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If you're used to managing virtual machines (VMs) in your on-premises environment or other clouds, and want a similar experience in Google Cloud, then Compute Engine is for you.

Last year, we published a blog post and demonstrated on Google Compute Engine. Since then, there have been a number of important developments. First, Microsoft announced . Second, with support for Windows nodes and Windows containers. Supporting Windows workloads and helping you modernize your apps using containers and Kubernetes is one of our top priorities at Google Cloud. Soon after the Microsoft and Kubernetes announcements, we added support for Windows Server 2019 in Compute Engine and . Given this expanded landscape for Windows containers on Google Cloud, let’s take a fresh look at how best to deploy and manage them. In this first post, we’ll show you how to deploy an app to a Windows container on Windows Server 2019 on Compute Engine.

Now in beta, the recommender family includes the Identity and Access Management (IAM) Recommender and the Compute Engine Rightsizing Recommender, with more to come.

This news reflects what we hear from our customers: that Google Cloud databases are flexible, open, and easy to use.

Google Cloud offers the full gamut of computer vision building blocks and prepackaged solutions for your organization.

In a nutshell, document understanding allows you to: Organize documents Extract knowledge from documents Increase processing speed At Google Cloud we provide a solution, Document AI, which enterprises can leverage in collaboration with partners to implement document understanding.

With Google Cloud AI solutions like Cloud AutoML, Standard Industries is also aiming to become more predictive, building machine learning models to forecast customer demand, shipping needs, and commodity pricing.

The managed serverless compute platform Cloud Run provides a number of features and benefits: Easy deployment of microservices.

As Google Cloud continues to grow, the demand for professional services from our customers is rapidly increasing.

Editor's note : This is the last installment of our six-part blog series on how to use Cloud Security Command Center. There are links to the five previous installments at the end of this post. When you deploy new Google Cloud services, you need visibility into what’s running and how you can improve their security. If you don’t, your organization might not be aware of risky misconfigurations that leave you susceptible to attacks. To help you find misconfigurations, and respond quickly to them, we developed , and built it into (Cloud SCC). Security Health Analytics gives you visibility into misconfigurations in your GCP resources and provides actionable recommendations for how to fix them. In this blog, we’ll take a closer look at Security He.

Event Threat Detection works by consuming Cloud Audit, VPC flow, Cloud DNS, and Syslog via fluentd logs and analyzing them with our threat detection logic and Google’s threat intelligence.

Google Cloud Firewall Rules Logging: How and why you should use it.

At Google Cloud Next UK, we offered a series of commitments to our European customers that our platform will offer tools to meet their strict needs and preferences for enterprise data residency, operational transparency, and privacy controls.

In this post, we look at the improvements offers in terms of accessing data stored on Google Cloud.

Enterprises want to embrace the pace of innovation and an operational business model of the modern-day cloud, but they don’t want to disrupt their existing IT landscape or upgrade all their legacy applications.

The exponential growth of data is presenting enterprises with new challenges. With the influx of new and different types of data, enterprises need to scale infrastructure while improving costs and managing growing expectations from business functions. Teams need to analyze, store, and extract meaningful insights from that data. Today, we’re excited to announce a partnership with to offer its data analytics products on Google Cloud. Beginning next year, customers will be able to run Teradata’s cloud analytics platform, Vantage, on (GCP). Teradata Vantage is a cloud-first analytics platform that allows customers to run sophisticated analytics across all types of deployment options: in the public cloud, hybrid, or multi-cloud environments. Ter.

When it comes to securing your cloud infrastructure, there is no shortage of challenges.

As a result, over the past 12 months we’ve seen extraordinary momentum in Germany, Austria, and Switzerland—also known as the DACH region—as more and more businesses take advantage of Google Cloud.

June marked the first anniversary of Google’s , which formally outline our pledge to explore the potential of AI in a respectful, ethical and socially beneficial way.

At Google Cloud, we’re committed to providing public sector agencies with technology to help improve citizen services, increase operational effectiveness, and better meet their missions. We build our products with security and data protection as core design principles, and we regularly validate these products against the most rigorous regulatory requirements and standards. To that end, we are proud to announce that (GCP) has received FedRAMP High authorization to operate (ATO) for 17 products in five cloud regions, and we’ve expanded our existing FedRAMP Moderate authorization to 64 products in 17 cloud regions. This means that public sector agencies now have the ability to run compliant workloads at the highest level of civilian classifica.

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