DevOps Institute

6 Requirements for Cloud-Native Software

Cloud

February 24, 2020

By: Daniel Oh  

For many years, monolithic applications were the standard enterprise architecture for achieving business requirements. But that changed significantly once cloud infrastructure began treating business acceleration at scale and speed. Application architectures have also transformed to fit into the cloud-native applications and the microservicesserverless, and event-driven services that are running on immutable infrastructures across hybrid and multi-cloud platforms.

The cloud-native connection to Kubernetes

According to the Cloud Native Computing Foundation (CNCF):

“Cloud native technologies empower organizations to build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds. Containers, service meshes, microservices, immutable infrastructure, and declarative APIs exemplify this approach.

“These techniques enable loosely coupled systems that are resilient, manageable, and observable. Combined with robust automation, they allow engineers to make high-impact changes frequently and predictably with minimal toil.”

Container orchestration platforms like Kubernetes allow DevOps teams to build immutable infrastructures to develop, deploy, and manage application services. The speed at which rapid iteration is possible now aligns with business needs. Developers building containers to run in Kubernetes need an effective place to do so.

Requirements for cloud-native software

What capabilities are required to create a cloud-native application architecture, and what benefits will developers gain from it?

While there are many ways to build and architect cloud-native applications, the following are some ingredients to consider:

  1. Runtimes: They are more likely to be written in the container-first or/and Kubernetes-native language, which means runtimes such as Java, Node.js, Go, Python, and Ruby.
  2. Security: When deploying and maintaining applications in a multi-cloud or hybrid cloud application environment, security is of utmost importance and should be part of the environment.
  3. Observability: Use tools such as Prometheus, Grafana, and Kiali that can enhance observability by providing real-time metrics and more information about how applications are being used and behave in the cloud.
  4. Efficiency: Focus on a tiny memory footprint, small artifact size, and fast boot time to make applications portable across hybrid/multi-cloud platforms.
  5. Interoperability: Integrate cloud-native apps with open source technologies that enable you to meet the requirements listed above, including Infinispan, MicroProfile, Hibernate, Kafka, Jaeger, Prometheus, and more, for building standard runtime architectures.
  6. DevOps/DevSecOps: These methodologies are designed for continuous deployment to production, in-line with the minimum viable product (MVP) and with security as part of the tooling.

Making cloud-native concrete

Cloud-native can seem like an abstract term, but reviewing the definition and thinking like a developer can make it more concrete. In order for cloud-native applications to be successful, they need to include a long, well-defined list of ingredients.

sidebar graphic with register for London SKILup Festival on September 13, 2022CTA

Membership at DevOps Institute

related posts

8 Insights From the Upskilling IT 2022 Report [Infographic]

8 Insights From the Upskilling IT 2022 Report [Infographic]

By Eveline Oehrlich Chief Research Officer, DevOps Institute This year’s Upskilling IT Report reveals a critical need to close DevOps skills gaps, identifies top skills capabilities, and highlights emerging job roles to help individuals and organizations accelerate IT...

[EP81] What is a “Radical Enterprise” with Matt Parker

[EP81] What is a “Radical Enterprise” with Matt Parker

On this episode of the Humans of DevOps, Jason Baum is joined by Matt K. Parker, author of A Radical Enterprise: Pioneering the Future of High-Performing Organizations. Matt and Jason discuss successful and truly radical business models, what leads folks to try and...

What Are Cloud AI Developer Services?

What Are Cloud AI Developer Services?

Cloud AI Developer Services are growing and cloud providers now offer these services to developers. These hosted models allow developers to gain access to Artificial Intelligence/Machine Learning (AI/ML) technologies without needing deep data science expertise.  As an...