting Price: Free -
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Azure Cloud Services
Microsoft
Build the web and cloud applications you need on your terms while using the many languages we support. Simplify the management of your applications with cloud services while ensuring high availability. Scale your environment automatically based on demand and reduce costs. Automate operating system and application updates to increase security. Take advantage of integrated health monitoring and load balancing. Focus on your application, not the underlying cloud infrastructure. Highly available and massively scalable platform for your applications and APIs. Accelerated application deployment. Autoscaling of your cloud environment to optimize costs and improve performance. Integrated health monitoring and load balancing with dashboards and real-time alerts. Excellent development experience using the Azure SDK, which integrates seamlessly with Visual Studio. Build and deploy powerful web and cloud applications and services in minutes with Azure Cloud Services. -
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Google Cloud Load Balancer
Google
Scale your applications on Compute Engine from zero to full throttle with Cloud Load Balancing, with no pre-warming needed. Distribute your load-balanced compute resources in single or multiple regions—close to your users—and to meet your high availability requirements. Cloud Load Balancing can put your resources behind a single anycast IP and scale your resources up or down with intelligent autoscaling. Cloud Load Balancing comes in a variety of flavors and is integrated with Cloud CDN for optimal application and content delivery. With Cloud Load Balancing, a single anycast IP front-ends all your backend instances in regions around the world. It provides cross-region load balancing, including automatic multi-region failover, which gently moves traffic in fractions if backends become unhealthy. In contrast to DNS-based global load balancing solutions, Cloud Load Balancing reacts instantaneously to changes in users, traffic, network, backend health, and other related conditions.Starting Price: $0.025 per hour -
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PeerDB
PeerDB
If Postgres is at the core of your business and is a major source of data, PeerDB provides a fast, simple, and cost-effective way to replicate data from Postgres to data warehouses, queues, and storage. Designed to run at any scale, and tailored for data stores. PeerDB uses replication messages from the Postgres replication slot to replay the schema messages. Alerts for slot growth and connections. Native support for Postgres toast columns and large JSONB columns for IoT. Optimized query design to reduce warehouse costs; particularly useful for Snowflake and BigQuery. Support for partitioned tables via both publish. Blazing fast and consistent initial load by transaction snapshotting and CTID scans. High-availability, in-place upgrades, autoscaling, advance logs, metrics and monitoring dashboards, burstable instance types, and suitable for dev environments.Starting Price: $250 per month -
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Cake AI
Cake AI
Cake AI is a comprehensive AI infrastructure platform that enables teams to build and deploy AI applications using hundreds of pre-integrated open source components, offering complete visibility and control. It provides a curated, end-to-end selection of fully managed, best-in-class commercial and open source AI tools, with pre-built integrations across the full breadth of components needed to move an AI application into production. Cake supports dynamic autoscaling, comprehensive security measures including role-based access control and encryption, advanced monitoring, and infrastructure flexibility across various environments, including Kubernetes clusters and cloud services such as AWS. Its data layer equips teams with tools for data ingestion, transformation, and analytics, leveraging tools like Airflow, DBT, Prefect, Metabase, and Superset. For AI operations, Cake integrates with model catalogs like Hugging Face and supports modular workflows using LangChain, LlamaIndex, and more. -
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Cloud Ops Group
Cloud Ops Group
Increase on-demand access to production, development, and test environments that allow you to innovate better, accelerate delivery of the application and streamline delivery to production. We design and implement infrastructure in the cloud to serve your business needs of today and tomorrow. We specialize in designing Web-scale architectures that are load-balanced, auto-scaled, self-healing, and cost-effective. You pay for only the resources you need while still responding to spikes in demand. We embrace the Infrastructure as Code philosophy to ensure infrastructure that is self-documenting, versioned, and automatic. Gain the insights into your applications to identify performance bottle-necks, understand resource requirements, automatically scale if and when needed, and alert appropriate stakeholders. We work with your developers to develop your application's build and deployment pipeline. -
