Alternatives to Velda
Compare Velda alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Velda in 2026. Compare features, ratings, user reviews, pricing, and more from Velda competitors and alternatives in order to make an informed decision for your business.
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1
Google Cloud Platform
Google
Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging. -
2
Telepresence
Ambassador Labs
Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters. Why Telepresence: Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine. Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging. Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.Starting Price: Free -
3
AWS HPC
Amazon
AWS High Performance Computing (HPC) services empower users to execute large-scale simulations and deep learning workloads in the cloud, providing virtually unlimited compute capacity, high-performance file systems, and high-throughput networking. This suite of services accelerates innovation by offering a broad range of cloud-based tools, including machine learning and analytics, enabling rapid design and testing of new products. Operational efficiency is maximized through on-demand access to compute resources, allowing users to focus on complex problem-solving without the constraints of traditional infrastructure. AWS HPC solutions include Elastic Fabric Adapter (EFA) for low-latency, high-bandwidth networking, AWS Batch for scaling computing jobs, AWS ParallelCluster for simplified cluster deployment, and Amazon FSx for high-performance file systems. These services collectively provide a flexible and scalable environment tailored to diverse HPC workloads. -
4
Charg
Charg
Charg is an AI infrastructure lifecycle platform that transforms proven enterprise-grade supercomputing systems into scalable AI and high-performance computing cloud environments. Its public HPC cloud provides access to anything from a single GPU to a full 60+ PFLOPS cluster, giving teams supercomputing power without owning or managing the underlying hardware. It redeploys hyperscaler-class CRAY supercomputers and mature NVIDIA DGX architecture, combining clustered NVIDIA V100 GPUs with 200 GbE InfiniBand networking and petabytes of high-density all-flash CEPH storage for low-latency, high-throughput performance. Charg is built for demanding AI, scientific research, and engineering workloads, including model training, scaled inference, simulations, advanced data analysis, finite element analysis, and computational fluid dynamics. Its API-driven infrastructure scales with existing workflows and supports on-demand capacity without the operational restrictions.Starting Price: $0.99 per hour -
5
Ansys Cloud Direct
Ansys
Access Ansys Cloud Direct anywhere, anytime to obtain endless simulation capabilities compatible with most Ansys solvers. Engineering simulation has long been constrained by fixed computing resources available on a desktop or cluster. Ansys Cloud provides access to on-demand, cloud-based computing resources, including both interactive workstations and HPC clusters, for faster, high-fidelity results offering greater performance insight. Ansys Cloud increases simulation throughput by removing the hardware barrier. Ansys Cloud Direct is a scalable and cost-effective approach to HPC in the cloud. To leverage the combined benefits of cloud computing and best-in-class engineering simulation, Ansys partnered with Microsoft® Azure™ to create a secure cloud solution. Within Ansys Mechanical, Ansys Fluent, Ansys Electronics Desktop, Ansys SPEOS, Ansys Discovery, Ansys LS-Dyna, Ansys LST, Ansys CFX and Ansys Lumerical, you can easily access HPC in the cloud directly from the applications -
6
mogenius
mogenius
mogenius combines visibility, observability, and automation in a single platform for comprehensive Kubernetes control. Connect and visualize your Kubernetes clusters and workloads. Provide visibility for the entire team. Identify misconfigurations across your workloads. Take action directly within the mogenius platform. Automate your K8s operations with service catalogs, developer self-service, and ephemeral environments. Leverage developer self-service to simplify deployments for your developers. Optimize resource allocation and avoid configuration drift through standardized and automated workflows. Eliminate duplicate work and encourage reusability with service catalogs. Get full visibility into your current Kubernetes setup. Deploy a cloud-agnostic Kubernetes operator to receive a complete overview of what’s going on across your clusters and workloads. Provide developers with local and ephemeral testing environments in a few clicks that mirror your production setup.Starting Price: $350 per month -
7
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. -
8
Amazon EC2 UltraClusters
Amazon
