Editor’s note: This is the second blog in a three-part series examining the internal Google history that led to Dataflow, how Dataflow works as a Google Cloud service, and how it compares and contrasts with other products in the marketplace. Check out part 1: Dataflow Under the Hood: the origin story. In the first post […]

As more organizations move to the cloud, the volume of machine generated data has grown exponentially and is increasingly important for many teams. Software engineers and SREs rely on logs to develop new applications and troubleshoot existing apps to meet reliability targets. Security operators depend on logs to find and address threats and meet compliance […]

Week 6 of Google Cloud Next ‘20: OnAir was all about Google Cloud databases and how to choose and use them, no matter where you are in your cloud journey. There was plenty to explore, from deep-dive sessions and demos to feature launches and customer stories. Across it all, what stood out is the strong […]

Logs are an essential tool for helping to secure your cloud deployments. In the first post in this series, we explored Cloud Identity logs and how you can configure alerts for potentially malicious activity in the Cloud Identity Admin Console to make your cloud deployment more secure. Today, we’ll take it a step further and […]

What do you do when your development and data science teams work in different language SDKs or if there are features available in one programming language, but not available in your preferred language? Traditionally, you’d either need to create workarounds that bridge the various languages, or else your team would have to go back and […]