Best Microservices Tools for Windows of 2025

Deploy sophisticated applications using a secure and managed Kubernetes platform. GKE serves as a robust solution for running both stateful and stateless containerized applications, accommodating a wide range of needs from AI and ML to various web and backend services, whether they are simple or complex. Take advantage of innovative features, such as four-way auto-scaling and streamlined management processes. Enhance your setup with optimized provisioning for GPUs and TPUs, utilize built-in developer tools, and benefit from multi-cluster support backed by site reliability engineers. Quickly initiate your projects with single-click cluster deployment. Enjoy a highly available control plane with the option for multi-zonal and regional clusters to ensure reliability. Reduce operational burdens through automatic repairs, upgrades, and managed release channels. With security as a priority, the platform includes built-in vulnerability scanning for container images and robust data encryption. Benefit from integrated Cloud Monitoring that provides insights into infrastructure, applications, and Kubernetes-specific metrics, thereby accelerating application development without compromising on security. This comprehensive solution not only enhances efficiency but also fortifies the overall integrity of your deployments.

Kubernetes (K8s) is a powerful open-source platform designed to automate the deployment, scaling, and management of applications that are containerized. By organizing containers into manageable groups, it simplifies the processes of application management and discovery. Drawing from over 15 years of experience in handling production workloads at Google, Kubernetes also incorporates the best practices and innovative ideas from the wider community. Built on the same foundational principles that enable Google to efficiently manage billions of containers weekly, it allows for scaling without necessitating an increase in operational personnel. Whether you are developing locally or operating a large-scale enterprise, Kubernetes adapts to your needs, providing reliable and seamless application delivery regardless of complexity. Moreover, being open-source, Kubernetes offers the flexibility to leverage on-premises, hybrid, or public cloud environments, facilitating easy migration of workloads to the most suitable infrastructure. This adaptability not only enhances operational efficiency but also empowers organizations to respond swiftly to changing demands in their environments.

Postman serves as a collaborative platform for developing APIs, designed to simplify the entire process of API creation and enhance teamwork, enabling the rapid development of superior APIs. The platform's features facilitate each phase of API construction, making it easier to collaborate and accelerate the creation of high-quality APIs. Users can quickly and effortlessly send requests for REST, SOAP, and GraphQL directly within Postman, optimizing their workflow. Additionally, it allows for the automation of manual tests, seamlessly integrating them into your CI/CD pipeline to safeguard against potential issues when code changes are deployed to production. API behavior can be communicated effectively by simulating endpoints and their respective responses without the need for a backend server setup. You can also generate and publish visually appealing, machine-readable documentation, which helps in making your API more accessible for users. Regular performance and response time checks ensure you stay informed about your API's health, allowing for proactive management. Lastly, Postman fosters a shared environment for API creation and consumption, enabling real-time collaboration among team members. Postman’s AI Agent Builder revolutionizes the development of AI agents with its no-code platform, enabling users to build, test, and deploy powerful agents without coding expertise. It provides access to a vast library of over 100,000 APIs and a variety of LLMs, offering tools to compare their performance, cost, and response quality. The visual workflow builder simplifies creating multi-step agent interactions, and its testing tools ensure reliability before deployment.

Portainer Business makes managing containers easy. It is designed to be deployed from the data centre to the edge and works with Docker, Swarm and Kubernetes. It is trusted by more than 500K users. With its super-simple GUI and its comprehensive Kube-compatible API, Portainer Business makes it easy for anyone to deploy and manage container-based applications, triage container-related issues, set up automate Git-based workflows and build CaaS environments that end users love to use. Portainer Business works with all K8s distros and can be deployed on prem and/or in the cloud. It is designed to be used in team environments where there are multiple users and multiple clusters. The product incorporates a range of security features - including RBAC, OAuth integration and logging, which makes it suitable for use in large, complex production environments. For platform managers responsible for delivering a self-service CaaS environment, Portainer includes a suite of features that help control what users can / can't do and significantly reduces the risks associated with running containers in prod. Portainer Business is fully supported and includes a comprehensive onboarding experience that ensures you get up and running.

RabbitMQ is a lightweight solution that can be effortlessly deployed both on-premises and in cloud environments. It is compatible with various messaging protocols, making it versatile for different use cases. Furthermore, RabbitMQ can be configured in distributed and federated setups, which cater to demanding scalability and high availability needs. With a vast user base, it stands out as one of the leading open-source message brokers available today. Organizations ranging from T-Mobile to Runtastic leverage RabbitMQ, showcasing its adaptability for both startups and large enterprises. Additionally, RabbitMQ is compatible with numerous operating systems and cloud platforms, offering a comprehensive suite of development tools for popular programming languages. Users can deploy RabbitMQ using tools like Kubernetes, BOSH, Chef, Docker, and Puppet, facilitating seamless integration into their existing workflows. Developers can also create cross-language messaging solutions using their preferred programming languages, such as Java, .NET, PHP, Python, JavaScript, Ruby, and Go, enhancing its utility across various projects.

Codefresh was founded in 2014. It combines CI/CD and Image Management to create a complete container delivery platform that connects developers and operations. Codefresh allows startups and enterprises to instantly benefit from microservices, container-based technologies. The company is based out of Silicon Valley, Israel.

Aerobase is a publicly available Identity and Access Management (IAM) system that focuses on various aspects such as identity federation, single sign-on (SSO), robust and adaptive authentication methods, access management, account oversight, identity provisioning, as well as securing APIs and microservices in line with privacy regulations. This introductory guide is designed to assist you in setting up Aerobase, detailing server setup and the utilization of the default database. However, it does not delve into more advanced deployment methods. For additional insights into features or configuration settings, please refer to the supplementary reference materials available. Understanding these aspects will enhance your overall experience with Aerobase.

Become part of the expanding network of integration experts utilizing Martini™ for quicker integration solutions. Gloop streamlines the tedious tasks involved in developing services for application and data integration, API creation, and data management, significantly reducing the workload. It simplifies various essential development functions, including data mapping and transformation, array iteration, implementation of if-else and switch-case logic, external code invocation, parallel job execution, and much more. Additionally, Flux serves as Martini’s event-driven workflow engine designed for orchestrating asynchronous workflows and triggering events in Gloop microservices. With Flux, you can call Gloop microservices either sequentially, passing outputs from one to the next, or concurrently, while Flux expertly tracks the state of each execution. The creation of Flux workflows is intuitive, allowing users to visually construct them by dragging states onto a canvas and selecting the Gloop microservices to be executed at each state invocation, fostering a user-friendly experience. This innovative approach not only enhances productivity but also encourages collaboration within the integration community.

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

The PivotData microservice provides an efficient solution for integrating self-service analytics and business intelligence reporting into web applications. By utilizing JSON configuration, users can easily set up their data sources to create pivot tables and chart reports via a web API. Acting as an analytics backend, PivotData converts reports defined by the cube model—consisting of dimensions, metrics, and parameters—into database queries. Its reporting engine handles various tasks, including caching, queuing, calculations, managing database connections, and facilitating exports to multiple formats. A standout feature is its ability to render HTML pivot tables, allowing them to be seamlessly displayed on any web page, enhancing user interaction and data comprehension. This microservice not only streamlines reporting processes but also empowers users with the tools they need to visualize their data effectively.

D2iQ Enterprise Kubernetes Platform (DKP) Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Solve the Toughest Enterprise Kubernetes Challenges Accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. * Enable Day 2 Readiness Out-of-the-Box Without Lock-In * Simplify and Accelerate Kubernetes Adoption * Ensure Consistency, Security, and Performance * Expand Kubernetes Across Distributed Environments * Ensure Fast, Simple Deployment of ML and Fast Data Pipeline * Leverage Cloud Native Expertise

ACTICO offers a versatile software platform designed for decision automation, which enables organizations to boost efficiency, enhance agility, and refine their digital interactions. By utilizing ACTICO's AI-driven Decision Automation Platform, businesses can make quicker and more informed decisions. This platform seamlessly combines data, artificial intelligence, and decision-making into a single cohesive solution. It encompasses all necessary components, from the creation and design of decision models to the testing and oversight of automated decision processes across various systems, workflows, and channels. Its unique integration of AI not only improves decision quality but also elevates automation levels. Moreover, this software empowers companies to digitize their essential business operations, respond effectively to customer needs, and mitigate both business and regulatory risks, ultimately fostering a more resilient operational framework.

Container-based workloads, full GPU support and autoscaling. Custom built solutions. Worker will take care of your jobs so that you can concentrate on your application. Hosted background job solution that allows you to manage your containers with dynamic scale and detailed analytics. You can run short-term containers quickly or containers that need to be used over multiple days. We can help you with any job, no matter how small or large. You can confidently containerize your background tasks. Our shared infrastructure will allow you to run your containers. You can use dedicated hardware to support your workloads. This is a great option if you need consistent performance and throughput. Our autoscale technology allows you to scale up or down depending on your usage. We manage scheduling, authentication, and all other details. You can run workers on your hardware. This is a great option if you have your own infrastructure or have higher security requirements.

MQ is a reliable way for components and services to communicate with each other. MQ is highly available, persistent by design, and with best-effort one time delivery. It is the most industrial-strength cloud-native solution to modern application architecture. A rich set of features is available, including push and pull queues as well as long polling, error queues and alerts and triggers. MQ is a global service that can run on multiple clouds and availability zones. Advanced users with critical messaging requirements can have queues point to other zones in the event of an outage. This is done without changing any code. It runs on top of cloud infrastructure and makes use of multiple high-availability data centres. MQ scales without you having to manually add or maintain resources. For efficient and simple cloud use, MQ uses HTTPS/Rest APIs. For maximum flexibility and configuration, built with MQ standards.

