Best Microservices Tools for Amazon EC2

Find and compare the best Microservices tools for Amazon EC2 in 2026

Use the comparison tool below to compare the top Microservices tools for Amazon EC2 on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Martini Reviews

    Martini

    TORO Cloud

    $500 per month
    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.
  • 2
    AWS X-Ray Reviews
    AWS X-Ray is a powerful tool that assists developers in analyzing and debugging distributed applications in production, particularly those constructed with a microservices architecture. This service enables you to gain insights into the performance of your applications and the services they rely on, helping to pinpoint the root causes of performance-related issues and errors. X-Ray offers a comprehensive view of requests as they move through your application, along with a visual representation of the various components involved. It is applicable for analyzing applications at different stages, whether in development or production, and it can handle everything from straightforward three-tier systems to intricate microservices architectures with thousands of interconnected services. By leveraging X-Ray, teams can enhance their understanding of application behavior, ultimately leading to more efficient troubleshooting and optimization processes.
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB