A Breakdown of Cloud-based Data Ingestion Practices
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Businesses around the globe are realizing the benefits of replacing legacy data silos with cloud-based enterprise data warehouses, including easier collaboration across business units and access to insights within their data that were previously unseen. However, bringing data from numerous disparate data sources into a single data warehouse requires you to develop pipelines that ingest data from these various sources into your enterprise data warehouse. Historically, this has meant that data engineering teams across the organization procure and implement various tools to do so. But this adds significant complexity to managing and maintaining all these pipelines and makes it much harder to effectively scale these efforts across the organization. Developing enterprise-grade, cloud-native pipelines to bring data into your data warehouse can alleviate many of these challenges. But, if done incorrectly, these pipelines can present new challenges that your teams will have to spend their time and energy addressing.
Developing cloud-based data ingestion pipelines that replicate data from various sources into your cloud data warehouse can be a massive undertaking that requires significant investment of staffing resources. Such a large project can seem overwhelming and it can be difficult to identify where to begin planning such a project. We have defined the following principles for data pipeline planning to begin the process. These principles are intended to help you answer key business questions about your effort and begin to build data pipelines that address your business and technical needs. Each section below details a principle of data pipelines and certain factors your teams should consider as they begin developing their pipelines.
Principle 1: Clarify your objectives
The first principle to consider for pipeline development is clarify your objectives. This can be broadly defined as taking a holistic approach to pipeline development that encompasses requirements from several perspectives: technical teams, regulatory or policy requirements, desired outcomes, business goals, key timelines, available teams and their skill sets, and downstream data users. Clarifying your objectives clearly identifies and defines requirements from each key stakeholder at the beginning of the process and continually checks development against these requirements to ensure the pipelines built will meet these requirements.This is done by first clearly defining the desired end state for each project in a way that addresses a demonstrated business need of downstream data users. Remember that data pipelines are almost always the means to accomplish your end state, rather than the end state itself. An example of an effectively defined end-state is “enabling teams to gain a better understanding of our customers by providing access to our CRM data within our cloud data warehouse” rather than “move data from our CRM to our cloud data warehouse”. This may seem like a merely semantic difference, but framing the problem in terms of business needs helps your teams make technical decisions that will best meet these needs.
After clearly defining the business problem you are trying to solve, you should facilitate requirement gathering from each stakeholder and use these requirements to guide the technical development and implementation of your ingestion pipelines. We recommend gathering stakeholders from each team, including downstream data users, prior to development to gather requirements for the technical implementation of the data pipeline. These will include critical timelines, uptime requirements, data update frequency, data transformation, DevOps needs, and security, policy, or regulatory requirements by which a data pipeline must meet.
Principle 2: Build your team
The second principle to consider for pipeline development is build your team. This means ensuring you have the right people with the right skills available in the right places to develop, deploy, and maintain your data pipelines. After you have gathered your pipeline requirements, you can begin to develop a summary architecture that will be used to build and deploy your data pipelines. This will help you identify the human talent you will need to successfully build, deploy, and manage these data pipelines and identify any potential shortfalls that would require additional support from either third-party partners or new team members.
Not only do you need to ensure you have the right people and skill sets available in aggregate, but these individuals need to be effectively structured to empower them to maximize their abilities. This means developing team structures that are optimized for each team’s responsibilities and their ability to support adjacent teams as needed.
This also means developing processes that prevent blockers to technical development whenever possible, such as ensuring that teams have all of the appropriate permissions they need to move data from the original source to your cloud data warehouse without violating the concept of least privilege. Developers need access to the original data source (depending on your requirements and architecture) in addition to the destination data warehouse. Examples of this are ensuring that developers have access to develop and/or connect to a Salesforce Connected App or read access to specific Search Ads 360 data fields.
