Azure – Generally available: Alert processing rules in Azure Monitor
Alert processing rules (formerly action rules) provide post-processing capabilities for fired alerts in Azure Monitor.
Read More for the details.
Alert processing rules (formerly action rules) provide post-processing capabilities for fired alerts in Azure Monitor.
Read More for the details.
You can now integrate to clients in a virtual network privately, using Azure Private Link support in API Management.
Read More for the details.
Use custom HTML code widget to extend developer portal’s functionality.
Read More for the details.
Azure Functions has an updated Tables extension, now in its own NuGet package
Read More for the details.
Handle unforeseen disk traffic spikes smoothly without the need to overprovision your virtual machine with virtual machine level disk bursting.
Read More for the details.
Azure Database for PostgreSQL – Hyperscale (Citus) is now available in the Central US, South Central US, West Central US, and West US regions to distribute your Postgres database.
Read More for the details.
New compliance certifications are now available on Azure Database for PostgreSQL – Hyperscale (Citus), a managed service running the open-source Postgres database on Azure.
Read More for the details.
New features now available in public preview include automatic time series ID detection for automation, automatedML model’s training code generation, and move Azure Machine Learning workspaces between subscriptions.
Read More for the details.
Amazon Redshift now offers more efficient query processing for Redshift Concurrency Scaling clusters. Concurrency Scaling automatically adds and removes capacity to handle unpredictable demand from thousands of concurrent users.
Automatic Workload Management(AutoWLM) is designed to process queries more efficiently and is now enabled with Concurrency Scaling clusters.
Read More for the details.
AWS Resource Access Manager (AWS RAM) is now a Payment Card Industry Data Security Standard (PCI DSS) compliant service. AWS RAM helps you securely share your AWS resources across AWS accounts or within your organization or organizational units (OUs) in AWS Organizations, or with AWS Identity and Access Management (IAM) roles and IAM users for supported resource types.
Read More for the details.
Digital skills training is critical to the future of work and economic mobility in America—82% of jobs that require less than a bachelor’s degree while paying a living wage are described as “digitally intensive,” (Burning Glass) but almost one-third of U.S. workers lack digital skills (National Skills Coalition). This growing divide between demand for digital skills and the supply of trained workers has encouraged states like Ohio to consider new approaches to closing the skills gap.
Like many states, Ohio has a large number of open jobs that require digital skills—there have been over 12,0001 new cloud, IT Support, user experience (UX) design, data analyst, and project management jobs posted in the state of Ohio in the past 12 months (Burning Glass). These new jobs need trained technical workers, and local employers across the government, health, retail, and financial sectors are searching for talent with the skills needed to fill them.To help address this growing challenge, Google is partnering with Ohio to provide fundamentaldigital skills, Google Career Certificates, professional Google Cloud certifications, and more.
Google is enabling Ohio’s workforce system to support jobseekers in five key ways:
State employees and residents of Ohio alike are successfully using Google Cloud Skills Boost to grow their cloud skills. Hundreds of Ohio learners have successfully accessed Google Cloud Skills Boost, Google Cloud’s library of 700+ labs and courses to help simplify cloud skills. Right now, Google has made this library free for the first 30 days, enabling residents to start working toward certifications they need to fill cloud-based roles without added cost.
Learners in Google Cloud Skills Boost can earn certifications or simply brush up on skills they need professionally. Entirely online, the pace of learning is up to the user and covers everything from cloud basics to more advanced skills.
We’re making Google Career Certificates more accessible to Ohioans and the public and private sector community partners that serve and employ them. Thousands of Ohio-based learners are using Google Career Certificates to gain the skills they need to start careers in the career fields of data analytics, IT support, and project management, and user experience (UX) design. These are in-demand, well-paying career fields that employers and workforce development institutions across the public and private sectors are hiring for. The Certificates do not require prior experience or a degree, and 75% of graduates nationally report a positive career impact in their career trajectory (e.g., new job, raise or promotion) within six months of completion.2
Google has partnered with non-profit organizations and local education partners to increase awareness of Google Career Certificates and help Ohio residents take advantage of the courses, which are free for Community College and Career and Technical Education (CTE) high schools. Additionally, through our Employer Consortium, which includes Expedient, Pep Promotions, and many employers that hire within Ohio, we’re connecting Google Career Certificate program graduates who have job-ready skills with more than 150 employers across a diverse range of industries.
In Ohio, colleges and universities offer training and certifications through our Google Cloud Career Readiness Program and free Google Cloud Computing Foundations curriculum. By bringing Google Cloud into the classroom, we’re helping expose students to the cloud technology they’ll encounter in the workforce. We’ve also enabled faculty at 17 Ohio institutions to help their students access Google Cloud by issuing more than $225,000 of Google Cloud teaching credits.
Additionally, Google Career Certificates are free for all community colleges and career and technical (CTE) high schools to include in their curriculum. The American Council on Education (ACE) has recommended each certificate for up to 12 college credits, which gives Ohioans who have some post-secondary education but no college degree an affordable on-ramp to earning their diploma.
Tech skills don’t have to start at the university level, either. We’ve partnered with Ohio and several other states to help build digital skills for the future by bringing programs like Google Workspace into K-12 classrooms and helping teachers build lessons around digital literacy, coding, and more.
