To understand the cloud-native approach, consider Netflix, Uber and WeChat applications that expose their systems containing hundreds of independent microservices. With these independent microservices, companies respond instantly according to market changes. It enables them to update their limited portions of live and complicated applications and to scale them separately whenever it is needed.
Netflix, Uber and WeChat implemented cloud-native techniques to achieve speed, agility and scalability. Most importantly, companies drive speed and agility from the cloud infrastructure of cloud-native technologies. Containers, backing services, automation, modern design and microservices are the remaining five factors of cloud-native services, which are essential for boosting speed and agility. That is why cloud-native applications are perfect for complicated businesses.
Customers are no longer ready to face performance problems, recurring errors, or limited speed of applications. They don’t even wait for you to fix these errors; they’ll simply move towards your competitor. The cloud-native approach permits the business systems to bring exciting features, leverage rapid responsiveness, carry zero downtime for a user, whose demands continuously changes over time.
According to Cloud Native Computing Foundation (CNCF), cloud-native technologies are best for empowering the business to create, build, process scalable applications in the environment of public, private and hybrid cloud architecture. Presence of cloud infrastructure, microservices, service meshes, containers and declarative APIs epitomize this process. CNCF is already hosting a cluster of projects, including Envoy, Helm, Kubernetes, and Prometheus.
The computing foundation further added that these cloud-native technologies ensure loosely coupled systems that are strong, docile and observable. Since they are integrated with robust automation, they allow developers to build high-impact changes instantly and inevitably with minimal toil CoinPal. Thus, cloud-native systems are deployed to ensure instant change, high resilience and large-scale applications.
Cloud-native technologies build applications that contain service packages in containers and implemented as independent microservices along with the support of flexible infrastructure through agile DevOps exercises and consistent delivery workflows.
Other key features of cloud-native applications are as follows;
Cloud-native applications are a collective combination of separate, independent and robust services and packed as lightweight cases. These lightweight cases are dynamic compared to virtual machines as they are instantly scale-in and scale-out to adapt changes.
All services of cloud-native applications are integrated with extensive languages and frameworks, which are well-suited for performing multiple functionalities. All cloud-native services are polyglot, signifying that they have different languages, dynamic frameworks and various runtimes. This close-knit approach allows developers to build microservice and selects the best language to complete a specific job.
Cloud-native services and technologies exploit flexible APIs that are dependent on performance protocols such as REST (representational state transfer), gRPC (Google’s open-source remote procedure call) and NATs which is an open-source messaging system.
Cloud-native services are chronic and hard-wearing to assure the esteemed level of visibility and resiliency. As there exists a clean separation between stateless and stateful services, therefore, the architecture of complex cloud-native application provides a buoyant framework.
All the services of cloud-native applications pass through an independent life cycle that is supported and monitored by the DevOps process. Furthermore, repetitious continuous integration (CI) and continuous delivery (CD) pipelines work side-by-side to manage cloud-native applications thoroughly.