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Cloudflare Workers
Cloudflare
You write code. We handle the rest. Deploy serverless code instantly across the globe to give it exceptional performance, reliability, and scale. No more configuring auto-scaling, load balancers, or paying for capacity you don’t use. Traffic is automatically routed and load balanced across thousands of servers. Sleep well as your code scales effortlessly. Every deploy is made to a network of data centers running V8 isolates. Your code is powered by Cloudflare’s network which is milliseconds away from virtually every Internet user. Choose from a template in your language to kickstart building an app, creating a function, or writing an API. We have templates, tutorials, and a CLI to get you up and running in no time. Most serverless platforms experience a cold start every time you deploy or your service increases in popularity. Workers can run your code instantly, without cold starts. The first 100,000 requests each day are free and paid plans start at just $5/10 million requests.Starting Price: $5 per 10 million requests -
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Zerops
Zerops
Zerops.io is a cloud platform designed for developers building modern applications, offering automatic vertical and horizontal autoscaling, granular control over resources, and no vendor lock-in. It simplifies infrastructure management with features like automated backups and failover, CI/CD integration, and full observability. Zerops.io scales seamlessly with your project’s needs, ensuring optimal performance and cost-efficiency from development to production, all while supporting microservices and complex architectures. Ideal for developers who want flexibility, scalability, and powerful automation without the complexity.Starting Price: $0 -
35
Kraken CI
Michal Nowikowski
Modern CI/CD, open-source, on-premise system that is highly scalable and focused on testing. Features: - flexible workflow planning using Starlark/Python - distributed building and testing - various executors: bare metal, Docker, LXD - highly scalable to thousands of executors - sophisticated test results analysis - integrated with AWS EC2 and ECS, Azure VM, with autoscaling - supported webhooks from GitHub, GitLab and Gitea - email and Slack notificationsStarting Price: free -
36
Zoho Creator
Zoho
Zoho Creator is an all-in-one, AI-powered low-code platform that helps businesses digitize operations with an intuitive and visual approach to app development. Businesses of all sizes use Zoho Creator to automate processes, modernize legacy systems, and accelerate digital transformation, all without extensive coding. The platform combines AI, business intelligence, and advanced analytics to provide actionable insights. Its unified data model and auto-scaling features ensure reliable app performance as your business expands. The multi-platform builder supports development for web, mobile, and tablet devices from a single build. Create forms, collect data, automate workflows, generate reports, and turn your ideas into fully functional apps. Try Zoho Creator for free!Starting Price: $8/user/month/annually -
37
Viduli
Viduli
Viduli empowers developers to deploy production-ready applications in minutes without DevOps expertise. Supporting 40+ languages and frameworks—from Python and Node.js to Go, Ruby, Java, and beyond—our platform eliminates complex configurations and steep learning curves. Core Services: Ignite - Deploy any application with zero configuration. Features automatic CI/CD from GitHub, auto-scaling, load balancing, health checks, and multi-region deployment. Every push triggers instant deployment. Orbit - Enterprise-grade managed databases in PostgreSQL. Built-in automated backups, point-in-time recovery, and read replicas ensure your data is always protected and performant. Flash - High-performance caching with Redis. Sub-millisecond latency, automatic failover, and data persistence accelerate your applications.Starting Price: $5/month -
38
DCHQ
DCHQ
The hosted platform is perfect for development teams that are quickly growing and looking to automate the deployment, life-cycle management and monitoring of applications to reduce the cost of replicating applications in DEV/TEST environments. Websites, such as PayPal casino available in Canada require modern solutions with automation of thousands daily transactions. Dedicated PayPal finance team controls deposits and withdrawals stored in cloud applications, improving time efficiency. Out-of-box integrations with private and public cloud platforms to automate the provisioning and auto-scaling of virtual infrastructure used for Docker-based application deployments. Summarizing the performance of clusters, hosts & running containers with support of alerts & auto-healing.Starting Price: $100 per month -