With the move to remote work becoming permanent for some, employers need to go beyond ensuring new hires have the skills needed to manage a digitally connected workplace. Agencies also want to be sure that their current employees have the skills they need to manage and make the most of cloud capabilities. One example: the Ohio Department of Jobs and Family Services secured licenses for their staff to get full access to on-demand Google Cloud training for 12 months, enabling their staff to build cloud skills on a flexible timeline. And anyone–State of Ohio employee or otherwise–can access Google Cloud Skills Boost for free for the first 30 days to build their own cloud skills.
In 2019, Governor Mike DeWine and Lt. Governor Jon Husted launched the State of Ohio’s TechCred program. This program gives Ohio employers the chance to upskill current and future employees, and two pathways already available through TechCred are Google’s Cloud certifications and the Google IT Support Certificate. Ohio employers who enroll their eligible employees in Google Cloud training or Google Career Certificates can be reimbursed up to $2,000 per credential once employees complete a Google Cloud certification or the Google IT Support Certificate. What’s great about TechCred is that employers can continually apply for funding. Funding rounds are typically held every other month and employers can receive up to $30,000 per round and up to $180,000 per year.
“Innovation and technology are changing what skills we need to start and lead a successful career, and we must help people efficiently earn the skills they need to succeed,” said Ohio Lt. Governor Jon Husted, Director of the Governor’s Office of Workforce Transformation. “This requires new ways to deliver education and skill development, and TechCred has proven to be an effective way to up-skill tens of thousands of Ohioans.”
Google is also investing in expanding its data center and Google Cloud region presence in central Ohio. These investments bring job opportunities as well as skilled workers to the state and help grow the local talent pipeline further.
What is happening in Ohio can happen in other states, too. As Ohio builds new training pathways to grow the local labor pool, other states can pick up their playbook. To learn more about how we’re helping create a more skilled workforce, visit the Google Learning page.
1 Source: Burning Glass Data
2 Based on program graduate survey responses, United States 2021
Read More for the details.
Digital technology promises transformative results. Yet, it’s not uncommon to encounter potholes and speed bumps along the way. One area that frequently trips up businesses is putting data into action. It can be extraordinarily difficult to take advantage of the right data at exactly the right time — in real time — to drive decision-making. For SAP customers wanting to maximize the value of their data, Google Cloud offers a number of capabilities.
BigQuery is a fully managed serverless, highly scalable, and cost-effective multi cloud data warehouse designed for business agility. BigQuery integrates, aggregates, and analyzes petabytes of structured and unstructured data.According to IDC, for SAP customers it delivers productivity benefits, IT staff efficiency gains, and IT infrastructure cost reductions that can together result in an ROI of 320% or more. With the release of our BigQuery Connector for SAP we’re adding to this offering with a quick, easy, and inexpensive solution where customers can now replicate SAP application data changes directly, in real-time, with low-latency into BigQuery.
Google Cloud Cortex Framework is a further enabler for SAP customers working to maximize the value of their data. It allows customers to kickstart insights and reduce time-to-value with reference architectures, packaged services, and deployment accelerators that guide you from planning to delivery, so you can get up and running quickly. Google Cloud Cortex Framework accelerator content can be utilized as a templatized solution from Google Cloud or one of our trusted partners for specific use cases and business scenarios.
Here’s a look at how six SAP companies tapped the power of BigQuery to transform their business operations and drive improved customer experiences:
ATB Financial. The Canadian financial institution turned to BigQuery to aid in a major data center modernization initiative. The company was looking to migrate from an on-premises data center to a more flexible and agile cloud framework that would support core SAP-based banking applications.
BigQuery introduced several sophisticated features, including the ability to acquire and ingest legacy data from a variety of internal and external sources at scale and in real-time, enrich data through advanced analytics and artificial intelligence, and enable self-service analytics and machine learning models. This is enabling ATB Financial to drive business insights from multiple data sources 117 times faster than its previous approach.
Breuninger. The luxury department store is among the most successful fashion and lifestyle retailers in Germany. It provides 15 premium services, including personal shopping assistance and a shuttle service. In order to support its high-touch, high-value business model, the company required informed and lightning-fast decision-making across the organization, including its 5,500 employees.
Google Cloud helped take Breuninger’s business model to the next level. With BigQuery and SAP, the retailer harnesses the full value of Google’s Kubernetes Engine to extract data from disparate sources in real-time. This includes loyalty card data along with delivery information. For example, sales managers know exactly when specific products reach key customers — and they can follow up with a personalized call or email.
Carrefour Belgium. A few years back, grocery retailer Carrefour Belgium, part of global Grocery giant Carrefour Group, found itself coping with an aging and increasingly outdated data center. It had systems divided into two separate clouds and, as a result, the company found it increasingly difficult to fully leverage data for advanced analytics across its 700 plus Belgian stores.
After migrating critical enterprise applications to an SAP S/4HANA application stack on Google Cloud, the company immediately gained visibility into everything from customer behavior and supply chain efficiency to financial metrics. Moving data into a single data lake also has driven significant value. This enables better assortment planning and price setting, ensures a seamless user experience, and helps the retailer offer exceptional digital experiences for its shoppers.
