Google’s Latest ‘Carbon Footprint’ can Flag Users about Carbon Emission Levels from their Cloud Usage
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Google Cloud is proud to support our customers with the cleanest cloud in the industry. For the past four years, we’ve matched 100% of our electricity use with renewable energy purchases, and we were the first company of our size to commit going even further by running on carbon-free energy 24/7 by 2030. As we work to achieve 24/7 carbon-free energy, we help you take immediate action to decarbonize your digital applications and infrastructure. We’re also working with our customers across every industry to develop new solutions for the unique climate change challenges that organizations face. Today, we’re excited to expand our portfolio of carbon-free solutions and announce new partnerships that will help every company build a more sustainable future.
First, we’re launching Carbon Footprint, a new product that provides customers with the gross carbon emissions associated with their Google Cloud Platform usage. Now available to every GCP user for free in the Cloud Console, this tool helps you measure, track and report on the gross carbon emissions associated with the electricity of your cloud usage. Of course, the net operational emissions associated with your Google Cloud usage is still zero. With growing requirements for Environmental Social and Governance (ESG) reporting, companies are looking for ways to show their employees, boards and customers their progress against climate targets. Using Carbon Footprint, you have access to the gross energy related emissions data you need for internal carbon inventories and external carbon disclosures, with one click.
Built in collaboration with customers like Atos, Etsy, HSBC, L’Oréal, Salesforce, Thoughtworks and Twitter, our Carbon Footprint reporting introduces a new standard of transparency to support you in meeting your climate goals. You can monitor your gross cloud emissions over time, by project, by product and by region, giving IT teams and developers metrics that can help them reduce their carbon footprint. Our detailed calculation methodology is published so that auditors and reporting teams can verify that their cloud emissions data meets GHG Protocol guidance.
“The power of knowledge combined with the power of technology innovation plays a vital role in proactively responding to the climate crisis we are facing. With Google Carbon Footprint reporting, Atos feeds emissions data in our Decarbonization Data Platform, demonstrating potential emissions reductions from the Google Cloud Platform to our customers. This reporting opens up new levels of emissions transparency, trajectory planning, and data insight to support our customers in meeting, and potentially accelerating towards, their climate goals.”—Nourdine Bihmane, Head of Decarbonization Business Line, Atos
“The capability to measure and understand the environmental footprint of our Public Cloud usage is among the key axis of our sustainable tech roadmap. With Google Cloud Carbon Footprint, we are now able to directly follow the impact of our sustainable infrastructure approach and architecture principles.”—Hervé DUMAS, Sustainability IT Director, L’Oreal
While digital infrastructure emissions are just one part of your environmental footprint, accurately accounting for IT carbon emissions is necessary to measure progress against the carbon reduction targets required to avert the worst consequences of climate change. To help you account for emissions beyond our cloud and across your organization, we’re excited to partner with Salesforce Sustainability Cloud, integrating our Google Cloud Platform emissions data into their carbon accounting platform.
“As we face unprecedented climate challenges, companies across the globe need to embed sustainability into the core of their business in order to meet growing customer and stakeholder expectations, and reduce their environmental impact. Together, Google Cloud and Salesforce Sustainability Cloud can help our joint customers accelerate their path to Net Zero, leveraging data-driven insights and visualizations to track and reduce their carbon emissions to drive sustainable change.”—Ari Alexander, GM of Salesforce Sustainability Cloud.
From information to action
With the gross energy-related emissions footprint of data associated with your Google Cloud usage now available, we’re committed to providing tools to not only measure your carbon footprint, but help you reduce it. We recently launched low-carbon region icons to help you choose cleaner regions to locate your Google Cloud resources. New users who see the icons are over 50% more likely to choose clean regions over others, ensuring their applications emit less carbon over time.
For current Google Cloud users, we’re pleased to announce that Active Assist Recommender will include a new sustainability impact category, extending its original core pillars of cost, performance, security, and manageability. Starting with the Unattended Project Recommender, you’ll soon be able to estimate the gross carbon emissions you’ll save by removing your idle resources. Unattended Project Recommender uses machine learning to identify, with a high degree of confidence, projects that are likely abandoned based on API and networking activity, billing, usage of cloud services, and other signals, and provides actionable recommendations on how to remediate those abandoned projects. By deleting these projects, not only can you reduce costs and mitigate security risks, but you can also reduce your carbon emissions. In August, Active Assist analyzed the aggregate data from all customers across our platform, and over 600,000 gross kgCo2e was associated with projects that it recommended for cleanup or reclamation. If customers deleted these projects they would significantly reduce future gross carbon emissions. Check out this blog to learn more about Active Assist.
