Containers & Cost optimization
Containers manage and secure applications that are independent of the infrastructure that supports them. Industries are using Kubernetes (the open-source platform) to manage these containers at scale. Kubernetes and the host of powerful tools standardize the infrastructure and toolings. This Open-source model along with tools drives down the cost and enhances cloud-native capabilities that are serverless which allow running dynamic workloads and pay-per-use compute time in milliseconds
Developers can treat each service independently of others due to loosely coupled services.
With this developers can deliver fine-grained functionality by focusing more on the core functionality of each service which has lead to efficient lifecycle management of all applications.
Developed with best suit language and frameworks
In Cloud-native applications, each service is developed using the language and framework best suited for the functionality
API's for interaction and collabration
Cloud-native services use lightweight APIs that are based on protocols such as representational state transfer (REST), Google’s open source remote procedure call (gRPC) or NATS
Deployed on self-service, elastic, cloud infrastructure
Cloud-native applications are deployed on virtual, shared and elastic infrastructure. They may align with the underlying infrastructure to dynamically grow and shrink — adjusting themselves to the varying load
Cloud-native applications can be highly automated. They play well with the concept of infrastructure as code. Indeed, a certain level of automation is required simply to manage these large and complex applications
Superior customer experiences
Building a great customer experience requires you to ship new features faster and keep iterating continuously.It also means you need to take a mobile-first approach to application development and follow human-centred design practices including design thinking
Defined, policy-driven resource allocation
Cloud-native applications align with the governance model defined through a set of policies. They adhere to policies such as central processing unit (CPU) and storage quotas, and network policies that allocate resources to services