Google Cloud Migration Speeds Up The New York Times' Journey to New Normal - Build What's Next
Case Study

Google Cloud Migration Speeds Up The New York Times’ Journey to New Normal

5798

Of your peers have already read this article.

2:30 Minutes

The most insightful time you'll spend today!

The New York Times' Google Cloud and BigQuery journey transformed their data architecture. It helped build and leverage comprehensive datasets to allow newsrooms to operate at speed and quickly adapt to the new normal. Learn how.

Like virtually every business across the globe, The New York Times had to quickly adapt to the challenges of the coronavirus pandemic last year. Fortunately, our data system with Google Cloud positioned us to perform quickly and efficiently in the new normal. 

How we use data

We have an end-to-end type of data platform; on one side we work very closely with our product teams to collect the right level of data that they’re interested in, such as which articles people are reading, and how long they’re staying onsite. We frequently measure our audience to understand our user segments, and how they come onsite or use our apps. We then provide that data to analysts for end-to-end analytics. 

On the other side, the newsroom is also focused on audience, and we build tools to help them understand how Google Search or different social promotions play a role in a person’s decision to read The New York Times, and also to get a better sense of their behavior on our pages. With this data, the newsroom can make decisions about information that should be displayed on our homepage or in push notifications. 

Ultimately, we’re interested in behavioral analytics—how people engage with our site and our apps. We want to understand different behavioral patterns, and which factors or features will encourage users to register and subscribe with us. 

We also use data to create or curate preferences around personalization, to ensure we’re delivering to our users fresh content, or content that they may not have normally read. Likewise, our data also gets used in our targeting system, so that we can send out the right messaging about our various subscription packages to the right users.

Choosing to migrate to Google Cloud

When I came to The New York Times over five years ago, our data architecture was not working for us. Our infrastructure was gathering data that proved harder for analysts to crunch on a daily basis. We were also hitting hang ups with how that data was streaming into our system and environment. Back then we’d run a query and then go grab some coffee, hoping that the query would finish or give us the right data by the time we came back to our desks. Sometimes it would, sometimes it wouldn’t.

We realized that Hadoop was definitely not going to be the on-premises solution for us, and that’s when we started talking with the Google Cloud team. We began our digital transformation with a migration to BigQuery, their fully managed, serverless database warehouse. We were under a pretty aggressive migration timeline, focusing first on moving over analytics. We made sure our analysts got a top-of-the-line system that treated them the way that they themselves would want to treat the data. 

One significant prominent requirement in our data architecture choice was to enable analysts to be able to work as quickly as they needed to provide high-quality deliverables for their business partners. For our analysts, the transition to BigQuery was night and day. I still remember when my manager ran his very first query on BigQuery and was ready to go grab his coffee, but the query finished by the time he got up from his chair. Our analysts talk about that to this day.

While we were doing the BigQuery transition, we did have concerns about our other systems not scaling correctly. Two years ago, we weren’t sure we’d be able to scale up to the audience we expected on that election day. We were able to band-aid a solution back then, but we knew we only had two more years to figure out a real, dependable solution. 

During that time, we moved our streaming pipeline over to Google Cloud, primarily using App Engine, which has been a flexible environment that enabled quick scaling changes and requirements as needed. Dataflow and Pub/Sub also played significant roles in managing the data. In Q4 of 2020 we had our most significant traffic ever recorded, at 273 million global readers, and four straight days of the highest traffic we’ve had compared to other election weeks. We were proud to see that there was no data loss.

A couple of years ago, on our legacy system, I was up until three in the morning one night trying to keep data running for their needs. This year, for election night, I relaxed and ate a pint of ice cream because I was able to more easily manage our data environment, allowing us to set and meet higher expectations for data ingestion, analysis and insight among our partners in the newsroom.

How COVID-19 changed our 2020 roadmap 

The coronavirus pandemic definitely wasn’t on my team’s roadmap for 2020, and it’s important to mention here that The New York Times is not fundamentally a data company. Our job is to get the news out to our users every single day in paper, on apps, and onsite. Our newsroom didn’t expect the need to build out a giant coronavirus database that would enrich the news they share every day. 

