Organizations embracing cloud-native model to gain agility, scalability, and resiliency; challenges traditional companies face; people transformation key challenge.
Organizations are increasingly embracing cloud-native models to take advantage of its flexibility, resiliency, and scalability. This approach allows them to respond to market trends with more agility, rapid prototyping, and rapid deployment. Cloud-native models also come with redundancy built-in, multiple thresholds in terms of service level agreements, and no-code/low-code capabilities. Compliance is also a major factor in the adoption of cloud-native models.
However, traditional companies face certain challenges when transitioning to cloud-native models. These include data gravity, data localization, regulatory compliance, connectivity issues, and people transformation. Security and reliability of cloud-native apps are also a concern. Organizations need to ensure that applications are resilient, scalable, functional, and patched with the latest security updates before deployment.
Large enterprises and public sector companies have also started adopting cloud-native models, which is testament to its power. Companies born in the cloud have a headstart in this regard, but traditional companies need to be aware of the challenges they face. It is important to build a culture of ‘fail fast, innovate faster’ in the organization and to continuously test the applications before adoption.
Cloud-native models offer a range of benefits to organizations, allowing them to become more agile and responsive. However, it is important to be aware of the challenges that traditional companies face when transitioning to cloud-native models. Compliance, data gravity, data localization, connectivity issues, and people transformation are all factors to consider. Organizations need to ensure that applications are resilient, scalable, functional, and up-to-date with the latest security updates before deployment. With the right approach, companies can take advantage of the power of cloud-native models.