Welcome to above the clouds

GCP – SoFi Stadium powers the return of live entertainment with Google Cloud
Editor’s note: Engineers from SoFi Stadium, Google Cloud, and Deloitte built a fan-ready Personal Concierge app that uses advanced analytics to tailor game-day experiences for every visitor. SoFi’s 10-year partnership with Google Cloud not only pumps up the fans. Advanced analytics also enable stadium employees to securely store, analyze, and action analytics data, and seamlessly collaborate […]

GCP – Managed Istio-based service mesh on our managed GKE clusters: Anthos Service Mesh comes to GKE Autopilot
We launched GKE Autopilot last year and since then, we’ve been hard at work adding additional functionality to deliver a fully featured, fully managed Kubernetes platform. Today, we’re excited to introduce Anthos Service Mesh availability on GKE Autopilot Clusters. (Not familiar with GKE Autopilot or Anthos Service Mesh yet? Check out the Autopilot breakout session […]

GCP – How tech companies and startups get to market faster with containers on Google Cloud
Every tech company and growing startup faces pressure to make efficient use of technical talent. Increasingly, this means determining if and how the cloud can help this talent focus on things like product development instead of IT overhead. These challenges are the starting place for our new whitepaper “The future of infrastructure will be containerized,” […]

GCP – How Wayfair says yes with BigQuery—without breaking the bank
Editor’s note: Home-goods and furniture giant Wayfair first partnered up with Google Cloud to transform and scale its storefront—work that proved its value many times over during the unprecedented surge in ecommerce traffic during 2020. Today, we hear how BigQuery’s performance and cost optimization have transformed the company’s internal analytics to create an environment of […]

GCP – Unified data and ML: 5 ways to use BigQuery and Vertex AI together
Are you storing your data in BigQuery and interested in using that data to train and deploy models? Or maybe you’re already building ML workflows in Vertex AI, but looking to do more complex analysis of your model’s predictions? In this post, we’ll show you five integrations between Vertex AI and BigQuery, so you can […]

AWS – AWS App Runner adds support for Amazon VPC
AWS App Runner services can now communicate with other applications hosted in an Amazon Virtual Private Cloud (Amazon VPC). You can now connect you App Runner services to databases in Amazon Relational Database Service (Amazon RDS), to Redis caches in Amazon ElastiCache, or to message queues in Amazon MQ. You can also connect your services […]

Azure – Generally available: Find developer resources easily with the IoT Central GitHub repository
Easily find developer resources and sample code for building Azure IoT Central solutions at the new Azure IoT Central GitHub repository. Read More for the details.

GCP – Long-running containers with Workflows and Compute Engine
Sometimes, you need to run a piece of code for hours, days, or even weeks. Cloud Functions and Cloud Run are my default choices to run code. However, they both have limitations on how long a function or container can run. This rules out the idea of executing long-running code in a serverless way. Thanks […]

Azure – Generally available: Improved getting started material in Azure IoT Central documentation
New FAQ articles and a re-organized landing page and table of contents improves your ability to find the information you need about Azure IoT Central. Read More for the details.
AWS – Amazon S3 Batch Replication synchronizes existing data between buckets
Amazon S3 Replication is an elastic, fully managed, low-cost feature that replicates newly uploaded objects across two or more Amazon S3 buckets, keeping buckets in sync. Now, with S3 Batch Replication, you can synchronize existing objects between buckets. Read More for the details.