In 2013, long before the world was discussing clean energy and sustainable practices, two IIT Madras graduates — Swapnil Jain and Tarun Mehta — had an idea to develop India’s first-ever electrical scooter.

This was at a time when auto manufacturers were still focusing on fossil-fuel-driven vehicles and ‘eco-friendly’ mobility solutions were more a trendy alternative catering to a niche market.

The duo founded Ather Energy in 2013 and launched their first fully-electric scooter, the Ather S340, in Bengaluru in 2016. Since then, the company has released several new models into the market and is planning to expand to eight more cities by the end of the year.

To support the smooth running of their vehicles, lower costs, improve time to market, and create great customer experience, Ather turned to Google Cloud.

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As an enterprise admin, when you choose to use Google Cloud Private Catalog to enable curated, self-serve Google Cloud infrastructure provisioning, you need the ability to manage your organization’s deployments. Today, we’re pleased to announce support for several improvements to Terraform driven deployments through Private Catalog. 

With this new release, you can update Terraform configurations and keep your end users informed about updates. At the same time, Private Catalog users have the ability to view new updates, note version highlights and then update the deployment. This gives you greater control over managing deployments for solutions provisioned through Private Catalog and ensuring compliance with organizational policies and standards.

Let’s take a closer look at the features you’ll find in this release. 

Deployment change management

Terraform solutions use Cloud Storage’s Object Versioning to manage updates to configuration files. With this release, you may update configuration files using multiple approaches.

• Update the solution’s Cloud Storage object with a new configuration version
• Use a different Cloud Storage object that contains a new configuration file

Once you view and apply the changes to the solution in a Private Catalog, end users are immediately able to consume the new version of the deployment configuration.

Additionally, prior to applying any changes, you can evaluate the contents of an update by comparing versions to download and compare the current and latest versions of the configuration and use new version highlights to add a description about the updates.

Ease of consumption

Once Private Catalog detects a change to the deployment configuration, it automatically informs catalog users about the change. On the Solutions page, end users have the ability to:

• Get informed about solutions that have updates
• View version highlights published by the admin
• Apply the new version 

Additionally, with this release, Catalog users can retry existing deployments by modifying deployment parameters.

Reporting improvements

The deployment reporting dashboards for Private Catalog-based deployments now show additional information about the version of a solution deployed. This enables deeper insights into the overall deployment status across all Private Catalog solution assets.

Get started today

These new features are available to all Private Catalog customers. To learn how to use these features, refer to our documentation:

• Create a Terraform configuration in Private Catalog
• Manage and update your Terraform configurations in Private Catalog

Commercial trucks often travel partially empty because many shippers don’t have enough cargo to fill an entire container or trailer. Although offering available space to other shippers helps minimize carbon emissions and reduce operating costs, most trucking companies can’t efficiently schedule, track, or deliver multiple freight loads.

Companies have always struggled to ship over-the-road freight efficiently. However,recent economic events have created an unprecedented logistics and transportation crisis that continues to disrupt supply chains, delay deliveries, and significantly raise the price of basic goods. Since some stores can’t keep their shelves fully stocked, many people across the country are finding it more difficult than ever to buy the things they need at an affordable price.

Although exacerbated by the pandemic, many of these supply chain issues have existed for decades. That’s why, in 2015, Flock Freight was started with the mission of reducing waste and inefficiency from the supply chain by reimagining the way freight moves. First to market with advanced algorithms that enable pooling shipments at scale, we create a new standard of service for shippers, increase revenue for carriers and reduce the impact of carbon emissions through shared truckload (STL) service.

Our technology helps lower prices compared to full truckload (FTL) by enabling shippers to only pay for the space they need—and maintain full control over pickup and delivery dates. Flock Freight also optimizes travel routes to speed up deliveries compared to traditional less than truckload (LTL), while eliminating unnecessary shipping hub transfers to minimize damage to cargo.

Today, thousands of shippers and trucking companies across the U.S. use Flock Freight to schedule shared truckloads, lower shipping costs, quickly deliver and track goods, and reduce their carbon footprint by up to 40%. Flock Freight further offsets carbon emissions by buying carbon credits for every FlockDirect™ guaranteed shared truckload shipment—at no extra cost to shippers.

Moving Flock Freight to Google Cloud

We founded Flock Freight with a small team based in southern California. We soon realized we needed a more scalable and affordable technology stack to support our rapidly growing platform and team. After joining the Google for Startups Cloud Program and consulting with dedicated Google startup experts, we decided to move all our data and applications to Google Cloud.

The highly secure-by-design infrastructure of Google Cloud now enables thousands of Flock Freight customers to move their freight faster, cheaper, and with less damage than traditional shipping methods. Specifically, we rely on Google Kubernetes Engine (GKE) to support the combinatorial optimization and machine learning (ML) algorithms and services that identify, pool, and schedule shared truckloads. We also leverage GKE to rapidly develop, deploy, and manage new applications and services.

