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Difficulty: HardDesigning Infrastructure for Business Requirements and Cost Optimization

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?

  1. 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.Answer
  2. B
    Deploy Storage Transfer Service to transfer the telemetry archive files directly over the existing 100 Mbps connection using parallel transfer threads.
  3. C
    Provision a 10 Gbps Dedicated Interconnect connection to Google Cloud and use Storage Transfer Service to upload the data online.
  4. D
    Deploy an autoscaling Google Kubernetes Engine (GKE) cluster in Google Cloud to compress and stream the on-premises dataset over an HA VPN tunnel.

Answer

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.

Step-by-Step Solution

1
Calculate the theoretical minimum network transfer time required for the dataset
At a maximum speed of 100 Mbps (12.5 MB/s12.5\text{ MB/s}), transferring 800 TB800\text{ TB} requires 800×1012 bytes12.5×106 bytes/s≈64,000,000 seconds≈740 days\frac{800 \times 10^{12}\text{ bytes}}{12.5 \times 10^6\text{ bytes/s}} \approx 64,000,000\text{ seconds} \approx 740\text{ days}.
Evaluating network transfer throughput proves that online migration strategies cannot meet the 14-day target.
2
Evaluate offline migration alternatives against business constraints
Google Cloud Transfer Appliance allows high-speed local data ingestion onto encrypted hardware, physical transport, and direct upload in Google Cloud data centers within a standard turnaround time of a few days.
Offline physical transfer bypassed network bandwidth limitations completely while remaining significantly cheaper than provisioning short-term high-speed dedicated circuits.
3
Select the optimal architectural decision based on cost and time feasibility
Transfer Appliance fulfills the 14-day SLA at the lowest overall operational cost.
It avoids over-provisioning infrastructure or failing the timeline requirements.

Key Concept

Selecting Data Transfer Strategies based on Dataset Size, Available Bandwidth, and Cost Constraints
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Topics

Designing Infrastructure for Business Requirements and Cost Optimization