Built with BigQuery: How to Accelerate Data-Centric AI development with Google Cloud and Snorkel AI.

Since the 2006 launch of Amazon Web Services (AWS), the world’s first hyper-scale public cloud provider, thousands of data-driven businesses have shifted on-premise data storage and analytics workloads into the cloud by architecting or adopting a cloud data platform. As the volume, variety, and velocity of enterprise data continues to grow in 2023, cloud data platforms with legacy tech and complex architectures are becoming increasingly time-consuming and costly to manage.

About a decade ago, cloud computing became the norm in enterprise IT deployments. Infrastructure as a Service (IaaS) and Integrated Platform as a Service (iPaaS) vendors were fiercely competing to deliver the private and public cloud products that would power the next generation of app development, processing, storage, and networking. And since APIs are at the heart of cloud computing, the race was on to deliver the API that developers and sysadmins would most favor. The Cloud API War had begun.

Eventarc - Use Cloud Run to react to events about changes in the provisioned cloud resources.

Today, we are glad to share that you can interact with your Koyeb resources in your infrastructure using Pulumi. Pulumi is a modern infrastructure as code platform that allows you to define, deploy, and manage cloud infrastructure on any cloud using your favorite programming languages.

Cloud testing is an increasingly popular way of testing applications due to its lower maintenance costs compared to on-premises testing. It utilizes cloud-based tools to simulate real-world traffic and measure performance, scalability, security, and reliability. Through this article, let’s uncover the basics of cloud-based testing, including its types, benefits, and tools. Table Of Contents.

There is a long history of clustering architectures with respect to building distributed databases for two primary reasons. The first is scalability. If a cluster of nodes has reached its capacity to perform work, adding additional nodes are introduced to handle the increased load. The second is availability. The ability to ensure that if a node fails, let’s say during ingestion and/or querying, remaining nodes would continue to execute due to state replication.

Cloud orchestration platforms employ automation to manage IT operations and resources in private and public cloud infrastructure. Technologies for cloud orchestration include automated processes and tasks into a workflow to carry out particular business operations. Cloud orchestration solutions differ from cloud automation solutions as they are more like platforms than plug-and-play tools. Cloud orchestration solutions are simple tools.