by Sachin Rane, on Feb 16, 2022 7:45:57 PM
Estimated reading time: 2 mins
Data residency and data privacy issues impede Cloud adoption in data-sensitive sectors, such as Healthcare, National Defense, and Financial Services. Constantly evolving business requirements and lack of Cloud expertise further deter the enterprises from transitioning to Cloud. Distributed Cloud Computing at the Edge executed through Managed Services allows the enterprises to overcome the indecision impedance, tide over Data Residency issues, and embark on their Cloud journey.
What is Distributed Cloud Computing at the Edge?
Distributed Cloud Computing at the Edge uses the existing enterprise infrastructure at the point where the process is executed and improves the Cloud computing experience with Public Cloud. This is a type of Hybrid Cloud that allows the enterprise to abide by Data Residency and Data Privacy norms and at the same time engage the Cloud Native environment benefits. Enterprises that lack the Cloud expertise can make use of the Cloud Managed Services, which are tied by non-disclosure agreements. They are the legally bound business extensions of the enterprises and allow them to navigate through the nuances of the Cloud for an optimized outcome.
What is the difference between Distributed Cloud Computing at the Edge and Hybrid Cloud?
Distributed Cloud Computing at the Edge is a form of Hybrid Cloud, that engages On-premise Cloud for hosting applications and Public Cloud for Cloud bursting. However, the former specifically uses the infrastructure at the point of process execution and data generation and enables the Cloud journey by using containerized microservices architecture and Kubernetes orchestration. The Distributed Cloud Computing at the Edge gives a quantum thrust to the enterprises as well as propels their Cloud journey and adoption of the Cloud Native environment by overcoming Data Residency issues.
Advantages of Distributed Cloud Computing at the Edge
Distributed Cloud Computing at the Edge enables enterprises in transitioning to the Cloud Native environment while conforming with data privacy laws. It fosters –
- Compliance with data privacy and data localization norms
- Workload optimization and portability
- Reduced operational expenditure
- Secure data movement and exchanges
- Execution of confidential product trials
- Data Analytics at the Edge by using confidential data
In summary
Distributed Cloud Computing at the Edge allows Cloud adoption in business sectors that have to abide by high confidentiality of data. It allows to execute new product trials and perform data analytics towards continuous improvement and optimization.
