Recapping Google Cloud VMware Engine’s Latest Milestones

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We’ve made several updates to Google Cloud VMware Engine in recent weeks—today’s post provides a recap of our latest milestones. Google Cloud VMware Engine delivers an enterprise-grade VMware stack running natively in Google Cloud. This cloud service is one of the fastest paths to the cloud for VMware workloads without making changes to existing applications or operating models across a variety of use-cases. These include rapid data center exit, application lift and shift, disaster recovery, virtual desktop infrastructure, or modernization at your own pace.
In fact, Mitel, a global provider of unified communications-as-a-service to 70 million business users across 100 countries, migrated 1,000 VMware instances to Google Cloud VMware Engine in less than 90 days and improved its monthly operational output four times.
In our last update, we focused on several innovative capabilities around networking, reach, and scale. Let us take a look at the highlights we released since our last installment.
Fast provisioning of a dedicated, intrinsically secure VMware private cloud
With Google Cloud VMware Engine, you can spin up a VMware private cloud in about 30 minutes. You can also scale your VMware-based infrastructure on-demand with dedicated hosts located in secure Google data centers. Let us look at what’s new:
Autoscale: The ability to elastically and programmatically manage infrastructure resources to align with business needs or what is called “right-sizing” is a core capability of an IaaS platform. With autoscale, Google Cloud VMware Engine users can leverage policy-driven automation to scale the nodes needed to meet the compute demands of the VMware infrastructure.
Autoscale:
- Addresses seasonal spikes in demand, gradual increases of utilization, or new projects being onboarded or expanded due to disaster recovery events.
- Analyzes the CPU, memory, and storage utilization to give you the controls to scale Google Cloud VMware Engine nodes up or down.
- Ensures that storage consumption does not exceed the recommended limits for maintaining the Google Cloud VMware Engine service-level agreement.
- Reduces overhead on IT teams by automating capacity monitoring and enabling sufficient availability of resources based on thresholds. Note that safeguards for maintaining minimum capacity and maximum capacity can be configured to ensure there are boundaries to the automation.
Learn how to set up Autoscale.

Mumbai region availability
Google Cloud VMware Engine is now available in the Mumbai region. This brings the availability of the service to 12 regions globally, enabling our multi-national and regional customers to leverage a VMware-compatible infrastructure-as-a-service platform on Google Cloud. For more details, please read the press release.

Enterprise-grade infrastructure
With 99.99% availability for a cluster in a single zone, fully dedicated 100 Gbps east-west networking with no oversubscription, and all nonvolatile memory express storage, Google Cloud VMware Engine provides the highest performance required for the most demanding workloads. Let us look at what’s new:
Preview – Google Cloud KMS integration: You already have the ability to bring your own keys to encrypt your vSAN datastores. With this new capability, organizations that want to eliminate the overhead of managing external key providers can leverage a Google managed key provider, using Cloud KMS. This brings increased flexibility in securing workloads and data by enabling vSAN encryption by default for newly instantiated VMware Private Clouds. This feature is currently in Preview.
HIPAA compliance: Since April, Google Cloud VMware Engine is Health Insurance Portability and Accountability Act (HIPAA) compliant. This opens the service up to healthcare organizations, that can now migrate and run their HIPAA-compliant VMware workloads in a fully compatible VMware Cloud Verified stack running natively in Google Cloud with Google Cloud VMware Engine, without changes or re-architecture to tools, processes, or applications. Read more in this blog.
NSX-T support for Active Directory: With NSX-T support for Active Directory, you can now leverage your on-premises Active Directory as one of the lightweight directory access protocol identity sources for user authentication into NSX-T manager. This extends the theme of being able to leverage your on-premises tools with Google Cloud VMware Engine. For more information, read the documentation on how to set up identity sources.
vSAN TRIM/UNMAP support: For space-efficiency, vSAN allows creating thin-provisioned disks that grow gradually as they are filled with data. However, files that are deleted within the guest operating system (OS) do not result in vSAN freeing up space allocated. To increase space efficiency, guest OS file systems have the ability to reclaim capacity that is no longer used, using TRIM/UNMAP commands. vSAN is fully aware of these commands that are sent from the guest OS and enables reclamation of previously allocated storage as free space. We have enabled TRIM/UNMAP for vSan by default in Google Cloud VMware Engine.
Simplicity in experience and operations
With Google Cloud VMware Engine, you only need to worry about your workloads—not patching, upgrading, and updating the solution layer, for fewer interoperability issues and infrastructure maintenance. IIn addition, we have pre-built service accounts to enable your third-party VMware-supported tools and solutions to work seamlessly in VMware Engine. Access to Google services privately over local connections is also natively supported, enabling enrichment of existing applications and modernization over time. Finally, this service brings the power of Google Cloud Virtual Private Cloud (VPC) design by natively providing multi-VPC, multi-region networking that’s unique. Let’s look at what’s new:
Dashboards for Day 2 operations: To speed up cloud transformation and enable efficiency, Google Cloud VMware Engine administrators can take advantage of Cloud Operations dashboards for the solution. In addition, administrators can create custom policies through cloud alerting and enable notifications via channels of their choice (SMS, email, Slack, and more). For more details on how to set up cloud monitoring, please refer to Setting up Cloud Monitoring.
For the latest updates, bookmark Google Cloud VMware Engine release notes.
Thanks to Manish Lohani, Product Management, Google Cloud; Nargis Sakhibova, Product Management, Google Cloud; and Wade Holmes, Solutions Management, Google Cloud; for their contributions to this blog post.

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Any organization that has made a significant investments in Paas or IaaS capabilities requires a FinOps (financial operations) strategy. It involves linking their cloud migration business cases with value metrics, creating detailed cost visibility dashboards and having an automated expense control to ensure value realization from the cloud transformation journey. To fast-track your FinOps journey on Google Cloud, experts offer a detailed intro on the FinOps concept, the five Cloud FinOps pillars and important metrics for business value realization in this whitepaper.
To keep up with the digital transformations and demands of an ever-evolving virtual workforce, Google Cloud has distilled insights from several organizations that began their cloud migration journey and the FinOps Foundation community. Download the ‘Maximize Business Value with Cloud FinOps’ document to build a solid foundation for your organization’s cloud FinOps.
30 Guides to Ease Your Cloud Migration Journey

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Getting started with your migration
One of the challenges with cloud migration is that you’re solving a puzzle with multiple pieces. In addition to a number of workloads you could migrate, you’re also solving for challenges you’re facing, the use cases driving you to migrate, and the benefits you’re looking to gain. Each organization’s puzzle will likely get solved in their own unique way, but thankfully there is plenty of guidance on how you can migrate common workloads in successful ways.
In addition to working directly with our Rapid Assessment and Migration Program (RAMP), we also offer a plethora of self-service guides to help you succeed! Some of these guides, which we’ll cover below, are designed to help you identify the best ways to migrate, which include meeting common organizational goals like minimizing time and risk during your migration, identifying the most enterprise-grade infrastructure for your workloads, picking a cloud that aligns with your organization’s sustainability goals, and more:
- Get started with this cloud migration guide and checklist
- Key considerations for building a migration factory to Google Cloud
- Understanding the cloud migration strategies at your disposal
- Understanding how to migrate key enterprise workloads to Google Cloud
Which workloads are you moving?
In addition to the guides above which help you through your end-to-end migration, it’s also important to understand the specific workloads you’ve got on-premises (or in other clouds). Each workload has their own unique nuances — what works for one might not work perfectly for another. This is where leveraging the expertise of our RAMP team is crucial, and why we have lots of migration guides for specific workloads and end-states. For each workload, we’re highlighting a few guides that we think could be most helpful, but you can also click each topic to learn more or find more guides.
- Modernization path for .NET applications on Google Cloud
- Managed Service for Microsoft Active Directory is GA
- Migrating Microsoft workloads to Google Cloud yields results
- Migrate, scale, and innovate at speed
- Boost Retail Intelligence and Agility in the Cloud
- Retire your tech debt: Move vSphere 5.5+ to Google Cloud VMware Engine
- Financial Services Spotlight: Elevating agility and security in the cloud
- Curious about Google Cloud Bare Metal Solution? Start here
- Getting Started with Google Cloud’s Bare Metal Solution
- Guide – Bring new life to your databases with an Oracle migration
- SAP on Google Cloud: Migration strategies
- Run your SAP workloads on Google Cloud Bare Metal Solution
- eBook – Google Cloud for SAP: The enterprise cloud for business agility, insights, and innovation
- How to transfer your data to Google Cloud
- An Overview of the Transfer Appliance
- Migration to Google Cloud: Transferring your large datasets
- Transferring data from Amazon S3 to Cloud Storage using VPC Service Controls and Storage Transfer Service
- Overview of Database Migration Service
- Database migration: Concepts and principles (Part 1)
- Database migration: Concepts and principles (Part 2)
- Database cloud migrations made easy for PostgreSQL, MySQL
- Migrating data warehouses to BigQuery: Introduction and overview
- Oracle to BigQuery migration
- Amazon Redshift to BigQuery migration guide
- IBM Netezza to BigQuery migration guide
- Teradata to BigQuery migration guide
Take the next step
When it comes to migration, we’re committed to meet every organization where they are. We fully understand the nuances and challenges of cloud migration, and at Google Cloud we have one singular goal: to help you realize true business value through your cloud migrations.
Visit our Migration Architecture Center to find even more guides to use during your migration, or if you’re looking to dive a little deeper into planning, sign up for a free discovery and assessment of your existing IT landscape.
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How Carrefour is Building the Future of Retail on Google Cloud
Multinational retailer Carrefour was facing the challenge of meeting increasing customer expectations and realized that it needed to innovate faster. That’s when the company decided to move its SAP workloads to Gooogle Cloud.
As a result, Carrefour transformed over 1,000 stores and redesigned its back office management with SAP on Google Cloud. Not just that, it also realized the added benefits of flexibility, agility, and disaster recovery.
Watch this video as Carrefour executives explain why they decided to move SAP to Google Cloud and the benefits the company derived.
Turning the Tide: How PrestaShop Regained Trust in Data

