6 bottlenecks hidden in cloud data migration

Cloud Computing News

6_-bottlenecks_-hidden_-in_-cloud-_data_-migration-300x117 6 bottlenecks hidden in cloud data migrationMoving terabytes or even petabytes of data to the cloud is a formidable task and it is important to look beyond the number of bytes probably the cloud, that cost structures may work differently and takes time to move all the data.

Starting from navigating cloud storage options to verify the data post-transfer, these steps will avoid the hazards of cloud migration
1: Data storage
The most common mistake we see in cloud migrations is pushing data into cloud storage without the knowledge of how data is used. With files, objects, and databases behaving very differently, Putting your bytes into the wrong one will cripple cloud plans. An organized hierarchy of paths, a directory tree is quickly accessed, with minimal latency and high speed. Individual files can be easily moved, renamed, and changed down to the byte level having many small files, a small number of large files, or any mix of sizes and data types. Traditional applications access files in the cloud similar to their premises, without any special cloud awareness.

2: Data preparation
Moving data to the cloud is not simple and takes a lot of preparation to happen before anything is copied, requires careful budgeting. Proof-of-concept projects ignore this step leading to cost overruns later. Filtering out unnecessary data can save a lot of time and storage costs and may involve decisions about compression and archiving.

3: Information validation
When data is shifting formats and applications, meanings and functionality are mostly lost even when the bytes remain the same. The most important point here is to ensure the ability to recognize problems before the legacy systems are decommissioned.

4: Transfer marshalling:
During the process of lifting a single system to the cloud, a relatively easy copy can prepare data onto physical media or push it across the Internet to set up dedicated storage to stage the prepared data becomes essential. This holds the advantage of allowing many systems to perform parallel and reduces the contact points for shippable media and data transfer software to a single system.

5: Data transfer
comparing network transfer to media shipment, it is easy to focus on just the shipping time this is the main reason why Network transfer speeds depend on a number of factors, the most important being the local uplink.

6: Cloud scaling
Once data arrives at its destination in the cloud, the migration process is only halfway through. The Objects are uploaded using multipart techniques in particular only has validation by reading them back out.