Welcome to above the clouds
![Azure – Azure Front Door Standard and Premium now in public preview Azure – Azure Front Door Standard and Premium now in public preview](https://d18irkac88mxhx.cloudfront.net/wp-content/uploads/2023/06/default-logo-750.png)
Azure – Azure Front Door Standard and Premium now in public preview
Azure Front Door Standard and Premium, enables Azure customers to securely deliver and manage their global applications and content, migrate to cloud and modern microservice architectures and improve their users’ experience. Read More for the details.
![GCP – Benchmarking rendering software on Compute Engine GCP – Benchmarking rendering software on Compute Engine](https://d18irkac88mxhx.cloudfront.net/wp-content/uploads/2025/01/default-logo-750.png)
GCP – Benchmarking rendering software on Compute Engine
For our customers who regularly perform rendering workloads such as animation or visual effects studios, there is a fixed amount of time to deliver a project. When faced with a looming deadline, these customers can leverage cloud resources to temporarily expand their fleet of render servers to help complete work within a given timeframe, a […]
![Azure – Azure Database for PostgreSQL – Hyperscale (Citus) audit logging via pgAudit now in public preview Azure – Azure Database for PostgreSQL – Hyperscale (Citus) audit logging via pgAudit now in public preview](https://d18irkac88mxhx.cloudfront.net/wp-content/uploads/2023/06/default-logo-750.png)
Azure – Azure Database for PostgreSQL – Hyperscale (Citus) audit logging via pgAudit now in public preview
Now in preview, audit logging of database activities in Azure Database for PostgreSQL – Hyperscale (Citus) is available through the PostgreSQL audit extension pgAudit, providing detailed session and/or object audit logging. Read More for the details.
![GCP – New in Google Cloud VMware Engine: improved reach, networking and scale GCP – New in Google Cloud VMware Engine: improved reach, networking and scale](https://d18irkac88mxhx.cloudfront.net/wp-content/uploads/2025/01/default-logo-750.png)
GCP – New in Google Cloud VMware Engine: improved reach, networking and scale
Every enterprise is striving to adopt a cloud-first strategy, but making that happen is easier said than done. Google Cloud VMware Engine simplifies the challenges of moving and modernizing critical workloads to the cloud, letting you seamlessly migrate your VMware workloads from on-premises data centers directly into Google Cloud. We have been hard at work […]
![GCP – New framework expands Google Cloud access globally GCP – New framework expands Google Cloud access globally](https://d18irkac88mxhx.cloudfront.net/wp-content/uploads/2025/01/default-logo-750.png)
GCP – New framework expands Google Cloud access globally
As part of our commitment to supporting pioneering research globally, Google Cloud is proud to announce that its services are now available to participants in the OCRE (Open Clouds for Research Environment) framework. Co-founded in January 2019 by GÉANT, the leading technology organization for higher education and research institutions in Europe, the OCRE framework facilitates […]
![GCP – Signify chooses Google Cloud IoT Core to power Philips Hue smart lighting GCP – Signify chooses Google Cloud IoT Core to power Philips Hue smart lighting](https://d18irkac88mxhx.cloudfront.net/wp-content/uploads/2025/01/default-logo-750.png)
GCP – Signify chooses Google Cloud IoT Core to power Philips Hue smart lighting
Today, more than ever, consumers expect personalization, innovation and information protection from their connected products and services. According to industry analysts, this trend will continue, and the number of connected devices will likely exceed 21.5B in 2025.1 To successfully execute a connected products strategy, IoT manufacturers must choose a partner that can scale with their […]
![AWS – Amazon ml.Inf1 instances are now available on Amazon SageMaker in 14 additional AWS regions AWS – Amazon ml.Inf1 instances are now available on Amazon SageMaker in 14 additional AWS regions](https://d18irkac88mxhx.cloudfront.net/wp-content/uploads/2023/06/default-logo-750.png)
AWS – Amazon ml.Inf1 instances are now available on Amazon SageMaker in 14 additional AWS regions
Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. To deploy ML models for real-time predictions, Amazon SageMaker provides you with a large selection of AWS compute instances, so you can find the right cost to performance […]
![AWS – AWS Glue Studio jobs can now update AWS Glue Data Catalog tables AWS – AWS Glue Studio jobs can now update AWS Glue Data Catalog tables](https://d18irkac88mxhx.cloudfront.net/wp-content/uploads/2023/06/default-logo-750.png)
AWS – AWS Glue Studio jobs can now update AWS Glue Data Catalog tables
AWS Glue Studio now supports updating the AWS Glue Data Catalog during job runs. This feature makes it easy to keep your tables up to date as AWS Glue writes new data into Amazon S3, making the data immediately queryable from any analytics service compatible with the AWS Glue Data Catalog. Read More for the […]
![AWS – Amazon Redshift Query Editor now supports clusters with enhanced VPC routing, longer query run times, and all node types AWS – Amazon Redshift Query Editor now supports clusters with enhanced VPC routing, longer query run times, and all node types](https://d18irkac88mxhx.cloudfront.net/wp-content/uploads/2023/06/default-logo-750.png)
AWS – Amazon Redshift Query Editor now supports clusters with enhanced VPC routing, longer query run times, and all node types
You can now use the Amazon Redshift Query editor with Amazon Redshift clusters enabled with enhanced VPC routing. You can leverage AWS Secrets Manager to store your cluster credentials and use that with the Amazon Redshift Query Editor. Read More for the details.
AWS – Amazon EC2 Inf1 instances are now available on Amazon SageMaker in 14 additional AWS regions
Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. To deploy ML models for real-time predictions, Amazon SageMaker provides you with a large selection of AWS compute instances, so you can find the right cost to performance […]