Companies need to plan out its migration to the cloud phase like test data, business-critical or sensitive data to ensure that if errors are made during the initial migration, the vital data will not be at risk.
FREMONT, CA: As almost all organizations' operations are processed in the cloud, the cost of misconfiguration or poor optimization can be huge. Therefore, it is vital that organizations understand and know the common errors of cloud computing and prevent it.
Here are six errors cloud management and operations team need to avoid:
Moving a Workflow to the Cloud for No Reason
Teams need to analyze the costs and benefits when transferring a workflow or data onto the cloud environment and decide if the migration will be worth it.
Overlooking the Benefits of Hybrid and Multicloud Deployments
Many businesses are developing hybrid cloud and multicloud infrastructure, which enables them to prevent cloud vendor lock-in and seize the benefits of various providers' strengths.
No Knowledge where Cloud Data is Being Stored
The cloud data is stored in a server owned by the cloud provider, anywhere in the world. A company must know where the data is stored and if its data requires to follow data regulations.
No Understanding of the Shared Cloud Responsibility Model
An organization and its solution provider are liable for cloud security's defined qualities when implementing a cloud solution. Solutions providers will plan the specific responsibilities for themselves and the business in their service level agreement (SLA). The agreement needs to comprise the information on the shared cloud responsibility model, outlining what the business and cloud provider is in charge of managing cloud security.
Misconfiguring Cloud Data during Migration
According to the file type and the cloud environment used, companies will need to reconfigure the data to work within the cloud while migrating over. Test any application or projects that is put onto the cloud to see if they work properly.
Migrating All Data at Once
Companies need to plan out its migration to the cloud phase like test data, business-critical, or sensitive data. This will ensure that if errors are made during the initial migration, the vital data will not be at risk.