Kohl’s is an omnichannel retailer focused on driving traffic, operational efficiency and delivering seamless omnichannel customer experiences.

Ratnakar Lavu is Kohl’s Senior Executive Vice President and Chief Technology Officer. He, and Kohl’s, are at the forefront of retail technology innovation, focusing on a frictionless customer journey across digital, mobile and more than 1,150 stores.

As part of this journey to more closely unify its online and offline experiences for customers, the company was looking for supporting cloud services that would continue to drive  best-in-class data center infrastructure; the ability to manage data at a very large scale; and industry leading analytics and machine learning tools to continually understand real time data streams and help personalize experiences for their customers.

Kohl’s recognized the opportunity to take on a cloud partner to help drive the improvement of the speed and reliability of their operations, while they focused on a number of innovations to deepen customer experiences.

“At the time, I was looking for an open and scalable platform to partner with our Kohl’s technology team as we transform our business by shifting to the cloud,” says Ratnakar.

“Google has great engineering talent as well as demonstrated experience solving stability and scale in its own Ads and Search business. At Kohl’s, we need to be bold and innovative in today’s retail environment, and therefore need partners who deeply understand how to manage risk.” 

Kohl’s leveraged several capabilities of Google Cloud. For example:

• They built applications to automate deployment, scaling and operations.
• They used monitoring capabilities to monitor for things like response time.
• Scalable technology provided an infrastructure to elastically scale to site traffic.
• They ran their infrastructure across multiple regions for high availability.

In 2017 and 2018, record-setting numbers of customers visited Kohls.com during the Thanksgiving holiday weekend and the digital platform experienced high double-digit growth both years.

The capabilities provided by Google Cloud Platform (GCP) and Google’s data center infrastructure supported Kohl’s servers and systems during these key timeframes.

In addition, the Kohl’s team partnered together with Google’s core engineering team and services organization to optimize applications and make them more reliable.

Google Cloud’s Customer Reliability Engineers (CREs) worked with them in advance of their peak time frames to test the infrastructure for performance, scaling, and fault tolerance.

“Google CRE and services teams collaborated with us as we ran drills and exercises during each phase of preparation for peak time frames,” Ratnakar said. “As we continued to understand better how to scale, monitor, and support our applications in GCP and we are pleased that we worked with the CRE team as partners on monitoring services, alerting teams, and triaging work.”

San José is one of the most diverse U.S. cities, with residents speaking more than 100 languages. Several years ago, we set out to improve city community interactions through more equitable service management and delivery. This demanded a new approach to automating the intake of requests from a majority population whose first language is not English.

We first created the 311 portal and app, which was an important step as we effectively separated resident service requests from emergencies. The way we describe it to our citizens, you call 311 for a burning question, and 911 for a burning building. In the last fiscal year, San José 311 received nearly 210,000 contacts by phone and an additional 211,000 service requests through the SJ 311 app. 

Through the portal and app, we gave citizens an omnichannel experience enabling them to interact with the city to request improvements, access useful information, and get emergency help when they need it. 

In order to truly serve our diverse communities, we recognized language translation services would be required to offer truly equitable services to everyone. That’s when we started working closely with SpringML, Google Cloud, and other partners with involvement from our Mayor and City CIO.

Building public services with community engagement in mind

When we first rolled out the My San José website and mobile app, we used an out-of-the-box translation service that ended up not working. It had poor accuracy and did not meet our needs to provide all citizens with coherent services. After looking at many other options, we decided to partner with SpringML and Google Cloud to leverage the AutoML Translation with other technologies such as our virtual agent.

SpringML was selected through an open RFP process, and helped us to build and optimize our integrations, interfaces, and more between several systems, making the app and website more intuitive to manage. SpringML delivered the product we needed on time and up to specifications, and additional value came from the training sessions they provided to our team. This enabled us to understand everything we could do with AutoML and opened the door to other enhancements such as simplifying the vernacular used with our residents, making government access easier to navigate regardless of natural language spoken. 

After establishing the My San José app’s translation capabilities using AutoML, SpringML also helped us incorporate Dialogflow virtual agents. Dialogflow also positions us to make modifications with our own staffing practices – something that has become increasingly important amid the frequent changes in service levels from COVID-19 response in the past year.

Responding to community needs

With the app up-and-running, our next step was to bring in community members to help with testing, improvements, and more. We wanted the app and the website to not just be something we provided to the community, but rather something they helped us build so they would readily adopt it.

