By understanding these anti-patterns and following cloud-native best practices, you can design, build, and operate more robust, scalable, and cost-effective cloud-native applications.
1. Monolithic architecture : Running one large, tightly coupled application on the cloud hinders scalability and agility. 2. Ignoring cost optimization : Cloud services can be expensive, and not optimizing costs can lead to budget overruns. 3. Mutable Infrastructure : • Infrastructure components should be considered disposable and never modified in-place. •Failure to adopt this approach can result in configuration drift, increased maintenance and reduced reliability. 4. Inefficient database access patterns : Using overly complex queries or lack of database indexes can lead to performance degradation and database bottlenecks. 5. Large containers or bloated images : Creating large containers or using bloated images can increase deployment times, consume more resources, and slow down application scaling. 6. Ignoring the CI/CD pipeline : Deployment becomes manual and error-prone, hindering the speed and frequency of software releases. 7. Shared resource dependencies : Applications that rely on shared resources (such as databases) can cause contention and bottlenecks, affecting overall performance. 8. Overuse of cloud services without a clear strategy : While cloud providers offer numerous services, overuse of these services without a clear strategy can add complexity and make applications difficult to manage. 9. Stateful components : Relying on persistent state in an application can introduce complexity, hamper scalability, and limit fault tolerance.
Understanding and avoiding these anti-patterns will help ensure your cloud-native applications are successful in terms of performance, reliability, and cost-effectiveness.