Spring Cloud provides tools for developers to quickly build some common patterns in distributed systems. With features supporting configuration, service discovery, and circuit breakers, Spring Cloud simplifies complex systems enabling faster development and deployment.
| Product | Mindshare (%) |
|---|---|
| Spring Cloud | 2.1% |
| Red Hat Ansible Automation Platform | 10.3% |
| Microsoft Configuration Manager | 7.4% |
| Other | 80.2% |
Users primarily utilize Spring Cloud for building microservices architectures, managing distributed systems, enhancing scalability, and ensuring fault tolerance. It is frequently used to facilitate seamless integration between various services, improve responsiveness through dynamic routing, and manage configuration across multiple environments. Additionally, implementations often focus on leveraging cloud-native features and simplifying service discovery while deploying applications on diverse cloud platforms.
Spring Cloud stands at the forefront of microservices architecture by offering comprehensive solutions for enterprise applications. By addressing distributed system challenges, it aids developers in building robust applications that can easily adapt to rapidly changing environments. Spring Cloud integrates seamlessly with popular cloud platforms, providing flexibility and scalability, fostering an agile development process. The microservices-focused approach allows for modular applications that promote reliable and maintainable codebases.
What are the key features of Spring Cloud?Industries such as e-commerce, finance, and telecommunications are implementing Spring Cloud to streamline their backend operations. E-commerce platforms leverage its scalability for handling seasonal traffic spikes. Financial institutions use its reliability and security features to manage transactions securely. Telecommunications rely on its flexibility to enhance service offerings rapidly. Spring Cloud's robust infrastructure and modern architecture make it ideal for industries aiming to improve service delivery and customer satisfaction.
| Author info | Rating | Review Summary |
|---|---|---|
| Technical Lead at Cellulant Kenya | 3.5 | I find Spring Cloud valuable for building cloud-native applications and APIs, as it allows faster startup compared to standard Spring Boot applications. However, I believe it could become more lightweight and efficient for better cloud transition support. |
| Solution Architect & Group Lead at AppEnsure Inc. | 3.5 | I use Spring Cloud for managing microservices, particularly with Eureka Server for routing requests efficiently across multiple instances. While it simplifies configuration, stability needs improvement. So far, I haven't identified other areas requiring enhancement as we continue our work. |
| Sr. Technology Specialist at a computer software company with 5,001-10,000 employees | 3.0 | I use Spring Cloud for API routing, appreciating its Java integration and customization. It's stable, scalable, and open-source, but a dashboard would benefit non-programmers. Setup was straightforward, though CORS was tricky. |
We use it for building cloud-native applications and APIs and it helps us effectively manage various aspects of our application.
It enables you to create applications that can start up more quickly than a standard Spring Boot application.
It would be beneficial for the framework to become more lightweight and efficient when transitioning to the cloud.
I have been using it for one year.
It provides good stability capabilities, even though I am encountering certain issues that are causing challenges at the moment. I would rate it eight out of ten.
It offers excellent scalability. You have the flexibility to schedule based on the number of messages or bytes, whether it's an API or network bytes. A team of approximately five individuals primarily uses it for experimentation purposes.
The initial setup was simple and straightforward.
Deployment takes just a few seconds, and you can manage it on your own. I start by pushing the code to a version control system like GitHub. From there, I can easily trigger the deployment pipeline. During this process, a build is created and pushed to a repository, typically an image management tool. Finally, I can deploy that image to my target environment, whether Kubernetes or any other environment of choice. It also allows the flexibility to build within a firewall or use our firewall and simply push it to on-premises applications if needed.
Currently, we are not required to pay for licenses.
Overall, I would rate it seven out of ten.
I have a team, and they are working on Spring Cloud. As of now, we are using a microservice. In the microservice, we need to use Spring Cloud just like how in Eureka Server, we need to maintain the server from Eureka, especially when we have multiple services and those services that are getting connected to Eureka Server. Then, when we send a request, Eureka Server and the gateway of Eureka Server take care of sending the request to a particular instance.
If you have multiple instances, suppose I have multiple instances, like, calculating one algorithm, and we have implemented it in one service, and when we want to run multiple instances, we don't have to go there to configure all the instances in the platform dynamically. In Eureka Server, when a request comes, it takes care of the instances we need to call. Using a Spring Cloud and Eureka Server, you can route the call. It is routing to call a particular system that is required.
For now, I don't have any idea about what needs improvement in the tool because we are working on it.
Stability is one area in the solution that needs to improve.
I have been using Spring Cloud.
Stability-wise, I rate the solution a seven out of ten.
We don't have requirements for the solution from a scalability point of view. I think that we don't require scalability because it is already working on instances. It is able to track instances. So, I think scalability is okay. Currently, there are thirty users using the solution. Also, I can increase the number of users if needed.
We have not contacted Spring Cloud's technical support since we had gone through their documentation.
The solution's initial setup is straightforward. The deployment process took me around ten minutes to fifteen minutes. I can do the configuration. Setting up Eureka Servers and all those things, it will take three-four hours.
For deployment, you need to add Spring Cloud plugin to a manual, and then you can start to build, and it will be built. It is not complex, so it is very straightforward since one just needs to add the plugin.
Spring Cloud is a component. It is not a, like, tool or software since it is a free cloud, for which a Eureka Server is needed for configuration. So, it is a dependency you need to add to your Maven. Then, you can work on that. So, it will not take much time for engineers to do that.
The implementation can be done in-house.
It is an open-source or free version solution. It also has a paid version, but we have used the open-source version for now.
Overall, I rate the solution a seven out of ten.
We use it for managing traffic and API routing. It was on-premise, and then all the components were Spring-based components and Java-based, whereas, in the case of Google Cloud, it was heterogeneous, and few were Python-based. We chose Spring Cloud gateway as all services were in Java, and it was on-premise.
Spring Cloud integrates well. As it's code-based, you can do more customization. With the way you configure or code, you can have your custom implementations. It's the best integration option if you have Java Spring Web Services.
If there's a dashboard like the ones provided by Apigee or Kong, that will be useful. This is because non-programmers can also go for it. Currently, Spring Cloud is best suited for hardcore programmers who know Spring and seasoned professionals in the Spring Cloud.
It'll also help if it supports open banking and different routing policies. I think we can set it up, but it'll be better with dashboard support.
I have been using Spring Cloud for a couple of months.
Spring Cloud is a stable solution.
Spring Cloud is a scalable product.
The initial setup is straightforward and not very difficult. Just add a few form dependencies, and your Spring Cloud gateway will be up. It took us about a day to deploy Spring Cloud. We faced some difficulties in the CORS, like cross-origin resource sharing. We were facing that error. It took us more time to resolve that error, but eventually, we were able to resolve that. In the case of Apigee, setting up the CORS is very straightforward, so that's one thing that I like about Apigee.
Spring Cloud is an open-source solution.
I would recommend Spring Cloud to potential users.
On a scale from one to ten, I would give Spring Cloud a six.