Thanks to the greater accuracy of translation supported by Google Cloud services, we were able to leverage the expertise of a small pool of community members to evaluate translations. AutoML Translation and Glossary proved to be a powerful combination that pushed us closer to our goals. 

Our primary targets were Spanish and Vietnamese translations. We are now seeing 90 percent accuracy in automated Spanish translations while Vietnamese translations continue to improve. We continue to work to simplify the language used in these services, which makes a big difference in terms of ensuring optimal language accessibility.

This work includes best serving our community members who primarily use phones to get in touch with us through 311 services. Using Google Cloud Contact Center AI, we have been able to effectively manage the calls we receive 24×7 and communicate with residents who speak Spanish as well as English. No matter which channel one of our residents choose to use to reach out, we can serve them efficiently. 

A well-timed release

We’re proud of the work we’ve done. We’ve made many government services available to our community 24 hours a day, 7 days a week — accessible through many channels. Regardless of a person’s native language, the consistency of experiences enjoyed by everyone is improving every day thanks to AI. We’re also actively incorporating more language translation capabilities to better serve more people.

While we began this process several years ago, the recent integration of machine learning language translation with our customer relationship management system in late 2020 was very well-timed because we were able to incorporate this into our COVID-19 pandemic response. 

We’re also beginning to work with other municipalities across the U.S. to share some of the lessons we’ve learned and success we’ve seen in hopes of furthering more equitable citizen services far beyond our City limits. 

We are excited to continue working with SpringML, Google Cloud, and other partners to improve our city and the equity and quality of services that our residents enjoy.

Learn more about how you can work with a Google Cloud Partner here.

Like countless other industries, farming is going digital and undergoing big changes—driven by access to more actionable information. The agriculture business can now gather and analyze georeferenced data from satellites, combined with data from IoT sensors in fields, crop rotation and yield histories, weather patterns, seed genotypes and soil composition to help increase the quantity and quality of crops.

This is essential for businesses in the agriculture industry, but it’s also critical to address growing food shortages around the world. 

At S4, we create technology to de-risk crop production. We provide customers seeking agricultural risk management solutions with the tools to make better, data-driven decisions for their crop planning, based on machine learning and proprietary algorithms.

We interpret plant evolution on a global scale with predictive modeling and analytics, and offer super-efficient risk-transferring solutions. Our multi-cloud platform includes a petabyte-scale database, an open source stack, and—after 50 proof-of-concept evaluations—BigQuery for our data warehouse and the Cloud SQL database service to handle OLTP queries to our PostgreSQL database.

These PoCs included, among others, Microsoft Azure Data Lake Analytics, IBM Netezza, Postgres/PostGIS running on IBM bare-metal servers with SATA SSDs and on Google’s Compute Engine with NVMe disks, and on-premises memSQL, CitusData and Yandex ClickHouse. 

Weeding out risk in an uncertain market

According to recent research, climate extreme events like drought, heat waves, and heavy precipitation are responsible for 18-43% of global variation in crop yields for maize, spring wheat, rice, and soybeans. This is a clear trend for other crops as well. Such variation poses risks of food shortages as well as large financial risks to farmers, insurers, and regions dependent on successful crop yields. Also, it creates vast humanitarian difficulties.

Our mission at S4 is to help de-risk crop production by matching the right data with analytics tools so farmers and other participants in the agricultural value chain can plan better, resulting in more reliable food supplies.

In a nutshell, we create indices out of biological assets. These indices measure yield losses on crops that are caused by the effects of weather and other factors, which are then used as underlying assets for products, such as swap/derivative contracts and parametric insurance policies, to transfer risk to the financial markets.

We enable insurers and lenders to buy and sell agricultural risks through the futures market. Also, our other products help farmers and seed and fertilizer companies provide customized genotype recommendations and fertilization requirements. This helps to optimize planting by geography, resources, and crop species, monitor phenological, pests and humidity evolution throughout the crop season, and estimate yields.

Local communities benefit from S4’s technology, as the ability to manage weather risks allows farmers to stabilize their cash flows, invest more to produce more with fewer risks, and develop in a more sustainable manner.

Growing data sources, reducing costs, accelerating performance

With the volume of diverse data sources and analytical complexity both growing at a very fast pace, we decided that using a major cloud services provider with a broad roadmap and global partnerships would be beneficial to S4’s future evolution.

At the same time, we wanted to bring our services to users faster and cut costs by consolidating our on-premises technology stack. When we started evaluating providers, our leading criteria included a powerful geospatial database and data analytics tools along with excellent support, all at a competitive price. GCP prevailed in nearly all criteria categories among the 50 companies we measured. 