39
Azure Application Gateway
Microsoft
Protect your applications from common web vulnerabilities such as SQL injection and cross-site scripting. Monitor your web applications using custom rules and rule groups to suit your requirements and eliminate false positives. Get application-level load-balancing services and routing to build a scalable and highly available web front end in Azure. Autoscaling offers elasticity by automatically scaling Application Gateway instances based on your web application traffic load. Application Gateway is integrated with several Azure services. Azure Traffic Manager supports multiple-region redirection, automatic failover, and zero-downtime maintenance. Use Azure Virtual Machines, virtual machine scale sets, or the Web Apps feature of Azure App Service in your back-end pools. Azure Monitor and Azure Security Center provide centralized monitoring and alerting, and an application health dashboard. Key Vault offers central management and automatic renewal of SSL certificates.Starting Price: $18.25 per month -
40
Crewship
Crewship
Crewship is the developer-first platform for deploying AI agent workflows. Deploy your CrewAI, LangGraph, and LangGraph.js agents with a single command and watch them execute in real-time. Key features include one-command deployment, real-time execution streaming, artifact management, auto-scaling, version control, and encrypted secrets management. Crewship handles infrastructure so developers can focus on building great AI agents. Multi-framework support with AutoGen, Pydantic AI, smolagents, OpenAI Agents, Mastra, and Agno coming soon.Starting Price: Free -
41
PowerGridRx
PipelineRx
PowerGridRx is the industry’s only, cloud-based enterprise platform designed exclusively for end-to-end clinical medication management. Whether you are a community hospital, a large IDN, or a specialized facility, our medication order management system can help you optimize and transform your pharmacy—and amplify its impact on patient care. Paired with our telepharmacy services and clinical solutions, our remote medication order entry software helps healthcare facilities create new delivery models to gain greater efficiency, better cost control, and improved patient outcomes. This is what has made PipelineRx one of the fastest growing pharmacy technology and services providers in the U.S. Our cloud-based platform provides you with the best in security and HIPAA compliance. Optimal performance monitoring and auto-scaling combine to deliver stability—and peace of mind. -
42
Vybog
Vybog
Vybog facilitates effective management of critical tasks in a business, by collecting, analyzing, and acting on data, thereby, considerably reducing data storage & labor costs, improving data security and usage, and creating a differentiated customer experience through edge computing, artificial intelligence, machine learning, IoT, biometrics, hybrid, and auto-scaling technologies. Our goal is to achieve flawless execution to augment operational excellence and optimize revenue generation to benefit the network of suppliers, customers, and investors, as well as boost employee morale. To sum up, we focus on augmenting human productivity; and attaining high and expedited ROI that will in due course elevate a society, which in turn will have a cascading and prolific impact on the entire world. -
43
eApps
eApps
Enterprise-grade "virtual data center" platform for admin, deployment and operation of advanced web services. For multiple servers, complex deployments, geo-spanning, DR/HA configurations, and more. Latest spec Hypervisors and fast, expandable SSD block storage. Fast, solid platform for websites, web apps, and web services. Supports large, custom-sized virtual servers, adjustable at any time. Handles heavy workloads using the latest spec Hypervisors and fast, expandable SSD block storage. Next-generation platform for development, rapid deployment, and operation of critical apps. Superior Vertical/Horizontal autoscaling. Strong Java, PHP, Ruby, Python, Node.js, Golan, Docker, and Kubernetes support. Our platforms have included, and optional, services that are designed to ensure security, performance, uptime, and worry-free operation. We offer custom solutions for your requirements. Let us solve your backup, VPN, high uptime, and data protection needs. -
44
Pravega
Pravega
Distributed messaging systems such as Kafka and Pulsar have provided modern Pub/Sub infrastructure well suited for today’s data-intensive applications. Pravega further enhances this popular programming model and provides a cloud-native streaming infrastructure, enabling a wider swath of applications. Pravega streams are durable, consistent, and elastic, while natively supporting long-term data retention. Pravega solves architecture-level problems that former topic-based systems Kafka and Pulsar have failed to solve, such as auto-scaling of partitions or maintaining high performance for a large number of partitions. It enhances the range of supported applications by efficiently handling both small events as in IoT and larger data as in videos for computer vision/video analytics. By providing abstractions beyond streams, Pravega also enables replicating application state and storing key-value pairs. -