Solutions for climate resilience
Many of our customers face difficult questions about how their business impacts the natural environment today, and how it will be affected by climate change in the future. Answering these questions requires rich datasets about the planet, better analytics tools and smarter models to predict potential outcomes. For over a decade Google Earth Engine has supported scientists and developers with hyperscale computing power and the world’s largest catalog of satellite image data. Today, we are delighted to announce the preview of Earth Engine as part of Google Cloud Platform. Now, you can access Earth Engine and combine it with other geospatial-enabled products like BigQuery. By extending Earth Engine’s powerful platform to enterprises through Google Cloud, we are bringing the best of Google together.
Over the past year we’ve worked with a number of organizations to use Earth Engine technology with tools like BigQuery and the Cloud AI Platform to develop new solutions for responsible commodity sourcing, sustainable land management and carbon emissions reduction. Earth Engine enables companies to track, monitor and predict changes in the Earth’s surface due to extreme weather events or human-caused activities, thus helping them save on operational costs, mitigate and better manage risks, and become more resilient to climate change threats. This new offering will wrap the unique data, insights and functionality of Earth Engine with a fully-managed, enterprise-grade experience and reliability.
As we work with our customers to accelerate their sustainability initiatives, earth observation data is proving critical to effectively plan for the long-term impacts of climate change. To extend our geospatial and sustainability use cases we’re also expanding our partnerships with CARTO, Climate Engine, Geotab, NGIS, and Planet to bring their data and core applications to Google Cloud.
These partners will each make their existing platforms and datasets available globally on Google Cloud, giving you low-latency and reliable access to critical data and applications that will inform your sustainability initiatives. By integrating water availability, agricultural data, weather risks, and extensive daily satellite imagery into Earth Engine and BigQuery, you can achieve more ambitious goals for the sustainability of your business and our planet.
Committing to help you meet your climate goals
With each of these tools, we’re working to reduce the barriers you face in adopting more sustainable technology practices. We understand that building more sustainable applications and infrastructure is not easy. You face competing priorities, technical challenges, and the perception that climate action is costly.
It doesn’t have to be this way. Today, we are making a sustainability pledge to you: teams across Google Cloud are committing to eliminating the barriers you face in building a more sustainable digital future for your organization, and will help you take action today to realize your climate goals. We’ll do this in a number of ways:
- In digital transformation projects and workshops, sustainability teams will always have a seat at the planning table, so we can work together on using cloud technology to build a more sustainable future.
- We’re putting low-carbon signals natively into our products to help developers choose more sustainable options early in their application development.
- We’ll ensure carbon impact is measured consistently with other key performance indicators. Leveraging the social cost of carbon, the ROI models and value assessments you conduct with Google Cloud will project your emissions impact too.
- We’ll be transparent about our carbon impact, by publishing third-party reviewed reports and methodologies, so you can trust the data for your own reports and disclosures.
- We’ll continue to work with the industry on best practices, including educational resources like Sustainable IT – Decoded, a new masterclass created in partnership with Intel, that shares the expertise of sustainability thought leaders.
For the next decade we need to work together to avert the worst consequences of climate change. We’ve made tremendous progress in building technology that helps everyone do more for the planet, and we’re excited to see what you do with it. Visit this page to learn more about Google Cloud’s sustainability efforts.
Why Moving SAP Workloads to Google Cloud is Beneficial for the Consumer Goods Industry
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Even before the COVID-19 pandemic struck, the consumer packaged goods (CPG) industry was facing disruption. Consumers have come to expect personalized and seamless experiences at every point in their relationship with a brand. Additionally, consumers are expecting CPG brands to meet rising standards for sustainability, social responsibility, and transparency. Business models are shifting as well. Direct-to-consumer and subscription models have been gaining ground on traditional business models. Add in the CPG industry’s ever-present pressure for wider profit margins and the effects of the global pandemic, and you get a perfect storm of disruption.
