By being aware of these anti-patterns and following cloud-native best practices, you can design, build, and operate more robust, scalable, and cost-efficient cloud-native applications.

Monolithic Architecture

One large, tightly coupled application running on the cloud, hindering scalability and agility.

Ignoring Cost Optimization

Cloud services can be expensive, and not optimizing costs can result in budget overruns.

Mutable Infrastructure

• Infrastructure components are to be treated as disposable and are never modified in place.

• Failing to embrace this approach can lead to configuration drift, increased maintenance, and decreased reliability.

Inefficient DB Access Patterns

Use of overly complex queries or lacking database indexing, can lead to performance degradation and database bottlenecks.

Large Containers or Bloated Images

Creating large containers or using bloated images can increase deployment times, consume more resources, and slow down application scaling.

Ignoring CI/CD Pipelines

Deployments become manual and error-prone, impeding the speed and frequency of software releases.

Shared Resources Dependency

Applications relying on shared resources like databases can create contention and bottlenecks, affecting overall performance.

Using Too Many Cloud Services Without a Strategy

While cloud providers offer a vast array of services, using too many of them without a clear strategy can create complexity and make it harder to manage the application.

Stateful Components

Relying on persistent state in applications can introduce complexity, hinder scalability, and limit fault tolerance.