Increasing numbers of people, businesses, and organizations are turning to the cloud for their IT needs. Additionally, the demand for applications continues to grow as everyone’s reliance on digital resources increases. Not only that, but consumers also want their existing applications to improve and give them a better user experience.

Now, imagine fusing these two cloud concepts: computing and applications, together. You get cloud native applications as a result, and this is a very productive partnership.

How much do you know about cloud native applications? If you’re not familiar with the concept, then read on. This article explores the game-changing potential of these applications, what they are, their defining characteristics, their ups and downs, and how to start working with them.

Level Up Now: Get Certified in Cloud Ops on AWS

Cloud Operations on AWSENROLL NOW
Level Up Now: Get Certified in Cloud Ops on AWS

Enhance your career prospects with expert-led University Courses at Simplilearn. Start learning today and transform your future.

What Are Cloud Native Applications?

When you hear the word “native,” you will most likely think “associated with or indigenous to a specific area,” as in “this plant is native to the Sahara,” or “I am a native Bostonian.” And yes, you’d be right — that’s how people usually use the term.

However, in the context of cloud native applications, the word “native” describes less of where the application comes from and more about what components are used to build and deploy it. The “cloud native” approach of software application development takes advantage of the cloud computing delivery model. So, it is less of a “where” the application exists and more of “how” it was created.

Thus, a native cloud application is an application that’s developed with cloud-based technologies and fully hosted and managed in the cloud. The application runs in the cloud from end to end; it has been written, tested, and deployed in the cloud, using cloud-based technologies and services.

Bear in mind, there is a profound difference between a cloud-based and a cloud-native application. A cloud-based application can be an older software program that’s adapted to run in the cloud. Cloud native applications are designed, run, and maintained in a cloud environment enabling you to build and run your scalable app in a public, private, or hybrid cloud. 

Ignite Your Knowledge in AWS Cloud Operations

Cloud Operations on AWSENROLL NOW
Ignite Your Knowledge in AWS Cloud Operations

Defining Characteristics of a Cloud Native Application

There are four main characteristics of these applications:

  • First, they emphasize high flexibility and agility, which means increased performance, better security, and an improved customer experience.
  • You can apply changes, customize the application, and run new features, all at faster speeds.
  • They don’t rely on a single monolithic software codebase; rather, they are constructed in a modular way, taking advantage of cloud computing frameworks and multiple infrastructures.
  • Finally, they consist of reusable, discrete components called microservices, designed to integrate into all types of cloud environments.

10 Key Attributes of Cloud Native Applications

The following are the ten main attributes common to all of these applications.

1. The applications are designed as loosely coupled microservices. Services belonging to the same application find each other via the application runtime but existing independently from the other services. When you correctly integrate the elastic infrastructure and application architectures, they are scaled out with efficiency and high performance.

2. These applications are deployed on a self-service, virtual, shared, and elastic infrastructure. As a result, the applications can align with the underlying infrastructure, adjusting themselves to the varying load, dynamically shrinking and growing as needed.

3. They are isolated from the server and operating system dependencies. In other words, they don’t have an affinity for a particular machine or operating system. These applications function at a higher abstraction level. However, if a microservice needs specific capabilities like graphics processing units (GPUs) or solid-state drives (SSDs), a subset of machines can only provide.

4. Each application service goes through an independent life cycle managed through an Agile DevOps process. Developers can have several continuous integration/continuous delivery (CI/CD) pipelines working in tandem, deploying and managing cloud native applications.

5. They are packaged as lightweight containers, a collection of autonomous, independent services. Containers, unlike virtual machines, can quickly scale-in and scale-out. Scaling shifts to containers optimizes infrastructure utilization.

Find the Right AWS Course

Simplilearn's AWS courses offer a comprehensive pathway for professionals aiming to master Amazon Web Services and enhance their career prospects in cloud computing. Whether you are a beginner looking to understand the basics or an experienced professional seeking advanced skills, Simplilearn's expert-led training provides in-depth knowledge and hands-on experience with AWS's core services and solutions. Our courses are designed to align with industry standards and prepare you for AWS certification exams, ensuring you have the credentials and expertise that employers value. Elevate your cloud computing capabilities with Simplilearn’s AWS courses and gain the competitive edge needed to thrive in today’s tech-driven world.

