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Current: Preparing teenagers for financial responsibility
Current is a financial technology company that offers a debit card and app made for teenagers. The app and card give teens hands-on learning with modern financial tools, and connects them with the people, brands, and experiences they value.
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Current uses google kubernetes engine on google cloud to improve time to market for app development by 400% while eliminating downtime for users of its debit card app., google cloud results.
- Improves time to market for app development by 400%
- Eliminates downtime for customers
- Enables deployment of new services in hours versus days
- Reduces total cloud hosting costs by 60%
80% reduction in error resolution time
When it comes to developing good financial habits, it pays to start early. Talking to teens about money and monitoring how they spend it helps set them up for a more financially sound future and can have long-term implications for the rest of their lives.
Instead of handing teens cash, many parents are using Current , a Visa chip debit card and smartphone app that helps teens learn how to budget money. Teens can set savings goals, check their balances, earn money by completing chores, and even give to charity. Parents can set an automated allowance, create and approve chores, and easily track their children’s spending with real-time alerts.
To grow, Current must keep its app secure, reliable, and high performing. As a startup, the company started by developing and hosting its app on a simple infrastructure, managing virtual machines with manual processes. As its user base surpassed 25,000 daily active customers, Current began to notice performance bottlenecks, particularly with the Neo4j graph database it uses to store and expose relationships among users, family members, and their debit cards and connected banks. Running the database on a shared application server made it difficult to measure the cost of the required CPU time and memory footprint. Current also lacked a robust way to log and profile the database.
Current considered using a hosted Neo4j solution, but worried that it would limit its ability to deploy in different availability zones as the company grew. Current was also concerned that a hosted solution would drastically increase costs.
“Since moving to Google Cloud, we’ve been able to sustainably grow our user base 7x to more than 175,000 users, and we haven’t experienced any downtime for our services. We’ve also received a lot of collaboration and support from Google, which we weren’t getting from other cloud providers.”
After a short stint with another cloud provider, Current decided to build its own graph database cluster on Google Cloud . The highly available implementation—including a monitoring agent and backup agent—came in at half the cost of a hosted solution or alternative cloud provider according to Trevor Marshall, Chief Technology Officer at Current. Once the engineering team saw the power and reliability of Google Cloud, Current began exploring deeper integration with Google Cloud services.
“Since moving to Google Cloud, we’ve been able to sustainably grow our user base 7x to more than 175,000 users, and we haven’t experienced any downtime for our services,” says Trevor. “We’ve also received a lot of collaboration and support from Google, which we weren’t getting from other cloud providers.”
Current now hosts most of its applications in Docker containers, including its business-critical GraphQL API, using Google Kubernetes Engine to automate cluster deployment and management of containerized applications while keeping applications available. Container images are stored on Google Container Registry for fast, scalable retrieval. Integrated logging with Google Stackdriver makes it easy to identify issues, and Current can scale up or down as needed to keep performance high and costs low, with zero downtime for users.
“Moving to Google Cloud reduced our error resolution times by 80% and improved our time to market for app development by 400%. We can iterate quickly, find issues, and redeploy. There’s no reason whatsoever to run Kubernetes outside of Google Cloud, because Google does such a good job.”
With a fully managed environment for containerized applications, Current can deploy new services in hours instead of days while keeping its staffing footprint small. When the company does add team members, they can focus on app development instead of managing and troubleshooting infrastructure.
“Moving to Google Cloud reduced our error resolution times by 80% and improved our time to market for app development by 400%,” says Trevor. “We can iterate quickly, find issues, and redeploy. There’s no reason whatsoever to run Kubernetes outside of Google Cloud, because Google does such a good job.”
Current has released a variety of compelling new features since moving to Google Cloud, including a referral program to recruit more customers and an improved notification feed to inspire more conversations about finances between parents and teens. It also restructured its app to highlight users’ favorite features, including a dedicated allowance section and improved chore management. The new app also communicates with Current’s Kubernetes Engine hosted GraphQL API. Current’s use of GraphQL greatly improves performance by minimizing the data that is sent between the app and the backend, and enables Current’s front-end engineers to share code, increasing developer efficiency.
Improving data and network security
As a financial technology company, Current is always focused on providing the highest levels of security for its customers. Google Cloud facilitates the use of encryption to help protect customer data at rest and in transit to help ensure that customer data is safe when outside the physical boundaries not controlled by Google or on behalf of Google.
For publicly accessible applications, Current configures an ingress resource on Kubernetes clusters to make context-aware load balancing decisions. This ingress also provides a reverse proxy function between users and Current's private network. This helps ensure that no external entity can reach Current’s Google Compute Engine instance fleet directly. Google Cloud also provides Current with the means to forward traffic outside of its private without exposing instances to the public Internet. This gives Current the means to utilize other managed services such MongoDB Atlas, while maintaining a trusted platform.
“Security is one of the biggest benefits of Google Cloud and Kubernetes Engine,” says Trevor. “It was easy for us to configure our environment so that we avoid exposing any public IP addresses for our clusters. When we deploy a new service, we have a recipe that observes security best practices.”
“Google Cloud has allowed us to be highly available, scalable, and cost-efficient, helping us grow from an ambitious startup into a financial technology innovator. We’ve built trust with the families we serve because we’ve been able to offer a great experience.”
Powering a digital workforce
When Current was founded in 2015, the company standardized on Google Workspace for communication and collaboration, using tools such as Gmail and Google Docs , Sheets , and Slides to keep productivity high. Google Workspace administration is so easy that Trevor still handles it all, in addition to leading the company’s tech strategy as CTO.