Leading CPG companies are responding to these changes by capitalizing on the potential of emerging technologies and leveraging the power of the cloud to create digital enterprises. In doing so, they can unlock value through reduced operational costs, faster innovation, improved marketing ROI, and greater transparency and sustainability—among other benefits. For businesses that run on SAP, accessing these benefits requires creating a digital enterprise with SAP at its heart.
What CPG can expect from SAP on Google Cloud
SAP drives core business processes across most enterprise functions in CPG companies, and modernizing these operations is step one in unlocking next-level data and analytics capabilities. Creating a digital enterprise with SAP at the core requires establishing a digital foundation on a cloud platform capable of supporting and optimizing SAP workloads well into the future. From there, CPG companies can leverage the combination of SAP data and additional data signals to support high-value use cases utilizing the advanced analytics capabilities of the cloud
For CPG companies, running a successful digital enterprise in this climate depends on the power of the cloud because of the unmatched agility, security, scale, and flexibility offered by cloud technologies. More and more, consumer brands are turning to Google Cloud to host their applications—including core enterprise applications such as SAP—to drive business agility and maximize the value of data through smart analytics and machine learning. Google Cloud establishes a digital foundation for SAP customers by simplifying SAP deployments and offering a suite of applications that integrates with and enhances SAP functionality. A Forrester study on the total economic value of Google Cloud for SAP customers found an average payback of less than six months and a total ROI of over 160%. By turning to Google Cloud to run their SAP systems, companies are able to:
- Maximize insights
CPG enterprise data is often fragmented across disparate systems. Google’s analytics tools including BigQuery and Looker allow businesses to connect customer, operational and business data at scale by unifying data from SAP systems with other Google data signals such as Ads, Maps, Shopping or Google Marketing Platform. This precious data is fully democratized, allowing for complex queries to be completed rapidly so companies can uncover and analyze insights and create an end-to-end view of the consumer and the business. - Create an intelligent organization
Google’s AI and machine learning capabilities allow businesses to create built-in intelligence. Instead of reacting to trends, they can accurately predict them. For marketing teams, this could be the ability to evaluate promotions and effectiveness of marketing spend. For forecasting, product quantities and restock timing can be better planned. Supply chain optimization can include external data sources to closely monitor inventory and eliminate stock outs. - Future-proof your business
Running SAP systems on Google Cloud creates an agile, secure and highly available environment that scales quickly as a business grows and as the CPG market evolves. A recent study conducted by IDC showed that SAP on Google Cloud deployments resulted in a 46% lower three-year cost of operations with 83% less frequent unplanned downtime and 56% more efficient IT teams. This frees IT resources to drive innovation and customer centricity. - Deliver on sustainability
Around the globe, consumers are becoming more and more demanding regarding sustainability. The impact of climate change and the abundance of plastic waste is only fueling this trend. Consumers are leaning into social signalling, and CPG companies are taking note. Sustainable IT is step #1, significantly advanced by moving applications to Google Cloud, the cleanest cloud in the industry. We’ve neutralized all of our carbon emissions since our founding in 1998 and matched 100% of our electricity consumption with renewable energy purchases since 2017. Google Cloud allows SAP enterprises to further drive sustainability compliance and business objectives with AI and ML tools that can drive down waste and provide real-time decision making power to support proactive green initiatives.
Rémy Cointreau is in high spirits after deploying SAP in the Google Cloud
Rémy Cointreau, a family-owned international maker of fine spirits, has products that can take up to one-hundred years to produce. But this long production cycle presents some unique challenges in today’s hyper-competitive premium beverage brands market. Since 1724, the company has been consumed with putting its customers first. In 2020, the company realized it was failing to capitalize on the benefits that the cloud can provide and began searching for a business partner that could help with this transformation.
Rémy Cointreau made the move to Google Cloud for many reasons. First, the company could connect its SAP backbone to key SaaS applications like Salesforce. This enabled the creation of a 360-view of data among its ecommerce platform, SAP, and Salesforce to deliver sophisticated customer experiences that reflect the heart of the brand. The Rémy Cointreau team quickly realized they now had the ability to be more agile in their finance, manufacturing, and supply chain functions with easy access to valuable SAP system data that drives decision-making. Sebastien Huet, the company’s CTO, explains: “Now that we’re fully deployed on Google Cloud Platform, anything is possible. We can pull data in from multiple sources via integration and analyze it in a matter of days. We don’t need a three-month project to see value.”
