Engineering Archives - Page 51 of 91

4 min

Engineering

Moving Data From The Mainframe To The Cloud Made Easy

IBM mainframes have been around since the 1950s and are still vital for many organizations. In recent years many companies that rely on mainframes have been working towards migrating to…

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2 min

Meet The New Professional Cloud Database Engineer Certification

After a successful certification beta, we’re excited to share that the Professional Cloud Database Engineer certification is now generally available. This new certification allows you to showcase your ability to…

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3 min

Engineering

Introducing Model Co-Hosting To Enable Resource Sharing Among Multiple Model Deployments On Vertex AI

When deploying models to the Vertex AI prediction service, each model is by default deployed to its own VM. To make hosting more cost effective, we’re excited to introduce model…

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6 min

Cloud SQL – SQL Server Performance Analysis And Query Tuning

The following blog covers popular performance analysis tools and technologies database administrators can use to tune and optimize Cloud SQL for SQL Server. Common performance challenges are described in each…

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10 min

A Guide To Databases On Google Cloud Part 3 – Cloud Spanner! & CRUD It With Spring Boot On Cloud Run

In this blog We are going to experiment with CRUD on a Java Spring Boot application using Cloud Spanner’s DML API deployed on Cloud Run, without using a Dockerfile (yes,…

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2 min

Engineering

Moving Off CentOS? Introducing Rocky Linux Optimized For Google Cloud

As CentOS 7 reaches end of life, many enterprises are considering their options for an enterprise-grade, downstream Linux distribution on which to run their production applications. Rocky Linux has emerged…

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5 min

Run Your Arm Workloads On Google Kubernetes Engine With Tau T2A VMs

At Google Kubernetes Engine (GKE), we obsess over customer success. One major way we continue to meet the evolving demands of our customers is by driving innovations on the underlying…

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5 min

Introducing Batch, A New Managed Service For Scheduling Batch Jobs At Any Scale

Today, we’re excited to announce the Preview release of our fully managed service, Batch, which provides easy access to Google Cloud’s computing power and scale. Batch processing is as old…

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7 min

Track, Compare, Manage Experiments With Vertex AI Experiments

Managing experiments is one of the main challenges for data science teams. Finding the best modeling approach that works for a particular problem requires both hypothesis testing and trial-and-error. Tracking…

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Engineering

Moving Data From The Mainframe To The Cloud Made Easy

Meet The New Professional Cloud Database Engineer Certification

Introducing Model Co-Hosting To Enable Resource Sharing Among Multiple Model Deployments On Vertex AI

Moving Off CentOS? Introducing Rocky Linux Optimized For Google Cloud

Run Your Arm Workloads On Google Kubernetes Engine With Tau T2A VMs

Introducing Batch, A New Managed Service For Scheduling Batch Jobs At Any Scale

Track, Compare, Manage Experiments With Vertex AI Experiments

Azure Cloud HSM Hardware Audit Logging: Verifiable audit trails for security and compliance

Google Cloud and NASA: Testing robotic systems for deep space missions

Apple unveils groundbreaking MacBook Pro with PROLED XDR Display and Touch for the first time on Mac

Apple introduces the new 14‑inch MacBook Pro with M6

Apple unveils new iMac with M6, delivering a major boost in performance and AI capabilities

IBM and Siemens Collaborate on Research to Advance Nanostack Architecture

Chinese tech giant Huawei unveils Mate 90 series smartphones with flagship Tau chips adopting logic folding technology

IBM Acquires Logiq Consulting to Expand Secure Digital Transformation and Cybersecurity Capabilities in the UK

Accenture and Google Cloud Transform Software Development with Volvo Cars

Synthetic data could ease people’s concerns about privacy breaches. But who gets to create it?

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Apple Flagship Hardware Launch for September 2026

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Why real SaaS resilience means breaking free of the hyperscaler

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VMware targets ‘three core AI cost drivers’ with new Private AI Cloud service