Welcome to above the clouds
Azure – Public preview: Distributed tracing for Java apps on Azure Functions Linux
Distributed tracing for Java apps on Azure Functions can now be enabled through Azure portal. This integration provides additional insights into end-to-end transactions that were not previously supported, completes the application map, which aggregates many transactions to show a topological view your system, and lets you detect and diagnose performance bottlenecks. Read More for the […]
Azure – Announcing general availability of Azure AD-joined VMs support
You can now deploy Azure AD-joined VMs in your host pools for Azure Virtual Desktop. Read More for the details.
Azure – Azure Functions runtime 4.0 is now in public preview
Azure Functions 4.0 includes support for .NET 6. Read More for the details.
GCP – Understanding Cloud SQL maintenance: how do you manage it?
Picture this: you’ve just set up a mission-critical database on Cloud SQL and you’re excitedly preparing to turn on live traffic. As you go through your final launch checklist, you recall that Cloud SQL schedules routine maintenance. You pause to consider whether your system is set up properly to account for these maintenance updates. In […]
GCP – Dual deployments on Vertex AI
In this post, we will cover an end-to-end workflow enabling dual model deployment scenarios using Kubeflow, TensorFlow Extended (TFX), and Vertex AI. We will start with the motivation behind the project and then we will move over to the approaches we realized as a part of this project. We will conclude the post by going […]
GCP – What’s your org’s reliability mindset? Insights from Google SREs
Editor’s note: There’s more to ensuring a product’s reliability than following a bunch of prescriptive rules. Today, we hear from some Google SREs—Vartika Agarwal, Senior Technical Program Manager, Development; Tracy Ferrell, Senior SRE Manager; Mahesh Palekar, Director SRE; and Magi Agrama, Senior Technical Program Manager, SRE—about how to evaluate your team’s current reliability mindset, and […]
GCP – Introducing Google Cloud Deploy: Managed continuous delivery to GKE
Continuous delivery is frequently top-of-mind for organizations adopting Google Kubernetes Engine (GKE). However, continuous delivery —deploying container image artifacts into your various environments—remains complex, particularly in Kubernetes environments. With little in the way of accepted best practices, building and scaling continuous delivery tooling, pipelines, and repeatable processes is hard work that requires a lot of […]
GCP – DynamoDB to Cloud Spanner via HarbourBridge
Today, we would like to announce that HarbourBridge—the open source toolkit that automates much of the migration effort to Cloud Spanner including evaluation and assessment—supports DynamoDB in addition to existing support for PostgreSQL and MySQL. This allows DynamoDB users to try out Cloud Spanner with zero-configuration. HarbourBridge helps users to quickly resolve issues during schema […]
GCP – New research from Google Cloud reveals five innovation trends for market data
While some traditional financial services companies have more slowly transitioned to the cloud, capital markets firms have embraced cloud computing across their entire value chains — front-, middle-, and back-office. We wanted to understand the dynamics behind this rapid adoption, the most common use cases, and the types of technology most in use, particularly as […]
AWS – Amazon SageMaker Autopilot now generates additional metrics for classification problems
Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Starting today, SageMaker Autopilot generates additional metrics, along with the objective metric, for all model candidates. For binary classification problems, Autopilot now generates F1 score (harmonic mean of the […]