Principle 3: Minimize time to value
The third principle to consider for pipeline development is minimize time to value. This means considering the long-term maintenance burden of a data pipeline prior to developing and deploying it in addition to being able to deploy a minimum viable pipeline as quickly as possible. Generally speaking, we recommend the following approach to building data pipelines to minimize their maintenance burden: Write as little code as possible. Functionally, this can be implemented by:
1. Leveraging interface-based data ingestion products whenever possible. These products minimize the amount of code that requires ongoing maintenance and empower users who aren’t software developers to build data pipelines. They can also reduce development time for data pipelines, allowing them to be deployed and updated more quickly.
- Products like Google Data Transfer Service and Fivetran allow for managed data ingestion pipelines by any user to centralize data from SaaS applications, databases, file systems, and other tooling. With little to no code required, these managed services enable you to connect your data warehouse to your sources quickly and easily.
- For workloads managed by ETL developers and data engineers, tools like Google Cloud’s Data Fusion provide an easy-to-use visual interface for designing, managing and monitoring advanced pipelines with complex transformations.
2. Whenever interface-based products or data connectors are insufficient, use pre-existing code templates. Examples of this include templates available for Dataflow that allow users to define variables and run pipelines for common data ingestion use cases, and the Public Datasets pipeline architecture that our Datasets team uses for onboarding.
3. If neither of these options are sufficient, utilize managed services to deploy code for your pipelines. Managed services, such as Dataflow or Dataproc, eliminate the operational overhead of managing pipeline configuration by automatically scaling pipeline instances within predefined parameters.
Principle 4: Increase data trust and transparency
The fourth principle to consider for pipeline development is increase data trust and transparency. For the purposes of this document, we define this as the process of overseeing and managing data pipelines across all tools. Numerous data ingestion pipelines that each leverage different tools or are not developed under a coordinated management plan can result in “tech sprawl”, which significantly increases the management overhead of data ingestion pipelines as the quantity of data pipelines increases. This becomes especially cumbersome if you are subject to service-level agreements, or legal, regulatory, or policy requirements for overseeing data pipelines. Preventing tech sprawl is, by far, the best strategy for dealing with it by developing streamlined pipeline management processes that automate reporting. Although this can theoretically be achieved by building all of your data pipelines using a single cloud-based product, we do not recommend doing so because it prevents you from taking advantage of features and cost optimizations that come with choosing the best product for your use case.
A monitoring service such as Google Cloud Monitoring Service or Splunk that automates metrics, events, and metadata collection from various products, including those hosted in on-premise and hybrid computing environments, can help you centralize reporting and monitoring of your data pipelines. A metadata management tool such as Google Cloud’s Data Catalog or Informatica’s Enterprise Data Catalog can help you better communicate the nuances of your data so users better understand which data resources are best fit for a given use case. This significantly reduces your pipeline’s governance burden by eliminating manual reporting processes that often result in inaccuracies or lagging updates.
Principle 5: Manage costs
The fifth principle to consider for pipeline development is manage costs. This encompasses both the cost of cloud resources and the staffing costs necessary to design, develop, deploy, and maintain your cloud resources. We believe that your goal should not necessarily be to minimize cost, but rather maximizing the value of your investment. This means maximizing the impact of every dollar spent by minimizing waste in cloud resource utilization and human time. There are several factors to consider when it comes to managing costs:
- Use the right tool for the job – Different data ingestion pipelines will have different requirements for latency, uptime, transformations, etc. Similarly, different data pipeline tools have different strengths and weaknesses. Choosing the right tool for each data pipeline can help your pipelines operate significantly more efficiently. This can reduce your overall cost, free up staffing time to focus on the most impactful projects, and make your pipelines much more efficient.
- Standardize resource labeling – Implement and utilize a consistent labeling schema across all tools and platforms to have the most comprehensive view of your organization’s spending. One example is requiring all resources to be labeled by the cost center or team at time of creation. Consistent labeling allows you to monitor your spend across different teams and calculate the overall value of your cloud spending.
- Implement cost controls – If available, leverage cost controls to prevent errors that result in unexpectedly large bills.
- Capture cloud spend – Capture your spend on all cloud resource utilization for internal analysis using a cloud data warehouse and a data visualization tool. Without it, you won’t understand the context of changes in cloud spend and how they correlate with changes in business.