Our newsroom moves quickly, and our engineers have built one of the most comprehensive datasets on COVID-19 in the U.S. With Google, The New York Times decided to make our data publicly available on BigQuery Google’s COVID-19 public dataset. Check out this webinar for more details on our evolution architecture:https://www.youtube.com/embed/mtNlrFpschU?enablejsapi=1&

Flexible approach

We have many different teams that work within Google Cloud, and they’ve been able to pick from the range of available services and tailor project requirements keeping those tools available in mind.

One challenge we think about with the data platform at The New York Times is determining the priorities of what we build. Our ability to engage with product teams at Google though the Data Analytics Customer Council allows us to see into the BigQuery roadmap, or the data analytics roadmap, and plays a significant role in determining where we focus our own development. For example, we’ve built tools like our Data Reporting API, which reads data directly from BigQuery, in order to take advantage of tools like BigQuery BI Engine. This approach encourages our analysts to be better managers of their domains around dimensions and metrics, but not have to focus on building caching mechanisms of their data. Getting that kind of clarity helps us plan how to build The New York Times in the new normal and beyond.

If you are interested to learn more about the data teams at the New York Times, take a look at our open tech roles here and you’ll find many interesting articles at NYT data blog.

Case Study

If You Run Your Country’s Largest Retail Franchise, How Do You Pull Together, in Sync?

6307

Of your peers have already read this article.

9:30 Minutes

The most insightful time you'll spend today!

Tired of failing email systems, South Africa’s largest electrical retail franchise switched to G Suite. The move eliminated email downtime, enabled cross-company assessments on dashboards, faster sharing of ideas, and seamless administration.

In 1984, Mario Maio set up a small business manufacturing electrical transformers in his Johannesburg garage. Over the next two decades, the ACDC Dynamics company he created came to dominate manufacturing, import, and distribution in South Africa’s electrical goods sector. Then, in 2007, Mario’s son, Ricardo Maio, founded a retail arm to the business, ACDC Express. Today ACDC Express is South Africa’s largest electrical retail franchise, with 29 franchise stores across the country. Eight of those franchises joined in 2017 alone, and ACDC Express is experiencing quarter-on-quarter growth of 28% per year.

Rapid expansion increases the demands on the ACDC Express central administration, which provides each franchise with IT support and a full suite of marketing, operational, and bookkeeping functions. So when email server downtime became a frequent problem, Ricardo and his team chose G Suite to transform the way the franchise worked.

“We lost revenue when our email servers went down. When I researched Google’s SLA of 99.9% uptime and experimented with G Suite on my private Gmail account, I could see the difference this technology could create.”

Ricardo Maio, CEO, ACDC Express

“On consecutive occasions, our entire email server went down,” says Ricardo Maio, CEO at ACDC Express. “It would take more than one or two days to bring it back up. We had already highlighted software cost overhead as a potential thing to reduce, so when that happened several times within a short period, we knew it was time to make a change.”

Building a better franchise

Franchise businesses undergoing rapid expansion must respond quickly to the demands of new stores. At ACDC Express, 33 staff run the national franchise, delivering core services and support to 29 franchises across the country. Key tasks, such as updating the operations manual, were hampered by a reliance on paper forms and mail services, while email servers experienced repeat failures, which compromised communication. By implementing new, cloud-based productivity tools, ACDC Express looked to cut down on slow and expensive practises, and deliver an agile, reliable online communications platform.

To do that, ACDC Express migrated its franchise to G Suite with Opennetworks. “We lost revenue when our email servers went down,” says Ricardo. “When I researched Google’s SLA of 99.9% uptime and experimented with G Suite on my private Gmail account, I could see the difference this technology could create.”

Since moving to Gmail, ACDC Express reports that the problem of email server downtime “is no longer existent for us,” while with Google Drive, versioning problems have been resolved. Using surveys on Google Forms, ACDC Express quickly and easily collects data from stores and customers—whether they are in stores or on the road—and populates Google Sheets with the information.

“Our operations manual is a binding document, and it’s a living document that gets regularly updated. In the past, we would struggle to track which franchise had which version. With Google Drive, we can be sure that everyone is looking at the right one.”

Ricardo Maio, CEO, ACDC Express

With Google Data Studio, the managing team then consolidates that data on dashboards, creating snapshots of performance, complete with averages and simple comparisons, which make it easy to spot issues and outliers in need of attention. Individual businesses that do require help are then contacted over Google Hangouts Meet to assess what they need, part of a culture of sharing expertise, which Ricardo sees as key to the franchise mode.

