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
Expanding Google Cloud Ready – Sustainability Program with 12 New Partners
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We introduced the Google Cloud Ready – Sustainability designation earlier this year to showcase those partners committed to help global businesses and governments accelerate their sustainability programs. These partners build solutions that enhance the capabilities and ease the adoption of powerful Google Cloud technologies, such as Google Earth Engine and BigQuery, allowing customers to leverage data-rich solutions that help reduce their carbon footprints.
Today, we’re pleased to announce growth of the Google Cloud Ready – Sustainability program, with 12 new partners joining the initiative and bringing their climate, ESG, and sustainability platforms to Google Cloud. These partners include:
Aclima is pioneering an entirely new way to diagnose the health of our air and track climate-changing pollution. Powered by its network of roving and stationary sensors, Aclima measures air pollution and greenhouse gasses at unprecedented scales and with block-by-block resolution.
Sustainability at Airbus means uniting and safeguarding the world in a safe, ethical, and socially and environmentally responsible way. Airbus has a comprehensive sustainability strategy built on four core commitments, which guide the company’s approach to the way it does business and how it designs its products and services: Lead the journey toward clean aerospace, respect human rights and foster inclusion, build the business on the foundation of safety and quality, and exemplify business integrity.
Atlas AI is a predictive analytics platform that analyzes, monitors, and forecasts regions of growth, vulnerability, and opportunity around the world to offer insight into where organizations can grow most successfully, and where investment can boost historically underserved communities. Atlas AI’s platform has been used to expand water and sanitation infrastructure, promote new electrification, target community health services, and broaden internet access in countries across Sub-Saharan Africa and South Asia.
BlueSky Resources makes sense of sensors from both public and private sources by harmonizing inputs from ground, aerial and space based inputs. Expertise in atmospheric science and cloud technology allows BlueSky to provide understanding and insights related to the correlation of emissions insights to assets and activities. This powerful combination of data, climate science and delivery of insights is enabling focused sustainability impact across clients in various industries including energy, waste management, industry and natural resource management.
Electricity Maps provides companies with actionable data quantifying the carbon intensity and origin of electricity. This data is available on an hourly basis across 50+ countries and more than 160 regions. Electricity Maps’ mission is to organize the world’s electricity data to drive the transition toward a truly decarbonized electricity system.
FlexiDAO is a global climate tech company based in the Netherlands and Spain. The company works closely with other critical stakeholders to co-create the international standard around energy-related emissions compliance. Thanks to FlexiDAO’s end-to-end 24/7 Carbon-free Energy platform, companies can quantify and confidently showcase their contribution to society’s decarbonization.
LevelTen Energy helps organizations achieve carbon-free energy usage targets (on an annual and 24/7 basis) by delivering access to the world’s largest clean energy marketplace, and the software, data, analytics, and expertise required for efficient transactions. The LevelTen Platform connects energy buyers and over 40 sustainability advisors with more than 1,800 carbon-free energy projects in 24 countries across North America and Europe.
Ren is a SaaS platform built on Google Cloud that enables companies with global supply chains to source the cleanest energy possible. Despite using country-sized amounts of energy, most companies have no idea how to transition to renewables due to complex financial, technical, and logistical challenges. Ren unlocks cost savings, provides the cleanest energy possible, and ensures companies meet their carbon commitments on time.
Sidewalk Labs, an urban innovation unit in Google, builds products to radically improve quality of life in cities for all. Delve is a product that helps real estate teams design more sustainable buildings and neighborhood blocks, faster. Mesa automates building controls to deliver savings and comfort to commercial building owners and tenants. With these products and others, Sidewalk Labs helps commercial real estate developers, building owners and city planners make more sustainable choices for the built environment that are better for communities and the planet.
Tomorrow.io is The World’s Weather and Climate Security Platform, helping countries, businesses, and individuals manage their weather and climate security challenges. The platform is fully customizable to any industry impacted by the weather. Customers around the world use Tomorrow.io to dramatically improve operational efficiency. Tomorrow.io was built from the ground up to help teams prepare for the business impact of weather by automating decision-making and enabling climate adaptation at scale.
UP42 is a geospatial developer platform and marketplace bringing together industry-leading data and ready-to-use processing algorithms. The platform enables organizations to build, run, and scale geospatial products. With the ability to choose from a wide range of high-resolution commercial and open satellite data, aerial, weather, and others, solution providers can apply best-in-class machine learning and/or processing modules to gain valuable geospatial insights and streamline their processes.
Woza is a sustainable innovation platform that leverages deep geospatial knowledge and existing best-in-class technologies to develop a new generation of streamlined analytics workflows focused on sustainability. Companies in agri-food, energy, and public sector are partnering with Woza to accelerate their journey to Industry 4.0.