Herfy. Among Saudi Arabia’s largest and most successful food service companies, Herfy wanted to track 390 outlets scattered across the country along with franchises in Kuwait and Bangladesh. In the past, visibility and reporting functions were desperately lacking. As a result, the ability to react to changing business conditions lagged, while IT help-desk inquiries devoured precious time and resources.
After migrating its SAP S/4HANA system to Google Cloud, Herfy witnessed key benefits, including improved reliability, better security, and reduced costs. Herfy is now equipped to glean data insights from more than 2 billion records. This makes it possible to generate year-on-year reports that weren’t possible in the past, including on devices like Chromebooks. All told, Herfy has achieved a 50% reduction in the time needed to run material ledger for month-end financial closing and slashed IT helpdesk queries by 48%.
Lixil. Established in 2011 through a merger of five of Japan’s most successful building materials and housing companies, Lixil today is a global maker of water and housing products in more than 150 countries worldwide. The company had outgrown its on premises data center, and was looking to get more value out of its ballooning stores data, which was siloed among numerous in-house systems.
Lixil opted to migrate its SAP infrastructure (S/4 HANA) to Google Cloud, in part, to take advantage of BigQuery’s computing power, scalability, ease of use, and cost-effectiveness. The transition has paid immediate dividends for Lixil, which has been able to quickly utilize its data to contribute company value.
The Home Depot. The world’s largest home improvement retailer, with 2,300 stores and more than 500,000 associates, recognized a need to innovate and push high-quality information out to frontline employees and customers. Among other things, The Home Depot wanted to introduce an “interconnected retail” platform that would allow customers to start a transaction online and then complete it in a store.
The company chose Google Cloud and SAP to maximize speed, scale and flexibility. It migrated S/4HANA, a customer activity repository, general ledger, BusinessObjects, and several other applications to the platform. With BigQuery, The Home Depot now has sophisticated analytics capabilities and a single source of truth for supply chain data.
A growing number of organizations are recognizing the value that Google Cloud and BigQuery deliver for SAP customers. Google Cloud Cortex Framework further supports this journey with a foundation of endorsed solution reference templates and content for customers to accelerate business outcomes with less risk, complexity, and cost.
Can leveraging BigQuery drive value for your company? Download your copy of the IDC report now.
Read More for the details.
Editor’s note: February is Black History Month—a time for us to come together to celebrate the diverse set of experiences, perspectives and identities that make up the Black experience. Over the next few weeks, we will highlight Black-led startups and how they use Google Cloud to grow their businesses. This feature highlights DOSS and its co-founder, Bobby Bryant, a Forbes contributor and real estate expert who’s transforming the industry through powerful analytics and conversational AI.
Believe it or not, Conversational Artificial Intelligence (Voice) is the next paradigm shift. One day, in the near future, you’re not going to be typing as much into your smartphone or the keyboard with your desktop computer. I’m sure that’s great news for all the one-finger pecking typers out there. Conversational Artificial Intelligence (Voice) is unquestionably the future of how we are going to interface with digital devices, and that opens up vast business opportunities in all sorts of industries, including real estate.
I’ve been in real estate for over 20 years, and I can tell you that it’s an industry ripe for disruption. Coupling new approaches to delivering and charging for services with technologies like voice recognition creates new opportunities for agents, buyers, renters, sellers, and service providers.
Throughout the real estate process, people want to be able to ask questions easily, and quickly get answers they understand without feeling stupid. They want better information about neighborhoods, schools, mortgage options, home services , and other vital details in one place—all with the goal of finding the perfect home to create the best lives for themselves and their families.
Through a website and mobile app,DOSS offers consumers a voice-activated personal assistant that’s an expert in all things real estate. Leveraging natural language and artificial intelligence (AI) technologies, it provides personal, responsive experiences and instant answers on property buying, selling, and ownership. Users can ask questions by speaking or typing, tapping into a depth and breadth of data on property features and surroundings not aggregated on any other real estate portal.
For those seeking further information or interested in taking the next step with a REALTOR®, loan officer, or other specialists, DOSS asks users if they’d like to be put in touch with a local expert and choose how they’d prefer to be contacted. DOSS then connects the customer with an agent at our real estate brokerage, our in-house mortgage firm, and/or one of our vetted service providers that can fix, install, or service anything around the house.
In beta since early 2021, DOSS currently covers several major markets in Texas and North Carolina, with plans to expand across the U.S. by the end of the year. While we currently focus our revenue-generating activities around properties for sale and mortgages, we are broadening to include rentals, both long- and short-term, in addition to ancillary services for homeowners and renters.
Although everyone can easily use our platform, we’re admittedly looking to the current and next-generation of homeseekers, who are already used to doing everything from their smartphone or smart speaker. DOSS is currently increasing its users month over month. Unlike our competitors, DOSS reduces the high cost to transact real estate making the transaction for everybody more economical. This is one of the many reasons why more and more users are choosing to list, search, and service their home with DOSS.
When creating DOSS, we were inspired by Google as a market leader in AI with products such asGoogle Assistant. Because much of our solution is based on Google technologies, we decided to move our application hosting from Amazon Web Services to Google Cloud.