Amazon Simple Queue Service (SQS) is a fully managed message queuing platform designed to help you decouple and scale microservices, distributed systems, and serverless applications. By removing the complexity and overhead typically associated with message-oriented middleware, SQS allows developers to concentrate on more impactful tasks. With SQS, you can effortlessly send, store, and receive messages between various software components at any scale, ensuring message integrity and independence from other services. You can quickly begin using SQS in just minutes through the AWS console, Command Line Interface, or your preferred SDK, executing three straightforward commands. This service enables the transmission of any data volume at any throughput level while maintaining message reliability and service independence. Additionally, SQS facilitates the decoupling of application components, which allows them to operate and fail independently, ultimately enhancing the fault tolerance of the overall system. By leveraging SQS, organizations can achieve greater resilience and adaptability in their application architecture.

Establishing a cohesive logging framework is essential for ensuring that log data is both accessible and functional. Unfortunately, many current solutions are inadequate; traditional tools do not cater to the demands of modern cloud APIs and microservices, and they are not evolving at a sufficient pace. Fluentd, developed by Treasure Data, effectively tackles the issues associated with creating a unified logging framework through its modular design, extensible plugin system, and performance-enhanced engine. Beyond these capabilities, Fluentd Enterprise also fulfills the needs of large organizations by providing features such as Trusted Packaging, robust security measures, Certified Enterprise Connectors, comprehensive management and monitoring tools, as well as SLA-based support and consulting services tailored for enterprise clients. This combination of features makes Fluentd a compelling choice for businesses looking to enhance their logging infrastructure.

Centralize, transform, and store your data seamlessly. Logstash serves as a free and open-source data processing pipeline on the server side, capable of ingesting data from numerous sources, transforming it, and then directing it to your preferred storage solution. It efficiently handles the ingestion, transformation, and delivery of data, accommodating various formats and levels of complexity. Utilize grok to extract structure from unstructured data, interpret geographic coordinates from IP addresses, and manage sensitive information by anonymizing or excluding specific fields to simplify processing. Data is frequently dispersed across multiple systems and formats, creating silos that can hinder analysis. Logstash accommodates a wide range of inputs, enabling the simultaneous collection of events from diverse and common sources. Effortlessly collect data from logs, metrics, web applications, data repositories, and a variety of AWS services, all in a continuous streaming manner. With its robust capabilities, Logstash empowers organizations to unify their data landscape effectively. For further information, you can download it here: https://sourceforge.net/projects/logstash.mirror/

Create a reliable and scalable gateway for the swift deployment of your applications worldwide. Seamlessly integrate your dispersed microservices into a unified global application through the use of HTTP load balancing and path-based routing configurations. Streamline the process of launching new regions and scaling operations with API-driven global actions, while ensuring independent fault tolerance for your backend microservices, whether they reside in Azure or elsewhere. Deliver and safeguard your global application near your end users with a robust service supported by Microsoft’s esteemed Global Network infrastructure. Consistently optimize your traffic flow to ensure the most efficient route to your application, enhance service capacity, minimize latency, and boost throughput for users around the globe utilizing edge load balancing and application acceleration techniques. Furthermore, effortlessly oversee domain mapping and manage traffic to your microservice backends through a singular, centralized global dashboard, allowing for greater control and visibility over your distributed architecture. This streamlined approach not only improves performance but also enhances the overall user experience across various regions.

IBM WebSphere Application Server offers a versatile and secure Java server runtime environment tailored for enterprise applications. It enhances application delivery through a dependable Java Enterprise Edition-based platform that supports both microservices and standard programming models, enabling you to modernize at a comfortable pace. This environment allows for improved visibility across various workloads, facilitates the analysis of enterprise applications, and supports your transition to Kubernetes. Additionally, it empowers you to deploy and manage applications and services seamlessly, regardless of time, location, or device type. With integrated management and administrative tools, it ensures heightened security and control, while also providing support for multicloud environments to accommodate your preferred deployment strategies. Continuous delivery capabilities and services are designed to keep pace with your business's evolving demands, ultimately allowing for greater responsiveness. This comprehensive solution positions your enterprise for long-term success in a rapidly changing technological landscape.

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

Gilhari is a microservice framework that provides persistence for JSON objects in relational database. This microservice framework is available as a Docker image and can be configured according to an app-specific object or relational model. Gilhari exposes REST (Representational State Transfer) interface for APIs (POST/GET, PUT and DELETE ) to perform CRUD (Create. Retrieve. Update. Delete) operations on app-specific JSON objects. Here are some highlights from Gilhari: * Metadata driven, object model independent and database agnostic framework * Easily customizable/configurable to your JSON object model * JSON attributes can be mapped to table columns, allowing full query capabilities as well as optimizations * Supports complex object modeling, including 1-m, 1-m and m-m relationships * No code is required to handle REST APIs (POST/GET, PUT/DELETE), data exchange (CRUD), or database schema creation.

HapPhi serves as a versatile NO CODE creative platform, utilizing artificial intelligence microservices to enhance and empower businesses and software applications. With its user-friendly technology, users can effortlessly locate, consolidate, integrate, upgrade, and monetize their projects, streamlining processes and boosting efficiency. This innovative approach enables organizations to harness the power of AI without the need for extensive coding knowledge.