Summarize cloud applications scalability concepts You are a software developer for a retail company that sells mobile phones via the web. Your company has deployed the entire website onto the public cloud. The mobile manufacturing company launches a new mobile every year. Your company’s website gets ten times the traffic during the new mobile launch. Customers often complain about the timeout and slow website performance. Some of them are even moving to other competitor’s websites, directly impacting your annual profit. The public cloud provides various options to handle website scalability. Your manager has asked you to investigate various alternatives and walk through the best possible cost-effective solution. The goal is to handle the scale-up of the application during the pick load and scale down during the less load. The public cloud company also provides a cost calculator to estimate the approximate cost to host the solution. In a Microsoft Word document of 5-6 pages, provide a step by step walk through to your manager and discuss the following points. Be sure use a professional tone and check grammar and spelling. Include a minimum of 5 scholarly resources.

Cloud applications scalability refers to the ability of an application to handle an increase or decrease in demand by automatically adjusting its resources. In the context of a retail company selling mobile phones via the web, scalability is crucial to handle the spike in traffic during the launch of a new mobile device.

There are several concepts and solutions that can be considered for achieving scalability in cloud applications. The goal is to handle the scale-up of the application during peak load and scale down during less load, while also being cost-effective. In this report, we will discuss various alternatives and provide a step-by-step walkthrough of the best possible cost-effective solution.

One option is to utilize auto-scaling groups provided by the public cloud provider. This feature allows for dynamic scaling of the application based on predefined rules. For example, when the CPU utilization of the server exceeds a certain threshold, additional server instances can be automatically launched to handle the increased load. Conversely, when the load decreases, idle server instances can be terminated to save costs. By leveraging auto-scaling groups, the application can dynamically adjust its capacity to match the demand, ensuring a smooth user experience during peak times.

Another approach is to utilize containerization technology, such as Docker, to maximize resource utilization and facilitate easy scaling. By packaging the application and its dependencies into containers, it becomes easier to deploy and manage multiple instances of the application. These containers can be efficiently and quickly scaled up or down based on the demand, allowing the application to handle high traffic during peak times.

Additionally, the use of a load balancer is crucial for distributing incoming traffic across multiple server instances. This ensures that no single server becomes overloaded, leading to performance issues. Public cloud providers offer load balancing services that can be easily integrated with the application infrastructure. The load balancer intelligently distributes requests to available server instances, effectively providing scalability and high availability.

In terms of cost-effectiveness, it is important to analyze the usage patterns and requirements of the application. Public cloud providers usually offer various pricing models, such as on-demand instances, reserved instances, and spot instances. On-demand instances provide flexibility but come with a higher cost, while reserved instances offer discounted prices for longer-term commitments. Spot instances allow for bidding on unused cloud resources, offering significant cost savings but with the caveat of potential termination if the spot price exceeds the bid.

To estimate the approximate cost to host the solution, the public cloud provider’s cost calculator can be used. This tool takes into account various parameters such as instance types, storage, data transfer, and other services used, providing an estimate of the monthly cost. By configuring the auto-scaling groups, load balancers, and instances based on the estimated traffic and usage patterns, a cost-effective solution can be designed and implemented.

In conclusion, achieving scalability in cloud applications is crucial for handling fluctuations in demand and ensuring a smooth user experience. By utilizing features such as auto-scaling groups, containerization, load balancers, and analyzing cost-effective pricing models, the application can effectively handle peak loads while minimizing costs. By following the step-by-step walkthrough provided in this report, the retail company can address the performance issues during new mobile launches and retain customers, ultimately impacting the annual profit positively.

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