Best Microservices Tools for Observe
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Compare the Top Microservices Tools that integrate with Observe as of July 2025
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This a list of Microservices tools that integrate with Observe. Use the filters on the left to add additional filters for products that have integrations with Observe. View the products that work with Observe in the table below.
What are Microservices Tools for Observe?
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 Observe 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) -
2
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. -
3
Kubernetes
Kubernetes
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.Starting Price: Free -
4
Fluentd
Fluentd Project
A single, unified logging layer is key to make log data accessible and usable. However, existing tools fall short: legacy tools are not built for new cloud APIs and microservice-oriented architecture in mind and are not innovating quickly enough. Fluentd, created by Treasure Data, solves the challenges of building a unified logging layer with a modular architecture, an extensible plugin model, and a performance optimized engine. In addition to these features, Fluentd Enterprise addresses Enterprise requirements such as Trusted Packaging. Security. Certified Enterprise Connectors, Management / Monitoring, and Enterprise SLA-Based Support, Assurance, and Enterprise Consulting Services -
5
Logstash
Elasticsearch
Centralize, transform & stash your data. Logstash is a free and open server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to your favorite "stash." Logstash dynamically ingests, transforms, and ships your data regardless of format or complexity. Derive structure from unstructured data with grok, decipher geo coordinates from IP addresses, anonymize or exclude sensitive fields, and ease overall processing. Data is often scattered or siloed across many systems in many formats. Logstash supports a variety of inputs that pull in events from a multitude of common sources, all at the same time. Easily ingest from your logs, metrics, web applications, data stores, and various AWS services, all in continuous, streaming fashion. Download: https://sourceforge.net/projects/logstash.mirror/ -
6
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. -
7
Google Cloud Functions
Google
Google Cloud Functions has a simple and intuitive developer experience. Just write your code and let Google Cloud handle the operational infrastructure. Develop faster by writing and running small code snippets that respond to events. Connect to Google Cloud or third-party cloud services via triggers to streamline challenging orchestration problems.
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