Even better, Google was happy to invest time and money into DOSS. I went through the three-month Google for Startups Accelerator for Black Founders program, which helped me build relationships with expert Google Cloud engineers and mentors. Since we’re bringing a mix of entirely new services to the real estate market, they’ve been instrumental in helping us solve problems that others in our industry haven’t yet addressed.
Today, we useDialogFlow for conversational AI, which helps us provide customers with more intuitive and lifelike experiences. We also use theTensorFlow library for machine learning development, andGoogle Maps Platform for our location-based features. And, I’m sitting here at a restaurant in Houston on an Android smartphone, using Google Workspace to communicate and collaborate with our dispersed DOSS team.
I am also a proud recipient of the Google for Startups Black Founders Fund, receiving $100k in capital along with Google Cloud credits, Google.org Ads grants, and incredible hands-on support to help keep us from spending too much time trying to solve problems on our own. We used the funds primarily for data, development, and server costs. We’ve raised $1.6M for our Family and Friends Round. And currently, we just launched our Seed Round ($5.5M). As a first time startup founder, raising capital is not easy! It’s an intimidating process that feels like a full-time job within itself. And at the same time, you have to grow a business, manage people, etc. The investment from Google was unbelievable. The benefits far exceed the monetary investment. From the affiliation and support to the Google Cloud credits, we are fortunate to have this opportunity.
I was very lucky! My parents were awesome, loving, strong, and supportive. Raised in Mobile, Alabama I eventually ventured out into a world that was routinely attempting to discourage and limit me. Fortunately, due to my upbringing, I knew I couldn’t be defined by other people’s ideas of what I could be, so I focused on my education and successfully completed two(2) Masters Degrees before I turned 30 years old. .
I often think of a quote from Audre Lorde, a Black woman, lesbian, and mother born in the 1930s, and who became a noted poet and civil rights activist. During a speech she gave at Harvard University in 1982, she said:
I took inspiration from my parents, change agents like Audre Lorde, and others as I defined myself for myself. I know who I am, and what I’m becoming. I understand my responsibility and how it can impact others. And, I’m built for everything I want and see for myself.
Along the way, I’ve found that there’s power in diversity, so I try to live an inclusive life. If you remove color, gender, sexuality and all the other boxes, I find that everybody equally wants unrestricted access to opportunities, to take care of themselves and their family. We all want the same thing, which is a chance to lead and live fulfilling lives. Give people opportunity, liberty, and a voice, and you’ll see thriving communities, cities, and states. But, it takes a profound sense of self, empathy, and respect for all people in general to create a better tomorrow for everybody.
Above all, to succeed, you have to believe in yourself. You have to put in the work! Focus on your strengths and develop them. I always try to instill hope in people that are facing and/or have faced obstacles and setbacks of a popular adage: It’s not how you start out in this world that matters. It’s how you finish. You must find the confidence and strength to believe that you are the one. That if your life is going to change, it’s up to you.
Hear DOSS founder Bobby Bryant chat with Google’s Head of Startup Developer Ecosystem Jason Scott and fellow Black Founders Fund recipients Del Smith and Tiffany Whitlow about building on Google Cloud in a recent Google for Startups Instagram Live.
If you want to learn more about how Google Cloud can help your startup, visit our page here to get more information about the new Google for Startups Cloud Program and sign up for our communications to get a look at our community activities, digital events, special offers, and more
Read More for the details.
Digital technology promises transformative results. Yet, it’s not uncommon to encounter potholes and speed bumps along the way. One area that frequently trips up businesses is putting data into action. It can be extraordinarily difficult to take advantage of the right data at exactly the right time — in real time — to drive decision-making. For SAP customers wanting to maximize the value of their data, Google Cloud offers a number of capabilities.
BigQuery is a fully managed serverless, highly scalable, and cost-effective multi cloud data warehouse designed for business agility. BigQuery integrates, aggregates, and analyzes petabytes of structured and unstructured data.According to IDC, for SAP customers it delivers productivity benefits, IT staff efficiency gains, and IT infrastructure cost reductions that can together result in an ROI of 320% or more. With the release of our BigQuery Connector for SAP we’re adding to this offering with a quick, easy, and inexpensive solution where customers can now replicate SAP application data changes directly, in real-time, with low-latency into BigQuery.
Google Cloud Cortex Framework is a further enabler for SAP customers working to maximize the value of their data. It allows customers to kickstart insights and reduce time-to-value with reference architectures, packaged services, and deployment accelerators that guide you from planning to delivery, so you can get up and running quickly. Google Cloud Cortex Framework accelerator content can be utilized as a templatized solution from Google Cloud or one of our trusted partners for specific use cases and business scenarios.
Here’s a look at how six SAP companies tapped the power of BigQuery to transform their business operations and drive improved customer experiences:
ATB Financial. The Canadian financial institution turned to BigQuery to aid in a major data center modernization initiative. The company was looking to migrate from an on-premises data center to a more flexible and agile cloud framework that would support core SAP-based banking applications.
BigQuery introduced several sophisticated features, including the ability to acquire and ingest legacy data from a variety of internal and external sources at scale and in real-time, enrich data through advanced analytics and artificial intelligence, and enable self-service analytics and machine learning models. This is enabling ATB Financial to drive business insights from multiple data sources 117 times faster than its previous approach.
