Cloud native is an approach to software development that capitalizes on the distributed nature of cloud computing, as well as the cloud’s inherent advantages. Cloud-native applications are purpose-built on public, private, or hybrid cloud platforms and their scalability, flexibility, resiliency, and portability to other cloud platforms make them easy to operate and manage. Organizations that adopt a cloud-native approach can gain a competitive edge, thanks to all of the benefits of cloud computing, as well as its ease of customization and the ability to make fast, frequent updates to meet evolving customer needs.
Sometimes the terms “cloud native” and “cloud-enabled” are mistakenly used interchangeably when they represent two very different concepts.
Cloud-enabled typically means altered or retrofitted to operate in the cloud. For instance, cloud-enabled applications are applications that might have once resided on-premises but were then rearchitected or rebuilt for a cloud platform. Rearchitecting can be a lot of work and getting an on-premises application to work in the cloud will likely come with some challenges. At the very least, a rearchitected app won’t provide the inherent agility and flexibility of cloud-native applications.
While cloud-enabled applications use a variety of cloud services, they typically still depend on some on-premises infrastructure to run in the cloud.
Some of the major differences between cloud-enabled and cloud-native applications include:
Original design – While cloud-native apps are developed with cloud services and technologies in mind, cloud-enabled applications must be adapted to operate in the cloud.
Architecture – A distributed architecture that uses microservices is common in cloud-native applications; cloud-enabled applications are built using a more traditional architecture.
Resource utilization – Optimizing the usage of resources is an inherent part of cloud-native applications, allowing for dynamic scaling and a high degree of flexibility. Cloud-enabled applications aren’t designed to take advantage of cloud resource optimization features.
Resilience – Part of being cloud native is leveraging reliability capabilities such as built-in redundancy and automatic failover. Cloud-enabled applications don’t typically include those capabilities unless they’re purposely built in during the rearchitecting phase.
The capabilities and benefits of cloud-native applications make them ideal for situations where flexible deployment, high availability, and ultra-fast scalability are a must. Some of the components that enable that type of performance include:
Microservices architecture and cloud delivery and deployment (CD/CD) – By creating an application as a collection of small, independent services, developers can update separate pieces of an application without affecting the rest of it. And CD/CD enables rapid, frequent updates and bug fixes.
Ultra-scalability – Cloud-native applications can handle rapid fluctuations in demand and traffic because they can scale up or down quickly and easily. That’s a good capability to have in businesses such as retail, where online purchasing can hit massive demand peaks during certain times of the year.
The following are some examples of use cases that benefit significantly from cloud-native applications and capabilities:
E-commerce platforms – Cloud-native applications provide elastic scaling to accommodate massive fluctuations in traffic and user demand.
Streaming media platforms – Whether music, movies, or gaming, these online platforms can go through various periods of high traffic and demand, and need to be able to deliver 24/7.
Live chat platforms – Live chat traffic can also fluctuate greatly depending on a number of factors, and cloud-native applications can assign server resources dynamically to keep everyone connected and talking.
Digital banking – Microservices enable a range of banking functions and also enable quick software updates. Containers enhance online security, which is critical in this industry.
Medical imaging and data analytics platform – Cloud-native technologies ensure resilience and scalability to enable fast data processing and analytics for better patient outcomes.
Property rental platforms – Large platforms such as AirBnB or VRBO use cloud-native applications to deliver dynamic scaling for millions of listings. Containers and microservices keep the platform reliable and available.
Real-time data analytics – Any system that provides real-time analytics requires an architecture that can keep up with enormous volumes of data from a range of sources. The distributed nature of cloud-native applications is made for this.
Customized consumer recommendations – Cloud-native applications use microservices to process and analyze consumer behavior and preferences so they can offer up personalized product or service recommendations.
Automated “smart home” systems – Cloud-native applications use a variety of APIs to automatically manage connected appliances and allow users to interface and input commands.
Location-enabled services integration – An application such as Google Maps uses APIs to allow application developers to integrate tried-and-proven mapping capabilities into their new products.
Traditional applications were developed in one massive block of code that contained every functionality required. They were also typically created for a specific platform or operating system. Improving or updating these apps was difficult and time-consuming.
Cloud-native applications, on the other hand, are modular. They’re built in the cloud and exist only in the cloud. By leveraging cloud benefits, they are much more flexible, scalable, and resilient than legacy apps. They all typically include the following components:
Application migration can be a challenge, especially when moving an app from an on-premises environment to the cloud. However, you can make it easier and more seamless with some planning and preparation.
The planning phase includes the following actions:
Portfolio evaluation – Assess your organization’s current applications to determine which ones are best suited to cloud migration. Relevant criteria should include the business value of moving the application, how complex it will be, and whether it’s technically feasible.
Assessment of changes needed – Note which applications will need to be redesigned, refactored, or reauthored, and in what ways. This will typically entail identifying how to break apps down into microservices, implement containers, and so on.
Cloud provider engagement – Decide which cloud provider you’ll use to migrate your applications. Important factors in this selection include level of support, pricing, services provided, and compliance.
