What is Cloud Native?
Cloud native is an approach to designing the application to take full advantage of the flexibility and scalability of the cloud.
Definition and Word Origin
The concept is collected under the umbrella of CNCF (Cloud Native Computing Foundation). The critical distinction here is this: Uploading a software to the cloud does not make it cloud native. Cloud native means that the application is built from the very beginning in small and independent parts, according to the dynamic structure of the cloud.
How to Know and Use in Daily Life?
Busy days: Capacity automatically increases as traffic increases on the campaign day.
Fault moment: Silent transfer of work to another copy when a server crashes.
Update: It is refreshed piece by piece while the application is running, not when it is closed.
Technical Depth and Architecture
Parts of the cloud native stack:
Container: Portable box of applications and their dependencies.
Orchestration: Operation, replication and health monitoring of boxes (e.g. Kubernetes).
Microservice: Breaking down a large application into smaller services that can be deployed independently.
Observability: Keeping the inside of the system visible with logs, metrics and monitoring.
Scaling up is done with a single command:
kubectl scale deployment web --replicas=5This command scales the number of web service replicas to five. The count is reverted once traffic decreases.
Use in Different Disciplines
Prefabricated structure: Modular house where rooms can be added as needed.
Electrical network: Power plants that come into operation according to demand.
Logistics: Distribution lines that open and close according to density.
Questions and answers
Does moving the application to the cloud make it cloud native?
No. Porting the old-style application as it is will only change the location. For cloud native, the architecture must be divided into small parts and suitable for automatic management.
Is it necessary for a small project?
Not always. This mechanism may be too much for a blog that runs comfortably on a single server. It makes sense if the traffic is fluctuating or the team is growing.
Does it increase the cost?
There is a setup and learning cost. In return, downtime and scaling costs are reduced. You need to make the calculation according to your workload.
Where to start?
Start by putting the application in the container. Then add health check, logging and automatic distribution. Orchestration is the last step.
Related terms
Related tools
This explanation was written in plain language for TreScout with AI and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →