Alternatives to IBM Cloud Code Engine
Compare IBM Cloud Code Engine alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to IBM Cloud Code Engine in 2026. Compare features, ratings, user reviews, pricing, and more from IBM Cloud Code Engine competitors and alternatives in order to make an informed decision for your business.
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Site24x7
ManageEngine
ManageEngine Site24x7 is a comprehensive observability and monitoring solution designed to help organizations effectively manage their IT environments. It offers monitoring for back-end IT infrastructure deployed on-premises, in the cloud, in containers, and on virtual machines. It ensures a superior digital experience for end users by tracking application performance and providing synthetic and real user insights. It also analyzes network performance, traffic flow, and configuration changes, troubleshoots application and server performance issues through log analysis, offers custom plugins for the entire tech stack, and evaluates real user usage. Whether you're an MSP or a business aiming to elevate performance, Site24x7 provides enhanced visibility, optimization of hybrid workloads, and proactive monitoring to preemptively identify workflow issues using AI-powered insights. Monitoring the end-user experience is done from more than 130 locations worldwide.Starting Price: $9.00/month -
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Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.
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AWS Fargate
Amazon
AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). Fargate makes it easy for you to focus on building your applications. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Fargate allocates the right amount of compute, eliminating the need to choose instances and scale cluster capacity. You only pay for the resources required to run your containers, so there is no over-provisioning and paying for additional servers. Fargate runs each task or pod in its own kernel providing the tasks and pods their own isolated compute environment. This enables your application to have workload isolation and improved security by design. -
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Amazon EKS
Amazon
Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications. -
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Cloud Foundry ensures that the build and deploy aspects of coding remain carefully coordinated with any attached services — resulting in quick, consistent and reliable iterating of applications. As an industry-standard platform as a service (PaaS), Cloud Foundry ensures the fastest, easiest and most reliable deployment of cloud-native applications. IBM offers the Cloud Foundry PaaS in several hosting models, allowing you to customize your PaaS experience and balance a range of considerations, including price, deployment speed and security. Cloud Foundry includes runtimes for Java, Node.js, PHP, Python, Ruby, ASP.NET, Tomcat, Swift and Go. Community build packs are also available. Combined with DevOps services, the application runtimes enable a delivery pipeline that automates much of the iterative development process.
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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. -
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Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.
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Stacktape
Stacktape
Stacktape is a DevOps-free cloud framework that’s both powerful and easy at the same time. It allows you to develop, deploy and run applications on AWS. With 98% less configuration and without the need for DevOps or Cloud expertise. Unlike with other solutions, you can deploy both serverless (AWS lambda-based) and more traditional (container-based) applications. Stacktape also supports 20+ infrastructure components, including SQL databases, Load balancers, MongoDB Atlas clusters, Batch-jobs, Kafka topics, Redis clusters & more. Besides infrastructure management, Stacktape handles source code packaging, deployments, local/remote development, and much more. It also comes with a VScode extension and local development studio (GUI). Stacktape is a IaaC tool. A typical production-grade REST API is ~30 lines of config (compared to ~600-800 lines of CloudFormation/Terraform). The deployment can be done using a single command - from local machine or a CI/CD pipeline.Starting Price: $450/month -
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The only real-time, analytics-driven multicloud monitoring solution for all environments (formerly SignalFx). Monitor any environment on a massively scalable streaming architecture. Open, flexible data collection and rapid visualizations of services in seconds. Purpose built for ephemeral and dynamic cloud-native environments at any scale (e.g., Kubernetes, container, serverless). Detect, visualize and resolve issues as soon as they arise. Monitor infrastructure performance in real-time at cloud scale through predictive streaming analytics. Over 200 pre-built integrations for cloud services and out-of-the-box dashboards for rapid visualization of your entire stack. Autodiscover, breakdown, group, and explore clouds, services and systems. Quickly and easily understand how your infrastructure behaves across different services, availability zones, Kubernetes clusters and more.
