Google Workspace and Chrome Enterprise Integral for Colgate-Palmolive’s Flexible Work-Culture
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Editor’s note: Today’s post is by Roger Lim, IT Manager of Collaboration Infrastructure Development, and Jim Arcure, Director of Infrastructure Development, both with Colgate-Palmolive, the multinational consumer products company. Colgate-Palmolive is in the midst of a multiyear project to create a collaborative, flexible work culture, leveraging Google Workspace and Chrome Enterprise.
Colgate-Palmolive Company is a caring, innovative growth company reimagining a healthier future for all people, their pets, and our planet. Focused on Oral Care, Personal Care, Home Care, and Pet Nutrition, and reaching more than 200 countries and territories, Colgate teams are developing and selling product offerings essential to society through brands such as Colgate, Palmolive, elmex, meridol, Tom’s of Maine, hello, Sorriso, Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Filorga, eltaMD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Science Diet and Hill’s Prescription Diet.
Colgate-Palmolive has been accelerating growth and delivering meaningful innovation and attracting new and diverse talent in areas such as ecommerce, innovation and digital. That speed and agility comes in large part from the Chrome Enterprise tools that allow the business to move faster and stay competitive.
Changing out software and hardware for 30,000 employees in 70+ countries is a massive project. Early on, we chose Chrome Enterprise as our partner. We had to move away from our dependency on legacy platforms, software, and devices if our business was going to thrive. We knew cloud-based tools like Chrome and Google Workspace would do what on-premises solutions can’t—ease the IT workload while keeping employees happy and productive.
Why we’re escaping legacy apps and embracing the cloud
We don’t want Colgate-Palmolive’s size and geographical breadth to get in the way of people working together and maintaining its strength in global teamwork. That’s why we’re replacing bulky, hard-to-maintain, on-premises applications and software with cloud versions that everyone can securely access in a web browser.
As an IT team, we thought about how much work time we spent installing, updating, and troubleshooting software (up to 30 percent of work hours during big upgrades!). As we were looking at ways to work together better, we had our eyes on the cloud revolution—and, specifically, Chrome Enterprise and Google Workspace.
First step, switch to a new browser
Back in 2016, the IT team was working to move everyone to Google Workspace and away from legacy productivity applications. Once you start Google Workspace adoption, it’s time to take a closer look at browser options.
We chose Chrome Browser for several reasons. It updates automatically, so we could cross lengthy upgrade tasks off our list. An even bigger benefit is that Chrome Browser’s management tools, data protection, and malware detection are all built in. We anticipate a lot of synergy here by leveraging these features and having our users go all Chrome.
Chrome Browser also gave us tools to manage and grant access to apps across our multi-platform device fleet. We call Chrome Browser Cloud Management our “golden nugget” because every browser gets enrolled automatically in browser management.
It’s now much easier to push out new extensions and apps (and allowlist or blocklist them) compared to the time-consuming process of using our existing desktop policy management settings. The ability to easily manage extensions is a huge benefit since it enabled IT to provide new and safe functionality to our end users.
Next, share new ways of working together
Our IT team wants workers to see the benefits of Google Workspace and Chrome Browser on their own, but sometimes we have to guide them toward the finish line. At the beginning of the project, we developed “Going Google” tools to notify users to consider Google Workspace when opening legacy applications that are no longer needed.
As Chrome Enterprise and Google Workplace became our primary productivity tools, it was also important to ensure our users did not fall back on old habits. Our “Going Google” tools gave our IT organization the ability to not only notify, but turn off specific legacy apps per user. Though IT could easily restore access to these legacy apps on a temporary basis, we have seen a significant dropoff in these types of requests over the past few months. Our goal is to give Colgate people a gentle and consistent reminder that we will be a Google Workspace-only company. By taking these active and decisive steps, we ensure that our users and teams are migrating to Google Workspace today.
To that end, we’ve provided lots of support. We use over 1,000 Colgate “Google Guides” around the world who run on-site classes and webinars on Google Workspace, and are available for one-on-one help, as well as roughly 700 “Google Gurus” who are savvy early-adopters and can lend a hand to colleagues with questions about Google Workspace. Our training classes and webinars are playing to packed houses, and we’re scheduling sessions that focus on specific skills, like a class about using Google Sheets attended by 250 people via Google Meet.
