Welcome to above the clouds
GCP – 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 development and outcomes using docs and spreadsheets is neither reliable nor easy to share. Consequently the process of ML development is severely affected. Indeed, not […]
GCP – Making AI more accessible for every business
Alphabet CEO Sundar Pichai has compared the potential impact of artificial intelligence (AI) to the impact of electricity—so it may be no surprise that at Google Cloud, we expect to see increased AI and machine learning (ML) momentum across the spectrum of users and use cases. Some of the momentum is more foundational, such as […]
Azure – Public preview: Azure Active Directory authentication for exporting and importing Managed Disks
Improve security with the new integration to Azure Active Directory (AD) used to export and import data to Azure Managed Disks. Read More for the details.
GCP – Multicloud strategy for the public sector: Optimize return, mitigate risk
Government organizations are starting to realize that no single cloud can meet their wide range of needs. According to the Nutanix 2022 Enterprise Cloud Index1, 75% of public sector organizations agree that multicloud is ideal, and more public sector organizations than average have adopted multicloud as a primary IT operating model (outpacing the global average). […]
GCP – How to think about threat detection in the cloud
As your organization transitions from on-premises to hybrid cloud or pure cloud, how you think about threat detection must evolve as well—especially when confronting threats across many cloud environments. A new foundational framework for thinking about threat detection in public cloud computing is needed to better secure digital transformations. Because these terms have had different […]
AWS – Introducing Log Anomaly Detection and Recommendations for Amazon DevOps Guru
Today, we are announcing the general availability of a new feature, Log Anomaly Detection and Recommendations for Amazon DevOps Guru. As part of this feature, DevOps Guru will ingest Amazon CloudWatch Logs for AWS resources that make up your application, with Lambda being first. Logs will provide new enrichment data in an insight to enable […]
AWS – Amazon Redshift announces support for Row-Level Security (RLS)
Amazon Redshift now supports Row-Level Security (RLS), a new enhancement that simplifies design and implementation of fine-grained access to the rows in tables. With RLS, you can restrict access to a subset of rows within a table based on the users’ job role or permissions and level of data sensitivity with SQL commands. By combining column-level […]
AWS – Amazon Redshift Serverless is now generally available
Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available. With Amazon Redshift Serverless, all users—including data analysts, developers, and data scientists—can now use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales […]
AWS – Announcing general availability (GA) of Automated Materialized View for Amazon Redshift
Amazon Redshift announces GA of Automated Materialized View (AutoMV) that helps you to lower query latency for repeatable workloads. AutoMV minimizes your effort for manually creating and managing materialized views and provides you the same performance benefits of user-created materialized views. Dashboard queries used to provide quick views of key performance indicators (KPIs), events, trends, and […]
AWS – Announcing the general availability of AWS Cloud WAN
Today, AWS announced the general availability of AWS Cloud WAN, a wide area networking (WAN) service that helps you build, manage, and monitor a unified global network. The service manages traffic running between your AWS resources and your on-premises environments. Read More for the details.