Cloud Data Loss Prevention’s sensitive data intelligence service is now available in Security Command Center
Our Cloud Data Loss Prevention (Cloud DLP) discovery service can monitor and profile your data warehouse to bring awareness of where sensitive data is stored and processed. Profiling is also useful for confirming that data is not being stored and processed where you don’t want…
Looker now available from Google Cloud console
Looker helps make it easy to get insights from business data and to build data-driven applications with unified metrics for ease of collaboration. Today, we are bringing Looker to the Google Cloud console, making it simpler than ever to acquire, deploy, and manage Looker in…
What is Cloud Scheduler?
If you want to get right into using Google Cloud Scheduler, check out this interactive tutorial! So, there you are relishing in the fact that you’ve just set up a new database and pipeline to process large amounts of your organization’s data regularly. Feeling alive! Your…
Build, automate, and monitor BigQuery ML models with Vertex AI MLOps capabilities
Making machine learning (ML) models work in production is hard. It usually requires not only a deep understanding of ML, data engineering, and software engineering, but also a variety of tools and technologies. BigQuery ML and Vertex AI make it easier to create, deploy, and manage machine learning…
Announcing new idle VM recommendation configuration option in Google Cloud
Active Assist’s Idle VM recommendations can help you save money and resources by identifying and deleting idle VMs. Today, Google are excited to announce a new configuration option for idle Virtual Machine recommendations, giving you more control over how idle VMs are identified and recommended for…
Understand and manage data at scale with Cloud Storage Insights
With Cloud Storage, organizations can scale cloud storage usage from terabytes (TBs) to exabytes (EBs) without being constrained by infrastructure or scalability. But, when data volume increases, it gets harder to efficiently discover and manage that data, which can cause problems such as security flaws and…
AI in software development: What you need to know
It is amazing how much technology has evolved over the years and continues to do so. AI is no exception to this trend, and it is exciting to see how it can assist us in various ways. There is no denying that many of us…
Cloud Run now supports sidecar deployments — monitoring agents, proxies and more
Cloud Run is a fully-managed container runtime that automatically scales your code, in a container, from zero to as many instances as needed to handle all incoming requests. Previously, every instance in a Cloud Run service ran on only one container. Today, we are introducing…
Making Chrome better for your enterprise users with Chrome Browser Cloud Management
If you’re an IT or security professional, you’re probably very familiar with the advantages of the browser when it comes to your tech stack. It allows your workforce to get more done, making it easier than ever to be productive. But cloud computing, an increase…
Four steps to managing your Cloud Logging costs on a budget
As part of our ongoing series on cost management for observability data in Google Cloud, Google are going to share four steps for getting the most out of your logs while on a budget. While Google will focus on optimizing your costs within Google Cloud,…
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Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
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