- Make cost management everyone’s job – Managing costs should be part of the responsibilities of everyone who can create or utilize cloud resources. To do this well, we recommend making cloud spend reporting more transparent internally and/or implementing chargebacks to internal cost centers based on utilization.
Long-term, the increased granularity in cost reporting available within Google Cloud can help you better measure your key performance indicators. You can shift from cost-based reporting (i.e. – “We spent $X on BigQuery storage last month”) to value-based reporting (i.e. – “It costs $X to serve customers who bring in $Y revenue”).
To learn more about managing costs, check out Google Cloud’s “Understanding the principles of cost optimization” white paper.
Principle 6: Leverage continually improving services
The sixth principle is leverage continually improving services. Cloud services are consistently improving their performance and stability, even if some of these improvements are not obvious to users. These improvements can help your pipelines run faster, cheaper, and more consistently over time. You can take advantage of the benefits of these improvements by:
- Automating both your pipelines and pipeline management: Not only should data pipelines be automated, but almost all aspects of managing your pipelines can also be automated. This includes pipeline/data lineage tracking, monitoring, cost management, scheduling, access management and more. This helps reduce long-term operational costs of each data pipeline that can significantly alter your value proposition and prevent any manual configurations from negating the benefits of later product improvements.
- Minimizing pipeline complexity whenever possible: While ingestion pipelines are relatively easy to develop using UI-based or managed services, they also require continued maintenance as long as they are in use. The most easily maintained data ingestion pipelines are typically the ones that minimize complexity and leverage automatic optimization capabilities. Any transformation in a data ingestion pipeline is a manual optimization of the pipeline that may struggle to adapt or scale as the underlying services improve. You can minimize the need for such transformations by building ELT (extract, load, transform) pipelines rather than ETL (extract, transform, load) pipelines. This pushes transformations down to the data warehouse that is use a specifically optimized query engine to transform your data rather than manually configured pipelines.
Next steps
If you’re looking for more information about developing your cloud-based data platform, check out our Build a modern, unified analytics data platform whitepaper. You can also visit our data integration site to learn more and find ways to get started with your data integration journey.
Once you’re ready to begin building your data ingestion pipelines, learn more about how Cloud Data Fusion and Fivetran can help you make sure your pipelines address these principles.
Google Workspace: All in One Place for Everyone to Get Things Done!
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Since the launch of Gmail in 2004, and Google Docs two years later, we’ve been building flexible, helpful and innovative solutions that allow people to connect, create and collaborate securely — from anywhere on the planet and on any device. When we debuted Google Workspace last October, we not only introduced a new brand, but also our vision for a single, integrated experience for everyone: Everything you need to get anything done, now in one place. Across apps like Gmail, Chat, Calendar, Drive, Docs, Sheets, Meet and more, our consumer, enterprise and education users choose Google Workspace to stay in touch, share ideas and get more done together every day.
Over the last year, we’ve delivered innovations that bring together the content, communications and tasks that help millions of businesses, nonprofits and classrooms transform how they collaborate, make the most of their time, and have more impact. Now we’re bringing those same innovations to everyone else. Starting today, all of Google Workspace is available to anyone with a Google account.
Bring your projects and passions to life in Google Workspace
By bringing Google Workspace to everyone, we’re making it easy for people to stay connected, get organized and achieve more together, whether it’s advancing a cause, planning your family reunion, assigning next steps for the PTA or discussing this month’s book club pick.
You can create a secure collaboration space in Google Chat to keep everyone up-to-date, share ideas, and keep track of all your important info in one place, from videos and pictures of your last trip, to a Google Sheet of your family’s annual budget. Smart suggestions help you bring in recommended files and quickly include the right people with @-mentions, whether you’re drafting a message in Gmail to the whole group or scheduling a meeting invite in a shared Calendar. To keep things moving, you can use smart canvas to generate a checklist in Google Docs and quickly assign roles and next steps. And if your project calls for a spontaneous conversation, you can present the Doc, Sheet or Slide you’re working on together directly into a Google Meet call with just one click.