Finally, start rolling out new devices
If we can get everyone at Colgate-Palmolive working in Google Workspace and Chrome Browser, then offering Chromebooks is another natural fit: Chromebooks and the Chrome OS are built for the cloud world we want to work in. We’re pilot testing about 200 Chromebooks for employees, mostly in our customer development department. The Chromebooks are in high demand in challenging locations because they’re easier to deploy for new hires. When employees eventually get back to their offices, we are eager to expand Grab-and-Go racks for people that need a temporary loaner. These Grab-and-Go racks in our New York City and Piscataway, N.J. offices will provide another way for people to test drive Chromebooks.
Two hundred-odd years after Colgate-Palmolive started doing business, we’re excited about the modern focus of our workplace tools. The Google tools that allow us to collaborate also allow the company to succeed well into our third century.
Israeli Government Chooses Google Cloud to Power its Cloud-based ‘Project Nimbus’
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Google Cloud today announced that it has been selected by the Israeli government to provide public cloud services to help address the country’s challenges within the public sector, including in healthcare, transportation, and education.
Following a thorough public tender process, Google Cloud was selected for this four-phase project known as “Project Nimbus.” The agreement will deliver cloud services to all government entities from across the state, including ministries, authorities, and government-owned companies. The agreement is also available for higher education, health maintenance organizations and municipalities. The project will run for an initial period of 7 years, and the Israeli government may extend the engagement for up to 23 years in total.
As part of the agreement, Google Cloud will work with the public sector on the formulation of best practices for cloud migration, integration and migration to the cloud, and optimisation of cloud services. Google Cloud will also provide training to the country’s technical government employees and senior leaders to enhance digital skills. Google Cloud announced last month that it will open a Google Cloud region in Israel to make it easier for customers to serve their own users faster, more reliably and securely. The region in Israel will be available to serve not only the government and related entities but also private commercial companies, just like any other Google Cloud region.
The Accountant General of Israel, Mr. Yali Rothenberg, congratulates Google on their winning bid in the first tender of “Project Nimbus”, a multi-year flagship project led by the Israeli Government Procurement Administration, that is intended to provide a comprehensive framework for the provision of cloud services to the Government of Israel.
We are delighted to have been chosen to help digitally transform Israel. This builds on the continued success we are seeing with the public sector globally.
Google Cloud region in Israel
In April, we announced that a new Google Cloud region is coming to Israel to make it easier for customers to serve their own users faster, more reliably and securely. Our global network of Google Cloud regions are the foundation of the cloud infrastructure we’re building to support our customers in the Middle East and around the world. With cloud’s 25 regions (and forthcoming Middle East regions in Qatar and Saudi Arabia) and 76 zones around the world, we deliver high-performance, low-latency services and products for Google Cloud’s enterprise and public sector customers.
Linking the Middle East with Southern Europe and Asia: Google’s New Subsea Cables to Be Ready by 2024!
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Today, we’re announcing that we are collaborating with Sparkle and others to build and operate two submarine cable systems linking the Middle East with southern Europe and Asia: the Blue Submarine Cable System connecting Italy, France, Greece, and Israel; and the Raman Submarine Cable System connecting Jordan, Saudi Arabia, Djibouti, Oman and India.
Developing additional network capacity and routes is critical to Google users and customers around the globe, who depend on robust connectivity to power their online lives, and communicate with friends, family and business partners. Google users and Google Cloud customers will benefit from increased capacity and decreased latency to regions in the area.
Each equipped with 16 fiber optic pairs, the Blue and Raman Submarine Cable Systems are expected to be ready for service in 2024. In time, consortium members hope to make additional landings and connect the two systems through terrestrial network assets.
Like with other infrastructure projects, building a subsea cable is an opportunity to pay tribute to a regional luminary who has advanced human understanding. The Raman cable is named for Sir Chandrasekhara Venkata Raman, an Indian physicist who won the 1930 Nobel Prize in Physics—the first Asian to receive that honor in science. C.V. Raman’s work centered on light scattering, which finds that when light traverses a transparent material, some of the deflected light changes wavelength and amplitude. This so-called Raman effect is a foundational principle in the field of optics that enables any underwater network cable. A trip across the Mediterranean also prompted him to ask why the sea is blue, when water itself is clear? Thanks to C.V. Raman, we now know that the sea isn’t simply reflecting the sky, but because the water itself causes blue light to scatter.