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Since 2007, PrestaShop has helped companies unlock the power of e-commerce through its open-source platform. Over 300,000 merchants worldwide use the PrestaShop platform to grow their business and serve online shoppers.
“Our open-source strategy to ecommerce enablement sets us apart,” says Rémi Paulin, Ph.D., Data Architect at PrestaShop. “Customization is becoming more crucial to retailers, and our open-source platform allows companies to continually evolve their sites and services to stand out from competitors.”
As PrestaShop grew, it wished to derive more value from its data, but the company ran into issues caused by a legacy, siloed architecture that negatively impacted data consistency and accessibility.
Let’s look at how PrestaShop works with Google Cloud and partners Fivetran and Hightouch to gain more control over data, enable a beyond-BI data strategy, and increase employee engagement from less than 10% to more than 40%.
Improving trust in data
Core systems at PrestaShop, including SQL and NoSQL databases, and SaaS Applications, were siloed; each presenting its own data, often captured from different sources such as support tickets, marketing engagement, purchase activity, and product usage. This setup made data overall inconsistent as no single system would contain a source of truth, resulting in many inefficiencies, poor collaboration across teams, and a reluctance to use data to support key decisions.
“Not long ago, less than 10% of the company regularly relied on data, so we were missing opportunities to make more data-driven decisions,” says Paulin. “Data was underutilized, and people were rapidly losing trust in data.”

PrestaShop set out to design a new architecture to address past challenges, such as lack of data consistency, and improve data accessibility.
“Google Cloud, along with Hightouch and Fivetran, allowed us to build a modern stack to solve these challenges and support our beyond-BI data strategy.”
Building a modern data stack
The first step was to build a robust data ingestion pipeline. After considering several vendors, PrestaShop chose to work with Fivetran to extract data from SaaS applications, including Zendesk, HubSpot, and GitHub, to load into BigQuery. They also use Datastream to stream Change Data Capture (CDC) data from transactional databases into BigQuery in real-time.
“Fivetran and Datastream are no-ops, efficient and highly reliable, and relieve our Data Engineers of management tasks. This brings us a high degree of confidence to build the rest of the stack atop these services,” says Paulin.
PrestaShop relies on several Google Cloud solutions, including Dataflow, and a managed Spark service by Ascend.io, for data transformation. It also uses Looker for its semantic modeling capacities and as a self-serve data platform.
As the company continued on its journey to transform how it manages and benefits from data, it engaged Hightouch to enable data accessibility through activation. Sitting on top of Looker, Hightouch unlocks all data models for operational intelligence. For example, in just a few days, the team built a customer knowledge model combining data from multiple sources and used Hightouch to sync data from the semantic layer to Zendesk via Reverse ETL. This allowed the care team to make more data-informed decisions, speeding up the time to resolve support tickets submitted through Zendesk by 33%.
“Hightouch feels like a natural extension of Looker and reinforces the position of the semantic data model as the single source of truth,” says Paulin. “It powers a variety of Data Activation use cases, supporting our beyond-BI strategy by providing teams with access to data when and where they need it to improve everyday operations. This has a big impact on the company, bolstering employee trust in available data.”