“As a franchise, sharing knowledge is as important as maintaining control,” he says. “If there’s a new procedure or system that worked in one store, we can immediately update our manuals and documentation so that everyone has access to it. That’s been fantastic.”

“Our operations manual is a binding document, and it’s a living document, which gets regularly updated,” says Ricardo. “In the past, we would struggle to track which franchise had which version, and every time we had to make a change we would print out a version and send it to stores through an unreliable postal service. With Google Drive, we can be sure that everyone is looking at the right one.”

Remote training, rapid migration

Rolling out new IT tools across a franchise is often expensive, demanding extensive travel and numerous training sessions, which often repeat the same material. Instead, ACDC Express set up training on Google Hangouts that staff could drop into at their convenience, creating a cost-effective training schedule, which meant individual stores could plan their own learning process.

“When we moved to G Suite, we did it all at once, with every employee changing at the same time. We took a band-aid approach, switching to the new tools as rapidly as possible. After six months of training, there have been no reported problems with G Suite at all.”

Ricardo Maio, CEO, ACDC Express

“The whole benefit of franchising is that you can learn from your peers,” says Ricardo. “When we moved to G Suite, we did it all at once, with every employee changing at the same time. We took a band-aid approach, switching to the new tools as rapidly as possible. After six months of training, there have been no reported problems with G Suite at all.”

More mobile, more reliable

Today, ACDC Express operates 240 Google accounts, and information from the franchises’ marketing systems, research, operations, and accounting is fed back automatically to Google Sheets and Google Dashboard at the headquarters in Edenvale, Gauteng. By Ricardo’s estimation, the administrative team is now so effective with G Suite tools, it can achieve twice as much as it could without them.

Now, ACDC Express is looking to use Google Chromebooks in a new web-based point-of-sale system, and considering moving its ERP onto Google Cloud Platform for greater stability, in another project with Opennetworks.

“We’ve developed an in-house point of sale system that’s web-based and can use a functional touchscreen,” adds Ricardo. “We’re looking at rolling that out with Google Chromebooks. We really like how straightforward and simple the Google Chrome devices are, and because we’ve taken a lot of infrastructure into the cloud, we no longer actually need physical machines on our counters. We can work anywhere. That’s something that applies from our head office right down to our smallest franchise store.”

Case Study

Largest Beauty Retailer in the US Powers Digital Transformation with Google Cloud Smart Analytics

9259

Of your peers have already read this article.

3:15 Minutes

The most insightful time you'll spend today!

Leaders at Ulta Beauty, a chain with over 1196 stores in all 50 US states, knew they had an opportunity to leverage data analytics and machine learning to reach customers in new ways, enhance the guest experience, and continue to grow their active loyalty member base. They partnered with Google Cloud.

Digital technology offers increasing flexibility and choice to consumers. As a result, the retail industry is dramatically shifting toward more tailored and personalized experiences for shoppers, and businesses are rethinking how they deliver value to customers.

This couldn’t be more true for the beauty retailing industry where leading companies are turning to digital technology to create customized shopping experiences.

At Google Cloud, we’re particularly excited about our work with Ulta Beauty, the largest beauty retailer in the United States with more than 1196 stores in all 50 states, and how the company is using Google Cloud technology solutions to power personalization and redefine beauty retailing.

Established in 1990, Ulta Beauty has had incredible success as a company, and as customers become more discerning and curious about their purchases, the company is finding new ways to meet their changing needs.

Recently, leaders at Ulta Beauty recognized a huge opportunity to complement and enhance the shopping experience by helping beauty enthusiasts navigate through more than 500 brands and 25,000 products carried in their stores and online channel.

They decided to leverage the data from Ulta Beauty’s successful Ultamate Rewards loyalty program to create and offer more unique and personalized user experiences.

With more than 30 million members generating data through sales, transactions, product reviews, and social media engagement, Ulta Beauty’s Loyalty Program creates a comprehensive data set, and the company sought the right technology partner to help organize, analyze and transform that data into valuable insights for its customers.

Ulta Beauty’s leaders knew they had an opportunity to leverage data analytics and machine learning to reach customers in new ways, enhance the guest experience, and continue to grow their active loyalty member base. After considering a number of cloud providers, they chose to expand their existing partnership with Google Cloud.

