Cloud Programming Services
Cloud computing is used to provision computing resources such as software, intelligence, analysis, networks, databases and storage over the Internet, making innovation faster and accessible to businesses. It is comprised of a wide range of technologies that have a strong influence on modern-day programming. Whether you work with infrastructure as a service (IaaS), platform as a service (PaaS), or software as a service (SaaS), there are many ways to leverage the cloud advantage.
Cloud computing refers to a shift from the conventional way of consuming technologies resources. The benefits include better speed, more savings, higher productivity, and improved security.
Cloud Programming for Microservices
A programming language uses a fixed structure and keywords to communicate information. It is a critical consideration for your cloud ambitions. When in-house teams choose a language, they tend to go for the general-purposes procedural programming languages, especially Java and Python.
Cloud-based languages are well known for their efficiency and are used for databases and servers. Here are some of the most popular languages for implementing microservices in the cloud.
Java
Java is ideal for microservices due to its annotation syntax, which is easily readable. This will help your team develop microservices. It provides terrific value in readability, especially while handling sophisticated systems. Java has multiple options for supporting the development and deployment of microservices. It comes with a user interface, model components and connectivity to back-end resources.
CCT’s cloud engineers are well-versed in Java EE standards and can work with JPA for data handling, CDI for dependency injection, and JAX-RS for APIs. We will also assist with the development of numerous frameworks like the following:
- Spark – Create web apps in Kotlin and Java 8 with greater efficiency
- Dropwizard – Assemble mature and stable Java libraries into a light-weight and simple package
- Spring Boot – Runs on top of different languages for inversion of control, aspect-oriented programming, and others.
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Python
Python is one of the most popular languages today that provides active integration support for a wide array of technologies. We can show how fast and easy prototyping is with Python. For robust implementations, you can always rely on Django. With microservices, Python offers computability with legacy applications, allowing you to develop the front-end of web services for hosting microservices.
These advantages make Python better than other languages. Engineers who use Python for microservices adopt a RESTful API process, a thorough approach for utilizing web software and protocols for remote manipulation of objects. By doing this, you can monitor your services easily in the cloud. So, which framework can you use? CCT can aid you with the following:
- Bottle – Fast, lightweight, and simple WSGI microframework
- CherryPy – Mature object-oriented framework
- Falcom – Create cloud APIs, smart proxies and back-end systems
- Flask – One of the most well-known Python framework for microservices
- Nameko – Ideal for microservices applications to focus on application logic
NodeJS
NodeJS has been the go-to option for startups and enterprises in the last few years, particularly those who want to adopt microservices in the cloud. Since NodeJS runs on the back of V8 runtime, it is extremely quick for I/O tasks.
Usually, NodeJS is used to develop microservices with IO or CPU bound code. The CPU-bound programs require intensive calculations. Whenever you run an IO call, Node JS does not intercept the main-thread. Instead, it makes the IO daemon threads submit and execute tasks. This is why your team will really benefit a lot from IO-bound tasks with Node JS. If you want to train them for it, seek CCT’s help so our experienced developers can polish your team’s skills in NodeJS for microservices. With the right configuration of NodeJS, we can ensure that you can manage the same load by saving 90% of your hardware resources!
Over the past few years, we have helped several innovative organizations embrace NodeJS for microservices, improving performance and productivity in cloud deployments and enhance developer satisfaction. We can help you too. Send us a message today.
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.Net
ASP.Net is Microsoft’s website framework that makes it quite easy to create APIs for microservices. It boasts built-in support that helps you use Docker containers to build and deploy microservices. .Net has APIs that can easily consume microservices from any application you worked on including, gaming, web, mobile, and desktop applications.
If you already have an application, consider embracing microservices with .Net in the cloud, where you do not have to revamp the application completely.
With .Net microservices, you can compile technologies for every service, thus implementing a significant amount of your application in it without implementing it everywhere.
CCT’s cloud consultants can also facilitate you with using NodeJS and Java with other languages. This provides a swift move to .Net Core. Keep in mind that .Net is supported by all the major cloud platforms.
Which Is the Best Cloud Programming Services Language?
Microservices have been gaining a significant amount of popularity in the industry as companies attempt to build larger and complex applications that can be handled and segregated as a compilation of smaller services. Therefore, it is a common question: Which is the best language for microservices in the cloud?
The best programming language for the cloud varies based on your applications architecture, size, and specifics, such as big data integrations and real-time. Before making the final decision that can play a key role in your organization’s future, consider the following:
- What is your tech stack? Does it include a legacy system?
- Who plans to create your application and what is their experience and expertise working with it?