CLOUD NATIVE

Building and running applications should exploit the advantages of the cloud computing delivery model. The most important advantages are its data services, and the ability to offer limitless computing power.

Cloud-Native Consultancy

Now and then, people in the IT industry get caught in new trends and developments, and the latest buzzword in town is “Cloud-Native.” Yes, cloud-native has entirely changed our perception of software development, deployment, and operation. While many would have heard about cloud-based services, cloud-native is not the same. It is not just signing up with a cloud provider like Amazon AWS and host your products on the cloud. Cloud-native is a model that affects the entire development cycle right from application design, development, deployment, and operation.

Developed Using Best-In-Class Framework & Technologies

Every service in the cloud-native application is developed using the best framework and languages based on their requirements. Unlike other apps, cloud-native applications are versatile as every service is used for various functionalities and uses different runtimes.

Take, for example, if there is a requirement for live-streaming, developers can opt for Python and Flask. It is this kind of advantage that makes cloud-based applications so popular among development teams. Cloud-native allows organizations to choose the best framework needed to work on a specific requirement.

Stateless and Stateful Services

When it comes to persistent services, they would follow a different format or design and provides higher resiliency and availability when compared to services that are not persistent. When it comes to stateless and stateful services, both coexist and are independent of each other.

Use API For Collaboration & Interaction

Even though the microservices in a cloud-native application are independent of one another, they can use APIs to collaborate and interact with one another and other services outside the container. Mostly lightweight APIs like REST and NATS are used for collaboration and interaction. Sometimes, developers also make use of gRPC (Google Remote Procedure Call) API for communication between services.

Microservices

Cloud-native applications are designed and structured in the form of loosely connected microservices. Even though they exist inside the same container, every service is independent of the other. With this kind of structure in place, developers need not worry about other services while working on the other and only concentrate on the functionality and requirement of that particular microservice. This primarily helps the development team to maintain the overall project quite easily.

Our DevOps Solutions

Why Choose Greater

If you are thinking about cloud-native applications, then you cannot stop thinking about Greater, one of the leading companies specialized in cloud-native development. Our team of experienced and skilled professionals is highly skilled in cloud-native development. We have assisted various small, medium, and large-scale enterprises to develop cloud-native apps. Our native cloud applications are designed in such a way that they are highly scalable, reliable, and inherently faster. Our applications can be scaled horizontally. Since cloud-native applications are known to utilize the elasticity of the cloud, even during a spike in traffic it will not result in a lag or downtime as it will automatically increase its resource usage. While an application that is hosted, on-premises cannot scale automatically, it is not the case with cloud-native applications. They can easily scale-in and scale-out automatically based on the situation. For any other queries related to cloud-native application development, please contact our customer support.

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Big Automation project for Idemia

Company The company where I am currently working at delivers authorization and identity cards. Situation I am working in a team of 6 Linux engineers

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Building a CI/CD Pipeline for Redora

When I first arrived at Redora I was asked to automate application deployments on existing and future virtual machines. Their preference was Ansible and that

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