Cloud Computing

Accelerating the borderless Lakehouse: Announcing preview of cross-cloud caching

Today, we are excited to announce enhancements to the borderless Lakehouse, our answer to how data engineers, data scientists, and increasingly, AI agents, can query governed data directly where it lives. To reason accurately and automate complex enterprise workflows, agents and data consumers of all types need fast, unified access to an organization’s complete data […]

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How CSIRO built scalable, cost-optimized genomic variant querying on AWS

This is a guest post by Denis Bauer, Yatish Jain, Anuradha Wickramarachchi, Brendan Hosking, and Nick Edwards of CSIRO, in collaboration with the ASP Prototyping and Scaling Team at AWS. In this post, we describe how researchers at CSIRO, Australia’s national science agency, built Serverless Beacon (sBeacon), a scalable serverless solution for securely querying genomic

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How Equinix cut operational overhead with a shared services architecture on Amazon EKS

This post is cowritten by Manikandan Vasu, Vanji Sivajothy, and Ramchandra Koty from Equinix. Equinix is the world’s digital infrastructure company, operating over 260 data centers across more than 70 metros globally. To address the operational sprawl that had grown from its earlier self-managed Kubernetes environment, Equinix built a shared services architecture on Amazon EKS.

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Google named a Leader in the External Threat Intelligence Service Forrester Wave™

At Google, we see firsthand how the speed, scale, and sophistication of cyber threats continue to challenge traditional enterprise defenses. Today’s defenders can’t rely on reactive triage or fragmented data feeds; you require high-fidelity intelligence, deep underground visibility, and actionable context to anticipate adversary moves before an attack unfolds. We are proud to announce that

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The future of orchestration: Pine59’s journey to Airflow 3 on Google Cloud

Operating large data pipelines requires an orchestration layer that scales smoothly as workloads expand. When your pipelines process millions of complex data points every day to feed predictive models, staying up-to-date with your technology stack is a strategic necessity. Pine59 provides location intelligence data through data pipelines that produce analytical metrics on cadences ranging from

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How a solo founder runs a five-continent tender platform on AlloyDB and MCP

Editor’s note: Lucius AI, a tender-intelligence startup covering markets across five continents, runs its entire data platform on AlloyDB for PostgreSQL with a single operator. By migrating semantic search to a ScaNN index and managing database operations through Model Context Protocol (MCP), query latency dropped by 47x while automating day-to-day administrative tasks via MCP. Executive

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Building cloud-native PACS on AWS

Modernizing medical imaging infrastructure is a pressing challenge for multi-hospital networks. Cloud-native PACS (Picture Archiving and Communication System) on AWS can help address the challenge at scale. A hospital chain with multiple facilities generates millions of imaging studies annually: each CT produces 300 to 2,000 DICOM images, MRI generates 500 to 3,000 slices, and digital

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How DHI Group accelerates generative AI workloads from idea to production using hackathons

With the advent of generative AI, organizations across industries face a common challenge: how do you move from the experimentation and ideation phase to production-ready workloads quickly and confidently? Many teams get stuck in a cycle of proofs of concept that never ship. DHI Group, a leader in talent acquisition services, was evaluating options to

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The AI magic words

Ryan sits down with Tim O’Reilly, founder and CEO at O’Reilly Media, to talk about the role of books as user interfaces to knowledge, the power of “magic words” to extract better outputs from AI, and why human taste is becoming highly valuable as knowledge becomes a commodity.

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M4N VM family, now GA: Highest per-core IOPS and throughput for I/O and memory-bound workloads

As enterprise organizations scale mission-critical applications, storage I/O and memory access can become severe operational bottlenecks. Whether its Oracle databases, in-memory databases like SAP HANA, or high-throughput SQL Server clusters, EHR systems, and real-time big data analytics, memory-bound databases often force enterprises to over-provision compute cores (vCPUs) to get the RAM capacity and storage bandwidth

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