Welcome to above the clouds
AWS – Amazon CloudFront supports header names of up to 1024 characters in CloudFront policies
Amazon CloudFront now supports a maximum of 1024 characters across all header names in cache, origin request, and origin response policies. With 1024 characters, customers now have 512 extra characters to add header metadata to their policies. Read More for the details.
GCP – Prepare for Google Cloud certification with top tips and no-cost learning
Becoming Google Cloud certified has proven to improve individuals’ visibility within the job market, and demonstrate ability to drive meaningful change and transformation within organizations. 1 in 4 Google Cloud certified individuals take on more responsibility or leadership roles at work, and 87% of Google Cloud certified users feel more confident in their cloud skills1. […]
GCP – Multicloud reporting and analytics using Google Cloud SQL and Power BI
After migrating databases to Google Cloud, Cloud SQL developers and business users can use familiar business intelligence tools and services like Microsoft Power BI to connect to and report from Cloud SQL MySQL, PostgreSQL, and SQL Server databases. The ability to quickly migrate databases to GCP without having to worry about refactoring or developing new […]
GCP – Introducing Parallel Steps for Workflows: Speed up workflow executions by running steps concurrently
We’re excited to launch a new feature for Workflows, a serverless orchestrator for developers that connects multiple Google Cloud and external services. Parallel Steps—now in Preview—enables developers to run multiple concurrent steps, which can help reduce the time it takes to execute a workflow, particularly one that includes long-running operations like HTTP requests and callbacks. […]
GCP – Introducing Parallel Steps for Workflows: Speed up workflow execution time by running steps concurrently
We’re excited to launch a new feature for Workflows, a serverless orchestrator for developers that connects multiple Google Cloud and external services. Parallel Steps—now in Preview—enables developers to run multiple concurrent steps, which can help reduce the time it takes to execute a workflow, particularly one that includes long-running operations like HTTP requests and callbacks. […]
GCP – Quantifying portfolio climate risk for sustainable investing with geospatial analytics
Financial services institutions are increasingly aware of the significant role they can play in addressing climate change. As allocators of capital through their lending and investment portfolios, they direct financial resources for corporate development and operations in the wider economy. This capital allocation responsibility balances growth opportunities with risk assessments to optimize risk-adjusted returns. Identifying, […]
AWS – Use Result Fragment Caching with EMR runtime for Apache Spark to boost query performance by up to 15x
The Amazon EMR runtime for Apache Spark is a performance optimized runtime environment for Apache Spark, available and turned on by default on Amazon EMR clusters 5.28 onward. Amazon EMR runtime for Spark is up to 32x faster with 100% API compatibility with open source Spark. Read More for the details.
AWS – Announcing Heterogeneous Clusters for Amazon SageMaker model training
Amazon SageMaker model training now supports heterogeneous clusters, which enables launching training jobs that use multiple instance types in a single job. This new capability can improve your training cost by running different parts of the model training on the most suitable instance type. For example, we recently trained a ResNet-50 computer vision model on a […]
AWS – Amazon RDS for MariaDB supports new minor versions 10.6.8, 10.5.16, 10.4.25, 10.3.35, 10.2.44
Amazon Relational Database Service (Amazon RDS) for MariaDB now supports MariaDB minor versions 10.6.8, 10.5.16, 10.4.25, 10.3.35 and 10.2.44. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and, to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MariaDB […]
AWS – Amazon SageMaker Autopilot experiments are now up to 2x faster
Today, we’re pleased to announce that Amazon SageMaker Autopilot experiments run up to 2x faster to generate ML models with high model performance. Amazon SageMaker Autopilot is a low-code machine learning (ML) product that automatically builds, trains, and tunes the best ML models based on your data while allowing you to maintain full control and visibility. However, […]