Welcome to above the clouds
GCP – Best Kept Security Secrets: Tap into the power of Organization Policy Service
The canvas of cloud resources is vast, ready for an ambitious organization to craft their digital masterpiece (or perhaps just their business.) Yet before the first brush of paint is applied, a painter in the cloud needs to think about their frame: What shape should it take, what material is it made of, how will […]
GCP – Divercity uses Google Cloud to build more inclusive and sustainable workforces
Despite a growing number of diversity, equity, and inclusion (DEI) initiatives, Black and Latinx people remain highly underrepresented in tech. Although comprising 12.6% and 18% of the U.S. labor force respectively, Black professionals hold only 5% of tech positions, while Latinx professionals fill just 6% of tech roles. Long-standing biases in hiring practices and non-inclusive […]
GCP – New startup CPU boost improves cold starts in Cloud Run, Cloud Functions
We are announcing startup CPU boost for Cloud Run and Cloud Functions 2nd gen, a new feature allowing you to drastically reduce the cold start time of Cloud Run and Cloud Functions. With startup CPU boost, more CPU is dynamically allocated to your container during startup, allowing it to start serving requests faster. For some […]
GCP – How to create public Cloud Run services when Domain Restricted Sharing is enforced
In this post, I’ll show you how to allow unauthenticated requests on a Cloud Run service and use the allUsers identity, even if your organization has enabled Domain Restricted Sharing – as many of our larger and security-conscious customers do. Domain Restricted Sharing is a security feature that prevents you from unintentionally granting permissions on […]
AWS – Amazon Textract announces updates to the text extraction feature
Amazon Textract is a machine learning service that automatically extracts text, handwriting, and data from any document or image. We continuously improve the underlying machine learning models based on customer feedback to provide even better accuracy. Today, we are pleased to announce quality enhancements to our text extraction feature available via the DetectDocumentText API. Read […]
GCP – Cloud Wisdom Weekly: 3 ways serverless can save money and accelerate app development
“Cloud Wisdom Weekly: for tech companies and startups” is a blog series dedicated to answering common questions our tech and startup customers ask us about leveraging data and building apps faster, smarter, and cheaper. In this installment, Google Cloud Product Manager Rachel Tsao explores how to save money and accelerate app development with serverless. Capital […]
GCP – Listen up: Meet our Multicloud Mindset series on Twitter Spaces
There’s never been a better time to talk about multicloud. It is not simply about ‘lifting-and-shifting’ old IT infrastructure to a cloud for cost savings and convenience, but driving digital transformation by inventing new ways to accomplish business objectives using the best of breed services from different cloud providers. In fact, industry research finds that […]
GCP – Google Cloud expands higher education credits to support 75+ countries globally
To better support equity and opportunity in higher education across the globe, we are pleased to announce the expansion of Google Cloud research, teaching, and learning credits to support additional countries in Asia Pacific and Latin America. “Credits allow users to learn, build, and discover through hands-on access to the computing power of Google Cloud.” […]
GCP – View policy enforcement metrics for ACM Policy Controller
Policy Controller enables the enforcement of fully programmable policies for your clusters. These policies act as “guardrails” and prevent any changes from violating security, operational, or compliance controls at admission time, and post admission, using continuous audit. Through ongoing conversations with platform and security administrators, we have received feedback about increasing visibility into how the […]
GCP – Building a Machine Learning Platform with Kubeflow and Ray on Google Kubernetes Engine
Increasingly more enterprises adopt Machine Learning (ML) capabilities to enhance their services, products, and operations. As their ML capabilities mature, they build centralized ML Platforms to serve many teams and users across their organization. Machine learning is inherently an experimental process requiring repeated iterations. An ML Platform standardizes the model development and deployment workflow to […]
