Unable to change memory allocation in Cloud Function
I am trying to increase the the Memory Allocation for some of my Cloud Function for past few hours. If I chang...
Serverless
Explore topics and ask questions about serverless computing, including product conversations around Cloud Run, Cloud Functions, App Engine, Workflows, and Eventarc.
Forum Posts
Receiving 500s trying to get logs for Firebase Functions
I'm currently getting 500s when trying to get Firebase logs via both the web UI and CLI
0ms cold starts?
Hi there!I have been working with FaaS (and Serverless in general) for the last 5 years (using a different Clo...
Run a script in Google Sheets from an html web application
I’m trying to run a script remotely as per the instructions at https://developers.google.com/apps-script/api/h...
Articles from Product Experts and Googlers
Simplify your compliance and security with Assured Workloads for Google Cloud NetApp Volumes!
We are thrilled to announce a significant enhancement to Google Cloud NetApp Volumes with the integration of Assured Workloads. This powerful combination empowers organizations to deploy NetApp Volumes in a rigorously secure and controlled environment, specifically designed to meet the stringent compliance demands of highly regulated sectors such as government, healthcare, and financial services.
LLMs vs. embeddings for Contextual Relevance Assessment
In many real-world applications, we encounter tasks that sit at the intersection of semantic understanding and contextual judgment. One such common scenario is determining if a set of keywords truly aligns with a brand, its products, and its messaging (like a tagline). This isn't just about whether the words are synonyms; it's about relevance in a specific context. Does "eco-friendly" align well with a fast-fashion brand's new line, even if the tagline mentions "sustainable materials"? Does "high-performance" fit a budget-friendly product?
From data to metadata: Unlocking insights with Gen AI in BigQuery
Metadata is essential for various data initiatives, from deploying NLP solutions and chat with your data applications to enabling semantic search and establishing a business glossary. However, the manual effort of documenting every data attribute within a platform can be time-consuming and error-prone. At Google Cloud Next, we announced BigQuery Data Insights and Automated Metadata Generation, two powerful capabilities that simplify this process using Gen AI.
