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Cloud Functions

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  • 10 min

Movie Score Prediction With BigQuery, Vertex AI And MongoDB Atlas

Hey there! It’s been a minute since we last wrote about Google Cloud and MongoDB Atlas together. We had an idea for this new genre of experiment that involves BigQuery, BQML, Vertex AI, Cloud Functions, MongoDB Atlas, and Cloud Run and we thought of putting it together in this blog. You will get to learn how we brought these services together in delivering a full stack application and other independent functions and services the application uses. Have you read our last blog about Serverless MEAN stack applications with Cloud Run and MongoDB Atlas? If not, this would be a good…
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  • 4 min

Cloud Functions Vs. Cloud Run: When To Use One Over The Other

Embracing serverless architectures help you bring solutions to market faster at lower cost with decreased management overhead than traditional approaches. Cloud Functions and Cloud Run are two such serverless compute products from Google Cloud, and customers often ask us “when does it make more sense to use Cloud Functions or Cloud Run?” Commerzbank AG is one such customer, and has developed a framework for helping to decide where to deploy and how to manage their serverless workloads. “We employ cloud-native services to benefit from their scalability, security, and serverless nature in order to deliver a future-proof and business centric foundation,”…
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  • 6 min

Lightweight Application Development With Serverless Cloud Functions (Java) And Cloud SQL (SQL Server) In 2 Minutes

Introduction In this post, you’ll learn to build a Java based Cloud Function that will connect to a Cloud SQL for SQL Server database using the Cloud SQL Connector for Java. This solution will help you learn to build event driven lightweight solutions for any stand-alone functionality with Cloud SQL database that respond to Cloud events without needing to manage a server or runtime environment. What is Cloud SQL? Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational databases on Google Cloud Platform. It has 99.95% availability and supports…
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  • 4 min

Cloud Functions 2nd Gen Is GA, Delivering More Events, Compute And Control

For over seven years, Functions-as-a-Service has changed how developers create solutions and move toward a programmable cloud. Functions made it easy for developers to build highly scalable, easy-to-understand, loosely-coupled services. But as these services evolved, developers faced challenges such as cold starts, latency, connecting disparate sources, and managing costs. In response, we are evolving Cloud Functions to meet these demands, with a new generation of the service that offers increased compute power, granular controls, more event sources, and an improved developer experience. Today, we are announcing the general availability of the 2nd generation of Cloud Functions, enabling a greater variety…
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  • 4 min

Ingesting Google Cloud Storage Files To BigQuery Using Cloud Functions And Serverless Spark

Apache Spark has become a popular platform as it can serve all of data engineering, data exploration, and machine learning use cases. However, Spark still requires the on-premises way of managing clusters and tuning infrastructure for each job. This increases costs, reduces agility, and makes governance extremely hard; prohibiting enterprises from making insights available to the right users at the right time.Dataproc Serverless lets you run Spark batch workloads without requiring you to provision and manage your own cluster. Specify workload parameters, and then submit the workload to the Dataproc Serverless service. The service will run the workload on a…
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  • 3 min

Celebrating Pi Day With Cloud Functions

March 14 is Pi Day, an annual celebration of the mathematical constant π. We’re doing a few experiments with the new Cloud Functions (2nd gen) this year to showcase the new serverless platform. Serverless π calculation Can we go serverless to calculate π? There is a relatively new algorithm called the Bailey–Borwein–Plouffe formula (BBP formula) to calculate digits of π without computing the preceding digits, which means we can run many calculations in parallel and gather the results later. We can build a MapReduce pipeline to get the numbers. Cloud Functions (2nd gen) supports larger instances (16 GB memory and 4 vCPUs) and extends…
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  • 2 min

Supercharge Your Event-Driven Architecture With New Cloud Functions (2nd Gen)

We are introducing Cloud Functions (2nd gen) into public preview, Google Cloud’s next-generation Functions-as-a-Service product. This next generation version of Cloud Functions comes with an advanced feature set giving you more powerful infrastructure, advanced control over performance and scalability, more control around the functions runtime and triggers from over 90 event sources. Further, the infrastructure is powered by Google Cloud’s cutting-edge serverless and eventing infrastructure, Cloud Run and Eventarc.   Infrastructure that meets your workloads’ needs Cloud Functions adds a range of new capabilities for 2nd gen functions, such as concurrency (up to 1,000 concurrent requests per function instance), larger…
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  • 4 min

Smarter Applications With Document AI, Workflows And Cloud Functions

At enterprises across industries, documents are at the center of core business processes. Documents store a treasure trove of valuable information whether it’s a company’s invoices, HR documents, tax forms and much more. However, the unstructured nature of documents make them difficult to work with as a data source. We call this “dark data” or unstructured data that businesses collect, process and store but do not utilize for purposes such as analytics, monetization, etc. These documents in pdf or image formats, often trigger complex processes that have historically relied on fragmented technology and manual steps. With compute solutions on Google…
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  • 1 min

5 Things Not To Do With Cloud Functions, And 5 Things You Absolutely Should Do Instead

Over the past several weeks, you’ve seen a collection of the most common questions and misconceptions the Cloud Functions Support team sees about Cloud Functions. Here is a recap of these most common “anti-patterns” and what you should do instead:   How to write event-driven Cloud Functions properly by coding with idempotency in mind: We explored what idempotent functions are and how this design pattern is important for background-triggered functions. How to reuse Cloud Function instances for future invocations: We covered what global scope is for a Cloud Function, when to use, and what issues to look out for when used…
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  • 6 min

The Next Big Evolution In Serverless Computing

The term “serverless” has infiltrated most cloud conversations, shorthand for the natural evolution of cloud-native computing, complete with many productivity, efficiency and simplicity benefits. The advent of modern “Functions as a Service” platforms like AWS Lambda and Google Cloud Functions heralded a new way of thinking about cloud-based applications: a move away from monolithic, slow-moving applications toward more distributed, event-based, serverless applications based on lightweight, single-purpose functions where managing underlying infrastructure was a thing of the past. With these early serverless platforms, developers got a taste for not needing to reason about, or pay for, raw infrastructure. Not surprisingly, that…
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