With Blue and Raman, we now have 18 investments in subsea cables around the world, including Google-funded cables like Curie, Dunant, Equiano, Firmina and Grace Hopper, and consortium cables like Echo, JGA, INDIGO and Havfrue. You can learn more about Google Cloud’s network and infrastructure here.
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Metro Consolidates 100 SAP Instances on Google Cloud
German retailer Metro, with operations in 25 countries across Europe and Asia and employing over 150,000 people, decided to consolidate its 100 SAP instances into one SAP S/4HANA system running on the Google Cloud Platform.
This helped the company lower costs, increase efficiency, and improve customer experience. In addition, the company is using Google BigQuery and advanced analytics to increase its sales.
Watch Timo Salzsieder, Metro CIO/CSO, explain the company’s journey with SAP on Google Cloud.
How to Pick a Database that is Suitable for Your Application
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Picking the right database for your application is not easy. The choice depends heavily on your use case—transactional processing, analytical processing, in-memory database, and so on—but it also depends on other factors. This post covers the different database options available within Google Cloud across relational (SQL) and non-relational (NoSQL) databases and explains which use cases are best suited for each database option.
Relational databases
In relational databases information is stored in tables, rows and columns, which typically works best for structured data. As a result they are used for applications in which the structure of the data does not change often. SQL (Structured Query Language) is used when interacting with most relational databases. They offer ACID consistency mode for the data, which means:
- Atomic: All operations in a transaction succeed or the operation is rolled back.
- Consistent: On the completion of a transaction, the database is structurally sound.
- Isolated: Transactions do not contend with one another. Contentious access to data is moderated by the database so that transactions appear to run sequentially.
- Durable: The results of applying a transaction are permanent, even in the presence of failures.
Because of these properties, relational databases are used in applications that require high accuracy and for transactional queries such as financial and retail transactions. For example: In banking when a customer makes a funds transfer request, you want to make sure the transaction is possible and it actually happens on the most up-to-date account balance, in this case an error or resubmit request is likely fine.
There are three relational database options in Google Cloud: Cloud SQL, Cloud Spanner, and Bare Metal Solution.
Cloud SQL: Provides managed MySQL, PostgreSQL and SQL Server databases on Google Cloud. It reduces maintenance cost and automates database provisioning, storage capacity management, back ups, and out-of-the-box high availability and disaster recovery/failover. For these reasons it is best for general-purpose web frameworks, CRM, ERP, SaaS and e-commerce applications.
Cloud Spanner: Cloud Spanner is an enterprise-grade, globally-distributed, and strongly-consistent database that offers up to 99.999% availability, built specifically to combine the benefits of relational database structure with non-relational horizontal scale. It is a unique database that combines ACID transactions, SQL queries, and relational structure with the scalability that you typically associate with non-relational or NoSQL databases. As a result, Spanner is best used for applications such as gaming, payment solutions, global financial ledgers, retail banking and inventory management that require ability to scale limitlessly with strong-consistency and high-availability.
Bare Metal Solution: Provides hardware to run specialized workloads with low latency on Google Cloud. This is specifically useful if there is an Oracle database that you want to lift and shift into Google Cloud. This enables data center retirements and paves a path to modernize legacy applications.
Non-relational databases
Non-relational databases (or NoSQL databases) store compex, unstructured data in a non-tabular form such as documents. Non-relational databases are often used when large quantities of complex and diverse data need to be organized. Unlike relational databases, they perform faster because a query doesn’t have to access several tables to deliver an answer, making them ideal for storing data that may change frequently or for applications that handle many different kinds of data.
For example, an apparel store might have a database in which shirts have their own document containing all of their information, including size, brand, and color with room for adding more parameters later such as sleeve size, collars, and so on.
Qualities that make NoSQL databases fast:
- Eventual consistency: stores usually exhibit consistency at some later point (e.g., lazily at read time)
- Horizontal scaling, usually using hashed distributions
- Typically, they are optimized for a specific workload pattern (i.e., key-value, graph, wide-column)
- Typically, they don’t support cross shard transactions or flexible isolation modes.