“Our business depends on Google Workspace,” he says. “It’s simple to use, yet feature-rich and very cost effective. Adding new employees takes a couple of minutes, and they can get to work right away. I can’t imagine using anything else.”
Shaping financial futures
By making it easy for teens and parents to manage and talk about money, Current is preparing a new generation to navigate one of the most challenging aspects of adulthood: financial responsibility. The company’s user base is growing by 20% every month with no signs of slowing, and its Android app just began trending on Google Play. Current is also learning to better manage its own finances. “By avoiding the cost of a hosted Neo4j solution and optimizing resource utilization with Kubernetes Engine, we reduced total cloud hosting costs by 60%," adds Trevor.
“Google Cloud has allowed us to be highly available, scalable, and cost-efficient, helping us grow from an ambitious startup into a financial technology innovator,” says Trevor. “We’ve built trust with the families we serve because we’ve been able to offer a great experience.”
Universities and Google Collaborate to Create Google Cloud Platform
Through Internet2 NET+, universities help customize Google Cloud Platform (GCP) service for the academic enterprise and leverage powerful infrastructure to reduce barriers for science and scholarship.
Google Cloud Platform (GCP) has emerged as a key suite of tools to power university infrastructure, research, and teaching. It provides a powerful infrastructure, data analytics, and machine learning to free institutions from the overhead of managing infrastructure, provisioning servers, and configuring networks. But, higher education institutions needed key customizations and enhancements to the service to implement and fully leverage GCP. Through the Internet2 NET+ Program Service Validation process, universities formed a collective voice to work with GCP to customize and enhance the service to meet the data demands of researchers; and the security, scalability, and integration needs of higher education institutions and the extended community.
- Michigan State University (Sponsor)
- Boston University
- Indiana University
- University of Washington
- Washington University of St. Louis
Products & Services
- NET+ Google Cloud Platform
- Internet2 Cloud Connect
- Internet2 Network
- InCommon Federation
- Internet2 NET+ Program
- NET+ GCP Early Adopters Team
- Higher Education Community Vendor Assessment Toolkit (HECVAT)
Cloud solutions have become critical to improve operations, reduce costs, and increase the speed of service delivery at academic institutions. Google Cloud Platform (GCP) has emerged as a key suite of tools to power university infrastructure, research, and teaching. However, without key customizations for the unique needs of the academic enterprise, there were many impediments to institutions adopting, and researchers utilizing this important solution.
“The NET+ GCP service validation process has given Indiana University access to a unique offering. This includes a community of technical resources and a collaborative environment to think strategically on how to design this service offering—something we could not have done on our own. Cloud adoption is essential for our community to stay competitive in the global marketplace. We are excited to provide the GCP toolset to our teaching, learning, and research communities to see where their imaginations can take it.”– Bob Flynn, Manager, Cloud Services, Indiana University
As critical as GCP has become for academic institutions, aspects of the service were developed without a voice from higher education. GCP provides a powerful infrastructure, data analytics, and machine learning to free institutions from the overhead of managing infrastructure, provisioning servers and configuring networks. But “off-the-shelf,” GCP had several barriers to being adopted broadly by higher education institutions
First, GCPneeded help with elements higher education relies on upon, like security and privacy reviews, Internet2 network performance, accessibility, and special business / legal terms.
Further, today’s globally distributed scientific research requires access to data repositories from participating scientists worldwide. Data from experiments all over the world must be accessible to those who need to collaborate. Data egress fees are charges associated with data transfer and are a barrier to scientific collaboration.
For many central IT units and researchers considering the use of public clouds for their workloads, these unpredictable expenses could potentially add up to significant unfunded expenditures in data in/out charges. Particularly, for researchers, these unpredictable fees could be particularly concerning if they are making their research data available to other researchers for download (as is often required by funding agencies). If higher-than-anticipated demand for their data occurs, data egress charges would surpass their budget allocation.
Moreover, for the Internet2 member community, the idea of bandwidth-based charges runs counter to the two decades of investment in building a high-capacity, high-performance R&E network. The Internet2 Network is designed to maintain a sufficiently high level of capacity such that data transport by researchers and internet developers are never constrained by the cost of bandwidth or contention for capacity. So, for Internet2 members, data egress charges were viewed as an impediment to the effective use of cloud services–which are key to developing new applications and workflows that can advance science and scholarship.
The research and education community created Internet2 NET+ to apply a proven community model and leverage collective strength in the development and procurement of cloud services and platforms that serve research and education’s unique needs.
In 2017, peers encouraged GCP to enter the Internet2 NET+ Service Validation process–the rigorous, community-led evaluation that works with industry cloud providers to customize and enhance services for higher education institutions and the extended community. Michigan State University, along with eight other universities evaluated and validated a number of aspects of the GCP offering, with a special eye to addressing the barriers to adoption and developing capabilities specific to the needs of the research and education community. Through the service validation process, GCP worked with the universities to make many important enhancements to their service.
Through testing more than 20 different use cases common to cloud infrastructure the team validated individual service functionality (e.g., deploying Kubernetes clusters, or BigQuery) to the meta-context of how do you structure projects, network, security, and logging to make GCP available to a campus with tens of thousands of users and hundreds of thousands of projects. Cloud infrastructure also has a high degree of complexity in managing costs, funding, and charges. All of these aspects had to be considered when validating and documenting the services.
