A global logistics provider needs to migrate 800 TB of historical telemetry archive files from an on-premises data center to Cloud Storage to support a new machine learning analytics initiative. The migration must complete within a strict 14-day business window. The facility's internet uplink is capped at 100 Mbps, and provisioning additional network bandwidth is cost-prohibitive. Which architectural strategy meets the business timeline while minimizing total migration cost?
- Order a Google Cloud Transfer Appliance, copy the data locally in the data center, ship the appliance to Google Cloud, and ingest the files into Cloud Storage.Cevap
- BDeploy Storage Transfer Service to transfer the telemetry archive files directly over the existing 100 Mbps connection using parallel transfer threads.
- CProvision a 10 Gbps Dedicated Interconnect connection to Google Cloud and use Storage Transfer Service to upload the data online.
- DDeploy an autoscaling Google Kubernetes Engine (GKE) cluster in Google Cloud to compress and stream the on-premises dataset over an HA VPN tunnel.
Cevap
Order a Google Cloud Transfer Appliance, copy the data locally in the data center, ship the appliance to Google Cloud, and ingest the files into Cloud Storage.
Transfer Appliance is a high-capacity storage server that allows organizations to transfer large volumes of data (hundreds of terabytes to petabytes) to Google Cloud off-network. Given the 100 Mbps uplink restriction, an online transfer of 800 TB is mathematically unfeasible within 14 days. Transfer Appliance satisfies both the tight deadline and the requirement to minimize cost without incurring heavy network infrastructure setup fees.
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Anahtar Kavram
Selecting Data Transfer Strategies based on Dataset Size, Available Bandwidth, and Cost Constraints