Amazon EC2 UltraClusters enable you to scale to thousands of GPUs or purpose-built machine learning accelerators, such as AWS Trainium, providing on-demand access to supercomputing-class performance. They democratize supercomputing for ML, generative AI, and high-performance computing developers through a simple pay-as-you-go model without setup or maintenance costs. UltraClusters consist of thousands of accelerated EC2 instances co-located in a given AWS Availability Zone, interconnected using Elastic Fabric Adapter (EFA) networking in a petabit-scale nonblocking network. This architecture offers high-performance networking and access to Amazon FSx for Lustre, a fully managed shared storage built on a high-performance parallel file system, enabling rapid processing of massive datasets with sub-millisecond latencies. EC2 UltraClusters provide scale-out capabilities for distributed ML training and tightly coupled HPC workloads, reducing training times. -
9
WebContainers
WebContainers
WebContainers, developed by StackBlitz, are a browser-based runtime environment that enables the execution of Node.js applications and operating system commands directly within a web browser tab. This technology allows developers to build instant, interactive coding experiences, from tutorials to full-fledged integrated development environments, without the need for local setups or cloud-based virtual machines. By running entirely client-side, WebContainers offer unmatched user experiences with zero latency, offline capabilities, and enhanced security, as they eliminate the risks associated with server-side code execution. They support native Node.js toolchains, including npm, pnpm, and yarn, and are compatible with major modern frameworks. Additionally, WebContainers facilitate the running of WebAssembly (Wasm) out of the box, allowing for the porting of various languages and frameworks to the browser environment.Starting Price: $18 per month -
10
Radon
Software Mansion
Radon is a Visual Studio Code and Cursor extension that turns a code editor into a complete IDE for React Native and Expo apps. It helps developers build better apps faster by bringing previews, debugging, navigation, logs, network inspection, component inspection, device controls, and AI assistance directly into the editor. Radon runs the iOS Simulator and Android emulator inside the Visual Studio Code or Cursor project, so developers can see the app close to the codebase instead of constantly switching windows. It's built-in previews make it possible to develop components in isolation, while the element inspector lets users click an element in the preview and jump directly to the file where the React Native component is defined. The debugger supports React Native breakpoints inside Visual Studio Code with no extra setup, automatically stopping at runtime exceptions and showing the exact line of code where they happened.Starting Price: $21 per month -
11
Tugboat QA
Tugboat QA
Tugboat QA is an automated deploy preview platform that gives teams a working website or web app for every pull request, branch, or tag. Instead of waiting for a shared staging environment, a sprint demo, or a local setup, Tugboat automatically builds isolated, on-demand environments and posts a working Preview URL or deployment link directly into GitHub, GitLab, or Bitbucket pull requests. Each code branch can have its own custom environment, letting developers mix and match service versions or branches without reconfiguring the application. Tugboat helps remove code review bottlenecks by making it easier for developers, QA teams, stakeholders, and clients to view, test, and approve changes before they are merged. Inside each Preview, teams can access running services, service logs, build logs, output logs, Lighthouse reports, visual diffs, captured mail, preview statistics, and terminal access for troubleshooting or collaborative development.Starting Price: $39 per month -
12
theGist
theGist
theGist lets you Cut through your work noise with personalized summaries for Gmail and Slack. Summarize Slack channel and threads, on-demand or in a Daily Digest. Clear your inbox in seconds with an actionable categorized summary of your Gmail, directly from Slack. We don't change anything in your Gmail unless you actively do it yourself. Our AI quickly goes over your unread emails and clusters them out according to some easy-to-understand categories such as Promotional, Apps, Newsletters, and more. The Priority category is where your important emails will be. Each one is summarized for you, allowing you to quickly reply, ‘archive’ and more actions on each. In the other categories, you will get a summary of the category or subcategory of emails (e.g under Social you will see all the emails you got from Twitter, Facebook, etc.. that are clustered together and summarized) with batch actions like ‘mark as read’ to help you clear out non-important emails fast.Starting Price: $4.99 per user per month -
13
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 -
14
Wind River Simics
Wind River
With Wind River® Simics® you can simulate anything, chip to system, giving you a path to DevOps and continuous integration and deployment. Simics is a full-system simulator used by software developers to simulate the hardware of complex electronic systems. Simics allows on-demand and easy access to any target system, more efficient collaboration between developers, and more efficient and stable automation. With Simics you can adopt new development techniques that are simply not possible with physical hardware, enabling you to deliver better software faster. Simics enabled us to grow our automation by 12,000% and we can now fix bugs 90% faster. Watch the video to find out how the Wind River engineering team uses Simics in-house to make DevOps and CI/CD a reality. Wind River® Simics® allows developers to have on-demand access to any target system at any time. It enables more efficient collaboration between developers and quality assurance teams. -