In 2019, an official service offering was made available through Internet2 NET+ that provided a pre-negotiated, custom contract designed to address the data egress barriers and to provide security, privacy, and accessibility reviews, InCommon identity management integration, Internet2 network performance optimizations, and business/legal terms tailored to the needs of academic institutions.
Also, Google worked with Internet2 and regional infrastructure partners to provide private peering services and direct access to GCP Dedicated Interconnect through the Internet2 Cloud Connect service. Regional and state networks and subscribers to NET+ GCP gain access to over 300 gigabits per second of private peering capabilities with Google Cloud through the Internet2 Network, in addition to resilient national interconnects for private GCP Dedicated Interconnect.
Further, the impediments caused by data egress fees have been resolved. GCP now provides a data egress discount that reduces charges associated with outbound data originating from GCP by up to 15% of an institution’s total monthly spending. For example, if a campus spends $10,000 on Google Cloud Platform in a given month, and $1,500 of that spend is in data egress charges, the campus will only pay $8,500, effectively waiving all egress fees. GCP billing accounts are eligible for the data egress discount if they are registered with the campus and use Internet2 connectivity, Internet2 Connector network, direct peering with Google, or Dedicated Interconnect(s) to route at least 80% of GCP traffic, and use GCP for research and education workloads.
Now, university infrastructures can better support and advance scholarship and collaborative science. Institutions can more easily adopt, access, and use the resilient, secure, community-enabled GCP service — helping to free institutions from the overhead of managing infrastructure, provisioning servers, and configuring networks with the powerful infrastructure, data analytics, and machine learning solution.
Researchers can more predictably and reliably use public clouds for their workloads and make their data available to other researchers without fears that data egress charges would surpass their budget allocation, and enabling greater collaboration to accelerate scientific breakthroughs.
“This is an important milestone for our community. It helps us continue to support our students, faculty, and researchers by providing the technological resources they’ve come to rely on in their everyday work, without the burden of unexpected budget overruns.” — Brendan Guenther, Director for Academic Technology, Michigan State University
Through the unified voice and collaboration of Internet2 members, GCP has now been integrated with capabilities that mirror the fundamental philosophies of the Internet2 community and cyberinfrastructure: high-capacity, high-performance connectivity that never constrains research and development collaboration.
Together, these efforts and solutions are a testament of how the research and education community is able to work together with industry to solve shared technology challenges and provide new platforms to develop applications and workflows that can advance science and scholarship.
Key Aspects of the NET+ GCP offering include:
- GCP Data egress discount for research and education members of Internet2–helping to address egress cost concerns of central IT teams modeling hybrid environments, where data can move between some workloads in the cloud and others remaining on-premise.
- Free deployment and training for Internet2 higher education members
- Provisions addressing compliance with key regulations and standards, including FERPA and SOC2, among others
- Completion of the Higher Education Cloud Vendor Assessment Toolkit (HECVAT) for both GCP and G Suite–ensuring compliance with industry standards and detail authentication, data encryption methods, disaster recovery plans, and demonstrating a commitment to transparency and documenting the strict security protocols built into the infrastructure.
- Community-based pricing discount
- The ability of a campus to use their own authorized software reseller to acquire the NET+ GCP offering
- Free Orbitera cloud billing reporting and analytics, and Business Associates Agreement (BAA) via Carahsoft, a leading IT solutions provider
About the NET+ GCP Program and Early Adopter Team
The NET+ GCP program is managed by an Internet2 program manager with the support of the NET+ GCP Early Adopter Team. The NET+ GCP Early Adopter Team reviews and prioritizes community feature requests on a periodic basis. Feature requests may be submitted to [email protected] and the Team can be contacted at [email protected]
Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider®. As a top-performing GSA Schedule and SEWP contract holder, Carahsoft serves as the Master Government Aggregator™ for many of its best-of-breed technology vendors, supporting an extensive ecosystem of manufacturers, value-added resellers, system integrators and consulting partners committed to helping government agencies select and implement the best solution at the best possible value.
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Learn how Cloud Ace helps businesses take advantage of Google Cloud Cloud Ace has been working in partnership with Google for more than 10 years. Since Day One, it has been our goal to inform businesses about the powerful resources and services provided by Google Cloud Platform and help them take advantage by creating tailored solutions.
We’ve worked together with dozens of clients in Singapore as well as in other APAC countries and engaged in numerous projects, supporting them through consultation, migration, development and in many other ways. Take a look and see for yourself how we work with our customers to help them leverage the power of Google Cloud.
Edia Co.,Ltd.is a company that focuses on mobile content with the corporate vision “SMART MEDIA COMPANY”. With their expansion into new fields, they wished to solve issues during expansion with the help of Cloud Ace’s Customer Success Team.
Software Partner, Inc.
Software Partner Inc. provides software ICT solution to promote business. Software Partner has implemented and utilized Google Cloud for the System Integration (SI) of golfing-related application “Furutoru”, which required to operate securely and more storage.
Is operates Japan's largest gaming advice and information site called "GameWith". The company launched a second site making Japanese Mangas available online on-demand. To do that they used Google Cloud Platform and especially Kubernetes Engine.
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TechValidate Research on Google Cloud
- TechFacts (156)
- Charts (21)
- Case Studies (40)
40 Case Studies – Page 1 of 2
Google Cloud Case Study
Small Business Energy & Utilities Company
This case study of a small business energy & utilities company is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
“Clear centralized infrastructure & service list.”
