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Oracle and Google Cloud Announce Multicloud Partnership

Oracle and Google Cloud announced a partnership that gives customers the choice to combine Oracle Cloud Infrastructure (OCI) and Google Cloud technologies to help accelerate their application migrations and modernization.

Google Cloud’s Cross-Cloud Interconnect will be initially available for customer onboarding in 11 global regions, allowing customers to deploy general purpose workloads with no cross-cloud data transfer charges. Later this year, a new offering, Oracle Database@Google Cloud, will be available with the highest level of Oracle database and network performance, along with feature and pricing parity with OCI.

Both companies will jointly go-to-market with Oracle Database@Google Cloud, benefiting enterprises globally and across multiple industries, including financial services, healthcare, retail, manufacturing, and more.

“Customers want the flexibility to use multiple clouds,” said Larry Ellison, Oracle Chairman and CTO. “To meet this growing demand, Google and Oracle are seamlessly connecting Google Cloud services with the very latest Oracle Database technology. By putting Oracle Cloud Infrastructure hardware in Google Cloud datacenters, customers can benefit from the best possible database and network performance.

“Oracle and Google Cloud have many joint enterprise customers,” said Sundar Pichai, CEO of Google and Alphabet. “This new partnership will help these customers use Oracle database and applications in concert with Google Cloud’s innovative platform and AI capabilities.”

Oracle Database@Google Cloud gives customers direct access to Oracle database services running on OCI and deployed in Google Cloud datacenters. This new offering is designed to help customers accelerate their migration to the cloud, so they can modernize their IT environments and take advantage of Google Cloud infrastructure, tooling, and AI services, including data and analytics, Vertex AI, and the company’s Gemini foundation models. Customers can benefit from:

- Flexible options to simplify and help accelerate migrating their Oracle databases to Google Cloud, including compatibility with proven migration tools such as Oracle Zero-Downtime Migration.

- A simplified purchasing and contracting experience via Google Cloud Marketplace that enables customers to purchase Oracle database services using their existing Google Cloud commitments and leverage their existing Oracle license benefits including Bring Your Own License (BYOL) and discount programs such as Oracle Support Rewards (OSR).

- Unified customer experience and support from Google Cloud and Oracle.

- The simplicity, security, and latency of a unified operating environment (datacenter) within Google Cloud to deploy the entire portfolio of Oracle database services including Oracle Exadata Database Service, Oracle Autonomous Database Service, MySQL Heatwave, Oracle Database Zero Data Loss Autonomous Recovery Service, Oracle GoldenGate, and Oracle Data Safe.

- Connecting their Oracle data with Google’s industry-leading AI services including Vertex AI and Gemini foundation models to bring enterprise truth to AI applications and agents for customer service, employee services, creative studios, developer environments, and more.

Oracle will operate and manage Oracle database services directly within Google Cloud datacenters globally, beginning with regions in North America and Europe. Oracle Exadata Database Service, Oracle Autonomous Database Service, and Oracle Real Application Clusters (RAC) will launch later this year across four regions—US East (Ashburn), US West (Salt Lake City), UK South (London), and Germany Central (Frankfurt)—and then rapidly expand to additional regions worldwide.

Oracle Cloud Infrastructure and Google Cross-Cloud Interconnect gives customers the ability to deploy workloads across both OCI and Google Cloud regions with no cross-cloud data transfer charges. Customers today will be able to begin onboarding in 11 cross-cloud interconnect regions—Australia East (Sydney), Australia South East (Melbourne), Brazil East (São Paulo), Canada South East (Montreal), Germany Central (Frankfurt), India West (Mumbai), Japan East (Tokyo), Singapore, Spain Central (Madrid), UK South (London), and US East (Ashburn)—expanding to more regions over time and providing a low-latency, high-throughput, private connection between two leading cloud providers, with seamless interoperability. This enables customers to:

- Innovate using the best combination of Oracle’s and Google Cloud’s services based on their features, performance, and pricing.

- Use a direct interconnection between OCI and Google Cloud that provides low latency for first-class multicloud network performance.

- Run multiple Oracle applications, including Oracle E-Business Suite, Oracle PeopleSoft Enterprise, Oracle Retail Merchandising, and more on OCI with distributed data stores on OCI and Google Cloud.

- Build new cloud-native applications using Google Cloud and OCI technologies including Google Cloud’s enterprise-grade AI technologies.

The new multicloud capabilities deliver a fully integrated experience for deploying, managing, and using Oracle database instances within Google Cloud along with the ability to move data and deploy new cloud native applications across both clouds. This enables organizations to drive breakthroughs in the cloud using their existing skills to leverage the best of Oracle and Google Cloud capabilities.