Our previous platform architecture included a hybrid relational database that used Compute Engine for virtual machines and Cloud Storage for database backup. The RDBMS was slow. Maintaining our own data warehouse was complex and expensive.

We wanted to use machine learning and neural networks, but couldn’t do so easily and affordably. The complexity of that system meant that products or services requiring small changes or additions to the data model translated to expensive expansions of infrastructure or project time.

Also, agronomical or product teams couldn’t test these changes by themselves, always requiring the intervention on no small part of the IT team, which led to further delays.

We added GCP services like BigQuery as S4’s cloud data warehouse and use BigQuery GIS for geospatial analysis, Cloud Dataflow for simplified stream and batch data processing, and Cloud SQL for queries to the S4 database platform, which have all made a huge impact on our services and bottom line.

Database and analytics costs have decreased by 40% and customers are receiving our analytical results 25% faster. In addition, we’ve eliminated the time-consuming downloading of images, reducing storage and processing costs by 80%, because we no longer need expensive tools licenses, and have greatly reduced classification processing times.

Our customers working in the agriculture industry are also benefiting from this infrastructure change. They are now able to speed up their data analytics using our GCP-based platform.

“S4 products and technologies unlock the full potential of satellite imagery for crop prescriptions, monitoring and yield estimates,” says Nicolás Loria, Manager of Marketing Services, Southern Cone, Corteva Agriscience.

“We’ve worked with S4 for the last three (and starting year number four) crop seasons as its team capabilities, data integration capacities, and analytics insights have allowed Corteva to perform an entire new solution. Thanks to S4’s customized 360° approach, fast response and delivery times, we have safely outsourced our remote crop analytic technical needs.”

Also, this new architecture has allowed us to scale our models and databases with almost no limits, at a fraction of the cost vs. the previous models.

We’ve saved a lot of time on executing processes and reduced work needed by our internal teams to do certain tasks, like preparing images, converting them, validating results, and more. Using Google Earth Engine has decreased the execution time of daily tasks anywhere from 50% to 90% of the previous time, going from an average time of 30 minutes to between four and 15 minutes, depending on the task.

In addition to saving money and time, we are able to focus on innovation with the GCP performance and features we’re using. We’re able to seamlessly add satellite data to analytics using both public datasets and our own private data, and deliver GIS data management, analytics, crop classification and monitoring in real time.

We can do semi-automatic crop classification and classification using spectral signatures with Google Earth Engine. Later this year, we’ll be using neural networks for pattern recognition and machine learning in new applications to improve crop yields and fine-tune risk models. And using GCP and Google Earth Engine infrastructure means we can run models for customers in South America and around the world, since Google Earth Engine has global satellite imagery available. 

We’ve heard from our customer Indigo Argentina that they’re able to bring customers data insights faster.

“We are working with S4 in the development of two different applications for satellite crop monitoring and yield assessment,” says Carlos Becco, CEO, Indigo Argentina. “S4’s technology allowed us to manage and analyze multiple sources and layers of information in real time, letting us uncover valuable insights in Indigo’s own microbiome technologies, and at a very competitive cost.” 

Analytical products and app development thrive with GCP

With GCP, we are updating and improving algorithms that we built manually with machine learning processes to develop drought indices for upcoming crop seasons. Algorithms can recognize specific phases of crop phenology (e.g., bud burst, flowering, fruiting, leaf fall) and correlate them with photosynthetic activity, light, water, temperature, radiation, and plant genetics factors. Other analytical products like crop monitoring, pre-planting recommendations, financial scoring, and yield estimation can now do a lot more for users by offering multiple layers and datasets, faster image processing, and real-time access via APIs.

We also replaced our bare-metal S4 app deployment with the App Engine serverless application platform. It provides tighter integration between the S4 platform and our BigQuery data warehouse for integration with marketplaces and third-party solutions.

We get all of these Google Cloud features with all the benefits of managed cloud services, from multiversioning and security to automatic backups and high availability.

At S4, we trust technology to decode plant growth and help protect farmers and their communities from climate change. With growing food shortages due to increasing populations and intensifying weather, data and analytics can have a huge impact in lowering financial risks and improving agricultural yields. It’s one sector where cloud, database, analytics, and other technologies are combining to improve business outcomes and affect the lives of billions of people. Learn more about S4’s work and learn more about data analytics on Google Cloud.

