Compute Engine Archives - aster.cloud

8 min

You Get What You Pay For: Principles For Designing A Chargeback Process

Principles for designing a chargeback process As large organizations increase their cloud footprint, it becomes critical to ensure costs are being managed effectively. A good understanding of the cost of running each workload, and the value that workload brings to your business, allows organizations to have confidence in the efficiency of their cloud consumption — which is why we see many customers who are successful in driving financial accountability and cost efficiency embrace the Cloud FinOps framework. One crucial capability of Cloud FinOps is chargeback, which is the process of mapping cloud consumption to internal consumers within your organization and…

5 min

Google’s Virtual Desktop Of The Future

Did you know that most Google employees rely on virtual desktops to get their work done? This represents a paradigm shift in client computing at Google, and was especially critical during the pandemic and the remote work revolution. We’re excited to continue enabling our employees to be productive, anywhere! This post covers the history of virtual desktops and details the numerous benefits Google has seen from their implementation. Background In 2018, Google began the development of virtual desktops in the cloud. A whitepaper was published detailing how virtual desktops were created with Google Cloud, running on Google Compute Engine, as…

3 min

Computing

How To Create A Windows Server VM Instance In Compute Engine

If you want to create a Windows Server Virtual Machine (VM) in Compute Engine, it’s as quick and easy as clicking a few buttons!In this blog post, we’ll learn how to create a Windows Server VM in Compute Engine. If you want to follow along with this blog post, check out the documentation and in-console tutorial. Step 1 The first step is to create a new project; we will use an existing project called “test-ctd”. If you are unable to use an existing project, you will need to create a new project. Next we’ll enable the Compute Engine API which…

3 min

How To Create A Linux VM Instance In Compute Engine

There is a new way to supercharge your learning of Google Cloud! Next time you are interested in learning Google Cloud skills or features, check out embedded interactive tutorials. Interactive tutorials are step by step tutorials that help you learn about Google Cloud. They are embedded directly into the Google Cloud console, so there is no context switching. These tutorials integrate with Cloud Shell and Cloud Code to provide a preconfigured development environment to allow you to learn quickly.In this blog post we’ll walk through how to Create a Linux VM instance In Compute Engine interactive tutorial together. You can…

5 min

Workflows Patterns And Best Practices – Part 2

This is part 2 of a three-part series of posts, in which we summarize Workflows and service orchestration patterns. You can apply these patterns to better take advantage of Workflows and service orchestration on Google Cloud.In the first post, we introduced some general tips and tricks, as well as patterns for event-driven orchestrations, parallel steps, and connectors. This second post covers more advanced patterns. Let’s dive in! Design for resiliency with retries and the saga pattern It’s easy to put together a workflow that chains a series of services, especially if you assume that those services will never fail. This…

4 min

Flexible Committed Use Discounts — A Simple New Way To Discount Compute Engine Instances

Saving money never goes out of style. Today, many of our customers use Compute Engine resource-based committed use discounts (CUDs) to help them save on steady-state compute usage within a specific machine family and region. As part of our commitment to offer more flexible and easy ways for you to manage your spend, we now offer a new type of committed use discount for Compute Engine: flexible CUDs. Flexible CUDs are spend-based commitments that offer predictable and simple flat-rate discounts (28% off 1-year, and 46% off 3-years) that apply across multiple VM families and regions. Similar to resource-based CUDs, you…

4 min

The Next Wave Of Google Cloud Infrastructure Innovation: New C3 VM And Hyperdisk

Meeting the rapidly growing demands of our customers’ high performance computing and data-intensive workloads requires deep innovation — at Google Cloud, we know we can’t rely on ever-faster CPUs alone, like Moore’s Law has enabled in the past. Customers can either optimize their workloads for a given platform, or we can offer them a platform that is optimized for their specific needs. At Google Cloud, we choose the latter.Today, we have an exciting new release resulting from these efforts: the new C3 machine series powered by the 4th Gen Intel Xeon Scalable processor and Google’s custom Intel Infrastructure Processing Unit…

5 min

Computing

Expanding The Tau VM Family With Arm-Based Processors

Organizations that are developing ever larger, scale-out applications will leave no stone unturned in their search for a compute platform that meets their needs. For some, that means looking to the Arm® architecture. Known for delivering excellent performance per watt efficiency, Arm-based chips are already ubiquitous in mobile devices, and have proven themselves for supercomputing workloads. At Google Cloud, we’re also excited about using Arm chips for the next generation of scale-out, cloud-native workloads. Last year, we added Tau VMs to Compute Engine, offering a new family of VMs optimized for cost-effective performance for scale-out workloads. Today we are thrilled to…

4 min

How To Migrate A Group Of Individual Instances To A Stateful MIG Using Python Script

A GCP Compute Engine managed instance group (MIG) supports any VM configuration that you need, and it helps manage the VMs for you. For example, when a VM in a MIG unexpectedly stops running, the MIG recreates that VM according to the configuration that you set. You can also set up an application-based health check to verify that your application responds as expected on each VM. In addition to that, MIGs also allows you to deploy complex stateful applications, such as databases (Cassandra, ElasticSearch) or data processing applications (Kafka, Flink), where preservation of individual VM state (for example, a database…

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