What’s more, you’ll have peace of mind as you work with others knowing that we designed Google Workspace to operate on a secure foundation, with the protections needed to keep you safe, your data secure, and your information private.
Starting today, you can enable the integrated experience in Google Workspace by turning on Google Chat. Use Rooms in Google Chat as a central place to connect, create and collaborate with others. Over the summer, we’ll evolve Rooms to become Spaces and introduce a streamlined and flexible user interface that helps you stay on top of everything that’s important. Powered by new features like in-line topic threading, presence indicators, custom statuses, expressive reactions, and a collapsible view, Spaces will seamlessly integrate with your files and tasks, becoming your new home in Google Workspace for getting more done — together. Learn more about our vision for collaborating in Spaces.
Introducing Google Workspace Individual
For some people, pursuing their passion and getting involved in the community leads to great business ideas. For other entrepreneurs, a single Google account is the basis for managing their long-established businesses or getting the word out about their next big endeavor. With Google Workspace Individual, we’re delivering a powerful, easy-to-use solution that was built to help people grow, run and protect their business.
With this new Google Workspace subscription offering, individual small business owners can get more done, show up more professionally and better serve their customers. Building on the integrated Google Workspace experience now available to everyone, the solution provides premium capabilities, including smart booking services, professional video meetings, personalized email marketing and much more on the way. Within their existing Google account, subscribers can easily manage all their personal and professional commitments from one place with access to Google support to get the most out of their solution.
Workspace Individual was created to help people focus their time on doing what they love — like meeting with customers and designing personalized services — and less time on everyday tasks like scheduling appointments and emailing customers. Workspace Individual is rolling out soon to six markets, including the United States, Canada, Mexico, Brazil, Australia and Japan. Sign up to receive updates on Google Workspace Individual.
Google Workspace: How it’s done
Every day, the world’s most innovative companies, schools, nonprofits and governments use Google Workspace to transform how people work and achieve more together. It’s a daily part of how leading healthcare providers revolutionize patient care, schools turn remote learning into an immersive, personalized experience, and aerospace companies rethink flight. Now, with Google Workspace for everyone, you can organize your junior sports league with ease, take that fundraiser to the next level, or even turn your hobby into a business. Whatever it is, Google Workspace helps people (teams, families, friends, volunteers, neighbors…) connect, create and collaborate. Google Workspace is how it’s done.
Discovery’s Massive Workspace Migration Fuels Innovation and Collaboration
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In the past two decades, Discovery has moved from a purely cable business based in the U.S. to a global media and entertainment powerhouse. Like many other businesses in the industry, we’ve had to adjust to the unique shifts in people’s behaviors and preferences, almost all of which result from the rise in streaming.
We have always been consumer-obsessed at Discovery, with a corporate culture built on the desire to entertain and inspire people of all ages and backgrounds with exceptional content. As we’ve grown, we have also learned just how important it is to be staff-obsessed, giving our employees the best possible experiences so they can continue to innovate and deliver the world-class content our customers expect.
In 2019, we decided one way to fuel innovation and collaboration among employees was to bring in Google Workspace. Selected for its intuitive, easy-to-use, and constantly evolving tools, Google Workspace enables teams to seamlessly create, connect, and collaborate anywhere, anytime.
Given the scope of our ambitions, and recognizing the challenges of migrating 16,500 global employees to a new collaboration solution, we worked with Google Cloud premier partner SADA to get the job done.
Change management amid a massive migration
We began the move to Google Workspace by migrating our document storage system from a legacy cloud provider to Google Drive. This included 86 million items amounting to about two petabytes of data migrated with minimal disruptions. A few months later we completed our move to Google Workspace by migrating 1.2 million calendar invites and 20,800 mail accounts, including thousands of collaborative inboxes and delegated accounts.
In addition to the technical support and Google Workspace expertise that SADA provided, they also partnered with our project team on the change management strategy. Despite challenges presented by the COVID-19 pandemic, our training team and SADA were able to offer outstanding educational opportunities to assist our workforce in the transition and to get the most out of Google Workspace. This included collaborating on over 240 global webinars in seven languages.