May is a big month for the security industry. It’s been over a year since we gathered for RSA in San Francisco for one of 2020’s last major in-person events. While we likely won’t be together in person this year, it’s an important time for the security community to come together and reflect on many accomplishments, and to consider the challenges still ahead of us. As the world focuses on security incidents and all the risks that still need resolving, it is important to stand back, on occasion, and also note that immense progress has been made by large numbers of small, medium and large enterprises to protect themselves and their customers against increased threats. What is also amazing is to see organizations do this while accelerating their digital transformations, supporting and protecting customers and managing ongoing remote working challenges. We are privileged to play our part in supporting those great teams. 

It’s also been a busy month for us here at Google Cloud since our inaugural CISO perspectives blog post in April. Today, I’ll recap our cloud security and industry highlights, a sneak peak of what’s ahead from Google at RSA and more. 

Thoughts from around the industry 

• Risk Governance of Digital Transformation in the Cloud – In our latest Office of the CISO whitepaper, we shared guidance on both the challenges and opportunities of cloud transformation for Chief Risk Officers, Chief Compliance Officers, Heads of Internal Audit and their teams. A misconception we sometimes see among these executives is that moving to the cloud creates more risk to manage. Having held these leadership positions in previous roles, I believe that the cloud is as much a means of managing security, resilience and other risks as it is a risk in its own right. The whitepaper dives deep into considerations for each of these leadership functions as their organization embarks on a digital transformation journey. 
• The importance of meeting global compliance requirements – Compliance is critical for building trust with customers in regulated industries, especially the public sector. It is worth remembering that in any critical industry, where there can be material impact from incidents, strong industry practices and standards to protect customers are vital (I wrote about this last summer). At Google Cloud, we’re regularly adding new compliance and security certifications to meet our customers’ needs globally. Recently, we expanded our list of FedRAMP High-certified products to include Cloud DNS, and helped our customers in the Asia-Pacific region address various compliance requirements to meet new government regulations for security and data protections. Google Cloud was also the only cloud service provider to complete an annual pooled audit with the Collaborative Cloud Audit Group (CCAG), which is a syndicate of 39 leading European financial institutions and insurance companies who depend on cloud infrastructure and technologies to deliver innovative solutions and experiences for their customers. Having spent most of my career in the financial services industry, I know firsthand the importance of managing risk assessments for outsourced vendors to provide the necessary assurances customers need from their cloud providers. 

RSA 2021 

We have a great lineup of speaking sessions and keynotes from Googlers at RSA this year. Below are the highlights you don’t want to miss: 

• I’ll be doing a session on May 20 about supply chain resilience, where a panel of experts will dive into how we can adjust risk and security initiatives to handle the next “punch to the supply chain.” Additionally, on May 18 I’ll join many of my esteemed CISO leaders from various industries and governments for a keynote discussion on our top security insights, lessons learned and best practices for how we move forward as an industry to address the next wave of challenges. 
• Google’s Senior Director of Information Security Heather Adkins will deliver a session on how to build secure and reliable systems at scale, which will cover principles from Google’s Site Reliability Engineering book with the same title (available for free download here). I’m most looking forward to Heather’s advice for how we as an industry can reshape our security thinking, based on modern architectures and technologies that can help organizations design scalable and reliable systems that are fundamentally secure.
• Nelly Porter, Senior Product Manager at Google Cloud Security, will participate in a panel discussion with security experts on the importance of Confidential Computing technology, how it’s changing the security landscape and where it’s headed. Google Cloud has made great progress in delivering a Confidential Computing portfolio for our customers in regulated industries over the past year, and we’re excited for new milestones in 2021. 

Google cloud security highlights

• Infrastructure and SRE spotlight – Before I joined Google Cloud, I always admired the infrastructure and benefits this organization delivers that are uniquely Google – from the subsea cable innovations to SRE inventions and principles. Security and resiliency are baked into every layer of our infrastructure. Many of the Googlers who build and support our platform have sat in the same seat as our customers, so they understand those needs intimately. Over the last few months it’s been amazing to watch our technical infrastructure team grow, and the direct reliability, operational resilience and security benefits that team brings to our customers. For example, we’ve opened a new region in Poland, announced the first subsea cable that will directly connect the U.S. to Singapore with fiber pairs over an express route, and released an SRE book focused on how organizations can complete a successful cloud migration.
• New security foundations blueprint guide – As part of our mission to deliver the industry’s most trusted cloud, we strive to operate in a shared-fate model for risk management in conjunction with our customers. This includes sharing opinionated step-by-step guidance with key decision points and focus areas for how our customers deploy workloads in Google Cloud. This is why we’ve updated our Google Cloud security foundations guide and corresponding Terraform blueprint scripts. These blueprints are tremendously helpful to many stakeholders within an enterprise, like a CISO that needs to understand our key principles for cloud security, or a C-Suite business leader that needs to quickly identify the skills their teams need to meet an organization’s security, risk, and compliance needs on Google Cloud. 