Breuninger. The luxury department store is among the most successful fashion and lifestyle retailers in Germany. It provides 15 premium services, including personal shopping assistance and a shuttle service. In order to support its high-touch, high-value business model, the company required informed and lightning-fast decision-making across the organization, including its 5,500 employees.
Google Cloud helped take Breuninger’s business model to the next level. With BigQuery and SAP, the retailer harnesses the full value of Google’s Kubernetes Engine to extract data from disparate sources in real-time. This includes loyalty card data along with delivery information. For example, sales managers know exactly when specific products reach key customers — and they can follow up with a personalized call or email.
Carrefour Belgium. A few years back, grocery retailer Carrefour Belgium, part of global Grocery giant Carrefour Group, found itself coping with an aging and increasingly outdated data center. It had systems divided into two separate clouds and, as a result, the company found it increasingly difficult to fully leverage data for advanced analytics across its 700 plus Belgian stores.
After migrating critical enterprise applications to an SAP S/4HANA application stack on Google Cloud, the company immediately gained visibility into everything from customer behavior and supply chain efficiency to financial metrics. Moving data into a single data lake also has driven significant value. This enables better assortment planning and price setting, ensures a seamless user experience, and helps the retailer offer exceptional digital experiences for its shoppers.
Herfy. Among Saudi Arabia’s largest and most successful food service companies, Herfy wanted to track 390 outlets scattered across the country along with franchises in Kuwait and Bangladesh. In the past, visibility and reporting functions were desperately lacking. As a result, the ability to react to changing business conditions lagged, while IT help-desk inquiries devoured precious time and resources.
After migrating its SAP S/4HANA system to Google Cloud, Herfy witnessed key benefits, including improved reliability, better security, and reduced costs. Herfy is now equipped to glean data insights from more than 2 billion records. This makes it possible to generate year-on-year reports that weren’t possible in the past, including on devices like Chromebooks. All told, Herfy has achieved a 50% reduction in the time needed to run material ledger for month-end financial closing and slashed IT helpdesk queries by 48%.
Lixil. Established in 2011 through a merger of five of Japan’s most successful building materials and housing companies, Lixil today is a global maker of water and housing products in more than 150 countries worldwide. The company had outgrown its on premises data center, and was looking to get more value out of its ballooning stores data, which was siloed among numerous in-house systems.
Lixil opted to migrate its SAP infrastructure (S/4 HANA) to Google Cloud, in part, to take advantage of BigQuery’s computing power, scalability, ease of use, and cost-effectiveness. The transition has paid immediate dividends for Lixil, which has been able to quickly utilize its data to contribute company value.
The Home Depot. The world’s largest home improvement retailer, with 2,300 stores and more than 500,000 associates, recognized a need to innovate and push high-quality information out to frontline employees and customers. Among other things, The Home Depot wanted to introduce an “interconnected retail” platform that would allow customers to start a transaction online and then complete it in a store.
The company chose Google Cloud and SAP to maximize speed, scale and flexibility. It migrated S/4HANA, a customer activity repository, general ledger, BusinessObjects, and several other applications to the platform. With BigQuery, The Home Depot now has sophisticated analytics capabilities and a single source of truth for supply chain data.
A growing number of organizations are recognizing the value that Google Cloud and BigQuery deliver for SAP customers. Google Cloud Cortex Framework further supports this journey with a foundation of endorsed solution reference templates and content for customers to accelerate business outcomes with less risk, complexity, and cost.
Can leveraging BigQuery drive value for your company? Download your copy of the IDC report now.
Read More for the details.
As Google Cloud has become a choice for more startups, I’ve experienced an increase in founders asking how they should think about cloud services. Though each startup is different and requirements may vary across industries and regions, I’ve seen a few core best practices that help startups to succeed—as well as several traps to avoid.
For example, If you go with a public cloud provider, you’re ideally not starting from ground zero like you would running your own data center, but it’s important not to introduce similar complexity in a virtualized environment. Just because you’re using public cloud infrastructure doesn’t mean you want to manage it.
Instead, you want to leverage platforms that abstract away complexity so your team can focus on delivering value to customers. That’s where serverless comes in. Serverless platforms are fully managed by the provider, offering automatic scaling for workloads, as well as provisioning, configuring, patching, and management of servers and clusters. Freed from these resource-intensive tasks, your technical talent can focus on the things that differentiate your business, not on IT curation.
This applies to not only running stateless applications, but also managing and analyzing data. You should be collecting data points about which features are most popular on your platform, what people are buying, the types of activities that help your customers get their jobs done, and so on. This information is essential to building and executing on a product roadmap that will serve your customers. However, it’s not enough to collect this data, you need to make your data accessible, secure, and easy for your team to analyze—so where do you run and host it?
On Google Cloud, this is where options like Spanner and Cloud SQL can play a large role, as can BigQuery for analysis. You won’t have to worry about standing up infrastructure or patching servers—you can just stream your data to our data management platforms, where it’s available whenever someone needs to run a query. By leveraging a serverless architecture, your startup can be data-driven without having to invest in the traditional complexity of database administration and management—and that can significantly change your playing field.
Serverless is just one of the factors you should consider as you build out your tech stack. To hear my thoughts on a range of other topics relevant to startups — such as security, cloud credits, and the differences among managed services — check out the below video or visit our Build and Grow page.