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IONOS Cloud Managed Kubernetes is a platform designed to orchestrate containerized applications through a fully automated Kubernetes environment that simplifies deployment, scaling, and management of container workloads. It enables users to quickly create and manage Kubernetes clusters and node pools without handling the complexity of the underlying infrastructure. It supports the automated setup of clusters on virtual servers and allows developers to configure hardware properties such as CPU type, number of CPUs per node, RAM, storage size, and storage performance to match specific workload requirements. It is built for distributed production environments and provides integrated persistent storage so that both stateless applications and stateful services can run reliably. Automatic scaling adjusts resources up or down depending on demand, maintaining consistent performance and availability during traffic spikes while preventing unnecessary overprovisioning.Starting Price: $0.05 per hour
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Google Cloud Dataflow
Google
Unified stream and batch data processing that's serverless, fast, and cost-effective. Fully managed data processing service. Automated provisioning and management of processing resources. Horizontal autoscaling of worker resources to maximize resource utilization. OSS community-driven innovation with Apache Beam SDK. Reliable and consistent exactly-once processing. Streaming data analytics with speed. Dataflow enables fast, simplified streaming data pipeline development with lower data latency. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Dataflow automates provisioning and management of processing resources to minimize latency and maximize utilization. -
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Azure Container Instances
Microsoft
Develop apps fast without managing virtual machines or having to learn new tools—it's just your application, in a container, running in the cloud. By running your workloads in Azure Container Instances (ACI), you can focus on designing and building your applications instead of managing the infrastructure that runs them. Deploy containers to the cloud with unprecedented simplicity and speed—with a single command. Use ACI to provision additional compute for demanding workloads whenever you need. For example, with the Virtual Kubelet, use ACI to elastically burst from your Azure Kubernetes Service (AKS) cluster when traffic comes in spikes. Gain the security of virtual machines for your container workloads, while preserving the efficiency of lightweight containers. ACI provides hypervisor isolation for each container group to ensure containers run in isolation without sharing a kernel. -
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OpenFaaS
OpenFaaS
Serverless functions, made simple. OpenFaaS® makes it simple to deploy both functions and existing code to Kubernetes. Avoid lock-in through the use of Docker. Run-on any public or private cloud. Build both microservices & functions in any language. Legacy code and binaries. Auto-scale for demand or to zero when idle. Bring your laptop, your own on-prem hardware, or create a cluster in the cloud. Let Kubernetes do the heavy lifting enabling you to build a scalable, fault-tolerant event-driven serverless platform for your applications. You can try out OpenFaaS in 60 seconds or write and deploy your first Python function in around 10-15 minutes. From there you can take the OpenFaaS workshop, a series of tried-and-tested self-paced labs which teach you everything you need to know about functions, and more. An ecosystem for sharing, reusing, and collaborating on functions. Reduce boilerplate code, and share code in the templates store. -
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Aqua
Aqua Security
Full lifecycle security for container-based and serverless applications, from your CI/CD pipeline to runtime production environments. Aqua runs on-prem or in the cloud, at any scale. Prevent them before they happen, stop them when they happen. Aqua Security’s Team Nautilus focuses on uncovering new threats and attacks that target the cloud native stack. By researching emerging cloud threats, we aspire to create methods and tools that enable organizations to stop cloud native attacks. Aqua protects applications from development to production, across VMs, containers, and serverless workloads, up and down the stack. Release and update software at DevOps speed with security automation. Detect vulnerabilities and malware early and fix them fast, and allow only safe artifacts to progress through your CI/CD pipeline. Protect cloud native applications by minimizing their attack surface, detecting vulnerabilities, embedded secrets, and other security issues during the development cycle. -
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With Red Hat OpenShift on IBM Cloud, OpenShift developers have a fast and secure way to containerize and deploy enterprise workloads in Kubernetes clusters. Because IBM manages OpenShift Container Platform (OCP), you'll have more time to focus on your core tasks. Automated provisioning and configuration of infrastructure (compute, network and storage), installation and configuration of OpenShift. Automatic scaling, backups and failure recovery for OpenShift configurations, components and worker nodes. Automatic upgrades of all components (operating system, OpenShift components, cluster services) and performance tuning and security hardening. Built-in security including image signing, image deployment enforcement, hardware trust, security patch management, and automatic compliance (HIPAA, PCI, SOC2, ISO).
