--- title: "Cloud Native Anti-Patterns" description: "Avoid common pitfalls in cloud-native development for robust applications." image: "https://assets.bytebytego.com/diagrams/0070-cloud-native-anti-patterns.png" createdAt: "2024-02-25" draft: false categories: - devops-cicd tags: - "Cloud Native" - "Anti-Patterns" --- 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. ![](https://assets.bytebytego.com/diagrams/0070-cloud-native-anti-patterns.png) ## 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.