Welcome to above the clouds
AWS – Amazon Aurora PostgreSQL-compatible edition now supports zero-downtime patching
Amazon Aurora PostgreSQL-compatible edition now supports zero-downtime patching (ZDP). With ZDP, customers can upgrade to a new PostgreSQL version and apply patches to their Aurora cluster without any downtime. Read More for the details.
AWS – Amazon Connect forecasting, capacity planning, and scheduling, now available in the Asia Pacific (Sydney) AWS region
Amazon Connect forecasting, capacity planning, and scheduling (preview) are now available in the Asia Pacific (Sydney) AWS region. Machine-learning powered capabilities make it easier for contact center managers to help predict contact volumes and average handle time with high accuracy, determine ideal staffing levels, and optimize agent schedules to ensure they have the right agents […]
AWS – Amazon SageMaker Experiments now supports common chart types to visualize model training results
SageMaker Experiments now supports granular metrics and graphs to help you better understand results from training jobs performed on SageMaker. Amazon SageMaker Experiments is a capability of Amazon SageMaker that lets you organize, track, compare and evaluate machine learning (ML) experiments. With this launch, you can now view precision and recall (PR) curves, receiver operating […]
AWS – Amazon AppFlow now supports Salesforce Marketing Cloud as a source
Amazon AppFlow, a fully managed integration service that helps customers securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports Salesforce Marketing Cloud as a source. Salesforce Marketing Cloud is a leading marketing automation platform for B2B and B2C customers that helps companies deliver relevant, personalized journeys across […]
GCP – Introducing the executeSelect client library method and how to use it
The BigQuery Java client library makes it easier to access BigQuery APIs using Java. Since its inception in 2016, numerous features and improvements have been added to the client library to enable BigQuery developers and practitioners. Most notably, a new Connection interface was recently introduced in the Java client library. It aims to improve the […]
GCP – EvoJAX: Bringing the Power of Neuroevolution to Solve Your Problems
JAX is one of the most important machine learning (ML) frameworks at Google these days that allows both simplified user code, large-scale parallelization and orders of magnitude acceleration. The framework used in recent state of the art results include Pathways Language Model (PaLM) for language understanding, Brax and JAX MD for physics and molecular dynamics […]
GCP – How Redbox improved service resilience and availability across clusters with GKE and Anthos multicluster ingress
Americans are used to seeing movie-stuffed red kiosks at stores around the country. The company that offers these movie kiosks—along with On Demand entertainment—is Redbox. Redbox started their cloud-native journey by having microservices deployed across one region with another cloud provider and this was primarily on a single Compute cluster in the region. With business […]
GCP – Catalyst Black: the next-generation mobile multiplayer action game built on Google Cloud
At Super Evil Megacorp our vision is to push the creative and technical boundaries of video games. This was the driving force behind Vainglory, released in 2014, which showcased AAA-quality games can be successful on mobile while filling a gap for multiplayer online battle arena games on mobile. Our vision continues with the development of […]
GCP – Smooth sailing: The resource hierarchy for adopting Google Cloud BigQuery across Twitter
Editor’s note: As part of an on-premises data warehousing migration to BigQuery, Twitter and Google Cloud teams created a Google Cloud resource hierarchy architecture that provides one-to-one mapping of the Hadoop Distributed File System (HDFS) to BigQuery. Designed for scalability and security, this architecture is set up to enable smoother adoption of BigQuery by mirroring […]
AWS – Amazon SageMaker Data Wrangler now enables model training with Amazon SageMaker Autopilot
Starting today, you can invoke SageMaker Autopilot from SageMaker Data Wrangler to automatically train, tune and build machine learning models. SageMaker Data Wrangler reduces the time to aggregate and prepare data for machine learning (ML) from weeks to minutes. SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, […]