Compare the Top Microservices Tools for Mac as of October 2025

What are Microservices Tools for Mac?

Microservices tools and frameworks are comprehensive platforms and libraries that assist in the development and management of microservices-based applications. These tools and frameworks offer essential features such as service discovery, fault tolerance, load balancing, and API management to streamline the design of microservices architectures. They support developers in creating services that are decoupled, independently deployable, and scalable. Additionally, these frameworks often come with built-in support for integrating with container orchestration systems like Kubernetes and Docker. By using these tools and frameworks, teams can enhance the resilience, scalability, and maintainability of their applications. Compare and read user reviews of the best Microservices tools for Mac currently available using the table below. This list is updated regularly.

  • 1
    Portainer Business
    Portainer is an intuitive container management platform for Docker, Kubernetes, and Edge-based environments. With a smart UI, Portainer enables you to build, deploy, manage, and secure your containerized environments with ease. It makes container adoption easier for the whole team and reduces time-to-value on Kubernetes and Docker/Swarm. With a simple GUI and a comprehensive API, the product makes it easy for engineers to deploy and manage container-based apps, triage issues, automate CI/CD workflows and set up CaaS (container-as-a-service) environments regardless of hosting environment or K8s distro. Portainer Business is designed to be used in a team environment with multiple users and clusters. The product includes a range of security features, including RBAC, OAuth integration, and logging - making it suitable for use in complex production environments. Portainer also allows you to set up GitOps automation for deployment of your apps to Docker and K8s based on Git repos.
    Starting Price: Free
  • 2
    RabbitMQ

    RabbitMQ

    RabbitMQ

    RabbitMQ is lightweight and easy to deploy on-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. With tens of thousands of users, RabbitMQ is one of the most popular open-source message brokers. From T-Mobile to Runtastic, RabbitMQ is used worldwide at small startups and large enterprises. RabbitMQ is lightweight and easy to deploy on-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. RabbitMQ runs on many operating systems and cloud environments and provides a wide range of developer tools for most popular languages. Deploy with Kubernetes, BOSH, Chef, Docker and Puppet. Develop cross-language messaging with favorite programming languages such as Java, .NET, PHP, Python, JavaScript, Ruby, Go, etc.
    Starting Price: Free
  • 3
    Codefresh

    Codefresh

    Codefresh

    Founded in 2014, Codefresh combines CI/CD, Image Management, and on-demand staging environments to create a complete container delivery toolchain that brings developers and developer operations into a shared platform. Codefresh enables startups and enterprises alike to immediately benefit from microservices and container-based technologies. The company is based in Silicon Valley and Israel.
    Starting Price: $0/month
  • 4
    Telepresence

    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
  • 5
    IronWorker

    IronWorker

    Iron.io

    Container based workloads, full GPU support, autoscaling, custom built solutions. Let Worker take care of your jobs so you can focus on your application. A hosted background job solution that lets you run your containers with dynamic scale, detailed analytics and world class customer support. Run short lived containers quickly, or even containers needing to work across multiple days. Whether it's a one-off job, or one that needs 1000's of workers running in parallel, we've got you covered. Containerize your background tasks with confidence. Run your containers on our shared infrastructure. Dedicated hardware for your workloads. A great option when you need consistent performance and throughput. Our autoscale technology helps you scale up and down based on your usage. You run workers on your own hardware, and we take care of the authentication, scheduling, and everything else. If you have access to your own infrastructure and/or have higher security needs, this is often a great fit.
    Starting Price: $4.99 per month
  • 6
    IronMQ

    IronMQ

    Iron.io

    MQ provides a reliable way to communicate between services and components. Highly available, persistent by design, with best-effort one-time delivery, MQ is the most industrial-strength, cloud-native solution for modern application architecture. Supports a rich set of features including push and pull queues, long polling, error queues, alerts and triggers, and more. MQ is a global service that runs on multiple clouds and availability zones. For advanced users with critical messaging needs, queues can automatically point to alternative zones in case of an outage without having to change any code. Runs on top of cloud infrastructure and uses multiple high-availability data centers. MQ scales without the need for you to add and maintain resources yourself. Uses HTTPS/Rest-based APIs for simple and efficient cloud use. Built with MQ standards in mind for maximum flexibility and configuration.
    Starting Price: $24.99 per month
  • 7
    Amazon Simple Queue Service (SQS)
    Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands. Use Amazon SQS to transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be available. SQS lets you decouple application components so that they run and fail independently, increasing the overall fault tolerance of the system.
  • 8
    Azure Functions
    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.
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