Google has announced an important update to its Cloud Interconnect service. With the introduction of Cross-Cloud Interconnect, enterprises can now securely connect any public cloud to Google Cloud through a high-performance network.
This advancement is expected to change the way enterprises meet the challenges of managing multi-cloud workloads and dealing with network connectivity and configuration complexity.
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Cross-Cloud Interconnect aims to simplify configuration, minimize hardware requirements, and reduce overhead associated with multi-cloud networking. The service supports Amazon Web Services, Microsoft Azure, Oracle Cloud Infrastructure, Alibaba Cloud, with more providers in the pipeline.
Multi-cloud distribution of applications is driven by the increasing prominence of artificial intelligence (AI) and machine learning (ML) workloads. Google Cloud has made a name for itself in providing AI and ML services such as new virtual machines and AI platforms. Cross-Cloud Interconnect enables these services to be extended to other cloud providers, leveraging Google Cloud Platform’s native services such as Cloud Spanner, Cloud Storage Buckets, and BigQuery, while providing a wide variety of services across public clouds. You can now run your application.
For example, customers can access fine-tuned generative AI models deployed on Vertex AI and configure private endpoints to access them securely from web applications deployed on AWS or Azure.
To initiate Cross-Cloud Interconnect, customers must go through a series of steps such as selecting a region/zone, ordering physical ports, selecting a bandwidth tier, and configuring services in both cloud environments. To automate the process, you also need a Letter of Authorization (LOA) that allows Google to configure a Link Aggregation Group (LAG) for each port of your target cloud.
Cross-cloud interconnection
Cross-Cloud Interconnect is more than just a way to connect multiple clouds. They also prioritize speed and reliability. The service offers two tiers of bandwidth: 10 Gbit/s and 100 Gbit/s. It also has a 99.9% SLA, giving enterprise customers confidence in deploying multi-cloud workloads.
Walmart Inc. and Pexip AS are among the early users of Cross-Cloud Interconnect. Google has already started using the platform to develop multi-cloud apps, which it claims has resulted in simplified connectivity, faster production times, and lower costs.
Google has also improved Private Service Connect, a service for securely connecting virtual private clouds made up of different Google projects and regions. Supports Cross-Cloud Interconnect, allowing businesses to establish private and secure connections from their virtual private cloud to Google, partners, or services.
Private Service Connect enables administrators to automate the connection of private connections for managed services, simplifying the deployment, update, and deletion of connected public services. This eliminates the need to open network tickets and makes it easier for Cross-Cloud Interconnect users to create private and secure connections.
Google’s latest investment, Cross-Cloud Interconnect, following previous investments in Anthos and BigQuery Omni, highlights its multi-cloud commitment. Our latest cross-cloud interconnect service joins existing hybrid and multi-cloud offerings based on dedicated and partner interconnects. As enterprises continue to adopt hybrid and multi-cloud network services, Google’s Cross-Cloud Interconnect will become an integral part of their efforts.
Cross-Cloud Interconnect by Google is a significant advancement in the world of multi-cloud networking. This enables easy connectivity between various public clouds, guarantees high performance, and provides additional benefits of Google’s AI and ML services. This comprehensive solution is designed to meet the complex network requirements of modern businesses.
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