Read More for the details.
Corner office or not, everyone seemed to need a break after 2021. Just like everyone else who spent the last two years juggling work-life balance, CIOs are among those deciding to call it quits.
The following is a transcript of an interview with Patrick Moroney, former CIO at Central States Funds, a provider of health insurance and pensions to unionized workers, on the first day of his retirement. Central States Funds was one of the first not-for-profit labor health funds in the U.S. Moroney is also founder and president of the Technology Leaders Association, and vice-chair of non-profit icstars.org. He shares some career highs and lows transforming IT, finding the parallels between today’s digital transformation to cloud and transformations that have come before. He also has some great career advice for IT professionals shooting for the c-suite (don’t neglect your network).
The following questions have been edited for clarity.
Q. How did you get your start in IT?
Patrick Moroney: My first IT role was as a programmer analyst, but I quickly realized that wasn’t for me. I am more comfortable leading and supervising a team. That role came at Monsanto, where I helped grow this tiny unit called NutraSweet from a $50m to $2bn business, helping them implement Digital’s all-in-one integrated email, calendaring and word processing environment across the organization. That was before email was really a thing and it was revolutionary for the company — how everybody could talk to each other — it picked up the speed of everything we were doing in a wonderful way. It got me known as the guy who could do these integrated suites.
Q. There’s a lot of talk of transformation these days. Looking back, are there any lessons you learned from past transformations you’ve been involved with that could be useful in today’s cloud era?
Patrick Moroney: At Monsanto, we had numerous solitary, unintegrated applications on mainframes like McCormack & Dodge and we put them on the ERP pathway so that all business functions could talk to each other. NutraSweet chose SAP … then Monsanto saw what we were doing and said how are you doing that in nine months? That was fast back then! And they took our model. They sucked senior leadership out of the business segments and made them part of a corporate shared service. I became part of the leadership group that led SAP implementations across the rest of the world for 35 Monsanto business units in 70 countries.
That SAP integration work aligned nicely with the then CEO Bob Shapiro’s vision to combine food, health and agriculture into a global life sciences powerhouse. I think today, the cloud gives us similar opportunities to leverage a shared service that we don’t have to micromanage or find and manage all the talents needed to accelerate complex integrations.
Then, when I joined Central States Funds, they had just won United Parcel Service as a customer and suddenly their business was looking at massive hockey stick growth. But on my first day I opened the drawer in my desk and found a deck of computer cards and the green IBM flowcharting template. My first thought was “oh my god” what have I done? The technology in place in 2013 was like The Land That Time Forgot — two water-cooled mainframes in a 12,000 square-foot data center. Just WordPerfect on the desktop, no Microsoft Office apps, no cybersecurity, no web. Many other modern company apps and systems needed to be built. My boss knew that to be able to handle a beast the size of UPS we needed to do something quickly.
So the 40 IT people that were there when I started are now about 200 with contractors. We got rid of the mainframes. We got rid of the datacenter. We moved into a couple of colos with an active-active network architecture; we’re in our fifth or sixth iteration of web services, we built the cyber environment. We added business continuity planning and disaster recovery, which didn’t exist before. Basically [we] started a brand new company because what was needed was to go from 1981 to 2013 — matching everything peers like United, Aetna, Cigna, Anthem, Blue Cross were doing. Our customer, UPS, had lots of young drivers who were very mobile-friendly and very comfortable with technology and we had to meet their expectations. We needed to be that company overnight. And so I dragged all my business partners in the pool with me and said, this is what we need to do, and it’s going to be crazy and wild and for the first couple of years, it absolutely was but everyone was on board for modernizing so it worked great.
Q. What a ride. Thanks for sharing that. In the spirit of learning from failures as well as successes, can you share one or two lowlights from your career, or transformations that didn’t play out as you anticipated?
Patrick Moroney: After Monsanto I went to ServiceMaster [a facilities services provider]. I was brought on to be the corporate shared service consolidator for all this cost — it was JD Edwards at the time that they were trying to consolidate everything on, but they started the process too late and the business financials basically said, it’s not going to work. We ran out of time. We sold our core business and the need for a corporate consolidator became moot.
Fortunately, I had a network of contacts in the industry and that network shortened the time from when my job at ServiceMaster ended and I got the next job as CIO at Health Care Services Corporation [a consolidator of Blue Cross Blue Shield plans].
Networking — having an active, viable network — is both a professional necessity and a personal joy for me. I have become a nag for networking because I have benefited so many times from it. I couldn’t have done what I did at Central States if I didn’t know the people that I had to convince to be on the ground in a month.
It is a skill that most people don’t prioritize because they think they’re taking time away from their job when actually your job will benefit from your network. You will have access to knowledge and people who know things that you don’t when you need it. You can access other people’s experience and go to town on their experience rather than having to reinvent the wheel all the time. You will have access to talent that you need and you will be able to walk into a room of people that you know, and who know you. You can count on them. They trust you, you trust them and that becomes a karmic circle that keeps giving. And you know, things are changing fast.
Q. How would you describe the role of the CIO today and what other advice would you give to people who want that job someday?