Course NameSkills You'll LearnExplore Program
AWS Cloud Practitioner EssentialsMaster AWS Cloud Adoption Framework Learn AWS pricing models and supportEnroll Now
AWS Technical EssentialsAWS Compute, AWS Storage Monitoring and Optimization
AWS Networking
Enroll Now
Microsoft Certified: Azure Administrator Associate AZ-104Administer Azure AD users and groups Build and configure an Azure App ServiceEnroll Now
Microsoft Certified Azure Developer Associate: AZ-204Practice labs and projects with integrated Azure labs Official course completion badgeEnroll Now
Architecting on AWSAWS Skill Builder labs Official AWS live class training contentEnroll Now
Cloud Operations on AWSLearn CloudOps lifecycle processes Live online training from AWS-authorized instructorsEnroll Now
AWS Solutions ArchitectMaster IAM, VPC, EC2, EBS 16 live demosEnroll Now
AWS Devops CertificationMaster CI CD Pipelines, Contenrization & More Infrastructure Design and ImplementationEnroll Now
Microsoft Certified DevOps Engineer Expert AZ-400Design and implement build and release pipelines Azure exam voucher includedEnroll Now
Advanced Architecting on AWSMaster best practices for security, networking, serverless architecture, and cost optimizationEnroll Now

6. Each application service is developed using best-of-breed languages and frameworks that are best suited for the functionality. These applications are polyglot, using different languages, runtimes, and frameworks. For instance, you could build a real-time streaming service based on WebSockets, developed with Node.js, and choose Python to expose the application programming interface (API). This approach to developing microservices lets you choose the perfect language and framework for the specific task.

7. Centered around APIs for interaction and collaboration: Cloud-native services utilize lightweight APIs based on protocols like NATS, representational state transfer (REST), or Google’s own open-source remote procedure call (gRPC). NATS contains publish-subscribe features that facilitate asynchronous communication within the application. Developers and programmers use REST to expose APIs over hypertext transfer protocol (HTTP). Users rely on gRPC for performance, and typically used to let services communicate with each other.

Transition to Cloud Operations in Just 3 Days!

Cloud Operations on AWSENROLL NOW
Transition to Cloud Operations in Just 3 Days!

8. The applications are architected with a clean distinction between stateless and stateful services since the two services exist independently. Persistent and durable services follow a different pattern that ensures higher availability and resiliency.

9. They can be automated to a greater extent, meshing well with the infrastructure as code concept. In fact, large and complex applications require a certain level of automation.

10. Finally, applications that are native to the cloud line up with governance models defined through a fixed set of allocation policies. They conform to policies like storage and central processing unit (CPU) quotas and network policies responsible for allocating resources to the services.

Advantages and Disadvantages of Cloud Native Applications

Like everything else related to IT, these applications have their upsides and downsides. Here’s a look at the good and the bad features.

Advantages

  • They are easier to manage since iterative improvements happen with DevOps and Agile processes.
  • Since the applications consist of individual microservices, they can be automatically improved incrementally, thereby smoothly and adding new or improved features.
  • Improvements are made non-intrusively, so end-users experience no service disruption or downtime.
  • The elastic infrastructure makes scaling easy.
  • The process closely conforms to the speed and rate of innovations required in today’s business IT environment.

Skyrocket Your AWS Career: Earn Top Salaries!

Cloud Operations on AWSENROLL NOW
Skyrocket Your AWS Career: Earn Top Salaries!

Disadvantages

  • Although application microservices make improvements easier, there are more elements to manage. There’s no longer a single large program but a series of small, discrete services.
  • Cloud native applications need extra tool sets to replace conventional monitoring structures and DevOps pipelines to control microservice architecture.
  • These applications facilitate rapid development and deployment, but not every organization can comfortably adopt that faster pace.

Cloud Native Applications vs. Traditional Enterprise Applications

So how do applications native to the cloud differ from traditional applications? The following chart provides a head-to-head comparison.

Cloud Native Applications

Traditional Enterprise Applications

They are developed in a framework that maximizes flexibility and saves time.

They take a lot of time to develop and are released as one large product.

Developers use the platforms to abstract away dependency on operating systems.

Traditional applications let developers build close dependencies between the application and the underlying operating system, storage, hardware, and backing services. Unfortunately, these dependencies make scaling and migrating the traditional application across a new infrastructure risky and complicated.

They have a faster update release pace, meaning a quicker response time to users who need updates or are reporting bugs.

It takes longer to search for the problem in the large amounts of code used in big, traditional applications.