15
TrinityX
Cluster Vision
TrinityX is an open source cluster management system developed by ClusterVision, designed to provide 24/7 oversight for High-Performance Computing (HPC) and Artificial Intelligence (AI) environments. It offers a dependable, SLA-compliant support system, allowing users to focus entirely on their research while managing complex technologies such as Linux, SLURM, CUDA, InfiniBand, Lustre, and Open OnDemand. TrinityX streamlines cluster deployment through an intuitive interface, guiding users step-by-step to configure clusters for diverse uses like container orchestration, traditional HPC, and InfiniBand/RDMA architectures. Leveraging the BitTorrent protocol, enables rapid deployment of AI/HPC nodes, accommodating setups in minutes. The platform provides a comprehensive dashboard offering real-time insights into cluster metrics, resource utilization, and workload distribution, facilitating the identification of bottlenecks and optimization of resource allocation.Starting Price: Free -
16
Tenor
Tenor
Tenor is an AI-powered leadership development platform that builds confident, capable managers with realistic, voice-based role-play simulations and personalized, on-demand coaching. The platform includes over 200+ prebuilt scenarios and supports custom simulations for conversations such as performance reviews, compensation discussions, conflict resolution, and team engagement. Each simulation delivers instant feedback, enabling leaders to refine their communication and leadership style in a safe, judgment-free environment. Tenor’s on-demand AI coach is grounded in your company’s leadership philosophy and integrates with tools like Microsoft Teams, Slack, LMS platforms, and email, so managers receive guidance directly in their flow of work. The platform is enterprise-ready, with SOC 2 Type II certification, robust data protection, and customizable permissions. -
17
Gefyra
Blueshoe
Building and pushing containers to test them in Kubernetes is repetitive and time-consuming. Writing and debugging code that depends on services in Kubernetes is daunting. Especially if they are not reachable during development. Gefyra is an Open Source project that runs local code in any Kubernetes cluster without the build and push cycle. It overlays containers in the cluster making code changes immediately available. Gefyra enables you to: - Run containers and talk to internal services on an external Kubernetes cluster - Operate feature-branches in a production-like Kubernetes environment with all adjacent services - Overlay Kubernetes cluster-internal services with you local container. - Leverage development clusters for multiple developers at the same time. - Write code in the IDE you already love - Leverage all the neat development features, such as debugger, code-hot-reloading, overriding - Run high-level integration tests against all dependent servicesStarting Price: free -
18
MPI for Python (mpi4py)
MPI for Python
Over the last years, high performance computing has become an affordable resource to many more researchers in the scientific community than ever before. The conjunction of quality open source software and commodity hardware strongly influenced the now widespread popularity of Beowulf class clusters and cluster of workstations. Among many parallel computational models, message-passing has proven to be an effective one. This paradigm is specially suited for (but not limited to) distributed memory architectures and is used in today’s most demanding scientific and engineering application related to modeling, simulation, design, and signal processing. However, portable message-passing parallel programming used to be a nightmare in the past because of the many incompatible options developers were faced to. Fortunately, this situation definitely changed after the MPI Forum released its standard specification.Starting Price: Free -
19
Azure Functions
Microsoft
Develop more efficiently with Functions, an event-driven serverless compute platform that can also solve complex orchestration problems. Build and debug locally without additional setup, deploy and operate at scale in the cloud, and integrate services using triggers and bindings. End-to-end development experience with integrated tools and built-in DevOps capabilities. Integrated programming model to respond to events and seamlessly connect to other services. Implement a variety of functions and scenarios, such as web apps and APIs with .NET, Node.js, or Java; machine learning workflows with Python; and cloud automation with PowerShell. Get a complete serverless application development experience—from building and debugging locally to deploying and monitoring in the cloud. -
20
Diploi
Diploi
