Posts in tag

Cloud Functions


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 …

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 …

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 …

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 …

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 …

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 …

Editor’s note: Over the past several weeks, we’ve posted a series of blog posts focusing on best practices for writing Google Cloud Functions based on common questions or misconceptions as seen by the Support team.  We refer to these as “anti-patterns” and offer you ways to avoid them.  This article is the fifth post in …

Google Cloud Functions provides a simple and intuitive developer experience to execute code from Google Cloud, Firebase, Google Assistant, or any web, mobile, or backend application. Oftentimes that code needs secrets—like API keys, passwords, or certificates—to authenticate to or invoke upstream APIs and services. While Google Secret Manager is a fully-managed, secure, and convenient storage system for such …

Cloud Functions, Google Cloud’s Function as a Service (FaaS) offering, is a lightweight compute platform for creating single-purpose, stand-alone functions that respond to events, without having to manage a server or runtime environment. Cloud functions are a great fit for serverless, application, mobile or IoT backends, real-time data processing systems, video, image and sentiment analysis …

Whether your company is processing e-commerce transactions, producing goods or delivering IT services, you need to manage the flow of work across a variety of systems. And while it’s possible to manage those workflows manually or with general-purpose tools, doing so is much easier with a purpose-built product. Google Cloud has two workflow tools in …