“Google Cloud listened to our needs and worked in tandem with our engineering team to address our challenges,” said Michelle Pacynski, vice president of digital innovation at Ulta Beauty. “The ease of working with the Google Cloud team and their breadth of experience made the decision a no-brainer, laying the foundation for a great partnership.”  

In 2019, Ulta Beauty announced it was working with Google Cloud Platform to unify and organize its data, using:

  • BigQuery to perform data analysis and generate dynamic content, personalized product recommendations, and event-based messages for customers.
  • Cloud Storage to provide highly available, secure, resilient and cost-effective access to data across the entire enterprise.
  • Compute Engine for the high-performance scalability needed to grow with customer demand while painlessly migrating existing applications to the cloud.
  • Anthos to build a hybrid cloud foundation that allows their applications to take advantage of all this data, combining the power and flexibility of GKE with the ability to leverage their existing investment in secure infrastructure on-premises.

Our partnership with Ulta Beauty has enabled increased engagement with customers in store and online, and the creation of new tools and capabilities, including a new Virtual Beauty Advisor tool to deliver tailored recommendations and help shoppers choose the right products, and a Customer Conversation Platform that’s enabling deeper connections with guests, ultimately driving customer loyalty.

“It’s been a really efficient process so far due in part to the ease of working with the Google team,” said Michelle Pacynski, vice president of digital innovation at Ulta Beauty. “They’re experienced, approachable, and their can-do style makes for a great partnership. They listened to our needs and worked in tandem with our engineering team, figuring things out, and getting it done.”

Whitepaper

Analyze and Evaluate Migration Strategies with Google

DOWNLOAD WHITEPAPER

1098

Of your peers have already downloaded this article

5:30 Minutes

The most insightful time you'll spend today!

In this whitepaper, we outline migration frameworks that we built based on conversations we’ve had with CIOs, CTOs, and their technical staff. The goal of these frameworks is to help you devise a migration strategy that empowers both IT and the business.

Learn how to analyze migration strategies for your business, including:

  • Moving up the stack before you migrate
  • Migrating workloads into the cloud (mostly) as is
  • Optimizing and modernizing workloads once you’ve migrated
Blog

5 Features IT Departments Love About Google Cloud

3660

Of your peers have already read this article.

5:30 Minutes

The most insightful time you'll spend today!

From naturally grouping resources together to easy-to-implement firewalls, here are five Google Cloud Platform features that get enterprise IT users to say: “now, that’s cool!”.

Throughout the past couple of years, I have helped a good number of companies, big and small, migrate their systems to the Google Cloud Platform (aka GCP). During the course of these migrations, there are always a few of those moments where people look at a specific Google Cloud feature and say, “now, that’s cool!”.

More often than not, it is because, coming from other platforms, they have gotten used to some features requiring multiple steps, or some operations being complicated, etc. And often they find out that in GCP you can do this specific operation in a couple of clicks, or by setting up a simple text-based configuration. Then you see that light bulb turning on in their head, and there you go… happy customer.

A few of these happen so often that I compiled them in a list to share with others who might also benefit from these “aha!” moments. You could say these are the five things I wish they told me when I started using Google Cloud.

Projects: Naturally Group Resources Together

A project is a namespace where resources live. Every resource you instantiate in GCP, from load balancers to Kubernetes clusters to virtual machines, belongs to a single project, and has no access (by default) to resources in other projects. User roles and authorisations can be defined per-project and trickle down to everything in it. This has two immediate benefits: you can group things that belong together in neat logical units, and things that don’t belong together are isolated from each other (and isolation is a Good Thing)

This is powerful and quite simple, but it often takes new users off-guard. I’ve had many clients call me and ask me “How can I make sure my developers cannot access the production machines? What’s the best way to create access policies? ”

The answer to this is actually super-simple:

  • have a project for development where your developers have rights,
  • have a project for production where they don’t.
  • That’s it.

Every machine/other resource in the production project won’t be accessible to developers.

Of course there is a lot more to it, and you can refine roles and permissions to a much greater degree using Organizations, Folders, etc. Not to mention all the crazy things you can do with per-project billing. But at least you can say “hey, if it’s a machine in the staging environment then it can be found in the “staging” project”.

Global Virtual Networks Are *Truly* Global

Imagine you are using a Cloud provider and that you have servers in the US, and servers in Singapore, and that they need to communicate.