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Serverless
Serverless
Declare AWS Lambda functions and their triggers through simple abstract syntax in YAML. AWS Lambda functions, triggers & code will be deployed and wired together in the cloud, automatically. Install thousands of Serverless Framework Plugins to build new serverless use-cases on AWS and integrate with other tools. Track usage, performance, errors on your serverless apps with instant, powerful metrics. See all of your serverless applications and their resources in one place, regardless of AWS account or region. Easily share secrets, outputs from your serverless applications and delegate AWS account access. You can deploy many familiar use-cases instantly with the Serverless Framework. From REST APIs on Node.js, Python, Go, Java, to GraphQL APIs, scheduled tasks, Express.js applications, and front-end applications.Starting Price: $20 per month -
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Cloud Foundry
Cloud Foundry
Cloud Foundry makes it faster and easier to build, test, deploy and scale applications, providing a choice of clouds, developer frameworks, and application services. It is an open source project and is available through a variety of private cloud distributions and public cloud instances. Cloud Foundry has a container-based architecture that runs apps in any programming language. Deploy apps to CF using your existing tools and with zero modification to the code. Instantiate, deploy, and manage high-availability Kubernetes clusters with CF BOSH on any cloud. By decoupling applications from infrastructure, you can make individual decisions about where to host workloads – on premise, in public clouds, or in managed infrastructures – and move those workloads as necessary in minutes, with no changes to the app. -
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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. -
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DxEnterprise
DH2i
DxEnterprise Smart High Availability is an infrastructure-agnostic software solution that simplifies management and network security for mission-critical SQL Server workloads across modern hybrid and multi-cloud environments. It frees organizations from vendor lock-in and gives them the power to create SQL Server Availability Group clusters containing any mix of OSes, containers, virtual machines, bare-metal, and cloud servers. Organizations unlock: - Granular database-level monitoring with intelligent automated failover - Nearest-to-zero SQL Server downtime for Windows, Linux, and containers - Easy stretch clusters across sites and clouds for robust disaster recovery Built-in Zero Trust Network Access tunneling allows users to securely deploy HA clusters that span from anywhere, to anywhere, without VPNs or direct links. DxEnterprise also comes standard with DxOperator by DH2i, Microsoft’s preferred Operator for Kubernetes (K8s) SQL Server deployments. -
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Google App Engine
Google
Scale your applications from zero to planet scale without having to manage infrastructure. Scale your applications from zero to planet scale without having to manage infrastructure. Stay agile with support for popular development languages and a range of developer tools. Build and deploy apps quickly using popular languages or bring your own language runtimes and frameworks. You can also manage resources from the command line, debug source code, and run API back ends easily. Focus on writing code without having to manage underlying infrastructure. Protect your apps from security threats using firewall capabilities, IAM rules, and managed SSL/ TLS certificates. Operate in a serverless environment without worrying about over or under provisioning. App Engine automatically scales depending on your app traffic and consumes resources only when your code is running. -
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Parasail
Parasail
Parasail is an AI deployment network offering scalable, cost-efficient access to high-performance GPUs for AI workloads. It provides three primary services, serverless endpoints for real-time inference, Dedicated instances for private model deployments, and Batch processing for large-scale tasks. Users can deploy open source models like DeepSeek R1, LLaMA, and Qwen, or bring their own, with the platform's permutation engine matching workloads to optimal hardware, including NVIDIA's H100, H200, A100, and 4090 GPUs. Parasail emphasizes rapid deployment, with the ability to scale from a single GPU to clusters within minutes, and offers significant cost savings, claiming up to 30x cheaper compute compared to legacy cloud providers. It supports day-zero availability for new models and provides a self-service interface without long-term contracts or vendor lock-in.Starting Price: $0.80 per million tokens -
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Managed Service for Apache Spark is a Google Cloud solution that simplifies running Apache Spark workloads with either serverless execution or fully managed clusters. It allows users to process large-scale data without needing to manage infrastructure, reducing operational complexity. The platform features Lightning Engine, which accelerates Spark performance by up to 4.9 times compared to open-source Spark. It supports data engineering, data science, and machine learning workflows at scale. Integration with Gemini enables AI-powered development, including automated code generation and troubleshooting. The service works seamlessly with open data formats like Apache Iceberg and integrates with tools like BigQuery and Knowledge Catalog. It offers flexible deployment options to suit different workloads and use cases. Overall, it provides a faster, smarter, and more efficient way to run Spark workloads in the cloud.
