6 Key Steps for Driving Efficient Cloud Application Development
Forbes reports in the study over enterprise states that 83% of enterprises workloads will be in the cloud by 2020 state that being the leading factor of 63%, digital transformation of enterprises is also encouraging public cloud engagement and adoption. While adopting of cloud computing strategy, 50% of IT professionals do believe artificial intelligence and machine learning are efficient in playing a significant role in the coming future. With 10+ years of experience in Cloud Application solutions offerings, OURS GLOBAL’s Cloud Application Development Services, we have committed to application development requirements over specifically designed platforms with resilient and easy to manage solutions.
Businesses find it hard even with an amicable skilled talent team of developers for designing and building application architecture for private or public clouds. Poorly designed applications derived from lacking skills and experience don’t deliver the value on the cloud platform that enterprises aim for. This article emphasizes steps for the building of cloud-ready applications efficiently as per business requirements. The step-by-step approach described below will blend traditional software development concepts and review everything that’s getting updated with the cloud. Immerse into our recording of best practices, concepts, and procedures for success in Application development.
Following are The Six Steps for Driving Efficient Cloud Application Development:
1. Specific Topologies For Coding Applications
The choice over cloud platforms making it easy for scaling up and down makes them favorites over Application development. Successfully done through virtual applications, and in some cases manually, most of the newcomers acknowledging the huge choices, for programs when shited from a traditional application development environment to a cloud-based one. Rather than sticking to specific technologies, businesses must attend to safeguarding their applications amidst dynamic scaling. While building an application to be generic, businesses must avoid any issues that are arisen in the cloud transition. While using singleton developing a shared repository backup before moving to the cloud is advisable.
2. Designing Multi-Service Application
Deployment of cloud applications as a collection of cloud services is always ideal but for it, application developers must develop from the data to each service and later combine into composite/complete service composite applications. Through service-based or service-oriented architecture approaches, developers thus can easily capture the essence of a smooth user experience. All practices for the development of tightly coupled applications that focus on the user interface rather than the underlying applications must be strictly avoided. The reason for this approach is that while developing an application architecture for the cloud, Application development teams must commit to complex distributed systems that easily take advantage of loosely coupled applications developed over services, easily enabling decoupling from data. Separating application services physically and executing proper machine instances, service/API managers & governance technology cater service directories for helping track varied services that make up the whole application. With additional benefits of service reuse from other applications or coarse-grained services, businesses can thus break up applications into subsidiary services that have high value while application development.
3. Data Decoupling
Tightly coupling the data to the application, the resultant won’t be counted within the cloud. With complex distributed systems over private and public cloud, such complex distributed systems work at their best with application architectures as this enables breaking out processing and data into varied components. Once decoupled, the Developer team must have a clear option for the storage and processing of data over public or private cloud instances. Businesses must go for choices of taking advantages and performance while taking this decision. Database reading and writing across the open Internet can cause latency, and database communications can be an easy determination of data location aside from the services and applications that are required for leveraging it. With caching systems, the Developer team can cater additional database performance by local storage and easy data access, cutting down database read requests revert to the physical database. While building these into the applications, however, special care should be given in testing against the application data for the determination of cache efficiency.
4. Optimized Communication Between Application Components
Decoupled applications-both data and services are clear proof of a poorly architected cloud. Constant communication through applications will lower the overall performance and when such applications are distributed across networks or open internet, where tolerance over high latency is always preferred. The application development team must be well focussed on the optimization of communication between application components. A combination of communications into a unified data stream rather than constant communication will be possible if the application components reside on a single platform.
5. Model and Design for Application Performance and Scaling
The Application Development team must have a concrete understanding of how the application can be scaled under varying loads. Designing application architecture for performance infers representation of application behavior under increasing loads. How the application handle increased traffic with load over application servers and back-end databases increases with user count. Increasing database instances for handling the additional load helps a[pplications for the climbing up network capacity. Arming this model helps application experts for approaches in scaling applications and automatically spin up resource instances as per requirement. they can also think of incorporating auto-scaling capabilities for automatic provisioning. Studying Application workload profiles and defining paths for scaling the application, as well as putting mechanisms will ensure to succumb the requirements of scaling.
6. Ensuring Systematic Security
Application developers should highly prioritize security for making cloud application solutions and must be built into the application architecture. Choosing ideal security approaches and technologies prior to application development can make the application to be effective and address compliance or other data level security issues. The application must also be capable of handling sensitive data in the most specified ways that maintain required security levels. Making applications capable of leveraging identity and access management (IAM) will cut down security costs, boost agile security measures in the configuration of security over cloud-based applications. IAM within cloud application deployments will support enterprises in modernizing security approaches and technologies that align with the incorporation of public clouds. While designing security into applications, users can get the advantage of native features of both Cloud and IAM as per business requirements.
Businesses will have to hugely invest in varied fields and must have extensive knowledge of sound design, testing, and learning right from their practices. Most of the developers who deploy applications on private or public cloud platforms commit blunders that they won’t recognize, correct, and learn from their mistakes that guide them in identifying the ideal ways for application Development. Monitoring overall application performance by incorporating application-aware performance monitoring tools, and development of interfaces within the application for driving performance monitoring for innate application provisions, businesses must consider outsourcing to a reputed Application Development service provider.
We at OURS GLOBAL’s Cloud Application Development Services believe in taking approaches of service orientation with priority for compiling flexible commitment towards longer initial development cycles and bigger budgets. Even though businesses will have to pay more for application development in the cloud than they did for traditional application development, the investment can pay huge dividends in the years to come.
