![]() Because of this nature of traditional application architecture and surrounding ecosystem, a traditional application security posture is also very static and applied at fixed points in the network. Application components were tightly coupled with the underlying hardware in data center making them fairly immobile. The traditional security approach was designed for very rigid environments, where there was a clear demarcation of what is trusted and what is not. How does this change the traditional security approach? This steep upward trend in such a short time tells us a clear story that the businesses are finding real value in cloud native technologies. ![]() On similar lines, Gartner predicts that 75% of global organizations will run containerized applications in production by 2022, this number was a little under 30% by mid 2020. Moreover, 82% respondents are using automated CI/CD pipelines in production. Container usage in production environments has gone up from 23% in their first survey in 2016 to 92% in 2020, this includes a 300% increase over last 3 years. To put things in perspective, as per the annual CNCF survey, over a period of 5 years between 20, containers have become the norm. Containers, service meshes, microservices, immutable infrastructure, and declarative APIs exemplify this approach”. Combined with robust automation, they allow engineers to make high-impact changes frequently and predictably with minimal toil. What matters the most is the approach to achieve a truly decoupled, agile and highly automated ecosystem by leveraging various cloud offerings.Ĭloud Native Computing Foundation (CNCF) sums it up as – “the techniques that enable loosely coupled systems that are resilient, manageable, and observable. As far as the cloud native architecture is concerned, it does not matter where the application is deployed, the application could be in a public cloud, private cloud or even in a hybrid or multi cloud mode. The document will also cover detailed design implementation steps to achieve a Cisco Validated Design (CVD) for a cloud native application in AWS.Īn application that is architected to take advantage of the cloud capabilities to minimize the complexity in application development and maintenance, and enabling rapid releases, essentially qualifies as a cloud native application. This guide is focused on Amazon Web Services (AWS) as cloud service provider. We will identify critical business flows, attack surfaces and corresponding security controls required for a given cloud native application environment. In this design guide, we will explore an end-to-end architecture of a cloud native application ecosystem. Traditional security posture is not sufficient to secure the modern-day applications, at the same time it’s also unable to keep up with the velocity of application development. With this shift, we are also observing a fundamental transformation in the way we used to secure our applications. And therefore, public cloud services which started as Infrastructure as a Service (IaaS) model very quickly branched into other models such as Platform as a Service (PaaS) to Container and Function as a service (CaaS and FaaS) and Software as a Service (SaaS) model, to address a range of these issues. However, the public cloud in its nascent stage still didn’t fully solve issues like velocity of application development, decoupling applications from underlying hardware, reducing dependencies between different components of the application itself and efficient consumption of the hardware resources. Public cloud service providers solved a lot of these problems, for example, while provisioning a replacement server took weeks in traditional environments, it took seconds in the cloud. This necessity was addressed to an extent by the advent of public cloud infrastructures. Therefore, the evolution of applications and the ecosystem for application development was the need of the hour. There was no doubt about the merits of digitization, but the challenge was in scaling it quickly and in a cost and resource efficient manner. As applications grew bigger, it became increasingly challenging to update current features and release newer ones without breaking the existing functionalities. During this period of time, the biggest bottleneck to a more widespread digitization was the ability to scale and lack of any standard approach to architect an agile and decoupled application. ![]() Over the last decade, most businesses have undergone digitization at a massive scale. ![]()
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