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Verda
Verda
Verda is a frontier AI cloud platform delivering premium GPU servers, clusters, and model inference services powered by NVIDIA®. Built for speed, scalability, and simplicity, Verda enables teams to deploy AI workloads in minutes with pay-as-you-go pricing. The platform offers on-demand GPU instances, custom-managed clusters, and serverless inference with zero setup. Verda provides instant access to high-performance NVIDIA Blackwell GPUs, including B200 and GB300 configurations. All infrastructure runs on 100% renewable energy, supporting sustainable AI development. Developers can start, stop, or scale resources instantly through an intuitive dashboard or API. Verda combines dedicated hardware, expert support, and enterprise-grade security to deliver a seamless AI cloud experience.Starting Price: $3.01 per hour -
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Azure Spring Apps
Microsoft
Azure Spring Apps is a fully managed service that helps Spring developers focus on code, not on infrastructure. Deploy any type of Spring app—including web apps, microservices, event-driven, serverless, and batch—without the need for Kubernetes. Take advantage of the Azure ecosystem while using your existing investments. Gain deep insights into application dependencies and operational telemetry using Azure monitor. Aggregate metrics for a topological view of how different services interact and see average performance and error rates. Easily identify the root cause of reliability issues and performance bottlenecks. Focus on what matters—your apps, business logic, and delivering value to your users. Deploy any type of Spring or Polyglot apps, either from source code or artifacts, with support for container creation and maintenance.Starting Price: $0.7136 per hour -
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Riverbed APM
Riverbed
Simplified high-definition APM visibility leveraging real user monitoring, synthetic monitoring, and OpenTelemetry, that is scalable, easy to use and deploy, and unifies insights across end users, applications, networks, and the cloud-native ecosystem. Microservices deployed in containers across dynamic cloud infrastructure have created a transient, distributed environment at a massive scale. The old ways of scaling APM, sampled transactions, incomplete traces, and aggregate metrics, are no longer working, and legacy APM tools fail to diagnose why crucial business applications are still slow or stalling. The Riverbed platform delivers unified visibility across the modern application ecosystem, is easy to deploy and manage, and results in faster troubleshooting for even the toughest performance problems. Riverbed APM is fully adapted to the cloud-native ecosystem delivering comprehensive monitoring and observability for transactions running on modern cloud and app infrastructure. -
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Pepperdata
Pepperdata, Inc.
