Posts in tag

Serverless


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 …

Plea and the Pledge: Truly Serverless As modern application developers, we’re juggling many priorities: performance, flexibility, usability, security, reliability, and maintainability. On top of that, we’re handling dependencies, configuration, and deployment of multiple components in multiple environments and sometimes multiple repositories as well. And then we have to keep things secure and simple. Ah, the …

Editor’s note: In today’s guest post we hear from Gramercy Tech on their experience working with Google Cloud’s serverless technologies as both a customer and vendor. Large events are always a lot of work. By leveraging the pre-provisioned infrastructure of Cloud Run in multiple regions and global load balancing, the team could focus on content …

Cloudflare, Inc. (NYSE: NET), the security, performance, and reliability company helping to build a better Internet, today announced Cloudflare D1, a simple and instant serverless database. Cloudflare D1 will enable developers to start building database-backed applications using Cloudflare Workers with just a few clicks. Data will be stored close to where their users are, providing lightning …

Introduction As Google Cloud users, you may already be familiar with Google App Engine, Cloud Functions, or Cloud Run, our serverless platforms allowing technical practitioners to focus on building solutions, not what they run on. Google as a whole, has many divisions which provide developer tools beyond these platforms, so a common question which arises …

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 …

Harnessing the power of data is key to the success of organizations. However, what it means to be data-driven changes as the nature of business and user expectations also change. In today’s fast-paced landscape, organizations need to immediately react to data. Users expect action using up-to-date, real-time data and insights. Building applications and systems that …

As Google Cloud has become a choice for more startups, I’ve experienced an increase in founders asking how they should think about cloud services. Though each startup is different and requirements may vary across industries and regions, I’ve seen a few core best practices that help startups to succeed—as well as several traps to avoid. …

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 …

Reliably executing tasks on a schedule is critical for everything from data engineering, to infrastructure management, and application maintenance. Today, we are thrilled to announce that Google Cloud Scheduler, our enterprise-grade scheduling service, is now available in more GCP regions and multiple regions can now be used from a single project removing the prior limit …