So you create a VPC (Virtual Private Cloud) network in the US data center, another one in the Singapore data center, and then you will connect them by setting up inter-region VPC peering or a VPN (Virtual Private Network) or a transit VPC or other routing magic.

Lots of work, right? And many moving parts, so lots of opportunities for things to break.

With GCP, however, what makes my clients go “aha!” is when they realize that in GCP a single VPC network covers the entire planet. Only subnets are attached to a geographic location, and virtual machines communicate between subnets on private IPs (good old RFC1918 addresses) — no extra routing needed.

So, to make your server communicate across continents on GCP, here are the steps:

  • create a VPC network
  • create a subnet in the US, put your US servers in it
  • create a subnet in Singapore, put your Singapore servers in it

That’s all there is to it. Your VPC network spanning 2 continents is ready to use. Below is a screenshot of how it looks on my account, for a VPC network called ‘my-global-network’ with 2 subnets. The first column (“us-central1” and “asia-southeast1”) contains the name of the GCP regions (read: data centers). The second column is the subnet name that I picked when I created them.

A machine in the US (on the “us-central” subnet) with IP 10.0.0.5 can communicate directly with a machine in Singapore (on the “singapore”) subnet with IP 10.10.0.8.

Nothing else to set up.

And thanks to the way these networks work, the Google Cloud Load Balancer can present a single IP to the world, and forward traffic to the instances that are the closest to you geographically without having to setup a tedious DNS-based load balancing. But that’s worth an entire blog. I’ll save it for another day.

Firewalls with Tags and (Almost) No IP Addresses

There is no network security without a firewall so unsurprisingly GCP comes with one built-in.

Now, I don’t know about you, but nothing makes my brain hurt like a list of firewall rules displaying IP ranges and addresses and ‘Allow/Deny’ directives. It looks a bit like this:

An IP-based set of firewall rules

If you imagine a normal network with a few dozen (hundred?) servers, you can quickly see how this can get out of control. You’d better have a solid printout of your network layout to refer to when you start adding and changing rules. And good luck debugging things!

Wouldn’t it be nice if, instead, you could just tell the firewall: “the HTTP traffic from outside can only reach the HTTP servers and the MySQL database is only reachable by the HTTP server(s) on the same network?”

Turns out it’s pretty simple on GCP by using a little thing called network tags. As the documentation says:

“Network tags are text attributes you can add to Compute Engine virtual machine (VM) instances. Tags allow you to make firewall rules and routes applicable to specific VM instances.”

So let’s see how it works. Firewall rules in GCP are defined in terms of source and target (the traffic flows from the source to the target). You can define filtering rules that apply to the source or the target, and in both cases you can use tags.

This is simpler shown with an example. The rule below states that on the default network, the traffic to the VMs with the tag mysql-server can come from the VMs with the tag http-appserver. Any other traffic is “Deny”-ed by default.

All you have to do is to tag your machines properly, and they will automatically be covered by the rule. You don’t need to enter their IP range.

That’s neat if you ask me. It makes it a lot simpler to grasp what’s happening.

Of course, there’s a TON more to firewalls in GCP. Tags also apply to routes and you can mix and match IP-based rules with tag-based rules. Not to mention that thing called service accounts, but I’ll leave those for another day.

The bottom line is that you can create most rules by just expressing a business need and not having to remember complicated network layouts. I have no hard stats, but I’m pretty sure this has saved me hours of work.

Console Access to VMs from the Browser

Easily access virtual machines (VMs) from the Google Cloud console was one of my first “aha!” moments when I started using GCP.

This is a screen capture of my Google Cloud console, with a virtual machine and its internal IP.

The last column has a header that says “Connect” and when you click on the word “SSH” a separate windows pops up. You wait for a few seconds, and… this is what you get. Your personal shell access — in a browser popup no less.

You are connected through ssh to the virtual machine of your choice. You did not have to download ssh keys and put them in the ~/.ssh directory, do the correct chmod command and run a long-winded ssh -i ~/.ssh/somekey me@<it-took-me-forever-to-copy-paste-the-address-here>

In addition, you have access to a few nifty features such as uploading and downloading files, changing the user etc. Just use the menu behind the cog icon at the top right.

In truth, you should not need to connect directly that often, but when you have to, this is a godsend.