Adding expertise to accelerate sustainability use cases
New partners in the initiative join our existing Google Cloud Ready – Sustainability partners like Carto, Climate Engine, Geotab, NGIS, and Planet Labs PBC bringing a wealth of industry knowledge, offering solutions for sustainability challenges ranging from first-mile sustainable sourcing and spatial finance to fleet electrification and rich geospatial visualizations.
CARTO is the world’s leading Location Intelligence platform, enabling organizations to use spatial data and analysis for more efficient delivery routes, better behavioral marketing, strategic store placements, and much more. The company’s solutions extend the geospatial capabilities available in BigQuery, while leveraging the near limitless scalability that Google Cloud provides. When it comes to sustainability, CARTO’s platform is trusted by a wide range of organizations, including Greenpeace, Vizzuality, Litterati, Indigo, WWF, the Marine Conservation Institute, The World Bank, and the Institute for Sustainable Cities.
Climate Engine leverages data from Google Earth Engine and other ecosystem partners to help organizations improve their climate change-related risk planning in areas such as water use, agriculture, storm risk, and wildfire spread. By linking the economy and the environment, organizations can understand how environmental risks are affecting their markets and discover opportunities to reduce their emissions and potential supply chain or operational disruptions from climate-related events.
Geotab is advancing security, connecting commercial vehicles to the cloud, and providing data-driven analytics to help customers better manage their fleets. Processing billions of data points daily, Geotab helps businesses improve and optimize fleet productivity, enhance safety, and achieve sustainability goals and stronger compliance.
Geospatial solutions provider NGIS built a SaaS-based first-mile sustainable sourcing solution called TraceMark using Google Cloud’s geospatial platform and technologies from other ecosystem partners. Several global CPG firms have already used TraceMark to modernize their geospatial workflows and help facilitate the use of space-based data for supply chain sustainability transformation.
Planet Labs PBC operates the largest fleet of Earth imaging satellites in history, with approximately 200 satellites in orbit. Planet’s mission is to image the whole earth’s landmass every day to make global change visible, accessible, and actionable. As a Public Benefit Corporation, Planet’s Public Benefit Purpose is to accelerate humanity toward a more sustainable, secure, and prosperous world by illuminating environmental and social change.
How the Google Cloud Ready – Sustainability program works
If you are a Google Cloud partner with sustainability solutions and expertise to share, the Google Cloud Ready – Sustainability program is open for applications. Entry into the program requires that the partner solution delivers quantifiable results for climate mitigation, adaptation, or reporting needs. To apply for the Google Cloud Ready – Sustainability designation, the solution must:
- Be available on Google Cloud
- Address ESG risk, and assist customers in achieving ESG targets and/or support typical ESG goal frameworks, such as the United Nations’ SDGs
- Demonstrate repeatability
- Meet minimum Google Cloud application development best practices, including security, performance, scalability, availability, and carbon footprint reporting for available services
- Have Google Cloud Carbon Footprint Reporting enabled
- Have at least one public customer case study available.
The selection process begins with an evaluation of the solution. If a partner meets the above criteria, Google Cloud provides a suggested roadmap for tier progression within the program and then issues a formal acknowledgement of participation in the Google Cloud Ready – Sustainability program. Together, Google Cloud sustainability partners can deliver platforms that are helping businesses and governments accelerate progress aligned to their environmental goals.
Google Cloud will showcase the validated solutions on the Google Cloud Partner Directory Listing, Google Cloud Ready Sustainability Partner Advantage page, and — if applicable — via the Google Cloud Marketplace. We hope to help customers better understand how these technologies can help them meet their ESG goals, find the right solution for their particular challenge, and implement a solution faster.
Prospective partners can visit the Partner Portal to learn more about the Google Cloud Ready – Sustainability program or complete an application.
Three German Retail Firms Choose Google Cloud to Migrate SAP Workloads for Business Transformation
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The retail industry is rapidly evolving, with customers demanding exceptional digital experiences, and retailers adjusting their businesses to be more efficient. With many retailers relying on SAP for critical business functions like digital transactions, finance, supply chains and more, this shift has led them to look for ways to modernize these systems, deliver them on highly scalable infrastructure, and extract more value out of the data from within them.
I’m proud that we are helping German retailers successfully migrate business-critical SAP systems onto Google Cloud, minimizing risk and downtime and ultimately helping them build a foundation for future growth. Our work with retailers like Otto Group, one of the world’s largest ecommerce businesses, MediaMarktSaturn, the large consumer electronics retailer, and METRO, the wholesale retailer with operations across Europe, demonstrates our deep partnership with SAP to support customers’ digital transformations.