Pepperdata autonomous cost optimization for data-intensive workloads such as Apache Spark is the only solution that delivers 30-47% greater cost savings continuously and in real time with no application changes or manual tuning. Deployed on over 20,000+ clusters, Pepperdata Capacity Optimizer provides resource optimization and full-stack observability in some of the largest and most complex environments in the world, enabling customers to run Spark on 30% less infrastructure on average. In the last decade, Pepperdata has helped top enterprises such as Citibank, Autodesk, Royal Bank of Canada, members of the Fortune 10, and mid-sized companies save over $250 million. -
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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. -
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Yugabyte
Yugabyte
The Leading High-Performance Distributed SQL Database. Open source, cloud native relational DB for powering global, internet-scale apps. Single-Digit Millisecond Latency Build blazing fast cloud applications by serving queries directly from the DB. Massive Scale. Achieve millions of transactions per second and store multiple TB’s of data per node. Geo-Distribution. Deploy across regions and clouds with synchronous or multi-master replication. Built for Cloud Native Architectures. Develop, deploy and operationalize modern applications faster than ever before with YugabyteDB. Gain Developer Agility. Leverage full power of PostgreSQL-compatible SQL and distributed ACID transactions. Operate Resilient Services. Ensure continuous availability even when underlying compute, storage or network fails. Scale On-Demand. Add and remove nodes at will. Say no to over-provisioned clusters forever. Lower User Latency. -
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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. -
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Targon
Manifold Labs
Targon is a confidential compute cloud for scaling workloads with high-speed GPUs and CPUs for AI training and deployments. It provides secure GPUs on lightning-fast infrastructure, with an easy-to-use API, SDK, and CLI for managing workloads across rentals, serverless apps, persistent volumes, web endpoints, and LLM inference. Targon is built around confidential compute without compromise, using a decentralized compute network of trusted execution environments. Its Targon Virtual Machine keeps data confidential with hardware-backed protection powered by Intel TDX, while NVIDIA Confidential Computing and NVIDIA PCIe Confidentiality help protect data on untrusted hardware. Users can deploy confidential compute, connect to a GPU server with configured SSH keys, or use serverless containers that automatically scale up and down based on traffic. -
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Beam Cloud
Beam Cloud
Beam is a serverless GPU platform designed for developers to deploy AI workloads with minimal configuration and rapid iteration. It enables running custom models with sub-second container starts and zero idle GPU costs, allowing users to bring their code while Beam manages the infrastructure. It supports launching containers in 200ms using a custom runc runtime, facilitating parallelization and concurrency by fanning out workloads to hundreds of containers. Beam offers a first-class developer experience with features like hot-reloading, webhooks, and scheduled jobs, and supports scale-to-zero workloads by default. It provides volume storage options, GPU support, including running on Beam's cloud with GPUs like 4090s and H100s or bringing your own, and Python-native deployment without the need for YAML or config files. -
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IronFunctions
Iron.io
IronFunctions is an open source serverless platform, also known as a Functions-as-a-Service (FaaS) platform, that allows developers to write functions in any language and deploy them across various environments, including public, private, and hybrid clouds. It supports AWS Lambda function formats, enabling seamless import and execution of existing Lambda functions. Designed for both developers and operators, IronFunctions simplifies coding by allowing the creation of small, focused functions without the need to manage the underlying infrastructure. Operators benefit from efficient resource utilization, as functions consume resources only during execution, and the platform's scalability is managed by adding more IronFunctions nodes as needed. It is built using Go and leverages container technologies to handle incoming workloads by spinning up new containers, processing the payloads, and returning responses.Starting Price: Free -
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Tigera
Tigera
Kubernetes-native security and observability. Security and observability as code for cloud-native applications. Cloud-native security as code for hosts, VMs, containers, Kubernetes components, workloads, and services to secure north-south and east-west traffic, enable enterprise security controls, and ensure continuous compliance. Kubernetes-native observability as code to collect real-time telemetry, enriched with Kubernetes context, for a live topographical view of interactions between components from hosts to services. Rapid troubleshooting with machine-learning powered anomaly and performance hotspot detection. Single framework to centrally secure, observe, and troubleshoot multi-cluster, multi-cloud, and hybrid-cloud environments running Linux or Window containers. Update and deploy policies in seconds to enforce security and compliance or resolve issues. -
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GMI Cloud
GMI Cloud
