GCP This Month

GCP This Month: New Developer cheat sheet, GCP architecture diagram tool & 2nd gen Cloud Functions

Episode description

Mattias is back with the biggest GCP news this month. We have new Cloud Deploy and Certificate Manager products, Google Bigtable autoscaling, Assured Workloads for EU, and a new generation of Cloud Functions. Plus, we take a look at the new 2022 Google Cloud Developer cheat sheet and GCP Architecture diagramming tool.

Quick jump to the Google Cloud Platform news:
Introduction (0:00)
Dataproc Serverless for Spark GA (0:31)
Spark through BigQuery in Preview support (0:54)
Autoscaling for Bigtable now GA (1:08)
New Compute Optimised AMD EPYC VMs (1:34)
Assured Workloads for EU now GA (2:00)
Cloud Functions 2nd Generation in public preview (2:33)
New fully-managed Certificate Manager (3:35)
Cloud Deploy now GA for continuous delivery to GKE (4:29)
Data Cloud Summit and Cloud Next coming up soon! (5:06)
2022 edition of Google Cloud Developer Cheat Sheet (5:48)
New GCP Architecture Diagramming Tool (7:12)

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Series description

Welcome to GCP This Month! We've created this new show to let you all know about the awesome news, happenings, events and analysis on what Google is doing in the cloud space.In each episode, join our hosts Mattias Andersson and Tim Berry as they go through GCP quick bites to give you rapid-fire updates on various releases. We'll then move into the GCP Gems segment, and mention ACG's hand-picked releases from GCP, which are the releases we've found to be most interesting. We'll then finish up with any other notable news from Google or GCP. Finally, we'll end off with our GCP edition of Guru of the Month!

Hello Cloud Gurus! This has been a big month  for Google Cloud Platform including new Cloud   Deploy and Certificate Manager products, autoscaling for Bigtable, Assured Workloads for EU,   a new generation of Cloud Functions and more. I'm Mattias Andersson and you're   watching GCP This Month for February  2022. Let's jump into some quick bites. If you're using Apache Spark to squeeze value from your data, I'm sure it's not because you just   really love managing those Spark clusters right? So then you'll be very happy to hear that Google   has just upgraded their Dataproc Serverless for Spark offering to generally available, so now you   can let Google manage the clusters and tune the infrastructure, and you can focus on coding instead.  And as a bonus there is now also a private preview of Spark through BigQuery making it even easier to   get all that sparky goodness right close to your data. Now speaking of managing clusters, Bigtable   has also gotten a boost here. Autoscaling for Bigtable is now generally available. There's no  

point in paying for an over-provisioned Bigtable cluster when your system doesn't need all that   capacity so this is a welcome change to better match your costs to your actual usage. And although   Google's blog post does use the rather fun word 'diurnal' no less than six times, I'm sure you could   just as easily save the 40% they mentioned if your workload happens to be nocturnal instead.   Okay this announcement is about the new compute-optimized c2d instance family using 3rd gen amd   EPYC milan processors. Milan, darling, milan. You can beef these up with as many as 112 vCPUs and   896 gigabytes of memory. Of course even though these are compute optimized CPUs you can still   choose your most appropriate ratio of processors to memory as usual in compute engine. Now in case  

you're unfamiliar with it, Assured Workloads is Google's response to Amazon's Govcloud but instead   of being a separate cloud region that meets compliance, Google has a system for workloads to  meet compliance in any GCP Region within that part of the world. Well Google's offering of Assured   Workloads for the European Union is now generally available and while this includes data residency, data encryption, and google personnel, they're still in public preview with the sovereignty controls  integration with cloud external key manager that lets you keep your data encryption keys outside of   GCP. Now if you've been following this series for a while or hey maybe even if you haven't then you  probably know that i love all things serverless, right? And if you do too then you'll be happy to   hear that Google has just released into public preview their second generation of Cloud Functions. Now since this new version is built on Cloud Run under the hood, this is really blurring the   lines between the serverless compute options. So we still have the same pay-for-use compute   as the first version of Cloud Functions but now we can also allow for simultaneous processing of   multiple requests or events just like Cloud Run. Of course make sure that your code can  

