Richard Seroter Profile picture
Oct 10 5 tweets 7 min read
You're not going to watch every talk at #GoogleCloudNext. I know it. You know it. Not a big deal, I won't either.

But there are a handful you might want to bookmark to learn what's new, or what the other clouds will be talking about in a year or two. A 🧵 of your best bets ... Image
– Thought leadership –
10 Cloud predictions cloud.withgoogle.com/next/catalog?s…
What’s next for data engineers cloud.withgoogle.com/next/catalog?s…
Batch and HPC on GKE cloud.withgoogle.com/next/catalog?s…
Multicloud at scale cloud.withgoogle.com/next/catalog?s…
Supply chain security cloud.withgoogle.com/next/catalog?s…

See you there!

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More from @rseroter

Oct 11
It's been fun to watch @googlecloud Anthos find it's fit both for customers primarily in Google Cloud, and also those earlier in their journey.

So what's new with this Kubernetes + management plane product that makes it a good choice for anyone running containers? Quick 🧵 ...
First, I like seeing a new dashboard experience! This the view is at the "fleet" level. Regardless of where your clusters are—Google Cloud, other clouds, on-prem, edge—you get an all-up view of health and policy compliance. Awesome. Image
We've also added an Anthos UX (and an easier Terraform experience) for your on-premises clusters. Provision on-prem clusters from the cloud! ImageImage
Read 6 tweets
Oct 11
Ok, the #googlecloudnext announcements are coming out, and let's explore one in particular.

Cloud Workstations are in public preview! This isn't your parent's virtual desktop. It's a fast, flexible dev environment with security in mind. Let's explore together in a 🧵 ...
Browser-based IDEs are a thing now. It's how Googlers do a lot of their engineering work. It's ready for primetime.

To start with @googlecloud Cloud Workstations, you create a cluster. It manages lifecycle and networking things. I can put these around the world, close to devs. Image
Once I have a cluster, I create a Workstation configuration. You can imagine your Platform team or Ops team setting up some default configurations. Image
Read 10 tweets
Sep 14
One of the fastest ways to deploy an app? Push to @googlecloud Run by running this command against your source code: "gcloud run deploy ."

But do that for prod deployments? Unlikely. We just added Cloud Run support to Cloud Deploy, and I wanted to try it out. A 🧵 …
For reference, Cloud Deploy is our continuous deployment service that supports staged rollouts to GKE, and now Cloud Run (in preview). It relies on declarative configurations to define deployment pipelines and targets.

cloud.google.com/deploy
Let’s get started. I stood up a silly-simple minimal .NET API (dotnet new webapi -minimal).

I replaced the generated code with a simple "hello world" example.
Read 13 tweets
May 17
Let’s make all this “secure software supply chain” stuff feel a little more real, shall we?

How do I ensure that *only* container images built by a particular build engine get deployed to production? We just made this super easy to do. Demo 🧵 time!
As a dev, I barely want to think about this stuff. Just make it easy to do the right thing! I’m going to show you how we made @googlecloud Cloud Build SLSA level 2 compliant (slsa.dev/spec/v0.1/requ…) by adding attestations automatically. You’ll see in a moment why that matters.
We start with the app, of course. This is a basic @golang app I wrote to serve up an API and web page to generate ice-breaker questions in team meetings.
Read 14 tweets
May 11
#GoogleAlloyDB. Let’s talk about why it’s a BIG deal for developers and DBAs, and why it might be the best way to do PostgreSQL in the cloud.

And how about a quick look at what the provisioning experience looks like? Quick 🧵 with a bunch of links at the end …

#GoogleIO
First, it's just PostgreSQL, but operationalized in a way that @googlecloud does so well. It's 100% compatible PostgreSQL 14.
Performance is silly great. 4x faster than standard PostgreSQL for traditional workloads, and 2x faster than AWS Aurora. And you can use it for analytical queries, where it's 100x faster than standard PostgreSQL.
Read 11 tweets
Jan 10
If you ONLY care about using the simplest Kubernetes in a given cloud, use the native managed option (GKE, EKS, AKS, etc).

If you're expanding outward from your anchor cloud, you care about more.

We just shipped a new multicloud Anthos. Here's a 🧵 of how it works. Buckle up.
As a refresher, Anthos is a platform for container-based apps. You get GKE, config mgmt, service mesh, fleet mgmt and more, everywhere. It's GA on @googlecloud, vSphere, bare metal (bring your own OS), AWS, and Azure.

We just made a big improvement to how multicloud works.
In the previous version of Anthos multicloud, you'd use a standalone CLI to provision a management cluster, which in turn, would provision any user clusters. It's a fine pattern, but extra work for you, and more stuff to manage.

We fixed that.
Read 13 tweets

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