On day one of the Google NEXT 2018 conference which has a sold-out attendance at San Francisco’s Moscone center, Google’s drive and mission for cloud dominance and on-boarding of enterprise clients couldn’t be more poignant. At this conference, Google Cloud…

I joined Chris Presley in an episode of one of his new podcasts, the Cloudscape Podcast, to share the latest news taking place around Google Cloud Platform (GCP). Some of the highlights of our discussion were: Google managed services –…

Both MS Excel and Google Sheets offer ways to connect directly to BQ data, to run queries, to pull data back to Excel/Sheets and allow further analysis via options such as pivot tables, charts and drilling up/down. MS Excel The…

In this blog post, I would like to share some options that you can consider to model your cloud DW for better query performance.  With a traditional EDW, we would either come up a STAR, Snowflake or similar schemas. These…

Introduction In this blog post, I’m not going to talk about what the term SRE means or how it works. My understanding is that Google has invented the term “Site Reliability Engineer” and that this is Google’s way of doing…

Currently, there is no straightforward way to schedule Google Cloud Functions. It is still possible to achieve this by different means, such as (but not limited to): deploying Compute Engine instance and setting crontab entry configuring HTTP/S uptime checks via…

I explained in an earlier post how I am using GCP’s Cloud Shell for all of my command-line needs all the time. Whenever you start your cloud shell, Google Cloud Platform (GCP) spins up a small compute instance with the…

I am useless without a shell. For anything from managing git repositories, editing files with vim, writing small scripts and programs in bash, python or java to controlling cloud environments I prefer a command line interface. So when I learned…

Introduction In this article we will explore one approach for deploying ProxySQL behind a load balancer in Google Cloud. While considering the deployment of ProxySQL, one has basically the following options: Install ProxySQL on existing application server(s) Provision dedicated ProxySQL…

Amazon SageMaker and Google Datalab have fully managed cloud Jupyter notebooks for designing and developing machine learning and deep learning models by leveraging serverless cloud engines. However, as much as they have in common, there are key differences between the…