Helping Otto Group IT run SAP on secure, sustainable infrastructure
Otto Group, a leading online-retailer and services group in Germany and one of the world’s largest ecommerce companies, migrated their SAP workloads to Google Cloud in order to modernize their SAP landscape and build a more agile environment that would enable them to quickly scale up or down according to business needs.
The Otto Group, which consistently balances the sustainable use of resources and climate-neutral action with economic growth, is also able to leverage Google Cloud’s clean infrastructure to deliver the bulk of its internal SAP environment, ensuring the company’s business systems are running on secure, sustainable infrastructure. Since 2017, Google has matched 100% of its global electricity use with purchases of renewable energy every year, and is now building on that progress with a new goal of running entirely on carbon-free energy at all times by 2030.
With Google Cloud, Otto Group has told us they have access to better means of automation and improved network capability compared to what they had with their previous provider. Through this cloud migration, Otto Group IT is providing modern and flexibly scalable SAP systems to their internal customers.
Powering MediaMarktSaturn’s online ecommerce experience
For MediaMarktSaturn, SAP is critical to the smooth day-to-day running of its business, so the company was keen to ensure maximum availability and stability with a cloud environment. After a thorough examination of its business needs and hands-on support from Google Cloud’s teams, MediaMarktSaturn elected to migrate its SAP HANA database onto Google Cloud, enabling a performance increase of four times compared to its previous on-premises installations.
The SAP suite is critical for the ecommerce platform to run smoothly on a day-to-day basis. By migrating to Google Cloud, the retailer is providing even more support and maximum availability for its customers. With Google Cloud’s industry-specific expertise, MediaMarktSaturn’s customers have access to a reliable and stable ecommerce platform, so they can browse for products online from wherever they are.
Transforming METRO’s business by running SAP workloads in the cloud
With more than 97,000 employees in 34 countries, Germany’s METRO is one of the world’s largest B2B wholesalers. Previously, METRO relied on unique finance systems that were different in each country, and updates or system testing required substantial coordination across numerous teams, which was both time-consuming and costly.
To address these pain points, METRO is moving away from on premise deployments and is now migrating its SAP S/4HANA finance systems to Google Cloud to support everything from classical role-based accounting to the use of cognitive tools. Now, internal METRO teams can work seamlessly across operations, enhancing the services they provide to customers by addressing demands in real time.
To read more about how SAP on Google Cloud drives agility, efficiency, and innovation for our customers, visit our solutions page here.
Sainsbury’s Uses AI to Figure Out How the World Eats
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Retail will forever be an industry that must constantly reinvent itself in response to, and anticipation of, ever-changing consumer demands.
Digital transformation is fueling these changes and we’ve previously spoken about how businesses including Ulta Beauty and Kohl’s are taking advantage of Google Cloud to put data at the center of what they do and deliver the best possible shopping experience and product offerings for their customers.
Leveraging Google Cloud machine learning platform, Sainsbury is able to develop predictive analytics models to spot trends and adjust inventory, providing shoppers with a better experience.
Sainsbury’s, one of Britain’s best-known supermarkets, is another great example of a business transforming the way it engages with its customers with the cloud.
With over 150 years of service, Sainsbury’s vision is to be the most trusted retailer, where people love to work and shop. It makes customers’ lives easier, by offering great quality and service at fair prices.
The food industry and the way that customers shop is rapidly changing. From foodie hashtags on Instagram, to the latest cooking fads, customers want to stay connected to the latest trends and Sainsbury’s is empowering them do that.
To help Sainsbury’s achieve this goal, its Commercial and Technology teams, in partnership with Accenture, are building cutting-edge machine learning solutions on Google Cloud Platform (GCP) to provide new insights on what customers want and the trends driving their eating habits.
With the help of Google Cloud Platform, we are generating new insights into how the world eats and lives, to help us stay ahead of market trends and provide an even better shopping experience for our customers.
–Phil Jordan, Group CIO, Sainsbury’s
Sainsbury’s solution relies on data from multiple structured and unstructured sources. Using Google Cloud’s powerful cloud-based analytics tools to ingest, clean and classify that data, and a custom-built front-end interface for internal users to seamlessly navigate through a variety of filters and categories, Sainsbury’s is able to gain advanced insights in real time.
As a result, Sainsbury’s has been able to develop predictive analytics models to spot trends and adjust inventory, providing shoppers with a better experience.
Phil Jordan, Group CIO of Sainsbury’s believes this project will have a big impact.