handle concurrent requests before you turn this on but this could save you a bunch of   money if your event handling isn't always pegging the CPU. Also this second generation   lets you run your functions for longer on beefier instances pin instances to reduce cold starts and   split traffic between multiple versions.  These new Cloud Functions, they're great! [That was] so bad. Now it's no secret that all websites had better be using https these days. I mean not only   will normal http connections be marked as not secure in the Chrome address bar but insecure   sites also get buried pages deep in Google searches. So i'm very glad that Google now has   a new serverless Certificate Manager product in public preview to make it super easy for anyone   to get and use tls certificates on the external https load balancers that front their GCP-based  workloads. You can use a hundred certificates for free each month and it's pay per cert after  

that. And because these get managed by Google's infrastructure your clients can super quickly   negotiate secure connections with Google's edge nodes. Super low latency. Oh and this does also   support wildcard certificates. Pretty wild eh? Okay i know that joke was terrible, I'm sorry.  Another new product is Cloud Deploy now generally available as Google notes in   their announcement. The operational cost of Kubernetes continuous delivery can be very   high. Well Cloud Deploy aims to take some of that pain away from you with this managed and  

opinionated continuous delivery service for GKE. Now if you are using GKE then you might well find   this to be worth the extra 15 bucks per monthly delivery pipeline beyond the first free one. Cloud Deploy is built on scaffold and includes both easy integrations to GCP management and also   many built-in best practices. Alright, finally in this segment I want to let you know about   some upcoming events coming up. On April 6th is the Data Cloud Summit this will be an online event all   about AI, machine learning, analytics, databases, and more. And even better we now have a date for Google  

Cloud Next '22! Alright! Cloud Next is Google's annual conference packed with all the most   exciting GCP announcements so make sure to block off October 11th through the 13th. And if you're   hoping against hope like I am that this might wind up being an in-person event this year then   be sure to also reserve some extra time for travel to and from San Francisco. I hope to see you there! All right now let's dig into this month's gem of an announcement - actually it's kind of a bunch of   related goodness. To start off with the Google Developer relations team has been hard at work   and they have made a massive update to the Google Cloud Developer cheat sheet.  Now i'm sure you're already familiar with this amazing tool if you've taken some of my courses   on google cloud but if you haven't then that's all right, you're one of today's lucky 10,000 or so,  because this thing is awesome. This is also known as Google Cloud Products in Four Words or  

Less. Yeah and this is a part of its beauty. Four judiciously chosen words to give you   a good feel for what any particular GCP product does. Every product is included, it's comprehensive.   The printable poster version is still my favorite, but a key benefit of the new interactive version   is that every product card links you straight to the documentation so that you can dig into that   thing with a few more than just the four words. And the list view selectable at the top has the same   comfortable at-a-glance feel of the poster and not only have we gotten a massive update to this   immensely valuable tool, it looks like we're going to be getting a lot faster updates in the future   too. Priyanka Vergadia regularly puts out great content about Google Cloud and since she has now   taken over maintenance of this tool, its future is looking very bright. But wait there's more, 

they've also just released a new diagramming tool for GCP architectures. And by itself this   might not seem so exciting but the coolness is in the integrations. First, the components for   your diagram are connected with the cheat sheet to help both with the picking and understanding   them. Next you can bootstrap your diagrams from a library of reference architectures, but not only   that, some of these architecture examples are set up so you can very easily deploy them into your   project to play around with them. Pretty nice eh? Well this month's announcements really were a big   deal but i'd be remiss if i didn't also tell you about the big deal we're currently running at A   Cloud Guru to help you learn cloud more deeply and efficiently. We're still offering our always  

free and no credit card required plan as well but we're making our free trial even sweeter   by significantly dropping the price of the annual membership if you sign up before March 7th. I'd tell   you how much you can save but then i just make people jealous if they watch this video after   the deadline so check it out for yourself. But in any case I hope that you can have a really awesome   upcoming month. Stay safe take care of those around you and keep being awesome Cloud Gurus.   Milan, darling, milan. Milan,  darling, milan. Milan, darling, milan.

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