Diploi is a developer platform that simplifies building, deploying, and hosting applications from start to production. It lets developers define their entire stack using reusable components and add-ons managed through a single YAML configuration. Diploi provides zero-install development environments that launch instantly without local setup. Developers can code directly in a browser-based IDE or connect their own IDE via SSH. The platform automatically configures GitHub integration and CI/CD pipelines. With one click, teams can create test, staging, or production environments. Diploi removes infrastructure friction so developers can focus on building software faster. -
21
HPE Ezmeral ML OPS
Hewlett Packard Enterprise
HPE Ezmeral ML Ops provides pre-packaged tools to operationalize machine learning workflows at every stage of the ML lifecycle, from pilot to production, giving you DevOps-like speed and agility. Quickly spin-up environments with your preferred data science tools to explore a variety of enterprise data sources and simultaneously experiment with multiple machine learning or deep learning frameworks to pick the best fit model for the business problems you need to address. Self-service, on-demand environments for development and test or production workloads. Highly performant training environments—with separation of compute and storage—that securely access shared enterprise data sources in on-premises or cloud-based storage. HPE Ezmeral ML Ops enables source control with out of the box integration tools such as GitHub. Store multiple models (multiple versions with metadata) for various runtime engines in the model registry. -
22
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. -
23
Shells
Shells
Shells provides you with a 1-click, powerful virtual desktop environment, driven by a cloud computer, without leaving your browser! It's your personal workspace in the cloud. Shells are virtual desktop cloud computers. Access Shells with any web-enabled device. Shells gives you the cloud for your computer! Shells are Intel powered cloud computers that are always on, just like a desktop computer. Additionally, you’ll never miss anything with push notifications! The one-device-life has arrived! Run full desktop software, including but not limited to desktop grade browsers, desktop grade office applications, and even software development, music and media production applications and much more! Shells lets you run multiple apps at the same time and position them however you want. There are no rules or restrictions here! Run anything you want, anywhere you want, in any way you want!Starting Price: $4.95 per month -
24
Uffizzi
Uffizzi
Uffizzi helps teams build internal developer platforms in minutes, not months, by providing out-of-the-box Kubernetes multi-tenancy, cluster virtualization and customizable templating. Standardize your workflows, while giving every developer access to self-service, ephemeral environments for development, testing, PRs, staging and more. Runs on your infrastructure or ours.Starting Price: $9/seat/month -
25
EngFlow
EngFlow
Software developers typically build source code and run tests on their local machines. EngFlow Remote Execution distributes builds and tests across a cluster of machines and remotely caches the results to make them faster. Review your build and test results on various devices, be it your workstation, laptop — or one of your colleague’s. It’s a game-changer for collaborating remotely. Console output is verbose and convoluted. We split data into views to highlight what you’re looking for. Just in case, one view includes the full console output, streamed live as your builds and tests run. Build and test setups vary on machines. We provide the invocation details for each execution, such as platform, git branch and commit, and implicit and explicit flags set. This lets you reproduce a run, both for debugging and for recreating a prior release. -
26
Flox
Flox
Flox is a development environment manager and package tool that lets developers define, share, and replicate consistent environments across machines by leveraging the Nix ecosystem. Flox lets you create environments via a simple manifest.toml, layering and replacing dependencies precisely where needed. It activates subshells with reproducible dependencies and integrates shell hooks, version constraints, and services (e.g., local databases) to automate setup. Because it runs on the host system (rather than inside containers), developers maintain access to files, configurations, SSH keys, and shell aliases without Docker-style bind mounts. Flox supports cross-platform and multi-architecture environments by default, allowing environments to run identically on various systems; you can constrain them to specific systems or use package groups to manage architecture-specific dependencies.Starting Price: $20 per month -
27
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. -
28
Apache Mesos
Apache Software Foundation
Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes. -
29
Radar
Radar