45
IDX
IDX
The only consumer privacy and identity platform built for agility in the digital age. Let us take work off your plate. We'll streamline platform integration, program rollout, and customer communication. The robust and feature-rich APIs we develop in-house are the same we give to our development partners and are fully supported by the IDX team. Every day we provide flexible solutions for our clients with an industry-first advanced cloud-native platform. Utilizing the latest in microservices architecture we deliver an easy-to-use, highly scalable, and secure environment. Platform load-balancing and auto-scaling capabilities enable us to meet high availability standards. Delivering exceptional data integrity with virtually no downtime. Built to meet the rigorous demands of Fortune 500 companies and the highest levels of government, our flexible, scalable solutions are trusted by organizations and their advisors across healthcare, commercial enterprise, financial, and higher education.Starting Price: $8.96 per month -
46
NVIDIA DGX Cloud Serverless Inference is a high-performance, serverless AI inference solution that accelerates AI innovation with auto-scaling, cost-efficient GPU utilization, multi-cloud flexibility, and seamless scalability. With NVIDIA DGX Cloud Serverless Inference, you can scale down to zero instances during periods of inactivity to optimize resource utilization and reduce costs. There's no extra cost for cold-boot start times, and the system is optimized to minimize them. NVIDIA DGX Cloud Serverless Inference is powered by NVIDIA Cloud Functions (NVCF), which offers robust observability features. It allows you to integrate your preferred monitoring tools, such as Splunk, for comprehensive insights into your AI workloads. NVCF offers flexible deployment options for NIM microservices while allowing you to bring your own containers, models, and Helm charts.
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47
RPC Fast
RPC Fast
If you are spending $2+K on a blockchain API infrastructure and sending hundreds of requests per second, you might be interested in cost optimization. And that is where we can help by providing you the fastest access to blockchain infrastructure through JSON-RPC endpoint on your own secure environment. Why RPC Fast, a self-hosted cluster with geo-distributed blockchain nodes, can be helpful in your case? - Ultra-speedy geo-distributed infrastructure with 90+ zones available and 100% healthy nodes. - 99.99% uptime and average 85.6 millisecond latency from just about anywhere. - PredictKube under the hood, an AI model trained to predict the traffic trend and autoscale infrastructure capacities accordingly, based on your historical data and business metrics. - A self-hosted solution, that will insure maximum security for your blockchain infrastructure.Starting Price: $0 -
48
fal
fal.ai
fal is a serverless Python runtime that lets you scale your code in the cloud with no infra management. Build real-time AI applications with lightning-fast inference (under ~120ms). Check out some of the ready-to-use models, they have simple API endpoints ready for you to start your own AI-powered applications. Ship custom model endpoints with fine-grained control over idle timeout, max concurrency, and autoscaling. Use common models such as Stable Diffusion, Background Removal, ControlNet, and more as APIs. These models are kept warm for free. (Don't pay for cold starts) Join the discussion around our product and help shape the future of AI. Automatically scale up to hundreds of GPUs and scale down back to 0 GPUs when idle. Pay by the second only when your code is running. You can start using fal on any Python project by just importing fal and wrapping existing functions with the decorator.Starting Price: $0.00111 per second -
49
BTCTrader
BTCTrader
Our solution supports any language, currency, and it is tailored to fit each target market’s KYC/AML laws and regulations. Integration with payment service providers and third-party services. BTCTrader’s white label exchange platform is offered entirely as a service, meaning our partners will not have any technical and infrastructural responsibilities. Our platform comes equipped with liquidity ‘in-hand’ on crypto-crypto pairs meaning that our partner’s exchanges have access to a dynamic order book from the moment their site goes live. BTCTrader provides extensive front-end and back-end security measures. Conducting regular penetration tests and audits with the credible firms. The cloud hosting option provides high availability and smooth auto-scaling management for consistent user experience. -
50
Azure Databricks
Microsoft
Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).