“I had the pleasure to have quick responses either on a case where I was initially unsatisfied.”
“Easy to use, clear connection between services.”
What challenges did your organization face that factored into your selection of Google Cloud:
- Wanted to make better decisions with their data
- Needed to improve how we connect with our customers
- Needed to improve availability and uptime
- Needed to increase security
- Needed to make our core IT processes more efficient
What Google Cloud features/capabilities have been the most valuable to your organization:
- Ability for teams to connect, create, and collaborate securely
- Enhance security and technical reliability
- Easy integration with Google’s broad consumer ecosystem of devices and services (Android, Maps, Gmail, Meet, Assistant, YouTube)
They saw a return on their investment in Google Cloud 12+ months.
The company featured in this case study asked to have its name publicly blinded because publicly endorsing vendors is against their policies.
TechValidate stands behind the authenticity of this data.
Company Size: Small Business
Industry: Energy & Utilities
About Google Cloud
Google Cloud provides organizations with leading infrastructure, platform capabilities, and industry solutions to help them solve their most critical business problems.
Small Business Financial Services Company
This case study of a small business financial services company is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
“We were able to enhance our security and efficiency through managed services.”
“Very competent, dedicated, and friendly customer service.”
- Were unhappy with existing cloud solution
- Advancing our digital transformation agenda
- Finding IT cost savings
- They saw a return on their investment in Google Cloud within 1-6 months.
Industry: Financial Services
Small Business Computer Software Company
This case study of a small business computer software company is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
“Ease of use, great documentation, good support, price comparison vs. other platforms.”
- Needed to drive a transformation of our business using the cloud
What Google Cloud features/capabilities have been the most valuable to your organization?
They are very excited and want to learn more.
Industry: Computer Software
Small Business Healthcare Company
This case study of a small business healthcare company is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
“Google Cloud is strong in Flexibility, availability, and scalability of AI Resources (Vertex AI).”
“Our KAM is excellent. Technical support has been proven very useful as well.”
“Easy to use, easy to start, and great support both commercial and technical.”
- Using AI to improve decision making
They saw a return on their investment in Google Cloud within the first year.
This case study of Helio AG is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
- Needed to reduce costs
- Centralizing data to gain new efficiencies and opportunities
Company: Helio AG
Small Business Service Provider Company in the area of e-Commerce
This case study of a small business service provider company is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
“These are the advantages of Google Cloud: Easy scalability Easy onboarding of new customers Good support by engineers and co”
“Furthermore, the platform is very stable and state of the art.”
The business challenges that led the profiled company to evaluate and ultimately select Google Cloud:
Google Cloud features and capabilities that have been the most valuable to the organization:
The surveyed company achieved the following results with Google Cloud:
Industry: Service Provider
This case study of karriere.at is based on a November 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“Google Cloud made us rethink how software development can be done.”
“It’s a joy to work with the Google team no matter if we collaborate face to face during a workshop or a remote meeting.”
“We are very happy with the developer experience and the usability of the Google Cloud Console.”
- Unhappy with existing hosting solution
The key features and functionalities of Google Cloud that have been most valuable to the organization:
- Better IT security
- Enhancement in technical reliability
- Better integration with other Google tools
They are willing to explore sharing their story with us.
Company Size: Medium Enterprise
Industry: Consumer Services
This case study of NetGuardians is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“Google Cloud has a very skilled and friendly team of professionals.”
“Since using Google Cloud, we have gained the ability to provide our solution as SaaS to our clients.”
“Really interesting and flexible programs, providing us support from Google experts to help us in our cloud journey.”
What challenges did your organization face that factored into your selection of Google Cloud?
“SaaSification” of our product and with that better scalability; increase of security and reliability.
Decagon Solutions / Russmedia
This case study of Decagon Solutions / Russmedia is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“High availability, stability, and better monitoring.” “Very professional.” “A one-stop shop, with flexibility, innovation, and competitive.”
- Creating improved customer interactions and experiences
Company: Decagon Solutions / Russmedia
Industry: Media & Entertainment
This case study of Parashift is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“The Google Cloud Team is awesome. GCP is the most advanced cloud.”
Our solution became more data-driven and secure.
Company Size: Large Enterprise
This case study of Ledgy is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“We love the Google Cloud product. It’s easy and intuitive to use and it provides us with the scalable infrastructure we need on a pay-as-you-go basis.”
“It’s been a pleasure to work with Silvana and the team at Google! The team is very professional and we have received very interesting materials and joined helpful webinars/ trainings from Google (in particular one on LLMs).”
“We also really love Colab – such an easy but powerful product to use. It makes Python Notebooks really competitive against GSheet for quick and dirty analysis, but as well as for more robust internal applications.”
- Wanted to make better decisions with our data
“We have centralized our data infrastructure in BigQuery and our Business Intelligence runs on Looker.”
- Using AI to improve decision-making
This case study of DIGANDO is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“Very flexible configurations and scalability, acceptable and transparent pricing, good support by resellers.”
“Very good experience with Armin Müllner, interesting updates in newsletters.”
- Were unhappy with their existing cloud solution
This case study of MED-EL is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“Participating a few years ago in Google Cloud’s acceleration program was a transformative experience for MED-EL. The in-depth workshops and mentorship provided by their expert team not only enhanced our cloud capabilities but also sparked innovative thinking. As a result, a groundbreaking idea for a new system emerged, setting the stage for our next phase of growth and technological advancement.”
