Cloud-Native Development
Definition
Cloud-Native Development
Cloud-native development means building applications that use the cloud's elasticity, managed services, and automation capabilities by design. Containers, microservices, serverless functions, and declarative infrastructure are the building blocks.
In detail
Lifting a legacy application into a cloud VM gives you a cloud bill, not cloud benefits. Cloud-native applications are designed to scale horizontally, recover from failures automatically, and deploy through automated pipelines.
The Cloud Native Computing Foundation (CNCF) defines cloud-native technologies as those that empower organisations to build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds.
How Tallence helps
Tallence builds cloud-native applications on AWS using containers, Kubernetes (EKS), and CI/CD pipelines.
Learn more about Cloud-Native DevelopmentRelated terms
Microservices
An architecture pattern where applications are decomposed into independently deployable services, each owning its domain, data, and deployment lifecycle.
DevOps
An engineering practice that aligns development and operations teams around shared goals, automated pipelines, and a culture of continuous delivery.
Container Operations
Managed Kubernetes operations covering node patching, container security, 24/7 monitoring, and compliance reporting across AWS EKS, hybrid, and on-premises clusters.
Explore more terms
All glossary terms→FinOps
An operating framework that connects technology, finance, and business teams to manage cloud spending with accountability and transparency.
Site Reliability Engineering (SRE)
An engineering discipline that applies software practices to IT operations, using SLOs and error budgets to balance reliability with delivery speed.
Hybrid Cloud
A composition of two or more cloud environments (private, community, or public) connected by technology that enables data and application portability.
Private Cloud
A dedicated IT environment used exclusively by one organisation, providing maximum control over data, network, and configuration.
Test Automation
Using specialised tools and frameworks to validate software automatically, catching regressions in every pipeline stage before they reach production.
Application Modernisation
Updating and improving existing applications to meet current standards, using strategies like rehosting, replatforming, or refactoring.