Patrick Moroney: You are a teller of the future and a preparer for tomorrow. You must be a lifelong learner. You need to be the person who sees around future corners. If you are not passionate about consuming information you’re in the wrong job. The CIO needs to be valued by their partners. You need to understand enough about your business partners’ business areas to be useful and credible. You need to be credible to your CEO, who’s got similar enterprise-wide responsibility. You need to be credible to your team. You need to know enough about the technology, how it works and where it’s going to be viewed as a credible leader. When you become a CIO, your job shifts from being more internally focused to externally focused. The external becomes even more important in my opinion, to be an effective leader in these times of exponential change.
Q. Why walk away now and how does it feel to be retired?
Patrick Moroney: I did stay an extra two years in the job to help the company through the pandemic. I had “the lunch” with my boss, we planned an eight month transition which I started, then the pandemic hit. As far as retirement goes, I’m not using that word. I’m not that person sitting on the park bench feeding the pigeons.
Q. Okay. What’s wrong with chilling out “feeding the pigeons”?
Patrick Moroney: Oh, nothing. It’s just not me and there’s plenty of people doing that. The pigeons are probably getting fat these days … with everyone quitting.
Read More for the details.
Last year, we analyzed the aggregate data from all customers across Google Cloud, and found over 600,000 gross kgCO2e in seemingly idle projects that could be cleaned up or reclaimed — which would have a similar impact to planting almost 10,000 trees1. Today, we’re making it easy for you to identify if any of those idle workloads are yours, with new Active Assist sustainability recommendations.
Active Assist is a part of Google Cloud’s AIOps solution that uses data, intelligence, and machine learning to reduce cloud complexity and administrative toil. Under the Active Assist portfolio, we have products and tools like Policy Intelligence, Network Intelligence Center, Predictive Autoscaler, and a collection of Recommendations for various Google Cloud services — all focused on helping you achieve your operational goals. Today, we are broadening the scope of Active Assist to help you achieve your sustainability targets and reduce the carbon footprint of your workloads.
The carbon emissions associated with your cloud infrastructure can be a big part of your overall environmental footprint. Choosing to run on Google Cloud is a great first step — we’ve matched the energy used by our data centers with 100% renewable energy since 2017, and are committed to running our operations on carbon-free energy 24/7 by 2030. But once you’re running on Google Cloud, if you want to reduce the gross carbon emissions of your workload you can take action to optimize your usage.
You can now estimate the gross carbon emissions you’ll save by removing these idle projects with Active Assist Unattended Project Recommender, which provides rich utilization insights for all the projects in your organization, and uses machine learning to identify ones that are idle and most likely unattended. The data points Active Assist surfaces as a part of its utilization insights now include the carbonFootprintDailyKgCO2 field, which allows you to estimate carbon emissions associated with any given project. Recommendations also estimate the impact of removing an idle project in terms of kilograms of CO2 reduced per month.
The capability is available via the Recommender API, Recommendation Hub, the Carbon Footprint dashboard, and BigQuery export of recommendations, making it easy for you to integrate with your company’s existing tools and workflows.
Increasing the sustainability of digital applications and infrastructure is a priority for 90% of global IT leaders2, and we’ll be continuing to invest across a number of product areas in Google Cloud, including AIOps features like Active Assist’s recommendations, to help you make progress towards your sustainability goals. To make it easy for you to find and consume these new features, we’re bundling our existing and future product work into the Carbon Sense suite — a collection of features that makes it easy to accurately report your carbon emissions, and reduce them. Active Assist joins products like Carbon Footprint, which provides you with the ability to understand and measure the gross carbon emissions of your Google Cloud usage, and our low-carbon signals, which help users choose cleaner regions to run their workloads, in the Carbon Sense suite. Stay tuned for more updates on Carbon Sense in the coming months.
To get started with Active Assist sustainability recommendations, check the Carbon Footprint dashboard and Recommendation Hub to review projects that may be idle and assess the carbon emissions associated with them. See recommendations in Google Cloud Console.
To view the recommendations, you will need IAM permissions for Unattended Project Recommender itself and permissions to view resources in a given organization.
You can also automatically export the recommendations from your Organization to BigQuery and then investigate any idle projects with DataStudio or Looker. Or, you can use Connected Sheets to use Google Workspace Sheets to interact with the data stored in BigQuery without having to write SQL queries.
As with any other Recommender, you can choose to opt out of data processing for your organization or your projects at any time by disabling the appropriate data groups in the Transparency & Control tab under Privacy & Security settings.
We hope you use Unattended Project Recommender to reduce the carbon footprint associated with your idle cloud resources, and can’t wait to hear your feedback and thoughts about this feature! Please feel free to reach us at active-assist-feedback@google.com. We also invite you to sign up for our Active Assist Trusted Tester Group if you would like to get early access to new features as they are developed.
1. https://www.epa.gov/energy/greenhouse-gas-equivalencies-calculator
2. https://inthecloud.withgoogle.com/it-leaders-research-21/sustainability-dl-cd.html
Read More for the details.
Editor’s note: The video platform Vimeo leverages managed database services from Google Cloud to serve up billions of views around the world each day. Here’s how they deliver a consistent user experience across all their content.