“I would be quite likely to recommend Google Cloud to a friend or colleague, especially if their project requirements align with the services offered by GCP. GCP excels in data analytics, machine learning, and open-source technologies, offering a robust set of tools, where we rely on TensorFlow for machine learning, and Kubernetes for container orchestration. The platform is known for its high scalability and performance, as well as its integration with other Google services. Additionally, its pricing model is competitive. Overall, GCP provides a comprehensive, user-friendly environment that can meet a wide range of cloud computing needs.”
“Since transitioning to Google Cloud, our group working with GCP has experienced several notable benefits that have positively impacted our operational efficiency and innovation capabilities. First, the scalability offered by Google Cloud has allowed us to easily adjust our resources in real time to meet fluctuating demand, thereby optimizing costs. Second, Google Cloud’s emphasis on security, including features like Identity and Access Management (IAM) and encryption-at-rest, has fortified our data protection measures. Lastly, the seamless integration with other Google services has facilitated more cohesive and efficient collaboration among team members. Overall, Google Cloud has not only enhanced our technical infrastructure but also fostered a more agile and data-driven organizational culture.”
This case study of Aequitec AG is based on an October 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“We are very happy with the support of the Google Cloud team. Very responsive and supportive, eager to learn with us and to push us as a customer forward. Greatly appreciated!”
“Large suite of service licenses.”
They are ready and willing to explore sharing their story with us.
Company: Aequitec AG
This case study of Elastic is based on a July 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“This past year we put a focus on leveraging the Google Cloud Marketplace to expand the reach of our cloud offering and make the purchase process easier for our customers. By doing so we not only increased the number of deals driven by marketplace transactions but also experienced an increase in our average deal size.” Laurent Mechain, VP, Head of Strategic Alliances, Elastic.
We launched Elastic Cloud on GCP Marketplace in Oct 2019. This allowed more companies to discover Elastic for the first time and to be able to get started quickly by simplifying the procurement and deployment processes. Over the last four years, we have seen exponential growth as we have incorporated many of the new features of the GCP Marketplace to enhance the overall experience both for the customer as well as for each of our sales teams. Today we view GCP Marketplace as our primary channel for customers to procure Elastic Cloud on GCP, with a strong majority of our Elastic Cloud on GCP transactions going through the Marketplace."
General GTM outcomes
Which of the following general GTM outcomes has Marketplace driven for you?
- Unlock a new sales channel
- Improve discovery of your solution
- Drive greater awareness of your solution
- Simplify contracting and procurement
- Simplify solution deployment
Which of the following deal-specific outcomes has Marketplace driven for you?
- Increase deal size
- Close deals faster
- Increase deal win rate
- Increase customer retention
- Drive cross-sell
- Drives faster customer adoption
As a result of selling through Google Cloud Marketplace, which of the following have occurred?
- A deepened relationship with Google Cloud
- Increased engagement with Google sellers
- Increase Google-sourced opportunities
- Had Google sellers introduce them to additional decision-makers and influencers
- Google FSRs provide account intelligence and insights
- Google Customer Engineers provide technical insights and recommendations
This case study of Priceline is based on a March 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“From a data perspective, we have successfully implemented real-time data processing pipelines, Brought in significant security for our data layer, and implemented a fully scalable data fabric layer. We have been successful in creating an enriched data layer that serves as the foundation for our recommendation pipelines. Last but not least we have achieved some significant cost-saving opportunities around storage and compute.”
“Google Cloud provides virtually unlimited scalability, and robust infrastructure that provides high availability and reliability. It is also a powerful and flexible cloud platform that can help you scale your business, improve your security, and reduce your infrastructure costs. We have leveraged GCP to build our large-scale real-time data processing pipeline that powers our anomaly detection and real-time recommendations engines. Also, the recent rollout of GCP insights is a huge value add for us.”
“The Infrastructure scalability and data platform efficiencies are great. Also, there is a lot of flexibility with how we can develop solutions.”
Prior to Google Cloud, they used On-premise.
How is your organization using Google Cloud?
- To manage, analyze, and organize our data
- To improve customer experience and intelligence
- To drive cost savings
- To advance our innovation agenda
- To improve security
What benefits has your organization experienced since using Google Cloud?
- We produce valuable data insights faster
- We have increased access to data for better real-time decisions
- Increased security of our data, our teams, and for our customers
- Improvements in our migration and modernization strategies
- They saw a return on their investment in Google Cloud immediately.
Rated Google Cloud on the following compared to other cloud solutions:
- Data Analytics: Significantly better
- Multicloud: Better
- Reliability/Uptime: Superior
- IT Security: Superior
- Collaboration: Better
- Sustainability: Superior
- Innovation: Superior
This case study of a small business healthcare company is based on a March 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
- Need to reduce costs
- Need to improve how we connect with our customers/patients
- Need to increase security
- We were unhappy with the existing cloud solution
Prior to Google Cloud, they used Microsoft Azure.
How is your organization using Google Cloud:
- Drive cost savings
- Improve security
- The ability for teams to connect, create, and collaborate securely
- The enhancement of security and technical reliability
- They would be willing to serve as an external reference.
Quotient Technology Inc
This case study of Quotient Technology Inc is based on a March 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“One of Quotient Technology’s initiatives is to consolidate all applications across the organization into Google Cloud Platform. We migrated Quotient’s proprietary data and analytics capabilities that enable advertisers and retailers to plan and measure media or promotions campaigns into Google Cloud Platform to improve scale and efficiency. We also implemented highly targetable audience solutions and segmentation processes in GCP and Big Query data warehouse. All of these give CPG advertisers an integrated solution to targeting, measuring, and optimizing digital campaigns that drive results.”
