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Handbook for Developing Contemporary Cloud-Based Applications

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Businesses have long benefited from cloud-native application development’s ability to shorten time-to-market, improve performance, and foster flexibility and agility. By moving their systems to the cloud, they were able to get these outcomes. Migration alone, however, is insufficient to realize the true advantages concealed in the cloud. Application development needs are continuously evolving due to a wide range of devices, the data avalanche they generate, and different user interfaces.

Tech organizations must take a more advanced approach to cloud-based app development if they want to meet today’s problems and beat the competition. It involves changing the way we plan, develop, and maintain cloud software. First and foremost, though, contemporary application development is about balancing technological capabilities with business objectives. Businesses need to learn how to use innovations to meet the demands of their digitally-shaped clientele.

The companies’ ambition to ride the tide of digital change gave rise to a number of innovative ideas. Simply consider online markets and digital goods and services. Nowadays, consumers and sellers can readily connect through online channels, often even more effectively than through physical businesses. A couple of the successful examples are Booking.com and eBay. Regarding the new product and service models, the success of Uber and Netflix demonstrates how lucrative innovations may be.

Cloud-Native Application Development Principles

The following cloud-native application development principles will be examined in the upcoming chapters, along with how to modify them for the volatile business environment:

  • Assuming accountability

  • The architecture of microservices

  • Model of serverless operation

  • Containers and the paradigm of event-driven computing

  • Databases created with a specific purpose

  • Continuous Delivery and Continuous Integration (CI/CD)

  • Pervasive security

Teams are Prepared to Assume Responsibility, and Managers are Prepared to Take a Back Seat

Why do we begin talking about team dynamics in software development approaches? Because team members’ attitudes toward the development process determine their capacity for innovation. Brilliant engineers and architects, adept project managers, meticulous quality assurance professionals, and other experts prepared to assume the duty of managing and sustaining the complete project are the backbone of every outstanding cloud-based application.

The management of the organization must, above all, be willing to allow teams to be responsible for the creation of the entire product, not just a portion of it. Outstanding results are more likely to be produced by a team that is totally committed to the project’s success.

Encourage Groups to Take on Accountability:

  • Employ experts that have a product-owner mentality. Seek out engineers with extensive architectural training, but be sure they have the drive and vision.

  • Modify your organization’s mentality. Bring innovation to every aspect of administration, upkeep, and support.

  • Put the requirements of your customers first. Ensure that your product owners are innovating for the right reasons.

In Contrast to Monolithic Design, Microservices are Successful

Monolithic architecture is widely used in enterprise applications. It doesn’t appear like managing these apps is difficult in the first place. However, agility becomes an issue as soon as the applications expand to a huge database and acquire a significant amount of extra code.

As we previously said, an antiquated monolithic application may also impede the adoption of the ownership and accountability culture that companies ought to promote. Distributing team ownership of the application’s components is challenging with monolithic design. It is not expected of current application development to be sluggish, slow, and riddled with confusing dependencies.

In Return, What Do Microservices Provide?

Microservices allow complicated programs to be neatly divided into components that can be independently owned and worked on by a single team.

Instead, the monolithic application necessitates that all of its parts be connected. The main risk here is that if one little component fails, the entire system will fail.

There is a distinction when an app is composed of multiple independent components. To ensure that errors in one service don’t impact the system as a whole, all of the services are isolated from one another. It implies that problems can be resolved without impacting the deployment of the complete application.

Model of Serverless Operation

Today, a serverless operational model is one of the greatest ways to construct a microservice architecture while assisting the team in concentrating on their core competencies. This is because hardware is no longer required for a business to host applications. Check out our serverless architecture guide.

Instead, businesses can utilize Backend as a Service (BaaS), which is a third-party service, to connect an application to the backend cloud storage. Or simply execute the code on a Function as a Service (FaaS) cloud computing platform.

The Following are the Primary Benefits of Serverless App Architecture for Cloud-Native Application Development:

  • Lower price: Businesses merely pay for what they use because they are not required to have a server infrastructure. Platforms for cloud computing typically charge for execution time without accounting for idle time.

  • Endless expansion: The capacity of a server no longer limits a serverless application. The cloud provider will handle scalability automatically if a large number of users begin using the application. Development teams are spared the headache of possible overload or erratic traffic.

  • Fast delivery and quick updates: Serverless app design makes it simple to deploy apps and keeps teams responsive and flexible.

  • Superior quality: Your development team can concentrate on duties that are essential to the product while the third party handles infrastructure management. For example, quality assurance, business logic, and user experience.

 

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