Welcome to above the clouds
GCP – How the new Google Cloud to Neo4j Dataflow template streamlines data movement
Neo4j provides a graph database that offers capabilities for handling complex relationships and traversing vast amounts of interconnected data. Google Cloud complements this with robust infrastructure for hosting and managing data-intensive workloads. Together, Neo4j and Google Cloud have developed a new Dataflow template, Google Cloud to Neo4j (docs, guide), that you can try from the […]
GCP – Troubleshooting distributed applications: Using traces and logs together for root-cause analysis
When troubleshooting distributed applications that are made up of numerous services, traces can help with pinpointing the source of the problem, so you can implement quick mitigating measures like rollbacks. However, not all application issues can be mitigated with rollbacks, and you need to undertake a root-cause analysis. Application logs often provide the level of […]
GCP – Databases upgrade made easy with in-place major version upgrades on Cloud SQL
Using Cloud SQL, our fully managed relational database service is a powerful way to streamline your database operations and focus on innovation. Cloud SQL handles the complexities of database administration for you, delivering a robust and secure relational database platform that’s scalable and highly available, all the while simplifying management tasks and reducing operational costs. […]
GCP – Making BigQuery ML feature preprocessing reusable and modular
In machine learning, transforming raw data into meaningful features, a preprocessing step known as feature engineering, is a critical step. BigQuery ML has made significant strides in this area, empowering data scientists and ML engineers with a versatile set of preprocessing functions for feature engineering (see our previous blog). These transformations can even be seamlessly […]
GCP – Laying the foundation for a career in platform engineering
Imagine that you’re an engineer at the company Acme Corp and you’ve been tasked with some big projects: integrating and delivering software using CI/CD and automation, as well as implementing data-driven metrics and observability tools. But many of your fellow engineers are struggling because there’s too much cognitive load — think deploying and automating Kubernetes […]
GCP – How Deutsche Bank achieved high availability and scalability with Spanner
Deutsche Bank is the leading German bank with strong European roots and a global network. The bank provides financial services to companies, governments, institutional investors, small and medium-sized businesses and private individuals. For its German retail banking business, the bank recently completed the consolidation of two separate IT systems — Deutsche Bank and Postbank — to […]
GCP – Cloud switching just got easier: Removing data transfer fees when moving off Google Cloud
At Google Cloud, we work to support a thriving cloud ecosystem that is open, secure, and interoperable. When customers’ business needs evolve, the cloud should be flexible enough to accommodate those changes. Starting today, Google Cloud customers who wish to stop using Google Cloud and migrate their data to another cloud provider and/or on premises, […]
GCP – Tech Empowerment Day helps underserved students explore modern technology
On October 4th, Los Angeles County hosted its second annual Tech Empowerment Day to celebrate Digital Inclusion Week at the Los Angeles Memorial Coliseum. This event is part of L.A.’s Delete the Divide initiative, which supports underserved communities with technology resources. A founding sponsor of Tech Empowerment Day in 2022, Google Cloud again served as […]
GCP – Driving diversity in AI: a new Google for Startup Accelerator for Women Founders from Europe & Israel
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GCP – Document AI Custom Extractor, powered by gen AI, is now Generally Available
Today, we are excited to announce that the Document AI Custom Extractor, powered by generative AI, is Generally Available (GA), open to all customers, and ready for production use through APIs and the Google Cloud Console. The Custom Extractor, built with Google’s foundation models, helps parse data from structured and unstructured documents quickly and with […]