When we think about the types of features to build into products, we have many principles we follow. But the two that I keep coming back to as crucial are:

1. The need for secure products not just security products. All products should have security built in and while we do build great security products our security and other teams remain focused on constantly enhancing the base levels of security and the security features in all our products. 
2. Defense in Depth. We don’t just focus on defense in depth from attacks – for ourselves and our customers. We also prioritize defense in depth from configuration errors or other hazards. 

As you see below in some of the highlights of new features and products, these represent our commitment to secure products and all forms of defense in depth. 

• Workload identity federation – Service account keys are powerful credentials, and can represent a security risk if they are not managed correctly. A safer approach is to use workload identity federation, using IAM to grant external identities IAM roles, including the ability to impersonate service accounts. This lets you access resources directly and eliminates the maintenance and security burden associated with service account keys. We also offered related overall guidance on the best way to use and authenticate service accounts on Google Cloud.
• VPC-SC Directional Policies – With VPC Service Controls (VPC-SC), admins can define a security perimeter around Google-managed services to control communication to and between those services. Using VPC-SC, you can isolate your production GCP resources from unauthorized VPC networks or the internet. But what if you need to transfer data between isolated environments that you’ve set up? VPC-SC directional policies is a new secure data exchange feature that allows you to configure efficient, private, and secure data exchange between isolated environments. 
• Anthos service mesh supports VMs as well as clusters – Most enterprise compute resources are still in VMs and many will remain there for a long time to come. In Anthos 1.7,  your VM-based workloads can now take advantage of the same mesh functionality as your container-based workloads.
• Cloud Spanner CMEK and Access Approvals – Cloud Spanner is Google Cloud’s fully managed relational database that offers unlimited scale, high performance, strong consistency across regions and high availability. Spanner now supports customer-managed encryption keys (CMEK) and Access Approval, Google Cloud’s industry-leading controls to require approval before access to your content by Google support and engineering teams.
• External Key Manager enhancements – In early 2020 we launched Cloud External Key Manager (Cloud EKM), the industry’s leading Hold-Your-Own-Key (HYOK) product. Using Cloud EKM, the keys used to protect your data stored and processed in Google Cloud are completely hosted and managed outside of Google Cloud infrastructure. Cloud EKM initially launched with support for BigQuery and GCE/PD;  we expanded support for Cloud SQL, GKE, Dataflow Shuffle, and Secret Manager, with CMEK support currently in beta. We also provided in-depth documentation on the functionality, architecture and use cases for Cloud EKM in a new whitepaper.
• Web App and API Protection solution –  Web applications and public APIs are increasingly important to how organizations interface with their customers and partners, and we’ve seen increased investment in tools to protect these resources from fraud and abuse. Google Cloud’s new Web App and API protection solution is based on the same technology Google uses to protect its public-facing services against web application exploits, DDoS attacks, fraudulent bot activity, and API targeted threats. It provides protection across clouds and on-premises environments.
• Threat Intel for Chronicle – Most threat intelligence feeds require security teams to do the implementation and legwork. With our new Threat Intel for Chronicle offering, however, our intelligence insights are applied automatically across your security telemetry to present unique observations within your environment. Threat Intel for Chronicle is exclusively curated for enterprise customers by Uppercase, Google Cloud’s intelligence research and applications team to provide our perspective on threats across the internet and surface them as relevant alerts.

That wraps up another month of thoughts and highlights. If you’d like to have this Cloud CISO Perspectives post delivered every month to your inbox, click here to sign-up, and we’ll see you in June!

When our founders began Mambu in 2011, their goal was to bring the latest digital technologies to the banking and finance world. Banking, in particular, is an industry built on decades of deep legacy technology. So initially, Mambu was embraced by microfinance — 100 organizations in 26 countries in just the first two years. 

Since then, acceptance of modernizing core banking services by using composable, cloud technologies has grown across financial services institutions (FSIs). We now service top-tier banks, fintech startups, and other finance organizations across six continents, helping them deliver flexible, personalized, customer-centric banking products and services that their customers can depend upon.