In addition, we leverage Cloud SQL to automate database provisioning, storage capacity management, and other time-consuming tasks. Cloud SQL easily integrates with existing apps and Google Cloud services such as GKE and Pub/Sub. Lastly, we use Compute Engine to create and run virtual machines, optimize resource utilization, and lower computing costs by up to 91%. These cost savings allow us to shift more resources to R&D and rapidly develop new solutions and services for our customers.

Building a greener, more resilient, and responsive supply chain

The Google for Startups Cloud Program and dedicated Google startup experts were instrumental in helping us manage cloud infrastructure cost and maintaining very high SLAs, helping Flock Freight to focus on developing a comprehensive shipping platform that powers shared truckloads and drives positive industry change.

We especially want to highlight the Google Cloud research credits we relied on to launch Flock Freight and make rapid progress toward transforming the shipping industry. To this day, we continue to work with Google Cloud Managed Services partner DoiT International International to further scale and optimize operations on Google Cloud.

We’re proud of the results we’re delivering for our customers. For example, a home improvement importer now enjoys faster, safer, and easier shipping with 99.9% damage-free service and a 97.5% on-time delivery rate. A packaging supplier continues to maintain a 99% on-time delivery streak and decrease carbon emissions by 37%, while a mineral water company consistently reduces delivery expenses upwards of 50%.

Nationwide demand for shared truckloads continues to increase as the shipping industry works to lower costs and alleviate supply chain disruptions. With the Flock Freight platform, companies are building a more sustainable and resilient supply chain by efficiently combining multiple shipments into shared truckloads.

If you want to learn more about how Google Cloud can help your startup, visit our page here to get more information about our program, and sign up for our communications to get a look at our community activities, digital events, special offers, and more.

Many people are visual learners; I am definitely one of them, and judging by the tremendous response you all showed to Google Cloud Sketchnotes on LinkedIn and Twitter, you are too.

-Priyanka Vergadia, Lead Developer Advocate, Google

“A picture is worth a thousand words”

Shortly after I started creating and sharing visual explanations of Google Cloud concepts in late 2020, I began receiving overwhelmingly positive feedback from fellow cloud architects and enthusiasts. That feedback led me to think about pulling these sketches together into a reference guide — a one-stop shop for cloud learning fun. So here it is!

🥁 Introducing “Visualizing Google Cloud: 101 Illustrated References for Cloud Engineers and Architects”

🤔 What is this book about?

This book is my way of making Google Cloud technical concepts fun and interesting via visual storytelling. It covers Google Cloud essentials from end to end, with a visual explanation of each concept, how it works, and how you can apply it with other concepts to meet the needs of your real-world use case. After reading thousands of pages of Google Cloud documentation and experimenting with virtually every Google Cloud product, I distilled that experience down to this book of accessible, bite-sized visuals.

The sketches are spread across five broad categories:

• Infrastructure, storage, and databases: Run and scale applications seamlessly
• Data analytics and machine learning: Derive actionable insights from data
• Networking: Connect, scale, secure, modernize, and optimize your infrastructure
• Application development and modernization: Build apps using containers and microservices
• Security: Protect data, users, and applications in cloud

🙋‍♀️ Who is this book for?

It is for all cloud enthusiasts. It is for anyone who is planning a cloud migration or new cloud deployment, preparing for cloud certification, or looking to make the most of Google Cloud. If you are a cloud solutions architect, an IT decision-maker, or a data and machine learning engineer, you will find this book a good starting point. In short, this book is for YOU!

When you get the book you’ll not only help yourself, you’ll also help provide meals for schoolchildren who need them. All the books’ proceeds go directly to the awesome folks at Wiley and a charity that fights malnutrition and supports the right to education.

🪜 Next Steps

I hope this book helps you on your Google Cloud journey by making it both easier and more fun. Are you ready to dive in? Order here, learn more about how the idea of the book came about here and please share your thoughts with me on Twitter or LinkedIn.

Editor’s note: In this blog post we learn how TapClicks migrated to Google Cloud to offer their marketing customers a unified platform for data management, operations, insights, and analysis.

TapClicks is a smart marketing cloud, powered by data, that unifies our customer’s marketing. By choosing to migrate our core applications last year to Google Cloud, we cut costs, solved data-sharing concerns for our customers, and opened our stack up to a new ecosystem of possibilities. 

The core problem that we’re solving for our customers is how to manage their marketing infrastructures data and operations. Life isn’t easy for marketers now. There are 7,000 different vendors servicing this space today – creating much complexity between digital agencies, media, and brands. Marketers face challenges in navigating all of these systems, logging in and out, understanding pacing goals, and managing the flow of marketing data so they can analyze and report internally as well as to their clients at scale.