GMI Cloud provides a complete platform for building scalable AI solutions with enterprise-grade GPU access and rapid model deployment. Its Inference Engine offers ultra-low-latency performance optimized for real-time AI predictions across a wide range of applications. Developers can deploy models in minutes without relying on DevOps, reducing friction in the development lifecycle. The platform also includes a Cluster Engine for streamlined container management, virtualization, and GPU orchestration. Users can access high-performance GPUs, InfiniBand networking, and secure, globally scalable infrastructure. Paired with popular open-source models like DeepSeek R1 and Llama 3.3, GMI Cloud delivers a powerful foundation for training, inference, and production AI workloads.Starting Price: $2.50 per hour -
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Calico Cloud
Tigera
Pay-as-you-go security and observability SaaS platform for containers, Kubernetes, and cloud. Get a live view of dependencies and how all the services are communicating with each other in a multi-cluster, hybrid and multi-cloud environment. Eliminate setup and onboarding steps and troubleshoot your Kubernetes security and observability issues within minutes. Calico Cloud is a next-generation security and observability SaaS platform for containers, Kubernetes, and cloud. It enables organizations of all sizes to protect their cloud workloads and containers, detect threats, achieve continuous compliance, and troubleshoot service issues in real-time across multi-cluster, multi-cloud, and hybrid deployments. Calico Cloud is built on Calico Open Source, the most widely adopted container networking and security solution. Instead of managing a platform for container and Kubernetes security and observability, teams consume it as a managed service for faster analysis, relevant actions, etc.Starting Price: $0.05 per node hour -
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Elastigroup
Spot by NetApp
Provision, manage and scale compute infrastructure on any cloud. Save up to 80% on your costs while ensuring SLA and high-availability. Elastigroup is a cluster software, designed to optimize performance and costs. It enables companies of all sizes and verticals to reliably leverage Cloud Excess Capacity to optimize and accelerate workloads and save up to 90% on infrastructure compute costs. Elastigroup makes use of proprietary price prediction technology to deploy reliably onto Spot Instances. By predicting interruptions and fluctuations Elastigroup is able to offensively rebalance clusters to prevent interruption. Elastigroup reliably leverages excess capacity across all major cloud providers such as EC2 Spot Instances (AWS), Low-priority VMs (Microsoft Azure) and Preemptible VMs (Google Cloud), while removing risk and complexity, providing simple orchestration and management at scale. -
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Atatus
NamLabs Technologies
Atatus is a next-gen observability platform for modern, cloud-native systems, built for developers, DevOps engineers, and SREs who require deep visibility across applications and infrastructure. Trusted by organizations of all sizes and across diverse industries, Atatus provides a unified SaaS platform for comprehensive system monitoring. The platform combines metrics, logs, and traces to deliver full-stack observability across microservices, containers, and cloud environments. With distributed tracing, code-level performance analysis, and intelligent error detection, teams can pinpoint issues faster, understand system behavior, and minimize downtime. Atatus also delivers real-user experience and behavioral insights, helping teams connect application performance with how digital services are actually consumed.Starting Price: $49.00/month -
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Azure Linux
Microsoft
Linux on Azure helps teams build, deploy, and run applications on the Linux distribution of their choice using a proven cloud platform for Linux workloads. It supports open-source innovation with managed databases, scalable infrastructure, built-in code-to-cloud security, and the ability to automatically scale infrastructure to meet changing demands without compromising performance. Azure enables organizations to run Linux across virtual machines, containers, Kubernetes, hybrid environments, and open source database services, while supporting major Linux ecosystems such as Red Hat, Ubuntu, SUSE, and Azure Linux. Teams can provision Linux virtual machines in seconds, deploy and scale containers with Azure Kubernetes Service, use Azure Linux as a container host operating system for AKS, and dynamically scale virtual machine groups with Azure Virtual Machine Scale Sets.Starting Price: Free -
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Secure your container environment on GCP, GKE, or Anthos. Containerization allows development teams to move fast, deploy software efficiently, and operate at an unprecedented scale. As enterprises create more containerized workloads, security must be integrated at each stage of the build-and-deploy life cycle. Infrastructure security means that your container management platform provides the right security features. Kubernetes includes security features to protect your identities, secrets, and network, and Google Kubernetes Engine uses native GCP functionality—like Cloud IAM, Cloud Audit Logging, and Virtual Private Clouds—and GKE-specific features like application layer secrets encryption and workload identity to bring the best of Google security to your workloads. Securing the software supply chain means that container images are safe to deploy. This is how you make sure your container images are vulnerability free and that the images you build aren't modified.
