Google Cloud Featured at TechCrunch Disrupt 2021

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Startups need to move quickly and focus their limited resources on areas where they can differentiate. If infrastructure isn’t your differentiator, don’t put a lot of energy into your infrastructure when someone else can do it for you. What’s more, time-to-market matters to startups more now than ever. Successful early stage companies know this, and leverage existing tools, libraries, frameworks and innovations whenever possible.
Next week Google Cloud will be featured at TechCrunch Disrupt, the iconic annual event where “founders and investors shaping the future of disruptive technology” come together to share stories, network, and learn from each other. Google Cloud will host a session and Google Cloud engineers will be available in a virtual booth to answer startup questions.
The session, “Demo Derby – How startups are disrupting the status quo with innovative data analytics, AI and modern app development” will be a fun, fast-paced set of presentations showing short demos of startups and startup projects built with Google Cloud.
Demo Derby Presenters
- Andrea Le Vot, Chief Data Protection Officer with startup BlueZoo will deliver a demo showing how they are revolutionizing the property insurance industry with AI and Cloud – and doing so while actually protecting people’s privacy.
- Dale Markowitz and Zack Akil, Applied AI Engineers, will show how easy it is to use AI for everything from video search to editing to automated translation.
- Vidya Nagarajan, Group Product Manager from Google Cloud will deliver a fast paced demo that shows how startups can drive developer productivity with serverless innovations.
“Disrupt is iconic for its engagement with founders, investors, and the broad community of early stage companies,” said Andrea Le Vot, Chief Data Protection Officer at BlueZoo. “We are thrilled to share our insights with others in our community, and to show how we have partnered with Google Cloud to innovate faster than most of the larger, well funded insurance companies in our market.”
The series of snippet sized demos will be followed by a roundtable discussion with the demo developers focused on lessons learned, best practices, how to reduce time-to-market, and how to focus on where you can most effectively differentiate.
The session will air on Day One of the event: Tuesday September 21, 2021 at 1pm PT and will be available on demand after the event for all Disrupt attendees.

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This comprehensive guide provides a detailed process for migrating archival workloads from Amazon Glacier to Google Cloud Storage Nearline in the Indian context. The process involves carefully planning data retrieval and staging strategies to ensure an efficient and cost-effective migration.
The whitepaper includes:
- Different storage methods on Amazon Glacier and their respective retrieval processes.
- Recommendations on managing retrieval costs to avoid high charges from Amazon Web Services.
- The recommended rate for data availability and download to prevent unnecessary repetition of the process.
- Utilization of Google Compute Engine for data staging, if stored directly in Amazon Glacier.
- Use of command-line utility, gsutil, or the Storage Transfer Service for transferring data from the staging location to Google Cloud Storage Nearline.
- Insights to achieve a streamlined and economical migration process from Amazon Glacier to Google Cloud Storage Nearline.

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With a growing number of enterprises across industries making the move from on-premise infrastructure to on-demand cloud services, there has been a major shift from CapEx to OpEx spending. As a result, budgeting can no longer be a one-time operational process completed annually. Instead, spending must be monitored and controlled on an ongoing basis due to the dynamic nature of cloud use within organizations.
Hence, yesterday’s solutions for control and predictability of infrastructure expenditures don’t work well in this new era of cloud services. No wonder, a recent Google study on cloud financial governance among IT and Finance professionals found that lack of predictability is the single greatest cloud cost management pain point.
What is needed by organizations are cloud financial governance tools — that are easy to use and help uncover opportunities for optimizing costs and usage — to make cloud costs more predictable.
Download this handy guide on financial governance in the cloud to learn how you can get on the path to predictable cloud costs.
Kohl’s Leverages Google Cloud Platform for Omnichannel Retail

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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.”
How Ather Energy is leveraging the Cloud to build and scale smart mobility solutions for India

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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.
Read the Full Story on YourStory

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Cloud data warehouse solutions are changing the way firms build and support data platforms for insights. From provisioning a cloud data warehouse in minutes without requiring any technical expertise to allowing business analysts and other nontechnical users to access, store, and process large amounts of data for insights, they allow users to focus on business issues rather than deal with technical complexity.
No wonder, technology leaders rate cloud data warehouses as critical for their data management strategy. As a result, cloud data warehouse deployments are on the rise as firms across industries look at lowering costs, supporting new accelerated insights, and simplifying data management.
Analyst firm Forrester Research in its recent report on the Cloud Data Warehouse market has named Google Cloud a leader in this space as it offers large and complex cloud deployments, supports a broader set of use cases, and delivers high performance, scale, and automation.
Download this Forrester Research report to understand why enterprises are turning to cloud data warehouses and why Google Cloud is a leader in this space.
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