We unify omnichannel campaign data (250 API connectors and 6000 Smart Connectors ™ ) from a plethora of marketing sources on an automated data warehousing solution, creating simplicity for organizations. Over 4,000 agencies, media companies, and brands use our Marketing Operations and Data Management Platform, which imports data at scale and creates an automatic data warehouse on Google Cloud. Teams can also leverage TapClicks, like our world class Facebook connector, to import data directly into Google Data Studios.  Beyond importing and storing, we also provide data exporting to other Google solutions like Google Data Studio and Google Sheets.  We also create interactive dashboards that let stakeholders and clients analyze their data, as well as automated, multi-channel reports that go out to clients at specified times. So channel comparisons, optimizations, attribution, and calculations are easily performed.  Some of our customers are able to generate hundreds of thousands of individual reports and dashboards for their clients.

Although we may be best known for our reporting and analytics, we also empower teams managing the marketing operations workflow from customers and internal stakeholders, especially at scale. Our user-friendly, configurable system helps manage their orders and campaigns. Through automation of this process, we deliver tremendous amounts of efficiency, time saving, cost savings, and reduction of errors. The combination of these solutions makes up our unified platform, with additional capabilities like marketing intelligence that offers competitive and brand-level analysis. This is a disruptive solution in use by all leading media companies, agencies and many brands.

Partnering for possibilities

We faced a few challenges with our original tech stack, which included a mix of the leader in web services revenue, leaders in high performance data warehousing, as well as vendors on bare metal servers. 

• One challenge was around costs, which were growing. 
• Second, many of our customers work with multiple brands, and are very hesitant to share their data with the leader in web services, who’s often viewed as their competitor. 
• Third, these vendors are more focused on their own revenue rather than a true long term partnership that would enable their customers to enjoy similar success as they have experienced.

When looking at other cloud providers, Google Cloud emerged for us as the front runner. They were competitive on costs, and their native Kubernetes support was superior— a big selling point for our DevOps team. There’s also a movement in the marketing and advertising industry away from AWS toward Google Cloud because of the data-sharing concern. Finally, most of our customers are already using Google Cloud tools, so there’s brand recognition and familiarity there, and easier integrations with their own systems.

Migrating to Google Cloud

Our migration, which took about five months, involved moving a significant chunk of our infrastructure, including our core applications, using Google Kubernetes Engine (GKE). In our legacy architecture, each of our clients was assigned to one of our virtual machines (VMs), and there was a lot of unused capacity because we had to provision for the max usage. We appreciated GKE’s cloud native capabilities, especially autoscaling, a huge benefit for our web application. We have varying usage patterns during the day, and though our application is mostly used during business hours, there are also days in the month of higher usage, and autoscaling saves us time and costs. GKE also makes deployments much easier, and we anticipate a lot of benefits there for our developer environments. We’ve moved some of our microservices into GKE and plan to move more in the future. All in all, we were able to migrate our core products and the bulk of our AWS spend successfully to Google Cloud. 

We also moved from our other vendors Relational Database Service (RDS) to running MySQL on our own VMs on Google Cloud, which gives us more flexibility in terms of settings and fine tuning. We’re still trying to find the best mix as we’re modernizing our infrastructure, and we took this opportunity to migrate from MySQL 5.7 to 8.0.  

Our next stage is exploring more of the capabilities and services of Google Cloud, including BigQuery, which we’re considering for our own data warehouse. The fact that we could also run Snowflake on Google Cloud, if needed, was another selling point for our migration. 

We’re especially interested in BigQuery ML’s machine learning and natural language processing capabilities, which enabled better predictive insights. Our customers want insights from their campaigns— which are working, which are paying off, where should they invest next? Using our platform, they’re looking not only to generate reporting, but also identify opportunities to improve campaign performance. We plan to use AI and ML to improve those capabilities, so that our customers can seamlessly unlock insight and intelligence from their marketing data and campaigns.

Double-clicking on Google Cloud

For us, being able to deeply leverage and partner with Google Cloud to deliver those solutions on a single stack is critical, and we think our customers will love it. We see TapClicks and Google Cloud partnering at a level beyond what you typically see in a cloud provider relationship. Already, fifty percent of our company is working with various Google Cloud solutions, and we envision TapClicks and Google Cloud as extensions of each other, providing a single, powerful platform solution. 

Google Cloud understands the partnership concept, and their team was able to shine a light on their services and what they could bring to the table. Compared to our previous experiences, dealing with the Google Cloud team has been a true pleasure. Now that we’ve migrated, we’re ready to take our next steps into the services available to us in the Google Cloud ecosystem, and the problems we’ll continue to solve for our customers. Learn more about TapClicks and BigQuery ML.