Cloud-native apps
Also written: Cloud native
Applications built to run on cloud platforms, using cloud services for scalability and flexibility.
Cloud-native apps are software programs designed from the ground up to run on cloud computing platforms like Microsoft Azure, Google Cloud, or Amazon Web Services.
Instead of running on a single physical computer, these apps use the cloud's resources. This means they can easily scale up to handle more users or tasks when needed and scale down when demand is low, making them efficient and cost-effective. An example is a web application that automatically adds more servers to handle a sudden surge in visitors during a sale.
Cloud-native applications are architected to leverage cloud computing models, utilizing microservices, containers, and managed services. They are designed for elasticity, resilience, and rapid deployment, often employing DevOps practices and CI/CD pipelines. This approach contrasts with traditional monolithic applications refactored to run in the cloud, as cloud-native apps are built with cloud-specific APIs and services in mind.
Frontier AI labs are increasingly deploying their models and services on cloud infrastructure. Cloud-native architectures are essential for managing the scale, performance, and cost of these demanding AI workloads, especially for inference. Companies are optimizing their cloud-native deployments to improve AI model efficiency and accessibility.
- Deploying cloud native apps to Cobalt 200 VMsMicrosoft · Microsoft Azure on YouTube ·
- Microsoft Copilot
- Microsoft Copilot leverages cloud-native principles to deliver AI-powered assistance across its services, running on Azure infrastructure.
- Cloud-hosted apps
- Apps that run on cloud servers but were not specifically desi
- SaaS (Software as a Service)
- A business model where software is licensed on a s
The term 'cloud-native' gained prominence around 2015 with the formation of the Cloud Native Computing Foundation (CNCF). It describes an approach to building and running applications that fully exploit the advantages of the cloud computing delivery model. Source ↗
Explore the Azure portal or Google Cloud Console to see how services like managed databases or container orchestration (e.g., AKS, GKE) are used. You can also look for 'serverless functions' which are a key cloud-native pattern.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- ToolAzure Cobalt 200 VMs for cloud-native appsVMs offering price-performance benefits for cloud-native workloads, ARM64 migration, and AI inference. · 10 min
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
Questions people ask
- What's the main benefit of cloud-native apps?
- They are highly scalable, resilient, and can be updated quickly, allowing businesses to adapt rapidly to changing demands and deploy new features faster.
- Are all apps on the cloud cloud-native?
- No, an app can be hosted on cloud servers without being cloud-native. Cloud-native apps are specifically designed to take advantage of cloud services and architectures.
First seen on Subvolts Aug 18, 2026. Updated Sep 15, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.