High-Bandwidth, Low-Latency Connectivity to Google Cloud
Google Cloud Interconnect provides dedicated or partner-managed private connectivity to Google Cloud — delivering the consistent bandwidth and predictable performance that enterprise workloads on GCP, BigQuery, and Google Workspace demand.
What RLM Delivers on Google Cloud Interconnect
RLM advises on Dedicated Interconnect vs. Partner Interconnect selection, capacity planning, VLAN attachment design, and redundancy architecture — ensuring your GCP connectivity is correctly sized and resilient.
How We Approach Google Cloud Interconnect
A structured path through the Google Cloud Interconnect decision — current-state discovery, shortlist and benchmark, commercial negotiation, then support until it is actually working.
GCP Workload Traffic Analysis
We analyze GCP-bound traffic volumes, latency requirements, and data transfer costs to build the business case for dedicated connectivity and determine the appropriate capacity.
Interconnect Type Selection
We evaluate Dedicated Interconnect (10G/100G colocation) vs. Partner Interconnect (various speeds via Google partners) based on your colocation presence, geographic requirements, and volume.
VLAN Attachment & Routing Design
We design the VLAN attachment configuration, BGP session parameters, and Cloud Router policies that connect your on-premises network to GCP VPCs securely and efficiently.
Redundancy & SLA Design
We design the redundancy architecture — dual attachments, dual metropolitan areas, and the GCP-side failover configuration — to meet your availability requirements.
Google Cloud Interconnect Evaluation Criteria
Before committing to any Google Cloud Interconnect platform, these are the points worth forcing a straight answer on.
Connection Type
Dedicated Interconnect requires colocation at a Google-supported facility; Partner Interconnect works through Google's partner network. Evaluate based on your existing infrastructure footprint.
Capacity Planning
Interconnect capacity must accommodate peak workloads including BigQuery export, large-scale data ingestion, and burst VM traffic. Evaluate capacity against your peak demand, not averages.
VLAN Attachment Count
Each VLAN attachment connects to one VPC. Multi-VPC architectures require multiple attachments or Shared VPC design. Evaluate attachment count and cost against your GCP network topology.
Redundancy Requirements
99.9% SLA requires two VLAN attachments in one metro; 99.99% requires attachments in two separate metros. Evaluate the redundancy level required for your GCP workload criticality.
Data Egress Savings
GCP charges lower egress rates over Interconnect vs. internet. Quantify expected savings based on your actual egress volumes — often the primary financial justification.
BigQuery & Analytics Performance
High-volume BigQuery result sets and large-scale data transfers to on-premises benefit significantly from dedicated bandwidth. Evaluate connectivity requirements for your specific analytics workloads.
"RLM helped us rationalize our multi-cloud spend and identify over $1.2M in annual savings. Their approach was methodical and unbiased — exactly what we needed."
The benchmark comes first. Without a baseline, “savings” is just a number a vendor gave you.
Where This Matters Most
Sector-specific considerations we see repeatedly in cloud and managed services engagements.
A Sample of the Cloud & Managed Services Providers We Evaluate
RLM is vendor neutral. These are among 600+ providers in our evaluation set — inclusion here is not an endorsement, and we are paid by the provider you choose, not by any provider in particular. How that works →
Thinking About Google Cloud Interconnect?
Start with a no-cost conversation with an RLM cloud advisor — vendor neutral, no agenda, just clarity on the right path forward.
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