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Yandex Serverless Containers
Yandex
Run containers without creating Kubernetes VMs or clusters. We handle the installation, maintenance, and administration of software and runtime environments. A standard way to create artifacts (images) in your CI/CD pipeline with no code refactoring required. Code in your preferred programming language. Use the tools you are familiar with for the most challenging tasks. Configure prepared container instances that will always be ready to handle any load. This mode of operation guarantees that there will be no cold starts, allowing you to quickly process any loads. Run containers on your VPC network to interact with virtual machines and manage databases without providing public access to them. Only pay for serverless data storage and operations. Special pricing for the service means the first 1,000,000 container calls each month are provided free of charge.Starting Price: $0.012240 per GB -
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OpenShift Cloud Functions
Red Hat
Red Hat Openshift Cloud Functions (OCF) is a FaaS - Function as a Service that can be deployed on Openshift and is based out of Knative a FaaS project in the Kubernetes community. It will enable developers to run code without needing to know anything about the underlying platform specifics. Developers need access to services faster, deploying backend services, platforms or applications can be time-consuming and tedious. This also means developers should not be restricted to any certain language or framework but also to create business value quickly and enhance services by way of FaaS i.e. Function as a Service that can scale a small unit of custom code while depending on other third-party/backend services. Serverless is an architectural model that provides an event-driven way to implement distributed applications that can auto-scale on demand. -
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Compute@Edge
Fastly
Fastly’s Compute@Edge offering allows you to build high scale, globally distributed applications and execute code at the edge — without having to manage the underlying infrastructure. Deploy and run complex logic for any application or backend service with our secure, performant, and scalable approach to serverless computing. Compute@Edge provides a 100x faster code execution startup time than other serverless solutions. Run your code on hundreds of servers located around the world simultaneously. There are no cold starts or roundtrip delays — just fast, always-on computing. Better end-user experiences are at the forefront of digital transformation. Write, deploy, and test your code on the Fastly edge using a powerful local development and debugging environment. From there, we manage everything required to scale it instantly and globally, as close to your end users as possible. -
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Karpenter
Amazon
Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. Karpenter is an open source, high-performance Kubernetes cluster autoscaler that simplifies infrastructure management by automatically launching the appropriate compute resources to handle your cluster's applications. Designed to leverage the full potential of the cloud, Karpenter enables fast and straightforward compute provisioning for Kubernetes clusters. It enhances application availability by swiftly responding to changes in application load, scheduling, and resource requirements, efficiently placing new workloads onto a variety of available computing resources. By identifying opportunities to remove under-utilized nodes, replace costly nodes with more economical alternatives, and consolidate workloads onto more efficient compute resources, Karpenter effectively reduces cluster compute costs.Starting Price: Free -
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IBM Cloud® Kubernetes Service is a certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud®. It provides intelligent scheduling, self-healing, horizontal scaling and securely manages the resources that you need to quickly deploy, update and scale applications. IBM Cloud Kubernetes Service manages the master, freeing you from having to manage the host OS, container runtime and Kubernetes version-update process.Starting Price: $0.11 per hour
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Amazon Elastic File System (Amazon EFS) automatically grows and shrinks as you add and remove files with no need for management or provisioning. Share code and other files in a secure, organized way to increase DevOps agility and respond faster to customer feedback. Persist and share data from your AWS containers and serverless applications with zero management required. Easier to use and scale, Amazon EFS offers the performance and consistency needed for machine learning and big data analytics workloads. Simplify persistent storage for modern content management system workloads. Get your products and services to market faster, more reliably, and securely at a lower cost. Create and configure shared file systems simply and quickly for AWS compute services, with no provisioning, deploying, patching, or maintenance required. Scale workloads on-demand to petabytes of storage and gigabytes per second of throughput out of the box.