Radar is an open source Kubernetes visibility and observability tool designed to simplify how developers and DevOps teams interact with their clusters by providing a fast, unified interface for monitoring resources, events, and system behavior in real time. It runs as a lightweight single binary that can be executed locally or deployed inside a cluster, requiring no agents, cloud accounts, or additional infrastructure, and ensuring that all data stays within the user’s environment. It aggregates critical Kubernetes information, such as topology, workloads, Helm releases, GitOps resources, traffic flows, and event timelines, into a single visual dashboard, allowing users to quickly understand relationships between components like deployments, services, and pods. It provides real-time updates directly from the Kubernetes API using watch-based mechanisms, enabling instant visibility into changes such as crashes, scaling events, or configuration updates without polling.Starting Price: $99 per month -
30
HUUB
HUUB
HUUB is a digital small business support and economic development platform designed to help local governments and ecosystem builders communicate, manage, and deploy resources to their business communities through a single centralized portal. It combines the HUUB Business Portal and the Economic Engagement Suite (EES) to give economic development teams a unified environment for delivering technical assistance, funding access, training, and community engagement. It provides a “one-stop shop” where businesses can discover resources, connect with advisors, access on-demand learning, and find grants and funding opportunities, while agencies gain visibility into program impact and community needs. It includes automated workflows for advising and program management, smart matching that connects businesses with experts, centralized messaging, and resource mapping that links entrepreneurs to chambers, SBDCs, and partner organizations. -
31
JupyterLab
Jupyter
Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala. -
32
Amazon SageMaker Studio
Amazon
Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x. You can quickly upload data, create new notebooks, train and tune models, move back and forth between steps to adjust experiments, collaborate seamlessly within your organization, and deploy models to production without leaving SageMaker Studio. Perform all ML development steps, from preparing raw data to deploying and monitoring ML models, with access to the most comprehensive set of tools in a single web-based visual interface. Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. -
33
Kubermatic Kubernetes Platform
Kubermatic
Kubermatic Kubernetes Platform (KKP) helps enterprises successfully drive digital transformation by automating their cloud operations anywhere. KKP enables operations and DevOps teams to centrally manage VMs and containerized workloads across hybrid-cloud, multi-cloud, and edge environments with an intuitive self-service developer and operations portal. Kubermatic Kubernetes Platform is open source. Automate operations of thousands of Kubernetes clusters across multi-cloud, on-prem, and edge environments with unparalleled density and resilience. Setup and run your multicloud self service Kubernetes platform with the shortest time to market. Empower your developers and operations team to deploy their clusters in less than three minutes on any infrastructure. Centrally manage your workloads from a single dashboard with a consistent experience from cloud to on-prem to edge. Manage your cloud native stack at scale with enterprise level governance. -
34
Anyscale
Anyscale
Anyscale is a unified AI platform built around Ray, the world’s leading AI compute engine, designed to help teams build, deploy, and scale AI and Python applications efficiently. The platform offers RayTurbo, an optimized version of Ray that delivers up to 4.5x faster data workloads, 6.1x cost savings on large language model inference, and up to 90% lower costs through elastic training and spot instances. Anyscale provides a seamless developer experience with integrated tools like VSCode and Jupyter, automated dependency management, and expert-built app templates. Deployment options are flexible, supporting public clouds, on-premises clusters, and Kubernetes environments. Anyscale Jobs and Services enable reliable production-grade batch processing and scalable web services with features like job queuing, retries, observability, and zero-downtime upgrades. Security and compliance are ensured with private data environments, auditing, access controls, and SOC 2 Type II attestation.Starting Price: $0.00006 per minute -
35
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. -
36
Aiven for Apache Kafka
Aiven
Apache Kafka as a fully managed service, with zero vendor lock-in and a full set of capabilities to build your streaming pipeline. Set up fully managed Kafka in less than 10 minutes — directly from our web console or programmatically via our API, CLI, Terraform provider or Kubernetes operator. Easily connect it to your existing tech stack with over 30 connectors, and feel confident in your setup with logs and metrics available out of the box via the service integrations. A fully managed distributed data streaming platform, deployable in the cloud of your choice. Ideal for event-driven applications, near-real-time data transfer and pipelines, stream analytics, and any other case where you need to move a lot of data between applications — and quickly. With Aiven’s hosted and managed-for-you Apache Kafka, you can set up clusters, deploy new nodes, migrate clouds, and upgrade existing versions — in a single mouse click — and monitor them through a simple dashboard.Starting Price: $200 per month -