“We created an enterprise data warehouse with 2PB of data in google big query which has exceeded our customers’ requirements. Failures and performance issues in data processing pipelines have been reduced, resulting in increased data reliability. This migration reduced data movement from one system to another. This also enabled all the teams to get required data access within the same environment quickly and efficiently. We have configured our data warehouse in multi-zone & multi-region data centers which is automatically providing redundant backups & disaster recovery setup. This ensures that data is safe and secure and can be recovered easily in the event of disaster. This also helped us to focus more on innovation with reduction on support overhead.”
“We achieved a good amount of cost savings in data warehouse storage and compute using Google virtual CPU slot reservations and GCP Infrastructure for hosting our custom applications. Slot approach dynamically manages resource allocations, enabled us to share idle slots within different teams, and helped us to utilize idle slots efficiently. Google Kubernetes containerization of reporting applications enabled us to optimize scaling and increased efficiency. We have also deployed a self-service reporting platform and data services using GCP Servers, Redis cache, and Big Query data warehouse. In GCP environment, In memory, daily data refresh for reporting is on time ensuring data freshness to our customers. Consolidation into GCP platform also enabled us to explore data mesh architecture. We have started utilization of data catalog features to define business and technical metadata and make the data easily searchable for end users. We have plans to explore Google ML stack for different uses cases.”
Prior to Google Cloud, they used Snowflake & Microsoft Azure.
- Manage, analyze, and organize our data
- Improve customer experience and intelligence
- Advance our innovation agenda
- Improve team collaboration
Company: Quotient Technology Inc
Industry: Consumer Products
Small Business Professional Services Company
This case study of a small business professional services company is based on a March 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
Benefits achieved with Google Cloud:
“Elasticity, use only what is needed with no upfront commit. Turnkey access to a wide range of services.”
Why Google Cloud?
“Mainly the ability to provision only as much compute as needed, and always take advantage of the latest CPU architectures.”
- We needed to drive a transformation of our business using the cloud
- They would not be willing to serve as an external reference.
Industry: Professional Services
Innovative autonomous driving and robotics company
This case study of a medium enterprise automotive & transport company is based on a March 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
“[With Google Cloud] We have saved engineering resources needed to manage the infrastructure, and experienced cost saving with better utilization and better reliability compared to on-premise solutions.”
- To improve team collaboration
Our developers leverage Google Cloud’s open platform to increase speed and efficiency.
- We have transformed how our team members connect, create, and collaborate
Industry: Automotive & Transport
Large Enterprise Retail Company
This case study of a large enterprise retail company is based on a March 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
“We experienced improved uptime, an easier and rich integration experience, and overall its been a strong partnership to guide our thinking.”
I feel the emphasis on developer experience, the partnership with the team at last, and the quality of the product.
- They saw a return on their investment in Google Cloud within 7-12 months.
Large Enterprise Satellite & Logistics Data Services Company
This case study is based on a February 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
Time to market has reduced from 3 months to 2 weeks Release deployment time has reduced from 7 days to 18 mins Infrastructure provisioning has been reduced from 1 month to a few minutes With blue-green implementation, Tech refresh cycles have reduced from 6 months to 6 weeks (Dev to Staging to Prod) Business agility has increased by 3x with the ability to roll out microservices at scale 20% reduction on cost by elimination of 3rd party license software.
- Constant hardware refresh and every time being forced to upgrade/patch platforms
The key features and functionalities of Google Cloud that the surveyed company uses:
- Moving our datacenter to cloud in the most efficient, secure and optimized manner
- Our developers leverage Google Cloud’s open platform to increase speed and efficiency
Industry: Telecommunications Services
This case study of Adlucent is based on a February 2023 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“Ability to connect multiple disparate data sources easily and use that data for machine learning.”
“After migrating from on-premise we see close to 20% and cost savings and we are able to monetize the machine learning capabilities of cloud to add an incremental $2M in revenue to our business.”
“As a media agency, so much of the data we need to interact with is already within Google. So connecting multiple data sets and combining it into BigQuery just makes sense and decreases cost of having egress charges or other connectivity challenges. Add to this the ability to use BigQuery ML and vertex AI to create predictive models and run parallel processing on data at scale with cloud functions and we can drive massive performance improvements to paid media and marketing programs.”
Industry: Marketing & Advertising
Akash Samaddar, Tata Consultancy Services
This case study of Tata Consultancy Services is based on a December 2022 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“During Google Cloud Skills Boost course and labs, I learned many concepts new to me that have helped in my current role.”
“A few of the labs were tough but after two or three attempts I was successful.”
They wanted to become Google Cloud certified to:
- Develop the skills needed to be successful in my current role.
- Develop and “future-proof” my skill set.
- Grow into a new role within my current organization.
They said it took them 1 to 3 months to achieve their Google Cloud certification.
Advice For Others
“Try to understand and complete all the courses, labs, and quests before appearing for the certification exam. It helps.”
- They view their Google Cloud certification as a significant achievement.
Company: Tata Consultancy Services
Company Size: Global 500
Industry: Computer Services
This case study of a medium enterprise retail company is based on a November 2022 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
“GKE Autopilot makes it super easy to get started with a Kubernetes cluster. Autopilot heavily reduced the onboarding and maintenance effort for our teams.”
