Key takeaways
- Cloud-native is a way of building, not a place to host: software designed for the cloud from the start, rather than moved onto it later.
- The benefits are scaling with demand, faster and safer releases, and systems that recover on their own. Each depends on doing the groundwork well.
- The challenges are added complexity, costs that grow quietly, more configuration to secure and new skills to learn. Each needs a plan.
- Decide from four traits of the project: team size, traffic pattern, release frequency, and compliance and data needs.
- You don’t need Kubernetes or microservices to be cloud-native. One well-structured application in a container on a managed platform gets most of the benefits.
What is cloud-native development?
Cloud-native development is a way of building applications so that they are designed for the cloud rather than moved onto it later. The Cloud Native Computing Foundation’s definition (CNCF, 2018) describes it as building and running scalable applications in dynamic environments such as public, private and hybrid clouds, and names containers, service meshes, microservices, immutable infrastructure and declarative APIs as examples of the approach.
In practice, that boils down to a few habits:
- Package the app the same way everywhere. A container image (or a serverless function) runs the same on a laptop, in testing and in production.
- Let managed services do the undifferentiated work. Databases, queues, file storage, search and authentication come from the cloud provider or a specialist service, not from servers you patch yourself.
- Describe infrastructure as code. Servers, networks and permissions live in version-controlled files, so environments can be rebuilt and reviewed like any other change.
- Deploy automatically and often. Every change goes through the same pipeline of build, test and release.
- Make the system observable. Logs, metrics and traces tell you what is happening without logging in to a machine.
The older “twelve-factor app” guidance (Adam Wiggins, Heroku, 2011) still reads as a good checklist for this: configuration in the environment, stateless processes, logs as event streams and the same build promoted from one environment to the next.
The building blocks of a cloud-native system
Most cloud-native systems are assembled from the same handful of parts. The tools change; the jobs they do don’t.
| Building block | What it does | Common tools |
|---|---|---|
| Containers | Package the app and its dependencies into one image | Docker, Podman |
| Managed runtimes | Run containers without managing servers | AWS ECS with Fargate, Google Cloud Run, Azure Container Apps |
| Orchestration | Schedule and heal many services across a cluster | Kubernetes (EKS, GKE, AKS) |
| Serverless functions | Run code per event and scale to zero | AWS Lambda, Cloud Run functions (formerly Cloud Functions), Azure Functions |
| Managed data | Databases, caches and queues run by the provider | Amazon RDS, Cloud SQL, managed Redis, SQS, Pub/Sub |
| Infrastructure as code | Define environments in reviewed files | Terraform, OpenTofu, Pulumi, AWS CDK |
| Delivery pipelines | Build, test and release every change | GitHub Actions, GitLab CI, Jenkins |
| Observability | Logs, metrics, traces and alerts | OpenTelemetry, Prometheus, Grafana, the provider’s own monitoring |
You don’t need every row on day one. A small product can be cloud-native with one container on a managed runtime, a managed database, a pipeline and basic monitoring.
What are the main benefits and biggest challenges of cloud-native development?
The main benefits of cloud-native development are scaling with demand, faster and safer releases, and systems that recover from failure on their own; the biggest challenges are added complexity, costs that grow quietly, a wider security surface and the skills needed to run it all. Each benefit depends on doing the groundwork well, and none of the challenges is a reason to avoid the approach, but each needs a plan.
Paying for what you use is the benefit most often undone by the cost challenge. Accept lock-in deliberately where a managed service is worth it, and set budgets and alerts before the first bill.
Planning a new web app?
We’d decide hosting from your traffic, your team and your data needs, not from a default stack. Tell us about the product and we’ll talk it through.
Which developer tools make cloud-native development feel local?
The developer tools that matter most are the ones that make the cloud setup feel local: fast feedback, the same containers and the same configuration you run in production.
- Local environments: Docker Compose to run the app with its database and queue; dev containers in VS Code or JetBrains IDEs so everyone shares one setup.
- Infrastructure as code: Terraform or OpenTofu for declarative definitions; Pulumi or the AWS CDK if your team prefers writing infrastructure in a general-purpose language.
- Pipelines: GitHub Actions or GitLab CI to build images, run tests, scan dependencies and deploy. See our guide to CI/CD pipelines for how the stages fit together.
- Kubernetes tooling, if you use it: kubectl, Helm for packaging and k9s for a quick view of the cluster.
- Observability: OpenTelemetry to instrument the code once, then Prometheus and Grafana or your provider’s monitoring to see it.
- Security: a secret manager (AWS Secrets Manager, Google Secret Manager, Azure Key Vault or HashiCorp Vault) and image and dependency scanning in the pipeline.
Does your product need to be cloud-native?
Not every product needs a fully cloud-native architecture: decide from four traits of the project, not from fashion. The more of these that point to full cloud-native, the more the investment pays back.
The middle path suits most new products: one well-structured application (a “modular monolith”) in a container on a managed platform, with a managed database, a pipeline and monitoring from the start. That gives you most of the cloud-native benefits on day one. When one part of the system needs to scale or release on its own, split it out then, with a real reason.
The same thinking applies to existing systems. Moving an old application to the cloud doesn’t require rewriting it as microservices. Containerising it, moving the database to a managed service and adding a pipeline is often the first, safest step.
How we’d decide hosting and architecture for a new web app
For a new web app, this is how we’d approach the hosting decision in a custom software development project: from the project traits above rather than a default stack, as a method rather than a fixed recipe, in six steps.
A cloud-native starting checklist
If you are planning a new product or moving an existing one, these nine steps give you a sound base without over-building. Tick the ones you already have in place:
Cloud-native development is a set of habits more than a technology choice. Start with the habits that pay back immediately (containers, pipelines, managed services and monitoring) and add the heavier machinery only when the product earns it.