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46
Covalent
Agnostiq
Covalent’s serverless HPC architecture allows you to easily scale jobs from your laptop to your HPC/Cloud. Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum computers, HPC clusters, GPU arrays, and cloud services. Covalent enables a researcher to run computation tasks on an advanced hardware platform – such as a quantum computer or serverless HPC cluster – using a single line of code. The latest release of Covalent includes two new feature sets and three major enhancements. True to its modular nature, Covalent now allows users to define custom pre- and post-hooks to electrons to facilitate various use cases from setting up remote environments (using DepsPip) to running custom functions.Starting Price: Free -
47
AiOpsX
XPLG
Deep Text Inspection, anomaly detection, clustering. Cutting edge AI that scans all log data and streams insights and alerts. ML clustering that detects new errors, unique risk KPI and more. Pattern recognition and discovery. Anomaly detection for data, risk and content monitoring. Integration with Logstash, ELK and others. AiOpsX deployed in minutes on any log data and augmentד existing monitoring and log analysis tools with millions of smart eyes. Security, performance, audit, errors & problems, trends, anomalies, and much more! Unique algorithms identify patterns and compute risk levels. Anomaly detection continuously scans risk level and performance data to identify outliers. The AiOpsX monitoring engine identifies new types of messages, errors, log volume changes, risk level spikes; and triggers reports and alerts for IT monitoring teams and app owners. -
48
Submariner
Submariner
As Kubernetes gains adoption, teams are finding they must deploy and manage multiple clusters to facilitate features like geo-redundancy, scale, and fault isolation for their applications. With Submariner, your applications and services can span multiple cloud providers, data centers, and regions. The Broker must be deployed on a single Kubernetes cluster. This cluster’s API server must be reachable by all Kubernetes clusters connected by Submariner. It can be a dedicated cluster, or one of the connected clusters. Once Submariner is deployed on a cluster with the proper credentials to the Broker it will exchange Cluster and Endpoint objects with other clusters (via push/pull/watching), and start forming connections and routes to other clusters. Worker node IPs on all connected clusters must be outside of the Pod/Service CIDR ranges. -
49
NVIDIA Cloud Functions
NVIDIA
NVIDIA Cloud Functions (NVCF) is a serverless API designed to deploy and manage AI workloads on GPUs, providing security, scalability, and reliability. It supports HTTP polling, HTTP streaming, and gRPC protocols for accessing workloads. Cloud Functions is primarily suited for shorter-running, preemptable workloads such as inferencing and fine-tuning. It supports two function types: "Container" and "Helm Chart", allowing users to define functions based on their specific requirements. Workloads are ephemeral and preemptable, so users should ensure they save their work appropriately. Models, containers, helm charts, and additional resources are hosted and pulled from the NGC Private Registry. To get started, users can follow the functions quickstart guide, which provides an end-to-end workflow for creating and deploying a container-based function using the fastapi_echo_sample container. -
50
Managed Service for PostgreSQL helps you deploy and maintain PostgreSQL server clusters in the Yandex Cloud infrastructure. You can deploy a ready-to-use cluster in just a few minutes. DB settings are optimized for the selected cluster size and you can change them if necessary. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. With a user-friendly interface and intuitive visualization, you can monitor the status of your PostgreSQL cluster and DB load. All DBMS connections are encrypted using the TLS protocol, and DB backups are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards.Starting Price: $40.09 per month
