Best Microservices Tools for PubSub+ Platform
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Compare the Top Microservices Tools that integrate with PubSub+ Platform as of November 2025
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This a list of Microservices tools that integrate with PubSub+ Platform. Use the filters on the left to add additional filters for products that have integrations with PubSub+ Platform. View the products that work with PubSub+ Platform in the table below.
What are Microservices Tools for PubSub+ Platform?
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 PubSub+ Platform currently available using the table below. This list is updated regularly.
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1
Google Cloud Run
Google
Google Cloud Run is an ideal platform for deploying microservices, as it allows developers to easily containerize and scale individual services independently. By supporting containerized applications, Cloud Run enables a microservices architecture where each service can be developed, deployed, and scaled separately, enhancing flexibility and scalability. Cloud Run’s automatic scaling ensures that each microservice is only running when needed, allowing resources to be allocated efficiently. The platform supports a variety of programming languages and frameworks, making it easier to deploy microservices across different environments. New customers can explore Cloud Run’s microservices features with $300 in free credits, which allows them to test how easily services can scale based on demand. This focus on microservices also encourages a more modular and maintainable approach to application development.Starting Price: Free (2 mil requests/month) -
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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.
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Google Cloud Pub/Sub
Google
Google Cloud Pub/Sub. Scalable, in-order message delivery with pull and push modes. Auto-scaling and auto-provisioning with support from zero to hundreds of GB/second. Independent quota and billing for publishers and subscribers. Global message routing to simplify multi-region systems. High availability made simple. Synchronous, cross-zone message replication and per-message receipt tracking ensure reliable delivery at any scale. No planning, auto-everything. Auto-scaling and auto-provisioning with no partitions eliminate planning and ensures workloads are production-ready from day one. Advanced features, built in. Filtering, dead-letter delivery, and exponential backoff without sacrificing scale help simplify your applications. A fast, reliable way to land small records at any volume, an entry point for real-time and batch pipelines feeding BigQuery, data lakes and operational databases. Use it with ETL/ELT pipelines in Dataflow. -
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A flexible, security-rich Java server runtime environment for enterprise applications. IBM WebSphere Application Server accelerates application delivery with a highly reliable Java Enterprise Edition-based runtime environment. It supports microservices and standards-based programming models designed to help you modernize at your own pace, gain visibility across workloads, analyze enterprise applications and advance your journey to Kubernetes. IBM WebSphere Application Server is a flexible, secure Java server runtime environment for enterprise applications. Deploy and manage applications and services regardless of time, location or device type. Integrated management and administrative tools provide enhanced security and control, and support for multicloud environments lets you choose your deployment method. Continuous delivery capabilities and services help you to respond at the speed of your business needs.
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AWS Lambda
Amazon
Run code without thinking about servers. Pay only for the compute time you consume. AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. AWS Lambda automatically runs your code without requiring you to provision or manage servers. Just write the code and upload it to Lambda. AWS Lambda automatically scales your application by running code in response to each trigger. Your code runs in parallel and processes each trigger individually, scaling precisely with the size of the workload. -
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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.
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