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

Samsung Art Store Brings Art Basel to Homes Worldwide With New Curated Collection

You Do Not Need to Invest in the IPO of SpaceX, Anthropic, and OpenAI

The consequences of relying on AI for accurate news

Connecting AI agents with unstructured data using Google Cloud Storage MCP Servers

WWDC26: Apple unveils next generation of Apple Intelligence, Siri AI, powerful parental controls, and an expansive set of software improvements

IBM and Google Cloud Announce Strategic Partnership to Scale AI with Human Expertise and AI‑Powered Delivery

Data Sovereignty in Spain. It’s Not Just About the Law, It’s About Efficiency

Ink vs Pixels. What you miss versus what you are actually missing.

Banks race to patch new cyber vulnerabilities, and other cybersecurity news

Pope Leo XIV to Publish First Encyclical on Artificial Intelligence and Human Dignity on 25 May

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