“We are able to run a global platform without needing a dedicated Kubernetes infrastructure team or FTEs.”
- GKE Autopilot has enabled myself or my team to spend less time managing my Kubernetes clusters: agree
- My containers run and perform well on GKE Autopilot: agree
- My overall total cost of ownership is improved by using GKE Autopilot: agree
- Perform stateless functions or APIs
- For batch jobs, ad-hoc data processing
- For websites, and commerce
- To run open-source projects (Redis, kafka, etc.)
- Reduced total cost of ownership (TCO)
- Spent less time administering Kubernetes
Electronic Medical Records software company
This case study of Instoll is based on a November 2022 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“I was totally a newbie on Kubernetes and GCP ecosystem. Learning Kubernetes was a tough challenge, but Autopilot made it easy.”
“We started from GKE self-managed nodes because we thought it is more customizable and cost optimizable, but soon switched to Autopilot to reduce complexity”
“GKE Autopilot solved every headache to provision our apps. It is easy to start, easy to scale, with automated cluster update.”
“GKE Autopilot is my preferred choice when running production containers.”
- GKE Autopilot has enabled myself or my team to spend less time managing my Kubernetes clusters: strongly agree
- My containers run and perform well on GKE Autopilot: strongly agree
- My overall total cost of ownership is improved by using GKE Autopilot: strongly agree
- Improved app reliability
- Achieved a better security posture
Computer Software Company
This case study of a small business computer software company is based on a November 2022 survey of Google Cloud customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
“GKE Autopilot is clearly ahead of the competition when it comes to just having reliable Kubernetes as a service.”
- Run stateless functions or APIs
This case study of TheLogically Ltd is based on a November 2022 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“The TCO savings have been good, such as time reduction of administering GKE cluster has helped the DevOps team immensely. This has also resulted in increasing the efficiency of the team as the DevOps team can focus on other critical activities. "
“GKE Autopilot automatically adjusts the requirement of nodes in the cluster based on the load. This makes the task of managing workloads effective and efficient for Developers along with their DevOps counterparts, which helps us keep costs under control while providing additional failover.”
- Run statefulsets and databases
- Run stateless functions and APIs
- For AI/ML/GPU workloads
- Easier time getting upgrades from upstream open source
Company: TheLogically Ltd.
This case study of Teamwork Commerce is based on an August 2022 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“As a first step, migration to Google Cloud allowed us to reduce cost and maintenance burden.
As a second step, having our system in Google Cloud allowed us to integrate with many Google Cloud services (BigQuery for example) to bring new features to our Customers.
Finally, leveraging cloud-native ways of building applications (GKE for example) we were able to more easily and cost-efficiently achieve scalability and high availability."
- Prior to Google Cloud, they used Synoptek.
- Data Analytics: Superior
- Multicloud: Significantly better
- Reliability/Uptime: Better
- IT Security: Significantly better
- Ease of Use: Better
- Sustainability: Significantly better
- Innovation: Significantly better
Company: Teamwork Commerce
This case study of Broadcom Inc. is based on a July 2022 survey of Google Cloud customers by TechValidate, a 3rd-party research service.
“Was able to modernize our SaaS workload, able to scale quickly, improve margins, and provide a more secure environment for our customers to run their mission-critical operations.”
“Best Platform to extract value, great partnership with top-class talent.”
Flexible, and focused on a long-term partnership."
Prior to Google Cloud, they used Amazon Web Services (AWS).
- Reliability/Uptime: Significantly better
- Collaboration: Significantly better
- Ease of Use: Superior
Company: Broadcom Inc.
Company Size: S&P 500
More Research on Google Cloud
- Google Classroom
- Google Workspace Admin
- Google Cloud
City College of New York students get hands-on experience with the cloud
Rather than allocating limited resources to build new infrastructure, City College of New York looked to Google Cloud to help teach open-source technologies such as virtualization and containers. Now their students have valuable, hands-on training before entering the field of computer science.
Computer science (CS) departments need to provide education and training in the latest technologies used in the workplace, which these days means the cloud and related technologies like virtualization. However, most universities don’t have the resources to build out new infrastructure to support these technologies, and the pace of change is so rapid that keeping up with the latest platforms, tools and languages is almost impossible.
At City College of New York (CCNY), the faculty wanted to provide students with hands on experience with virtualization, containers and other cloud technologies, which were not well addressed in their current textbooks and other course materials. CCNY needed a new strategy that would allow it to keep pace with the latest developments in computing in a way that was both affordable and practical.
“Many CS programs tend to be rather theoretical and traditional in their approaches to core data structures, algorithms and operating systems,” says Peter Barnett, Adjunct Associate Computer Science professor at CCNY. “It’s important to get students to ‘bend their minds outward.’ We need to provide a visionary education for students to be well-rounded computer scientists.”
Building a comprehensive CS education with the help of Google Cloud
Barnett was referred to Google Cloud Education Grants by Lindsay Siegel, executive director of the Zahn Innovation Center, an incubator at CCNY that includes a startup bootcamp, mentorship, pro-bono services and rapid prototyping facilities.
When Barnett first introduced Google Cloud to his class, he gave his students an exercise to get them thinking about how cloud platforms implement features of traditional operating systems and application servers. They were asked to consider the question “Where are you?”—a container or virtual machine? How can you tell if you’re on a particular server or a cluster of distributed machines?