Discovering the power of transformative tools
Discovery has many types of end users, from finance professionals and marketing teams to producers and content developers. The fact that Google Workspace has been well-received across the company is a testament to the power of the solution.
Many of our teams have taken advantage of collaborative Gmail accounts and shared drives, providing them with a centralized location to seamlessly communicate and work together on team-focused projects. Our internal communications team is especially happy with the real-time collaborative editing experience within Docs as they work on company-wide emails, announcements, and other projects.
These collaboration tools have allowed us to stay agile amid global lockdowns and will continue to do so as we adapt to a more flexible working environment.
The value of partnership
While we were comfortable with our legacy collaboration suite, one of the biggest benefits of switching to Google Workspace has been Google Cloud’s and SADA’s partnership. They provide us with regular updates on product roadmaps, upcoming features, and more.
This is just the beginning as we plan to grow, deliver new content, and lead the media and entertainment industry with the help of these two great partners and their solutions.
To learn more about Discovery’s journey with Google Workspace, read the full case study.
The Future of Cloud Computing: Choose Your Own Services and Payment Options
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As the saying goes, “it’s hard to make predictions, especially about the future.” Some organizations find it challenging to predict what cloud resources they’ll need in months or years ahead. Every organization is on its own unique cloud journey. To help, we’re developing new ways for customers to consume and pay for Google Cloud services. We’re doing this by removing barriers to entry, aligning cost to consumption and providing contractual and product flexibility. Read on to learn how we’re rolling out several new go-to-market programs across these key areas to help our customers purchase and consume Google Cloud services more easily.
Removing barriers to entry with Google Cloud Flex Agreements
Many customers choose multi-year commitments because they provide better line-of-sight into IT spend and budgeting. However, these commitments can create difficulty for those who don’t have clear visibility into their future cloud consumption needs. That’s why today we’re launching Flex Agreements, which enable customers to migrate their workloads to the cloud with no up-front commitments. As part of this new licensing option, Google Cloud customers still get access to unique incentives, such as monthly spend discounts1, committed use discounts, cloud credits, and access to professional services, based on monthly spend and workloads migrated to Google Cloud.
Flex Agreements are just one example of how we are removing barriers to help customers start using Google Cloud. In 2022, we launched the Innovators Plus annual subscription, which gives developers a curated toolkit to accelerate their expertise, including access to live and on-demand training through Google Cloud Skills Boost, Google Cloud credits, and more.
We also recently expanded trials for Google Cloud products. For example, the new Spanner free trial instance is good for 90 days, allowing developers to create Google Standard SQL or PostgreSQL databases, explore Spanner capabilities, and prototype applications—with no commitment or contract needed.
Contractual and feature flexibility
Contractual flexibility has always been one of our core principles. Committed Use Discounts (CUDs), for example, provide discounted prices in exchange for a commitment to use a minimum level of resources for a specified term. Last year, we introduced Flexible CUD, spend-based commitments that offer predictable and simple flat-rate discounts that apply across multiple virtual machine families and regions.
In addition to contractual flexibility, our customers also need the flexibility to choose features and functionality based on their stages of cloud adoption and the complexity of their business requirements. Therefore, over the next few quarters, we will launch new product pricing editions—Standard, Enterprise, and Enterprise Plus—in parts of our cloud portfolio. This new commercial packaging model will help give customers more choice and flexibility to optimize their cloud spend.
For customers running workloads such as those in regulated industries like banking and public sector, the higher-end Enterprise Plus tier will offer compute, storage, networking and analytics services with high availability, multi-region support, regional failover and disaster recovery, advanced security, and a broad range of regulatory compliance support. The Enterprise pricing tier will include a broad range of features designed for customers with workloads that demand a high level of scalability, flexibility, and reliability. The Standard pricing tier will offer cost-efficient and easy-to-use managed services that include all essential capabilities such as autoscaling to meet the core workload requirements of customers.