37
mirrord
MetalBear
mirrord is an open-source tool that runs any process, on a developer's machine or in an AI agent's environment, as if it were a pod in a remote Kubernetes cluster: real env vars, DNS, network, and traffic, with no deployment step. mirrord lets developers and AI coding agents (Claude Code, Cursor, Codex) work against the cluster's real APIs, databases, and queues from the first line of code, shortening the loop from writing code to seeing it run on real infrastructure. An entire organization can share one staging cluster, with hundreds of developers and agents working concurrently without interfering with each other. mirrord is MIT-licensed, ships as a CLI with IDE extensions for Cursor, Windsurf, VS Code and IntelliJ, and works at the OS level, so it supports any language and any Kubernetes cluster. The commercial offering, mirrord for Teams, makes shared-cluster concurrency safe at scale: concurrent steal-with-filter, RBAC, database branching, and queue splitting, and more.Starting Price: Free -
38
Kaholo
Kaholo
Scriptless CI/CD Automation for On-Demand Developer Portals Kaholo is a low-code IT workflow automation tool that empowers Developers to quickly self-serve environments and automate their workflows while giving Operators full visibility and control over compliance, security, and cloud costs. Key Capabilities: - Drag and drop low-code CI/CD pipelines - 150+ pre-built plugins that interact with external resources that anyone can use without proprietary knowledge, or custom-build your own - Orchestrate your existing CI/CD toolset to avoid the inefficient route of rip and replace - Extensive access permissions allow developers to safely work with and execute pipelines autonomously - Automate provisioning, testing, security scans, builds, deployments with various rollout strategies, rollbacks, cleanups, updates, troubleshooting, remediations, migrations, and more. - Integrations with all cloud providers as well on-prem environmentsStarting Price: $99 per month -
39
Laravel Herd
Laravel Herd
Laravel Herd for Windows is a native development environment designed to simplify local PHP and Laravel application development by providing a complete stack in a single installable tool. It includes essential components such as PHP, Nginx, Node.js, and command-line utilities like Composer, the Laravel installer, and Expose, allowing developers to start building applications immediately after installation without configuring multiple dependencies. Herd runs using native binaries rather than containers, virtual machines, or complex virtualization layers, which helps deliver faster performance and a lighter system footprint compared to many traditional development environments. Once installed, it automatically configures the local system so that projects can be served through .test domains, routing requests from the browser directly to sites hosted on the developer’s machine.Starting Price: $99 per month -
40
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. -
41
DataWorks
Alibaba Cloud
DataWorks is a Big Data platform product launched by Alibaba Cloud. It provides one-stop Big Data development, data permission management, offline job scheduling, and other features. DataWorks works straight ‘out-the-box’ without the need to worry about complex underlying cluster establishment and operations & management. You can drag and drop nodes to create a workflow. You can also edit and debug your code online, and ask other developers to join you. Supports data integration, MaxCompute SQL, MaxCompute MR, machine learning, and shell tasks. Supports task monitoring and sends alarms when errors occur to avoid service interruptions. Runs millions of tasks concurrently and supports hourly, daily, weekly, and monthly schedules. DataWorks is the best platform for building big data warehouses and provides comprehensive data warehousing services. DataWorks provides a full solution for data aggregation, data processing, data governance, and data services. -
42
Spark Streaming
Apache Software Foundation
Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability. -
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Amazon EC2 Capacity Blocks for ML enable you to reserve accelerated compute instances in Amazon EC2 UltraClusters for your machine learning workloads. This service supports Amazon EC2 P5en, P5e, P5, and P4d instances, powered by NVIDIA H200, H100, and A100 Tensor Core GPUs, respectively, as well as Trn2 and Trn1 instances powered by AWS Trainium. You can reserve these instances for up to six months in cluster sizes ranging from one to 64 instances (512 GPUs or 1,024 Trainium chips), providing flexibility for various ML workloads. Reservations can be made up to eight weeks in advance. By colocating in Amazon EC2 UltraClusters, Capacity Blocks offer low-latency, high-throughput network connectivity, facilitating efficient distributed training. This setup ensures predictable access to high-performance computing resources, allowing you to plan ML development confidently, run experiments, build prototypes, and accommodate future surges in demand for ML applications.