In today’s on-demand, omnichannel world, it’s not enough for CPG brands to understand their consumers. For companies like Rémy Cointreau, it is mission-critical that they anticipate consumer preferences and deliver personalized experiences. The winners will be the companies that can reduce time to insights by treating all their data as strategic assets, breaking down data silos to enable real-time business intelligence. With SAP on Google Cloud, CPGs are transforming consumer relationships and business outcomes.
Are you ready to change how your CPG brand operates? Check out this video and read the Google Cloud for SAP CPG customer white paper and ebook. Learn more about how your peers are leveraging SAP on Google Cloud to evolve their businesses.
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Why Enterprises Should Choose Google Cloud for their SAP Workloads
Change is a constant for SAP customers. Now more than ever, SAP customers need solutions that provide them business agility, rock solid availability and security and true economic value.
Learn how Google Cloud can guide your SAP journey to the cloud with simple and no cost migrations, powerful infrastructure and innovation technologies that you can take advantage of today.
Hear from SAP customers who have deployed on Google Cloud and the game changing results they are realizing.
Enable Specialized Workloads with Bare Metal Solution from Google Cloud
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Enterprises want to embrace the pace of innovation and an operational business model of the modern-day cloud, but they don’t want to disrupt their existing IT landscape or upgrade all their legacy applications. This presents a conundrum, as most legacy applications were not designed to run in the cloud, and migrating them can be challenging, risky and cost-prohibitive.
The complexity, cost and risk of cloud migration often stand in the way of a successful digital transformation. At Google Cloud, we work to meet you where you are and help you craft a migration strategy that lets you run what you want, where you want, how you want. This is why we’re excited to introduce Bare Metal Solution: to jumpstart the migration of applications that have been holding back your cloud adoption.
Bare Metal Solution consists of all the infrastructure you need to run your specialized workload such as Oracle Database close to Google Cloud. This infrastructure is connected with a dedicated, low-latency and highly resilient interconnect, and connects to all native Google Cloud services. Bare Metal Solution uses OEM hardware that is certified to run multiple enterprise applications, most of which can be migrated to this infrastructure with little or no change, minimizing the risk of migration while simultaneously increasing its velocity.
Bare Metal Solution also comes with automation tools to help you onboard your environment quickly—provisioning your applications, relational databases, configuring popular operating systems and setting up services such as backups and monitoring. The management interface will be familiar to your existing IT teams or systems integrator, allowing you to leverage your investments in existing tools, processes and personnel.
In addition to providing state-of-the-art infrastructure and integrated low-latency access to Google Cloud, Bare Metal Solution also provides the following:
- Completely managed hardware infrastructure: End-to-end infrastructure management such as compute, storage and networking, as well as fully managed and monitored environments such as power, cooling and facilities.
- Google Cloud support and billing: A seamless support experience with support for infrastructure, including defined SLAs for initial response. 24X7 coverage for all Priority 1 and 2 issues. Unified billing across Google Cloud and Bare Metal Solution.
- Service Level Agreements: Defined enterprise-grade SLA for hardware uptime and interconnect availability.
As an integral part of Google Cloud, Bare Metal Solution lets you off-load provisioning, managing and monitoring of your infrastructure to Google, so you can focus on your own data center modernization.
The nitty gritty
Many of the workloads that run on Bare Metal Solution have demanding CPU and I/O requirements. Bare Metal Solution provides a cost-effective and scalable architecture based on state-of-the-art x86 servers and high-performance, resilient storage. The servers are offered in several fixed configurations that support most mainstream enterprise operating systems:
- Dual-socket x86 systems
- 16 core with 384 GB DRAM
- 24 core with 768 GB DRAM
- 56 core with 1536 GB DRAM
- Quad-socket x86 systems
- 56 core with 1536 GB DRAM
- 112 core with 3072 GB DRAM
Bare Metal Solution servers can be used for standalone applications, or configured with application native or database native clustering technologies for high availability. Storage is offered in 1TB volume increments of either hybrid or all-flash disk. For applications that require custom compute shapes or special-purpose hardware, we also offer bespoke hardware configurations.
Bare Metal Solution uses OEM hardware that is certified for many ISV software applications as well as custom built applications, including those built on Oracle Database. These hardware configurations are offered as a subscription, billed monthly with a preferred term length of 36 months. There are no data ingress and egress charges between Bare Metal Solution and Google Cloud in the same region; customers are responsible for provisioning adequate bandwidth for their business needs.