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Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

Oracle and Google Cloud Announce Multicloud Partnership

Oracle and Google Cloud announced a partnership that gives customers the choice to combine Oracle Cloud Infrastructure (OCI) and Google Cloud technologies to help accelerate their application migrations and modernization.

Google Cloud’s Cross-Cloud Interconnect will be initially available for customer onboarding in 11 global regions, allowing customers to deploy general purpose workloads with no cross-cloud data transfer charges. Later this year, a new offering, Oracle Database@Google Cloud, will be available with the highest level of Oracle database and network performance, along with feature and pricing parity with OCI.

Both companies will jointly go-to-market with Oracle Database@Google Cloud, benefiting enterprises globally and across multiple industries, including financial services, healthcare, retail, manufacturing, and more.

“Customers want the flexibility to use multiple clouds,” said Larry Ellison, Oracle Chairman and CTO. “To meet this growing demand, Google and Oracle are seamlessly connecting Google Cloud services with the very latest Oracle Database technology. By putting Oracle Cloud Infrastructure hardware in Google Cloud datacenters, customers can benefit from the best possible database and network performance.

“Oracle and Google Cloud have many joint enterprise customers,” said Sundar Pichai, CEO of Google and Alphabet. “This new partnership will help these customers use Oracle database and applications in concert with Google Cloud’s innovative platform and AI capabilities.”

Oracle Database@Google Cloud gives customers direct access to Oracle database services running on OCI and deployed in Google Cloud datacenters. This new offering is designed to help customers accelerate their migration to the cloud, so they can modernize their IT environments and take advantage of Google Cloud infrastructure, tooling, and AI services, including data and analytics, Vertex AI, and the company’s Gemini foundation models. Customers can benefit from:

- Flexible options to simplify and help accelerate migrating their Oracle databases to Google Cloud, including compatibility with proven migration tools such as Oracle Zero-Downtime Migration.

- A simplified purchasing and contracting experience via Google Cloud Marketplace that enables customers to purchase Oracle database services using their existing Google Cloud commitments and leverage their existing Oracle license benefits including Bring Your Own License (BYOL) and discount programs such as Oracle Support Rewards (OSR).

- Unified customer experience and support from Google Cloud and Oracle.

- The simplicity, security, and latency of a unified operating environment (datacenter) within Google Cloud to deploy the entire portfolio of Oracle database services including Oracle Exadata Database Service, Oracle Autonomous Database Service, MySQL Heatwave, Oracle Database Zero Data Loss Autonomous Recovery Service, Oracle GoldenGate, and Oracle Data Safe.

- Connecting their Oracle data with Google’s industry-leading AI services including Vertex AI and Gemini foundation models to bring enterprise truth to AI applications and agents for customer service, employee services, creative studios, developer environments, and more.

Oracle will operate and manage Oracle database services directly within Google Cloud datacenters globally, beginning with regions in North America and Europe. Oracle Exadata Database Service, Oracle Autonomous Database Service, and Oracle Real Application Clusters (RAC) will launch later this year across four regions—US East (Ashburn), US West (Salt Lake City), UK South (London), and Germany Central (Frankfurt)—and then rapidly expand to additional regions worldwide.

Oracle Cloud Infrastructure and Google Cross-Cloud Interconnect gives customers the ability to deploy workloads across both OCI and Google Cloud regions with no cross-cloud data transfer charges. Customers today will be able to begin onboarding in 11 cross-cloud interconnect regions—Australia East (Sydney), Australia South East (Melbourne), Brazil East (São Paulo), Canada South East (Montreal), Germany Central (Frankfurt), India West (Mumbai), Japan East (Tokyo), Singapore, Spain Central (Madrid), UK South (London), and US East (Ashburn)—expanding to more regions over time and providing a low-latency, high-throughput, private connection between two leading cloud providers, with seamless interoperability. This enables customers to:

- Innovate using the best combination of Oracle’s and Google Cloud’s services based on their features, performance, and pricing.

- Use a direct interconnection between OCI and Google Cloud that provides low latency for first-class multicloud network performance.

- Run multiple Oracle applications, including Oracle E-Business Suite, Oracle PeopleSoft Enterprise, Oracle Retail Merchandising, and more on OCI with distributed data stores on OCI and Google Cloud.

- Build new cloud-native applications using Google Cloud and OCI technologies including Google Cloud’s enterprise-grade AI technologies.

The new multicloud capabilities deliver a fully integrated experience for deploying, managing, and using Oracle database instances within Google Cloud along with the ability to move data and deploy new cloud native applications across both clouds. This enables organizations to drive breakthroughs in the cloud using their existing skills to leverage the best of Oracle and Google Cloud capabilities.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.