In today’s fast-paced business environment, startups need to leverage the power of the cloud to achieve scale, performance, and consistency for their apps. Google Cloud provides three popular cloud databases that enable reliable PostgreSQL: Spanner, AlloyDB and Cloud SQL. In this article, we will explore the features and benefits of these databases, focusing on AlloyDB […]

Historically, Dataflow Streaming Engine has offered exactly-once processing for streaming jobs. Recently, we launched at-least-once streaming mode as an alternative for lower latency and cost-of-streaming data ingestion. In this post, we will explain both streaming modes and provide guidance on how to choose the right mode for your streaming use case. Exactly-once: what it is […]

Managing the growth of your Kubernetes clusters within Google Kubernetes Engine (GKE) just got easier. We’ve recently introduced the ability to directly monitor and set alerts for crucial scalability limits, providing you with deeper insight and control over your Kubernetes environment. Effective scalability management is essential for avoiding outages and optimizing resource usage in Kubernetes. […]

Cloud spending can be a big concern for financial operations (FinOps) teams. Google Cloud’s Active Assist tooling can help, generating cost savings recommendations for optimizing Google Cloud resources. Then there are tools like Recommendation Hub and FinOps Hub, which offer consolidated views into recommendations for project owners and billing administrators. These tools are a big […]

Today we’re excited to announce the general availability of Rocky Linux 8-based and CentOS 7-based HPC Virtual Machine (VM) images for high-performance computing (HPC) workloads, with a focus on tightly-coupled workloads, such as weather forecasting, fluid dynamics, and molecular modeling. With the HPC VM image, we have made it easy to build an HPC-ready VM […]

We’ve built Cloud Run, a fully managed container platform, directly on top of Google’s scalable infrastructure to simplify developers’ lives and make it easier to build cloud-native applications. As it stands, each Cloud Run instance has access to its own local file system. But what if you have an existing application that expects to access […]

Editor’s note: Stanford University Assistant Professor Paul Nuyujukian and his team at the Brain Inferencing Laboratory explore motor systems neuroscience and neuroengineering applications as part of an effort to create brain-machine interfaces for medical conditions such as stroke and epilepsy. This blog explores how the team is using Google Cloud data storage, computing and analytics […]

We are excited that bidirectional data sharing between BigQuery and Salesforce Data Cloud is now generally available. This will make it easy for customers to enrich their data use cases by combining data across different platforms securely, without the additional cost of building or managing data infrastructure and complex ETL (Extract, Transform, Load) pipelines. Responding […]

When developers are innovating quickly, security can be an afterthought. That’s even true for AI/ML workloads, where the stakes are high for organizations trying to protect valuable models and data.  When you deploy an AI workload on Google Kubernetes Engine (GKE), you can benefit from the many security tools available in Google Cloud infrastructure. In […]