Legacy apps are no barrier to cloud
Google Cloud is the preferred destination for organizations building cloud-native applications as well as migrating existing on-premises applications, bringing reliable infrastructure, leading data analytics capabilities, and a culture of innovation to your IT environment. Whether you’re looking to build new applications in the cloud or to overhaul your infrastructure, we’re here to help you reach your digital transformation goals. And now, with Bare Metal Solution, we’re excited to extend the power of Google Cloud to specialized, legacy workloads. To learn more please visit our website.
Consumption Packs Shorten’s Customers Transition to Google Cloud and Boosts Partners’ Financial Growth
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When we launched Partner Advantage, we committed to making it predictable and easy for partners to drive business with us. Since launch, those commitments have been validated by channel experts like CRN, which gave Partner Advantage a 5-Star award for 2022, and by the fact that our partners have seen impressive growth* across virtually every facet of their business.
I am pleased to announce that our commitments endure today with the launch of Consumption Packs for Deal Acceleration Funds and Partner Services Funds (DAF and PSF for partners). Inspired by partner feedback, these new packages are designed to accelerate all stages of a customer’s journey to the cloud, and make it even easier and faster for partners to do business with us.
Consumption Packs are purpose-built so that partners can plan and initiate customer projects much more quickly, with predictable funding. They include assets and templates that allow partners to deliver Google Cloud designed and validated infrastructure, application migration and modernization plans to customers faster than ever–particularly for customers beginning their journey to the cloud. Based on learnings gathered from thousands of customer deployments, these turnkey packs have been designed by our partners and Google Cloud Partner Engineering and Professional Services’ teams.
Here’s a brief look at Consumption Packs in action:
- Consumption Packs offer pre-approved, curated templates and assets to simplify and shorten the process for most common projects.
- For Deal Acceleration Funds (DAF), packages include everything partners need to conduct assessments, workshops and proofs-of-concept so they can quickly meet customers where they are on their journey to the cloud.
- For Partner Services Funds (PSF), packages are structured so that partners can develop cloud ready foundation and migration plans that align with Google Cloud priority solution areas.
- Packages have pre-determined funding levels to enable faster deployments.
Partners still have the option to engage with Google Cloud Partner Advantage and their customers through customized requests, as they always have. This is ideally suited for projects that require a tailored approach to meet unique customer requirements.
We are launching nine consumption packs today focused on key enterprise workloads, with a vision toward introducing additional packages to cover more solutions. Partners can explore Consumption Packs now by visiting the Partner Advantage portal.
We welcome your continued feedback and suggestions, and look forward to helping our customers achieve new levels of growth and success, together.
See you in the cloud.
- The Google Cloud Business Opportunity For Partners, a commissioned Total Economic Impact™ study conducted by Forrester Consulting, October 2021
What You Need to Know About Compute Engines
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Compute Engine is a customizable compute service that lets you create and run virtual machines on Google’s infrastructure. You can create a Virtual Machine (VM) that fits your needs. Predefined machine types are pre-built and ready-to-go configurations of VMs with specific amounts of vCPU and memory to start running apps quickly. With Custom Machine Types, you can create virtual machines with the optimal amount of CPU and memory for your workloads. This allows you to tailor your infrastructure to your workload. If requirements change, using the stop/start feature you can move your workload to a smaller or larger Custom Machine Type instance, or to a predefined configuration.
Machine types
In Compute Engine, machine types are grouped and curated by families for different workloads. You can choose from general-purpose, memory-optimized, compute-optimized and accelerator-optimized families.
- General-purpose machines are used for Day-to-day computing at a lower cost and for balanced price/performance across a wide range of VM shapes. The use cases that best fit here are web serving, app serving, back office applications, databases, cache, media-streaming, microservices, virtual desktops, development environments.
- Memory-Optimized machine are recommended for ultra high-memory workloads such as in-memory analytics and large in-memory databases such as SAP HANA
- Compute-Optimized machines are recommended for ultra high performance workloads such as High Performance Computing (HPC), Electronic Design Automation (EDA), gaming, video transcoding, single-threaded applications.
- Accelerator-Optimized machines are optimized for high performance computing workloads such as Machine learning (ML), Massive parallelized computations and High Performance Computing (HPC)
How does it work?
