Design Cross-Cloud Data and Identity Integration
BigQuery Omni is a multicloud analytics tool that lets users run queries on data stored in Amazon S3 or Azure Blob Storage without moving that data into Google Cloud first. The query engine runs directly in the other cloud environment, which breaks down data silos and reduces the costs of transferring large datasets between providers. This approach is useful when you need to analyze data where it already lives rather than paying to duplicate it.
To move large amounts of data into Google Cloud, the Storage Transfer Service handles automated migration from AWS or Azure. When datasets are too large for internet transfer, the Transfer Appliance provides an offline hardware solution that lets you ship data securely. Choosing between these options depends on your data size, available bandwidth, and how quickly you need the migration to complete.
Connecting clouds together requires a strong physical link. Cross-Cloud Interconnect creates a dedicated connection between Google Cloud and other providers like AWS or Azure for high-speed data flow. Protecting this data involves encryption layers such as VPN tunnels for secure paths over the internet, Cloud Interconnect for private high-speed lines, and MACsec for hardware-level encryption on dedicated links.
Workload Identity Federation allows external services to access Google Cloud resources without storing long-lived service account keys. This identity management strategy ensures that only authorized workloads from AWS or Azure can interact with your Google Cloud data while maintaining a unified security posture across all environments.
Evaluate Hybrid and Multicloud Connectivity Solutions
Google Cloud offers several ways to connect on-premises data centers to the cloud. Dedicated Interconnect provides a direct physical link between your local network and Google's network, which is ideal for organizations that need very high bandwidth and a private connection. For this option, you must work with a colocation facility where Google has a point of presence and obtain a Letter of Authorization and Connecting Facility Assignment (LOA-CFA), which grants permission to connect your hardware to Google's ports.
When you cannot reach a Google location directly, Partner Interconnect lets you connect through a supported service provider. This uses a pairing key, which is a unique identifier that allows the service provider to establish your connection without seeing your private project details. You can choose between Layer 2 connectivity, where you manage routing and BGP sessions yourself, or Layer 3, where the service provider handles routing for you.
Managing traffic between environments requires a Cloud Router running Border Gateway Protocol (BGP) sessions. BGP exchanges network information between your local site and your Virtual Private Cloud, allowing routes to update automatically when network conditions change. For Partner Interconnect, Google requires a specific Autonomous System Number (ASN) of 16550 to ensure the connection works correctly.
Achieving 99.99% availability involves using multiple VLAN attachments across different edge availability domains, which are independent maintenance zones within a metropolitan area. You can also add HA VPN over Cloud Interconnect to encrypt traffic as it travels across the physical connection, providing both a private link and IPsec protection.
Assess Workload Portability and Unified Management
GKE Enterprise enables workload portability by letting you run containerized applications across on-premises and multicloud environments. By using Kubernetes as a common runtime layer, it abstracts away the differences between various computing infrastructures, allowing developers to build once and deploy anywhere without worrying about underlying hardware or cloud-specific settings.
Fleet management simplifies managing multiple clusters across different locations. A fleet is a logical grouping of Kubernetes clusters that lets you manage them as a single unit rather than individually. This centralized approach provides consistent configuration management and unified observability across all environments, and it allows administrators to use Policy Controller to audit and enforce security rules globally. The key benefits include operational efficiency through automated routine tasks, scalability by moving high-demand workloads between environments, and consistency in applying security and networking rules everywhere.
Robust hybrid connectivity using options like Cloud Interconnect and HA VPN provides the secure, high-speed links that data needs to travel between on-premises systems and Google Cloud. It is important to minimize dependencies between cloud and edge systems so that a temporary network interruption does not cause a total application failure.
A service mesh like Cloud Service Mesh provides consistent protection across distributed resources by enabling mutual TLS for secure communication between microservices, regardless of where they are hosted. This creates a zero trust architecture where every service must verify its identity before communicating with others. Moving data between environments remains a challenge due to latency and storage differences, but Google Cloud offers various data movement options to help transfer and transform large datasets efficiently. Using FinOps practices and unified billing tools helps organizations maintain cost visibility across all their cloud providers to prevent unexpected expenses.
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