Students were given the choice of working with Google Cloud or another cloud technology provider. For the many who chose Google Cloud, Barnett said they found the tutorials intuitive, making it easy to begin importing data and building applications. They had support from the Google Cloud team and from CCNY’s own professors if they ran into any problems getting projects up and running.
Some students worked with Google App Engine and explored how containers worked, while others chose one of the tutorials for building an app in Google Compute Engine. All the students figured out how to explore their virtual machine (VM) or container environments using Linux commands, and explored their database backends with SQL commands.
Encouraging students to think like engineers
By immersing themselves in the cloud platform, students were encouraged to think conceptually about the cloud and to understand that, even in the cloud, they are still using actual hardware. They read articles, watched tutorials and experimented with what they could do inside and outside of containers. They took note of memory and CPU usage and learned about how virtual storage is provided and how their IP addresses are obtained.
Three students—Nissan, James and Michael—went beyond the minimum requirements of creating a sample application. “They imported their own repositories and built their own applications. It worked nicely, and they came away with a good impression of how Google operates as a working environment,” Barnett says.
Understanding why and how
When students are encouraged to ask their own questions, they discover far more about a topic. During some of their exercises, students noted how long an application took to respond based on its location—the U.K. or the U.S. This required them to think further about where the physical compute resources were located. One student implemented Google Cloud’s MySQL database in his Cloud project, and explored it to understand where the system files were stored.
Barnett encouraged his class to learn about the cloud technologies that most interested them. Some students explored using Kubernetes to manage containers, while others experimented with load balancing in MongoDB. Students then shared their experiences with one another to better understand a range of environments.
"Students aren’t going to be working on hard metal servers. The cloud isn’t just the future; it’s the present." Peter Barnett , Adjunct Associate Computer Science Professor, City College of New York
Beyond the demo
Students in Professor Barnett’s Senior Project capstone course at CCNY are currently using Google Cloud to implement the backend portion of serious software projects with significant scientific, social and entrepreneurial potential.
His five teams’ projects include: using machine learning to advance the optical character recognition of handwriting; assisting trainers, physical therapists and their clients in developing and maintaining correct form in exercise; enhancing patent search using content analytics combined with machine learning; interior mapping of subway stations and other public places to assist visually impaired people navigate the spaces; and generating quasi-random music with AI that changes in response to user feedback.
Most of these projects use AI in the form of content analytics and machine learning, and Google Cloud provides a robust set of APIs such as ML-Engine and BigQuery to support them. The Google for Education team provided generous grants of time on Google Cloud to each of Barnett’s teams to facilitate their development and testing, which is currently under way.
Providing a real-world experience
To be successful computer scientists, students need to learn both the theory and practical applications of the tools used in today’s workplace. Cloud services such as Google Cloud give CCNY access to state of the art developer tools and large-scale cloud infrastructure without requiring a huge up-front investment. Students can learn how to work with many languages and cloud platforms, including Python, Ruby, Sinatra and Google Cloud. These tools and languages would be out of reach for many schools, whose limited resources prevent them offering such a variety of technologies to explore. Google Cloud provides an affordable way to offer access to modern computing environments in a way that can scale to serve the needs of all students and departments.
“The cloud environment is the modern manifestation of the operating system,” Barnett says. “Students aren’t going to be working on hard metal servers. The cloud isn’t just the future; it’s the present.”
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Google Cloud Platform Case Study
Brief – what did the client need.
Client, a Tier1 Bank, wanted to expand a GCP trial phase into a larger scope of works. Existing consultancy cloud teams were primarily AWS and Azure focused. Consultancy wished to use this GCP project as a template to become a leading Google Cloud Partner in the UK. Existing staff had been enrolled in partner training and associate development but key skill gaps still existed. Teams had to be on boarded by Q end to ensure phase 1 project milestones were successfully closed.
Strategy – What was the plan?
Osmii was introduced to the new team via existing relations with the Consultancy. After meeting with management and understanding the scope, an advertising campaign was launched online via social media channels, and importantly pushed via existing Osmii GCP associate network. Osmii, being a GCP Services partner, held existing networks in the UK GCP scene and these were to be quickly and effectively utilised. A three stage interview process was set, with an in-depth, project specific, GCP focused screening at stage 1. Planned to look at the contract market after initial search as concern that the permanent candidate pool would not support all 4 x GCP SME hires.
Results / Summary
Four hires completed on time and under budget with GCP subject matter experts in all roles.
Surplus profiles received and interviewed with a view to fast track for phase 2 hires. All hires closed as full time permanent appointments. No need for secondary contract hires. Key with closing permanent hires turned out to be the strength / scope of the client project. Communicating select project details to candidate pool, with this being a “go live project”, not a test case, in an emerging space was a high draw.
Osmii & Google Cloud
This project was the latest in many GCP cloud projects Osmii is helping our clients to deploy. Osmii is a Google Cloud Services Partner and our understanding of the technical ecosystem helps our clients win and deliver digital transformation solutions with Google Cloud technologies embedded at their core.
By combining our Google Partner Network, 10 year’s experience in recruiting, and specialist domain expertise, we are uniquely positioned to help our clients to make the right hiring decisions while adopting and delivering next-gen technology projects.
For more information about our work with GCP please contact [email protected]
Client Type: Cloud
2 x GCP Developers
2 x GCP Architects
Brand: Consultancy / Tier 1 Bank
Company Size: 10,000 +
Location of project: UK
Delivery Method: Contingent Permanent
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Last edited: 28 September 2023 11:56 am