One of the main reasons we’ve been able to scale the Mambu composable banking platform across the globe and at our current pace is our partnership with Google Cloud. The decision to move forward with Google Cloud happened for several reasons.

1. Flexibility and openness. Many FSIs are on hybrid and multicloud technology stacks, as they may still be transitioning from legacy systems, or have data residency requirements that have led them to use different clouds in different regions. Mambu meets customers wherever they are in their cloud journeys. We support interoperability without vendor lock-in. This need for openness, as well as the scalability benefits, led Mambu to evolve our platform on Google Kubernetes Engine (GKE). Many customers use open-source Kubernetes because, this common foundation can help streamline integration, speed up time to market, and reduce development. Just as important, the Google Cloud open cloud approach matches our company values. 

2. Security and data residency. For customers in highly regulated finance industries, security isn’t just top of mind,  it’s the No. 1 requirement. In addition to Google Cloud’s secure infrastructure, external audit certifications, and encryption, its wide array of regions has allowed us to expand into more countries, where we serve banks that must meet local data residency requirements. For example, Google Cloud’s Jakarta Cloud Region, has allowed us to support Bank Jago in Indonesia as it brings more financial inclusion to the unbanked in that country.

3. Availability. It’s critical for banks to maintain basic financial functionality, like accepting deposits and serving cash, even amid a service disruption. We needed a cloud partner with impeccable redundancy, failover, and disaster recovery capabilities.

In addition to GKE, the Mambu platform uses several other Google Cloud services for specific functions, including Cloud Armor, Cloud Load Balancing, Cloud VPN, Cloud Memorystore, and Google Cloud Operations.

Another important reason we chose to partner with Google Cloud was its expansive ecosystem and commitment to innovation. We are midway into a three-year journey to modernize our own technology stack to meet customer needs.

Building a roadmap with Google Cloud

Our customers need a core banking technology platform that will grow with them as they bring to market innovative services built on the latest technology advances. For Mambu to be that platform, we need a cloud partner that supports and scales with our growth. While we originally built our cloud architecture on GKE and Compute Engine (among a few other Google Cloud services), we’re now looking to a serverless future where we can scale more easily and leverage managed services within Google Cloud and its partner ecosystem to focus on our core offerings. 

These are just some of the modernization and customer-led innovations that we’re cooking up: 

• More workloads in GKE: Like many companies, our cloud transformation is a work in progress. While much of our codebase is in GKE, we’re continuing to break up some larger pieces of code into microservices to increase agility and velocity, enabling us to make consistent updates to discrete areas of our platform without affecting the whole. GKE is the leader for orchestrating microservices at scale and continues to be a natural fit.
• Native BigQuery integration: Mambu customers collect a tremendous amount of data within the platform that can be used for analytics, personalization, and other use cases. We’re planning to create a seamless integration for feeding core banking data from Mambu into BigQuery so that customers can better leverage their valuable data.
• CloudSQL vs. self-managed MySQL: We have almost completed migrating from our own MySQL instances to managed Cloud SQL databases, which will open up new opportunities to implement customer-centric solutions such as BigQuery integration.
• A serverless future with Cloud Run: Compute Engine is working well for Mambu, providing the flexibility to choose the virtual machines that best balance performance and cost needs. As we seek even more time and cost efficiencies, we believe the elastic scalability of a serverless architecture built on Cloud Run will get us there, and we’re considering going serverless in the future. Doing so would abstract infrastructure for simpler management, while allowing us to fire up containers to meet our customers’ high transactions-per-second needs, spin them down when not needed, and pay only when they run. It would also boost security: Without long-running compute, there are no patches or fixes, and each new instance is isolated and fresh by default.

These are just a handful of examples of the ways we want to best leverage Google Cloud services to simplify how we manage our tech stack, as well as continue to bolster security, scalability, and performance. There are many other ideas we’re exploring: using Dataproc and Datastream to support the specific data needs of Islamic banking, Cloud Functions so that customers can run their own queries against Mambu, and AI-enabled features. 

At Mambu, our mission is to empower our customers to deliver great modern financial experiences easily to everyone around the world. Every time Google Cloud opens a new data center, we can enter a new market. Every time we move to a new-to-us managed service via the Google Cloud Marketplace, we free up time to build new ways to deliver customer-centric banking solutions. And so, we look forward to continuing this partnership with Google Cloud well into the future.