Becoming data-driven
In less than six months, PrestaShop managed to get the entire data stack up and running, build over 30 data models and engage over 120 employees with a small team of only two Data Engineers.
“Data is now accessible to every stakeholder within the company, regardless of their technical abilities,” says Paulin.
PrestaShop has already seen much progress in its shift to a more data-driven company and is excited to roll out more self-service intelligence capabilities in the future.
“Google Cloud drives home a culture of simplicity around our data stack, which is essential for us, especially given the small size of our engineering team,” says Paulin. “Fivetran and Hightouch share this culture of simplicity. Together, they offer strong foundations to support our data needs.”
Dashboards, which the company had always had an appetite for, are seamlessly created today. Before moving to Looker, a full-fledged dashboard would take an average of six weeks to develop. Now, it takes less than two days – and a simple dashboard can be created autonomously by business users in as little as 15 minutes.
Furthermore, data usage goes beyond dashboards. Thanks to Looker’s self-service exploration capabilities, many stakeholders can now glean insights surrounding product issues and business opportunities. Thanks to Hightouch, teams can activate their data to make better and smarter operational decisions.
“This is a big leap forward and one of many to come as we continue to add new models, activate our data, and onboard more users,” says Paulin. “Given our global reach and unique approach to e-commerce enablement, we know this is just the start of the great things we can accomplish with Google Cloud, Fivetran, and Hightouch.”
Check out Fivetran on Google Cloud Marketplace, or sign up for a free Hightouch workspace to learn more about what partners can do for your business.
Linking the Middle East with Southern Europe and Asia: Google’s New Subsea Cables to Be Ready by 2024!

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Today, we’re announcing that we are collaborating with Sparkle and others to build and operate two submarine cable systems linking the Middle East with southern Europe and Asia: the Blue Submarine Cable System connecting Italy, France, Greece, and Israel; and the Raman Submarine Cable System connecting Jordan, Saudi Arabia, Djibouti, Oman and India.
Developing additional network capacity and routes is critical to Google users and customers around the globe, who depend on robust connectivity to power their online lives, and communicate with friends, family and business partners. Google users and Google Cloud customers will benefit from increased capacity and decreased latency to regions in the area.
Each equipped with 16 fiber optic pairs, the Blue and Raman Submarine Cable Systems are expected to be ready for service in 2024. In time, consortium members hope to make additional landings and connect the two systems through terrestrial network assets.
Like with other infrastructure projects, building a subsea cable is an opportunity to pay tribute to a regional luminary who has advanced human understanding. The Raman cable is named for Sir Chandrasekhara Venkata Raman, an Indian physicist who won the 1930 Nobel Prize in Physics—the first Asian to receive that honor in science. C.V. Raman’s work centered on light scattering, which finds that when light traverses a transparent material, some of the deflected light changes wavelength and amplitude. This so-called Raman effect is a foundational principle in the field of optics that enables any underwater network cable. A trip across the Mediterranean also prompted him to ask why the sea is blue, when water itself is clear? Thanks to C.V. Raman, we now know that the sea isn’t simply reflecting the sky, but because the water itself causes blue light to scatter.
With Blue and Raman, we now have 18 investments in subsea cables around the world, including Google-funded cables like Curie, Dunant, Equiano, Firmina and Grace Hopper, and consortium cables like Echo, JGA, INDIGO and Havfrue. You can learn more about Google Cloud’s network and infrastructure here.
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