Reaching 20k+ readers on Medium and over 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
[ETR #17] Warning: Your Google Cloud Function Might Fail Next Week
Extract. Transform. Read.A newsletter from PipelineTechnically, this title is misleading. Not because your Google Cloud Function won’t fail. It may. And we’ll get to that. I promise. But because Google Cloud Functions are now called Google Cloud Run functions, selecting a name that reflects a fusion between Cloud Run and Cloud Functions, which were previously two distinct Google Cloud Platform products. While both products leverage serverless architecture to run code, Cloud Run was geared more toward those developing apps while Cloud Functions was more of a “quick and dirty” way to get simpler scripts, like ETL pipelines, into production. No matter what GCP calls this product, you’ll still be able to run scripts using a serverless configuration. As a bonus, you’ll now be able to use NVIDIA-based CPUs to boost runtime compute power. To leverage this though, you’ll need to upgrade to a gen 2 cloud function. With many new releases comes obsolescence. This case is no different. Effective October 14th, Google Cloud Functions (excuse me, Google Cloud Run functions), will no longer support Python 3.8, as Python itself is ending support for 3.8 in the same time frame.
If you need to go into more depth with updating runtimes or other aspects of deployment, you can learn to deploy a cloud function in 5 days. It’s 100% free and comes with access to a dedicated GitHub repository. Enroll here. I want to make sure I keep you sufficiently updated, so here are this week’s links:
Until next time—thanks for ingesting, -Zach Quinn |
Extract. Transform. Read.
Reaching 20k+ readers on Medium and over 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
Hi fellow data professional! It finally happened. I fell for a job scam. Luckily I realized my naivety after responding to the initial email. But let’s back up. We’ll examine Why this particular attempt was so “real” What made me skeptical How to prevent this from happening to you Established professionals in any field have the privileged problem of receiving unsolicited recruiter inquiries. If it’s from a random firm I typically move it to junk; if it’s a big name company, I give a look...
Hi fellow data professional! The best data skills to develop right now might just be cutting and measuring. While that statement might be a bit facetious, the hot media narrative is to push the idea of blue collar work as a viable fallback if you’re having trouble breaking into a conventional tech role. Outlets like CNN have touted the fact that data center engineer is the hottest role in tech. Executives, specifically Nvidia’s Jensen Huang, speculate that data center construction (despite...
Hi fellow data professional! This is the 100th week I’m reaching out into the void of the Internet to connect with you in order to democratize data engineering career knowledge. In the golden age of cable TV, shows would celebrate the 100th episode milestone by airing extended content like a 1-hour special for a sitcom that would typically consume 30 minutes. But I know your time is valuable so I’m going to do the opposite and make this a shorter newsletter than normal. Since I live what I...