Once all planning has been completed, it’s time to actually migrate selected applications. This usually requires:
Breaking applications into microservices and containerizing them while making sure all dependencies are included.
Implementing a platform to orchestrate containers, such as Kubernetes. This platform will also manage container deployment and scaling.
Preparing the destination server architecture to meet your needs in relation to speed, bandwidth, redundancy, security, and so on.
Migrating data from the on-premises application to data storage in the cloud while maintaining the data’s integrity and consistency. Also, reconfiguring the application so it runs correctly in the cloud environment.
Deploying and comprehensively testing certain critical components of your application in the cloud-native testing environment to make sure it operates correctly before moving everything to production.
Monitoring the application once deployed in the cloud to identify any issues with performance, scalability, or resource allocation.
Stay aware that problems can arise in any stage of this process, and it can take several weeks to feel confident that an application is stable in its new cloud-based environment.
Cloud-native application development is the modern approach to building scalable, flexible, resilient applications. Below are some best practices for making cloud-native development work for you:
Cloud-native development offers a wide variety of options when it comes to architecture, app features, deployment strategies, and technology stack. Giving developers a chance to own the entire project from concept to deployment and make those decisions allows them to innovate and commit more fully to the project’s success.
Microservices and lightweight containers are critical to cloud-native success. They make application development easier and set the application up for simpler management, improvement, updates, and more. When it comes to the tech stack, it should enable the specific requirements and features of the application. For instance, some solutions are ideal for data processing while others might work best at creating microservices.
Continuous integration (CI) is a common DevOps practice in which any code changed by a developer is integrated automatically into a shared location—so all developers can use the latest code for every part of the process. Continuous delivery (CD) goes steps further than CI by automating the code changes and preparing them to move from development and/or testing to production. CI/CD automates the software release process and allows developers to detect and resolve bugs quickly. It also improves communication among team members and can help reduce costs by accelerating time to market.
Infrastructure as code (IaC) means creating code that manages and defines resources in an infrastructure. It can be automated and tested just like actual app code. With IaC, DevOps can achieve immutable infrastructure, which boosts predictability and stability by creating a new instance every time a change is made instead of modifying an existing instance. IaC also helps team members make changes more safely and efficiently.
Going serverless allows developers to develop applications without the need to spend time managing a server. Serverless platforms can be more cost-efficient because management overhead is eliminated and you only pay for the resources used by your code. Scaling is simple and fast, and many providers of serverless platforms often have built-in compliance and security tools.
It’s important to maintain awareness of your system’s performance and other criteria. Observability entails gathering information from a wide range of sources, such as user behaviors, system logs, application performance measurements, accessibility, and more. Staying observant allows you to identify and resolve accidental issues or malicious behaviors quickly, get to the root cause of issues, and see where your system might be vulnerable.
When developing a cloud-native application, DevOps should build security protocols into the development process. Rather than approaching security after an application is built, it should be part of every step along the way. Consider how to improve access control, data encryption, network security, intrusion detection and remediation, and more. A security approach during development will also include continual testing and monitoring.
Service meshes are helpful in cloud-native application development. It’s a layer of software that manages all communications between one microservice and another within an application. Because it exists outside each microservice’s code, it can operate across networks and multiple management systems. With a service mesh, developers can concentrate on creating the application and don’t have to manage those often-complex details of communication.
Cloud computing enabled the era of DevOps, which is essentially a partnership between IT operations (Ops) and software development (Dev) teams. It focuses on integration of processes as well as collaboration and effective communication. The ability to scale in the cloud and easily, seamlessly provision resources on demand made DevOps possible, an approach that values fast, efficient application development, testing, and deployment with many small iterations along the way.
When organizations take on a cloud-native approach to applications and computing, they also enable the benefits of continuous integration (CI) and continuous delivery (CD), which help lead to applications that are extremely resilient, observable, scalable, and manageable.
While cloud computing paved the way for DevOps, DevOps also in turn helped the cloud evolve, through a high degree of automation and increased collaboration between software development and IT operations. DevOps practices are able to flourish in the cloud and cloud-native application development is fast becoming imperative for any organization that wants to stay competitive in today’s fierce marketplace.
Nutanix understands the modern infrastructure challenges that today’s organizations face—and has developed solutions to ease those difficulties and help your business thrive. We offer hyperconverged infrastructure (HCI) and hybrid multicloud solutions that can make it simple to both build and deploy new apps in the cloud and migrate existing applications to the cloud.
With Nutanix Kubernetes Platform (NKP), you can speed time to market and innovate more quickly with easy container management across hybrid, multicloud, and on-premises environments. Add in Nutanix Data Services for Kubernetes (NDK) and you get a range of advanced data services designed specifically for cloud-native environments. Using the two solutions together, you can:
Develop applications faster
Simplify development, testing, and deployment with automation
Get instant platform engineering with APIs and GitOps workflows
Gain deep insight into all clusters and environments from a single pane of glass
Enjoy enterprise-class security features built in and designed to meet strict security standards
Control cloud-native apps at the application layer
Simplify and unify provisioning and operation of cloud-native apps
And much more