Because of these properties, non-relational databases are used in applications that require large scale, reliability, availability, and frequent data changes.They can easily scale horizontally by adding more servers, unlike some relational databases, which scale vertically by increasing the machine size as the data grows. Although, some relations databases such as Cloud Spanner support scale-out and strict consistency.
Non-relational databases can store a variety of unstructured data such as documents, key-value, graphs, wide columns, and more. Here are your non-relational database options in Google Cloud:
- Document databases: Store information as documents (in formats such as JSON and XML). For example: Firestore
- Key-value stores: Group associated data in collections with records that are identified with unique keys for easy retrieval. Key-value stores have just enough structure to mirror the value of relational databases while still preserving the benefits of NoSQL. For example: Datastore, Bigtable, Memorystore
- In-memory database: Purpose-built database that relies primarily on memory for data storage. These are designed to attain minimal response time by eliminating the need to access disks. They are ideal for applications that require microsecond response times and can have large spikes in traffic. For example: Memorystore
- Wide-column databases: Use the tabular format but allow a wide variance in how data is named and formatted in each row, even in the same table. They have some basic structure while preserving a lot of flexibility. For example: Bigtable
- Graph databases: Use graph structures to define the relationships between stored data points; useful for identifying patterns in unstructured and semi-structured information. For example: JanusGraph
There are three non-relational databases in Google Cloud:
- Firestore: Is a serverless document database which scales on demand and acts as a backend-as-a-service. It is DBaaS that increases the speed of building applications. It is perfect for all general purpose uses cases such as ecommerce, gaming, IoT and real time dashboards. With Firestore users can interact with and collaborate on live and offline data making it great for real-time application and mobile apps.
- Cloud Bigtable: Cloud Bigtable is a sparsely populated table that can scale to billions of rows and thousands of columns, enabling you to store terabytes or even petabytes of data. It is ideal for storing very large amounts of single-keyed data with very low latency. It supports high read and write throughput at sub-millisecond latency, and it is an ideal data source for MapReduce operations. It also supports the open-source HBase API standard to easily integrate with the Apache ecosystem including HBase, Beam, Hadoop and Spark along with Google Cloud ecosystem.
- Memorystore: Memorystore is a fully managed in-memory data store service for Redis and Memcached at Google Cloud. It is best for in-memory and transient data stores and automates the complex tasks of provisioning, replication, failover, and patching so you can spend more time coding. Because it offers extremely low latency and high performance, Memorystore is great for web and mobile, gaming, leaderboard, social, chat, and news feed applications.
Conclusion
Choosing a relational or a non-relational database largely depends on the use case. Broadly, if your application requires ACID transactions and your data structure is not going to change much, select a relational database.
In Google Cloud use Cloud SQL for any general-purpose SQL database and Cloud Spanner for large-scale globally scalable, strongly consistent use cases. In general, if your data structure may change later and if scale and availability is a bigger requirement than consistency then a non-relational database is a preferable choice. Google Cloud offers Firestore, Memorystore, and Cloud Bigtable to support a variety of use cases across the document, key-value, and wide column database spectrum.
For more comparison resources on each database check out the overview. For more hands-on experience with Bigtable, check out our on-demand training here and learn about migrating databases to managed services check out this whitepaper.
https://youtube.com/watch?v=2TZXSnCTd7E%3Fenablejsapi%3D1%26
For more #GCPSketchnote, follow the GitHub repo. For similar cloud content follow me on Twitter @pvergadia and keep an eye out on thecloudgirl.dev.
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Google’s Tau VMs Help Nylas Reach New Heights!
Nylas is a leading provider of scalable and secure communications data platform that powers business process and productivity automation and drive digital engagement for its customers that are fast-growing start-ups as well as large enterprises. The company approached Google Cloud with a complex challenge involving its legacy architecture that gave rise to cost and scalability issues. Nylas processed 30 terrabytes of data, billions of messages and hundreds of millions of APIs per day! Moreover, to serve Nylas’ large enterprise customer in the Financial Services industry with stringent security needs and data storage infrastructure requirements to avoid in-memory hacks, they rewrote the entire infrastructure in Go and Kubernetes on top of Google.
Watch the video to learn how Google Cloud has been the best distributed technology and a true partner for Nylas, helping them achieve 40 percent in savings by moving to Tau VMs!
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