Align costs to consumption with autoscaling
At Google Cloud, a core requirement for the products we build is providing customers industry-leading capabilities to automatically scale (autoscale) services up and down to match capacity with real-time demand. Autoscaling improves uptime, reduces infrastructure costs, and removes the operational burden of managing resources.
Many Google Cloud products include autoscaling capabilities to help customers manage unplanned variations in demand. For example, Dataflow vertical and horizontal autoscaling, in combination with granular adaptive resource configuration (aka “right-fitting”), has resulted in up to 50% saving in infrastructure costs for streaming by automatically choosing the right number of instances required to run the jobs and dynamically re-allocating more or fewer instances during the runtime of jobs. Bigtable also provides native autoscaling capabilities, and Spanner’s autoscale is an open source tool that works across regional and multi-regional Spanner deployments.
Similarly, we added multiple features such as Cluster Autoscaler, Horizontal Pod Autoscaling, Vertical Pod Autoscaling, and Node Auto-Provisioning to GKE for elasticity and cost efficiency.
For L.L.Bean, the ability to quickly scale capacity to meet changing usage patterns (e.g., during the holidays), as well as to rapidly perform load tests to test capacity, are “night and day” with Google Cloud compared to L.L.Bean’s legacy on-premises IT system.
“We won’t have to pay for peak capacity to have it available during peak shopping times. We just scale capacity up or down as needed.” — Randy Dyer, Enterprise Architect, L.L.Bean
We are now taking these capabilities to the next level by enabling autoscaling in BigQuery at a more granular level so you never pay more than what you use. This allows you to provision additional capacity in smaller increments, so you never overprovision and overpay for underutilized capacity. BigQuery customers can now try the new BigQuery autoscaler (currently in public preview) in their Google Cloud console.
A commitment to flexibility and choice
At Google Cloud, we remain deeply committed to the success of our customers and partners, and we are uniquely positioned to help organizations transform their business. By providing you with more flexibility and choice in how to purchase our products, we are empowering you to be more efficient and resilient.
Join Google Data Cloud & AI Summit to hear the latest announcements around innovations in Google Data Cloud for databases, data analytics, business intelligence, and AI. Gain expert insights, new solutions, and strategies that can help you transform customer experiences with modern apps, boost revenue, and reduce costs.
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How Google Meet Keeps Your Video Conferences Secure
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All over the world, businesses, schools and users depend on G Suite to help them stay connected and get work done. Google designs, builds, and operates our products on a secure foundation, aimed at thwarting attacks and providing the protections needed to keep you safe. G Suite and Google Meet are no exception.
Google Meet’s security controls are turned on by default, so that in most cases, organizations and users won’t have to do a thing to ensure the right protections are in place. Here, we’ll summarize the key capabilities of Google Meet that help protect you.
Proactive protections to combat abuse and block hijacking attempts
Google Meet employs an array of counter-abuse protections to keep your meetings safe. These include anti-hijacking measures for both web meetings and dial-ins.
Google Meet makes it difficult to programatically brute force meeting IDs (this is when a malicious individual attempts to guess the ID of a meeting and make an unauthorized attempt to join it) by using codes that are 10 characters long, with 25 characters in the set. We limit the ability of external participants to join a meeting more than 15 minutes in advance, reducing the window in which a brute force attack can even be attempted. External participants cannot join meetings unless they’re on the calendar invite or have been invited by in-domain participants. Otherwise, they must request to join the meeting, and their request must be accepted by a member of the host organization.
In addition, we’re rolling out several features to help schools keep meetings safe and improve the remote learning experiences for teachers and students, including:
- Only meeting creators and calendar owners can mute or remove other participants. This ensures that instructors can’t be removed or muted by student participants.
- Only meeting creators and calendar owners can approve requests to join made by external participants. This means that students can’t allow external participants to join via video, and that external participants can’t join before the instructor.
- Meeting participants can’t rejoin nicknamed meetings once the final participant has left. This means if the instructor is the last person to leave a nicknamed meeting, students can’t join later without the instructor present.