They are cost-effective, where developers pay for only what they use.

Users must set up data storage and services in advance, with fewer opportunities to scale down to a more economical level.

They are predictable, relying on an automated, container-driven infrastructure to control the way software is written.

Each application is developed differently, so it’s hard to realize all the advantages of running on a cloud-native platform.

They facilitate continuous delivery (CD), with updates released the moment they are ready.

These applications rely on the waterfall development model, releasing software in stages that could mean weeks or months.

They have automated scaling, consistently using the same rules across deployments of all sizes.

These applications depend on manual scaling, but human limitations make scaling a slow and potentially error-ridden endeavor.

Cloud Native Applications and Tools

Developers working with these applications have a great toolbox at their disposal. Here are a few of the better applications and tools available.

  • Draft.

This developer application has two parts: Draft Create, which spins up artifacts needed to run Kubernetes applications, and Draft Up, which builds container images and deploys them to a Kubernetes cluster.

  • Telepresence.

Telepresence boosts application development by enabling developers to create services locally, connect the services to remote clusters, and automatically trigger an update when local changes occur.

  • Level Up Now: Get Certified in Cloud Ops on AWS

    Cloud Operations on AWSENROLL NOW
    Level Up Now: Get Certified in Cloud Ops on AWS

    JenkinsX.

This tool helps developers construct CI/CD pipelines without knowing Kubernetes or staying current with its growing list of functionalities.

  • Gitlab.

This extremely popular CI/CD platform integrates with the larger Gitlab tool suite.

  • Weavenet.

This virtual two-layer network application connects multiple containers either residing on the same host or across multiple hosts.

Enhance your Kubernetes skills and gain credibility in the field with the Certified Kubernetes Administrator Certification Training. Enroll now!

Do You Want to Become a Kubernetes Administrator?

Kubernetes is one of the most popular container orchestration tools in the IT community today. Consequently, there’s a strong demand for Kubernetes administrators. The Certified Kubernetes Administrator (CKA) Certification Training Course, founded by the Cloud Native Computing Foundation (CNCF), enhances your Kubernetes skills and gives you credibility in the field. At the same time, it prepares you for the CKA exam.

The course uses projects to cover all relevant domains, including application lifecycle management, installation, configuration and validation, networking, scheduling, security, cluster maintenance, core concepts, storage, and troubleshooting. Once you finish the course, you’re ready for the exam.

Ziprecruiter reports that Kubernetes Administrators in the United States earn an annual average of USD 147,732. Furthermore, Payscale indicates that Kubernetes Administrators in India make a yearly median salary of ₹1,213,924.

Check out Simplilearn’s cloud computing courses today and enrich your skillset with cloud-based expertise!

Our Cloud Computing Courses Duration and Fees

Cloud Computing Courses typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Post Graduate Program in DevOps

Cohort Starts: 15 Jan, 2025

9 months$ 4,849
Post Graduate Program in Cloud Computing

Cohort Starts: 15 Jan, 2025

8 months$ 4,500
AWS Cloud Architect Masters Program3 months$ 1,299
Cloud Architect Masters Program4 months$ 1,449
Microsoft Azure Cloud Architect Masters Program3 months$ 1,499
Microsoft Azure DevOps Solutions Expert Program10 weeks$ 1,649
DevOps Engineer Masters Program6 months$ 2,000

Get Free Certifications with free video courses

  • Introduction to Cloud Computing

    Cloud Computing & DevOps

    Introduction to Cloud Computing

    2 hours4.685.5K learners
  • Introduction to Google Cloud Platform

    Cloud Computing & DevOps

    Introduction to Google Cloud Platform

    4 hours4.515K learners
prevNext

Learn from Industry Experts with free Masterclasses

  • Growing as an AWS Solutions Architect: Know Your Certification Route

    Cloud Computing

    Growing as an AWS Solutions Architect: Know Your Certification Route

    8th Jan, Wednesday9:30 PM IST
  • AWS Certifications Explained: Know the Right Path for You

    Cloud Computing

    AWS Certifications Explained: Know the Right Path for You

    10th Dec, Tuesday9:30 PM IST
  • From Edge to AI: Cloud Innovations That Are Driving Career Opportunities in 2025

    Cloud Computing

    From Edge to AI: Cloud Innovations That Are Driving Career Opportunities in 2025

    26th Nov, Tuesday7:00 PM IST
prevNext