Infrastructure services consume a large part of IT budgets. It is therefore imperative for organizations to focus on cost and productivity of infra services to best utilize them.
AWS was the first to offer Infrastructure as Code (IaC) via AWS CloudFormation as a part of AWS DevOps. It enables developers and systems administrators to easily create and manage a collection of related AWS resources. They can provision and update them in an orderly and predictable way. Developers can use AWS CloudFormation’s sample templates or create their own templates. The concept of IaC is as old as the practice of DevOps. There are many experts who argue that DevOps wouldn’t be possible without the use of IaC.
The cloud-native approach to software development has brought a paradigm shift to how applications scale and self-manage themselves, as the demand surge.
The increasing business complexity and demand for highly scalable applications have brought a paradigm shift in how software applications are engineered. In the past few years, different software architectures are adopted by developers to reduce code complexity, improve fault isolation, and minimize time-to-market.
As a result of growing customer demands to build large-scale and complex applications, microservices has become a buzzword. The number of businesses building or switching from monolithic to microservice architecture is growing at a rapid pace. Leading companies like Disney, Airbnb, Twitter etc. are adopting microservice architecture to support continuous delivery and scalability of applications.
Just think of an eCommerce website that you last visited. You must have used the search bar of the site to look for the product you’re interested in. There must be some product recommendations for you, based on your last purchase. You might have added the product into cart and made payment to buy it.
With increasing complexity and demand for highly scalable and robust applications, the conventional monolithic architecture is no longer the best choice. After a certain threshold, monolithic architecture tends to hinder the application performance and scalability. Moreover, with an enormous codebase, making changes to the tightly coupled, dependent processes in the monolithic architecture drastically increases the impact of single process failure.