Secure deployment and access controls for admins and end-users
To limit the attack surface and eliminate the need to push out frequent security patches, Google Meet works entirely in your browser. This means we do not require or ask for any plugins or software to be installed if you use Chrome, Firefox, Safari, or Microsoft Edge. On mobile, we recommend that you install the Google Meet app.
To help ensure that only authorized users administer and access Meet services, we support multiple 2-Step Verification options for accounts that are secure and convenient. These include hardware and phone-based security keys and Google prompt. Additionally, Google Meet users can enroll their account in our Advanced Protection Program (APP), which provides our strongest protections available against phishing and account hijacking and is specifically designed for the highest-risk accounts.
For G Suite Enterprise and G Suite for Education customers, we offer Access Transparency, which logs any Google access to Google Meet recordings stored in Drive, along with the reason for the access (support team actions that you might have requested, for example). Customers can also use data regions functionality to store select/covered data of Google Meet recordings in specific regions (i.e. US or Europe).
Secure, compliant, and reliable meeting infrastructure
In Google Meet, all data is encrypted in transit by default between the client and Google for video meetings on a web browser, on the Android and iOS apps, and in meeting rooms with Google meeting room hardware. Meet adheres to IETF security standards for Datagram Transport Layer Security (DTLS) and Secure Real-time Transport Protocol (SRTP). For every person and for every meeting, Meet generates a unique encryption key, which only lives as long as the meeting, is never stored to disk, and is transmitted in an encrypted and secured RPC (remote procedure call) during the meeting setup.
Security is an integral part of all our operations at Google. Our team of full-time security and privacy professionals supports our software engineering and operations to ensure that security is always a part of how we build and run our services. All of our Google Cloud and G Suite customers benefit from these capabilities, including:
- Secure-by-design infrastructure: Google Meet benefits from Google Cloud’s defense-in-depth approach to security, which utilizes the built-in protections and global-private network that Google uses to secure your information and safeguard your privacy.
- Compliance certifications: Our Google Cloud products, including Google Meet, regularly undergo independent verification of their security, privacy, and compliance controls, including validation against standards such as SOC, ISO/IEC 27001/17/18, HITRUST, and FedRAMP. We support your compliance requirements around regulations such as GDPR and HIPAA, as well as COPPA and FERPA for education.
- Incident management: We have a rigorous process for managing data and security incidents that specifies actions, escalations, mitigation, resolution, and notification of any potential incidents impacting customer data.
- Reliability: Google’s network is engineered to accommodate peak demand and handle future growth. Our network is resilient and engineered to accommodate the increased activity we’ve seen on Google Meet.
- Transparency: At Google Cloud, we’re clear about our commitments regarding customer data: we process customer data according to your instructions; we never use customer data for advertising purposes; and we publish the locations of our Google data centers, which are highly available, resilient, and secure.
During COVID-19 and beyond, we will continue to protect Google Meet users and their data, and keep innovating with new features to make our tools helpful, secure, and safe.
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Deep-dive into modern OS architecture built for the cloud
Cloud-based technology–and we all know this–has changed how we work. It has meant that we can work securely from any device, any location, anytime. You can be on a tablet, a phone, a laptop, a desktop, and you get to your work. You can collaborate with others in a really seamless way.
This is something, for those of you that will remember, you know, there was version 12 of the document and you’d send it out to eight people and they’d all give you different revisions and you’d have to somehow merge them together. But now, because it’s in the cloud, and there’s a central place, you can all be collaborating at the same time.
This has really fundamentally changed how fast we work and what happens in challenging times like we’ve been facing for the last several months were working from home didn’t all of a sudden mean you couldn’t do anything. An enormous number of people could continue working if the applications were built for the cloud from the very beginning.
Cloud-native endpoints such as Chrome OS provide the speed, ease of management, and security required as more workloads move to the cloud. This video includes a deep dive into Chrome OS’s multi-layered approach to computing and explores key features that provide differentiated benefits from legacy systems.
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