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Kuma
Kuma
The open-source control plane for service mesh, delivering security, observability, routing and more. Built on top of Envoy, Kuma is a modern control plane for Microservices & Service Mesh for both K8s and VMs, with support for multiple meshes in one cluster. Out of the box L4 + L7 policy architecture to enable zero trust security, observability, discovery, routing and traffic reliability in one click. Getting up and running with Kuma only requires three easy steps. Natively embedded with Envoy proxy, Kuma Delivers easy to use policies that can secure, observe, connect, route and enhance service connectivity for every application and services, databases included. Build modern service and application connectivity across every platform, cloud and architecture. Kuma supports modern Kubernetes environments and Virtual Machine workloads in the same cluster, with native multi-cloud and multi-cluster connectivity to support the entire organization. -
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Symbiotic Security
Symbiotic Security
Symbiotic Security puts code security in your flow, not in your way, with AI-powered, developer-centric solutions. By embedding real-time vulnerability detection, contextual remediation, and just-in-time training directly into the IDE teams accelerate development cycles and increase code security - no matter where the code comes from. Its continuous learning loop, where developers train the AI and the AI coaches developers, drives smarter, faster, and more secure development at scale. With Symbiotic, enterprises don’t just reduce security risk, they eliminate security debt and empower their teams to grow into security-savvy engineers. -
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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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Fly.io
Fly.io
Fly.io is a modern cloud platform designed to help developers deploy and run applications quickly and efficiently. It uses lightweight virtual machines called Fly Machines that start instantly and scale based on demand. The platform allows developers to run any code in secure, hardware-isolated environments without complex infrastructure setup. Fly.io supports global deployment across multiple regions, ensuring low-latency performance for users worldwide. It also includes built-in private networking, storage solutions, and monitoring tools. Developers can use their preferred frameworks and tools without needing extensive configuration. By simplifying cloud infrastructure, Fly.io enables teams to build, deploy, and scale applications with ease.Starting Price: $0.02 per GB -
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MinistryOne
MinistryOne
When you join a compatible Giving or ChMS platform, the full-featured mobile app is included at no extra cost. MinistryOne™ is an impactful mobile church app created by people who really get the Church. Developed so you can encourage your people to stay engaged any day of the week from wherever they are, the app has powerful features including giving, multimedia, events, prayer requests, and so much more. It’s never been easier to connect with your congregation! Connect with your community and your software. Our desire is to come alongside your church’s mission and provide a solution that integrates with the internal tools you are already using. MinistryOne is an app designed to easily connect your ministry with your community. Customizable. Completely customizable with your church’s logo and information. Sermons and Prayer Requests. Seamlessly integrate sermons for on-demand viewing. Push Notifications. Send instantly or schedule messages to alert your community -
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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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Tencent Cloud LVB Recording
Tencent
Multi-format support in varying use cases: relying on the high-performance service cluster of Tencent Cloud LVB, LVB recording offers different recording schemes to generate recording files in HLS, FLV, MP4, and AAC formats for easier and quicker playback, processing, and distribution. Powerful media asset processing capabilities: leveraging the flexible media asset management and processing capabilities of VOD, LVB recording can edit, remux, and transcode recorded videos in batches, providing a full range of on-demand media asset processing and distribution services. Favorable recording billing mode: LVB recording is billed by the monthly number of valid days, which helps effectively reduce recording costs while eliminating the inconvenience of local recording management and delivering an excellent user experience.