You can create a VM instance using a boot disk image, a boot disk snapshot, or a container image. The image can be a public operating system (OS) image or a custom one. Depending on where your users are you can define the zone you want the virtual machine to be created in. By default all traffic from the internet is blocked by the firewall and you can enable the HTTP(s) traffic if needed.
Use snapshot schedules (hourly, daily, or weekly) as a best practice to back up your Compute Engine workloads. Compute Engine offers live migration by default to keep your virtual machine instances running even when software or hardware update occurs. Your running instances are migrated to another host in the same zone instead of requiring your VMs to be rebooted.
Availability
For High Availability (HA) Compute Engine offers automatic failover to other regions or zones in event of a failure. Managed instance groups (MIGs) help keep the instances running by automatically replicating instances from a predefined image. They also provide application based autohealing health checks. If an application is not responding on a VM, the auto healer automatically recreates that VM for you. Regional MIGs let you spread app load across multiple zones. This replication protects against zonal failures. MIGs work with load balancing services to distribute traffic across all of the instances in the group.
Compute Engine offers autoscaling to automatically add or remove VM instances from a managed instance group based on increases or decreases in load. Autoscaling lets your apps gracefully handle increases in traffic, and it reduces cost when the need for resources is lower. You define the autoscaling policy for automatic scaling based on the measured load, CPU utilization, requests per second or other metrics.
Active Assist’s new feature, predictive autoscaling, helps improve response times for your applications–When you enable predictive autoscaling, Compute Engine forecasts future load based on your Managed Instance Group’s (MIG) history and scales it out in advance of predicted load, so that new instances are ready to serve when the load arrives. Without predictive autoscaling, an autoscaler can only scale a group reactively, based on observed changes in load in real time. With predictive autoscaling enabled, the autoscaler works with real-time data as well as with historical data to cover both the current and forecasted load. That makes predictive autoscaling ideal for those apps with long initialization times and whose workloads vary predictably with daily or weekly cycles. For more information, see How predictive autoscaling works or check if predictive autoscaling is suitable for your workload, and to learn more about other intelligent features, check out Active Assist.
Pricing
You pay for what you use. But you can save cost by taking advantage of some discounts! Sustained use saving are automatic discounts applied for running instances for a significant portion of the month. If you know your usage upfront, you can take advantage of committed use discounts which can lead up to significant savings without any upfront cost. And by using short lived preemptive instances you can save up to 80%, they are great for batch jobs and fault tolerant workloads. You can also optimize resource utilization with automatic recommendations. For example if you are using a bigger instance for a workload that can run on a smaller instance you can save costs applying these recommendations.
Security
Compute Engine provides you default hardware security. Using Identity and Access Management (IAM) you just have to ensure that proper permissions are given to control access to your VM resources. All the other basic security principles apply, if the resources are not related and don’t require network communication amongst themselves, consider hosting them on different VPC networks. By default, users in a project can create persistent disks or copy images using any of the public images or any images that project members can access through IAM roles. You may want to restrict your project members so that they can create boot disks only from images that contain approved software that meet your policy or security requirements. You can define an organization policy that only allows Compute Engine VMs to be created from approved images. This can be done by using the Trusted Images Policy to enforce images that can be used in your organization.
By default all VM families are Shielded VMs. Shielded VMs are virtual machine instances that are hardened with a set of easily configurable security features to ensure that when your VM boots, it’s running a verified bootloader and kernel — is the default for everyone using Compute Engine, at no additional charge. For more details on Shielded VMs refer to the documentation here.
For additional security, you also have the option to use Confidential VM to encrypt your data in use, while it’s being processed in Compute Engine. For more details on Confidential VM refer to the documentation here.
Use cases
There are many use cases Compute Engine can serve in addition to running websites and databases. You can also migrate your existing systems onto Google Cloud, with Migrate for Compute Engine, enabling you to run stateful workloads in the cloud within minutes rather than days or weeks. Windows, Oracle or VMware applications have solution sets enabling a smooth transition to Google Cloud. To run windows applications either bring your own license leveraging Sole-tenant nodes or using the included licenced images.
Conclusion
Whatever your application use case may be, from legacy enterprise applications to digital native applications, Compute Engine’s families will fit it. For a more in-depth look into Compute Engine check out the documentation.
For more #GCPSketchnote, follow the GitHub repo. For similar cloud content follow me on Twitter @pvergadia and keep an eye out on thecloudgirl.dev
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