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Challenges in Cloud Native

'Dynamicity' is quickly becoming a buzzword in the computer industry. Microservices, functions and serverless functions are gaining popularity and are much sort-after cloud-native technologies influencing our world. This rocketing fame and enthusiasm to learn sometimes unintentionally wraps up the challenges of cloud-native technology. An organization trying to adopt cloud-native technology not only looks for innovation and engineering but also keeps a check on eradicating the challenges that come with it.

Let us discuss some of the 'popular' challenges:


  • Tools play a vital role in the security aspect of building cloud-native apps.

  • Establishing and maintaining the balance in security during production deployment is a hectic task faced by most employees. Poor analytics and false-positive alerts also contribute to the security imbalance.

  • The 4 Cs in Cloud-Native Security - Cloud, Cluster, Container and Code forms a layered security approach in computing. The software systems are much secured with this approach.

Dynamic data storage

  • Redundant storage of data without data leak is a challenge for any organization - A challenge in Cloud Native as well.

  • Application shut down would lead to burning up all the internal data, though having an immutable infrastructure.

  • External storage of data, thereby offering data as a service is the advantage of Cloud Native Environments.

  • This makes it easier for a single storage unit to be shared among multiple applications or services.

Delivery Pipelines

  • The introduction of code from a local environment to the required platform causes delays, alongside developing and testing such them.

  • Introducing CI/CD into the cloud environment produces a look-alike of the production conditions and decreases the distance between the pipeline and your apps.

Merging the services

  • Compromising on service and quality isn't a forte for cloud-native technologies. To achieve this goal, the cloud-native workloads have to uninterruptedly work together, thus making it a single service.

  • Deployment techniques play a major role in the integration of service. One of the widely used methods is Container.
    Quite obviously, serverless functions might serve as a quick alternative.


  • Management of the deployed services and their constant monitoring requires a logical approach to handle any failures.

  • The continuous monitoring of the application environment to detect any anomaly is seamlessly carried out by Dynamic baselining in cloud-native technologies.

Though cloud-native applications have a constant boost in their value every passing day, they're complex to handle. Creating the right flow chart to handle the business challenges to experience the reliability, scalability, and persistency to deliver an efficient cloud-native architecture creates a clear picture and high usage.

Check out the video for a demo of Cloud Native Development with GitLab


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