Vimeo is the world’s leading video software solution, powering hundreds of thousands of new uploads every day and billions of views. At our scale, it’s paramount that we retain a seamless user experience across all of the videos hosted, shared, and viewed on our platform. With managed database services from Google Cloud, we’ve been able to deliver a consistent and reliable user experience no matter where our users and their audiences are.
Our first exposure to Google Cloud was the excellent performance between Google Compute Engine (GCE) and Google Cloud Storage (GCS), which we used to design a really high quality playback and upload environment for our customers’ videos. At first we were simply creating cloud-based packaging and delivery of their content, but the bulk of our application ran on an on-premises MySQL database. Seeing the gains from our initial investment in GCE and GCS, we decided to fully migrate to Google Cloud.
We started by lifting and shifting our workloads from our on-premises deployments to GCE. But we quickly realized we had to redesign our application to deliver higher availability and responsiveness for an exceptional user experience, which led us to Cloud Spanner, a distributed SQL database management and storage service. With Spanner, we found all the benefits of a relational semantics database with global scale, allowing us to add more nodes with the push of a button.
Today we have a multi-region instance with 99.999% uptime, so we’re confident it can handle our video workloads. We use about 16 Spanner nodes to cover approximately 50.8 billion rows and about 4.5 terabytes of storage/disk space. And with the launch of Video Library, we have the scale we need to fundamentally change the way organizations handle content.
During the initial migration, we wanted to ensure an accurate data transfer with as few errors or bugs as possible. When we moved data from MySQL tables into Spanner, we ran spot analyses to check for potential problems. If the data didn’t match, Spanner allowed us to revert to the original in a single click. Through Spanner we could check stale timestamps or past users. It almost functioned like a time machine by offering point-in-time recovery functionality.
We work with a long tail of content. Depending on how popular a video is, we take a different approach to storing it. We cache the most popular material so it’s immediately accessible and useCloud Spanner to ensure it’s highly available across multiple regions. On the flip side, we useCloud SQL for some lower volume satellite services that support other components of the application that don’t require the same guarantees or performance that Cloud Spanner provides.
As our millions of users continue to upload their own videos, Spanner also acts as a video metadata indexing and cataloging service. When we need to play back a particular video, we can quickly and easily find it in a sea of content. It’s crucial that our database is highly available and reliable so the playback experience is seamless for our users.
To learn more about Vimeo, visitour site.
Learn more about how your organization can use Cloud Spanner.
Read More for the details.
The broadcasting industry has gone through many evolutions since its inception. From linear over-the-air (OTA) to digital & personalized, to standard to ultra high definition, these evolutions were driven by increased demand from viewers who want more choices. The next evolution is happening now, driven by the emergence in cloud computing in a globally connected world. Broadcasters are understanding that the key for long-term success is embracing technical agility while they innovate their business models. Google Cloud technologies can provide a path for continual transformation, empowering broadcasters a multitude of ways to chart their own growth.
As broadcasters evolve their business models and operations for a digital future, evaluating both financial alongside operational benefits will lead to the best outcome. Legacy and siloed media supply chains restrict the ability to deliver content quickly across multiple consumption platforms. By understanding how cloud capabilities can provide cost savings, allow for more efficiency and scale, and open new revenue streams, broadcasters can harness flexible cloud technologies while achieving cost savings and increasing revenue.
Over the last few years we have seen tremendous growth from media companies migrating their supply chains to the cloud. Today, there exists a whole ecosystem of media technologies that are built to take advantage of the cloud. “Does it work on the cloud?” is no longer driving the conversation. Rather, media companies now want to understand how Cloud can integrate with their business and drive better business outcomes.
Over the last years we have partnered with leading media companies including Grupo Globo, TelevisaUnivision and others to not only migrate their content supply chain to the cloud, but also leverage cloud capabilities to innovate their services to:
Increase and streamline content production
Distribute personalized content at planet scale
Forge deep relationships with their audiences
Identify new monetization opportunities
M&E companies need to be able to provide more content at a quicker pace, with experiences that are seamless and exciting to viewers to retain their attention and dollars. Moving legacy systems and processes to the cloud is an organization-wide commitment, and the journey can pay off financially, while providing M&E companies valuable industry capabilities. With Google Cloud business value engagement framework, we partner to identify where there are opportunities in cost, output, and impact that IT can have.
Below are some examples of how we have worked with our customers to map organization optimizations to business drivers
Our focus with customers is to help identify and understand the challenges that Media & Entertainment companies have in moving to the cloud, and coming up with the plan and solutions that Google can do to overcome them. Together we commit to understanding your business, both where you are right now in your IT capabilities as well as the progress you want to make to continue providing the best digital capabilities to clients and employees.
As broadcasters move more processes and solutions to the cloud, the exponential effect of harnessing data and AI power will provide incremental business value across all lines of business. Combined, these impacts to a broadcaster allow both operational excellence while optimizing costs as they continue to expand offerings to customers and regions around the world.
We recognize that every media company’s journey is different and so are expected business outcomes. Google Cloud works closely with customers – partnering every step of the way – to align technology, the media industry, and business outcomes.
Read More for the details.
Amazon CodeGuru is a developer tool powered by machine learning that provides intelligent recommendations to detect security vulnerabilities, improve code quality, and identify an application’s most expensive lines of code.
Read More for the details.