“The grocery market continues to change rapidly. We know our customers want high quality at great value and that finding innovative and distinctive products is increasingly important to them. With the help of Google Cloud Platform, we are generating new insights into how the world eats and lives, to help us stay ahead of market trends and provide an even better shopping experience for our customers.”
This project is also a great example of the successes Google Cloud customers have when they work with the company’s partners.
“We’re delighted to partner with Google Cloud to help the Sainsbury’s Commercial team apply predictive analytics to the identification of new and emerging trends in grocery,” says Adrian Bertschinger, Managing Director for Retail, Accenture.
“The food sector is experiencing significant, rapid disruption, and this new, cloud-based insights platform will help Sainsbury’s identify trends much earlier and adapt their product assortment in a faster, more informed way—all for the benefit of customers.”
Whatever the next food or shopping trend may be, Sainsbury’s is looking to the cloud to help them stay a step ahead.
Why Now Moving to Cloud is Great for Media and Broadcasting Companies
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The broadcasting industry has gone through many evolutions since its inception. From linear over-the-air (OTA) to digital & personalized, to standard to ultra high definition, these evolutions were driven by increased demand from viewers who want more choices. The next evolution is happening now, driven by the emergence in cloud computing in a globally connected world. Broadcasters are understanding that the key for long-term success is embracing technical agility while they innovate their business models. Google Cloud technologies can provide a path for continual transformation, empowering broadcasters a multitude of ways to chart their own growth.
As broadcasters evolve their business models and operations for a digital future, evaluating both financial alongside operational benefits will lead to the best outcome. Legacy and siloed media supply chains restrict the ability to deliver content quickly across multiple consumption platforms. By understanding how cloud capabilities can provide cost savings, allow for more efficiency and scale, and open new revenue streams, broadcasters can harness flexible cloud technologies while achieving cost savings and increasing revenue.
Media workflows in the cloud
Over the last few years we have seen tremendous growth from media companies migrating their supply chains to the cloud. Today, there exists a whole ecosystem of media technologies that are built to take advantage of the cloud. “Does it work on the cloud?” is no longer driving the conversation. Rather, media companies now want to understand how Cloud can integrate with their business and drive better business outcomes.
Over the last years we have partnered with leading media companies including Grupo Globo, TelevisaUnivision and others to not only migrate their content supply chain to the cloud, but also leverage cloud capabilities to innovate their services to:
- Increase and streamline content production
- Distribute personalized content at planet scale
- Forge deep relationships with their audiences
- Identify new monetization opportunities
Impact of Cloud on Performance & Financials
M&E companies need to be able to provide more content at a quicker pace, with experiences that are seamless and exciting to viewers to retain their attention and dollars. Moving legacy systems and processes to the cloud is an organization-wide commitment, and the journey can pay off financially, while providing M&E companies valuable industry capabilities. With Google Cloud business value engagement framework, we partner to identify where there are opportunities in cost, output, and impact that IT can have.
Below are some examples of how we have worked with our customers to map organization optimizations to business drivers
Working Together – How can Google help
Our focus with customers is to help identify and understand the challenges that Media & Entertainment companies have in moving to the cloud, and coming up with the plan and solutions that Google can do to overcome them. Together we commit to understanding your business, both where you are right now in your IT capabilities as well as the progress you want to make to continue providing the best digital capabilities to clients and employees.
As broadcasters move more processes and solutions to the cloud, the exponential effect of harnessing data and AI power will provide incremental business value across all lines of business. Combined, these impacts to a broadcaster allow both operational excellence while optimizing costs as they continue to expand offerings to customers and regions around the world.
We recognize that every media company’s journey is different and so are expected business outcomes. Google Cloud works closely with customers – partnering every step of the way – to align technology, the media industry, and business outcomes.
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Philips Looks to Google Cloud for its Connected Lighting Solution
Philips Lighting wanted to transform the way people use lighting in their homes. The company aimed to connect light bulbs to the Internet, tie them to usage data, and make them interactive in order to offer benefits beyond basic lighting—for creating amazing experiences, home security, or to support well-being, like providing the right light for daily activities.
To do that, Philips Lighting launched Philips Hue connected lighting, designed so people could control their lighting from smartphone apps. But Philips Lighting needed a cloud platform that would let the apps securely access, monitor, and interact with the new lighting system. The company decided to build the backend using Google Cloud Platform.
Google Cloud Platform has dramatically cut the costs and resources required to handle the Philips Hue backend and scales on demand. Philips Lighting runs the platform with 10 times the scale of other similar projects, but with only one-tenth of the workforce.
Watch the video to find out how.
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Google’s Latest ‘Carbon Footprint’ can Flag Users about Carbon Emission Levels from their Cloud Usage
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