Your Personal Jumphost from the Google Cloud Console

The Google Cloud console has a cool trick: you can actually connect to a virtual environment that is managed by the Google Cloud console itself. It serves a bit as a jump host. You can access most resources from the projects from it, and you can activate it directly from the top menu with, no particular setup on your side. It’s called the Cloud Shell.

This is how it looks at the top right of the console:

When you activate the Cloud Shell, the session opens at the bottom of the console. You get a command line prompt and it’s fully configured with the gcloud command line tool (the jack-of-all-trades of Google Cloud scripting).

You can do a great many things from there, and this even includes uploading and downloading files, editing code or deploying it, a web preview for your AppEngine application, and more.

So you can get access to a fully configured shell environment in your project from any laptop where you can connect with your credentials. On top of this, it persists between connections so you can fine-tune it to your needs and have these changes available the next time you re-connect.

This has saved me many times during my previous life as a traveling consultant!

Live migration

Did I say 5 “Aha!” moments ? Well, you’ve been patient reading all the way to here, so here’s one more for free.

Google Cloud has an amazing way to literally “teleport” a running virtual machine between physical hosts without stopping it. It’s called Live Migration. It allows Google to move your virtual machine away from a defective host, or a host that needs a patch or an upgrade, or for any other infrastructure related reason.

It’s all done in the background, and is totally transparent, so you never really see it happening. Unless you look VERY closely. I once did a demo to a client, where a machine was live migrated while he was simulating a solid network load — and we did not lose a single packet, with no noticeable degradation in latency.

And that’s a wrap!

So there you go. These are 5+1 things that made me go “Aha!” when I became more familiar with the Google Cloud Platform, and that still make my clients do the same.

There is a lot of depth to the platform, and my examples above only scratch the surface of our features. I encourage you to try it yourself. There is a generous free tier, and when you are ready to take the plunge and create that new company, please contact us at Google Cloud for Startups. We’ll get you up and running in no time.

Jerome is a Startup Architect at Google Cloud. Based in Singapore, he helps startups make the most of the Google Cloud Platform.

Whitepaper

The Cloud-First Imperative To Accelerate Digital Transformation

DOWNLOAD WHITEPAPER

3550

Of your peers have already downloaded this article

1:30 Minutes

The most insightful time you'll spend today!

In a study of 360 business and technology decision makers and influencers from Indian enterprises, conducted by Forrester Consulting, it is revealed that public cloud adoption in India is on the rise with 2 in 3 organizations planning to increase their cloud spending by 5% or more in the next 12 months.

According to the study, public cloud platforms help organizations to:

  • Enable digital customer experience
  • Improve digital operational excellence
  • Power digital ecosystem expansion
  • Accelerate digital innovation

Download this infographic to understand why Indian companies are adopting a cloud-first approach to accelerate digital transformation.

More Relevant Stories for Your Company

Blog

withVR Uses the Power of VR to Prep People with Speech Disorders for Real-life Speaking Situations

Editor’s note: Meet Gareth Walkom, an entrepreneur dedicated to helping others with speech disorders. Turning life experience into innovation Did you know that 3% of Americans have a speech disorder, while 1% of the world’s population have a stutter? Just getting what they need in everyday interactions can be stressful,

Blog

Built on Google Cloud, Enexor’s Bio-CHP Unit Powers 100 Homes with Renewable Energy!

Editor’s note: Earth Day reminds us that we all can contribute to creating a cleaner, healthier, and more sustainable future. Google Cloud is excited to celebrate innovative startup companies developing new technology and driving sustainable change. On this year’s Earth Day we’re highlighting Enexor BioEnergy and their initiative to produce

Case Study

EyecareLive Sees a Brighter Future in the Cloud with Enhanced Support

EyecareLive transforms the healthcare ecosystem with Enhanced Support, a support service from the Google Cloud Customer Care portfolio. Telemedicine is now mainstream. It exploded during the COVID-19 pandemic. A 2022 survey by Jones Lang Lasalle (registration required) found that 38% of U.S. patients were using some form of telemedicine. This

How-to

Create and Protect Admin Accounts

Setting up your new cloud infrastructure is scary. Extra scary when you realize that someone (is it gonna be you?) gets to have phenomenal cosmic power over the whole thing.  Yes, I'm talking about the admin account, and today we'll dig into why they are important, dangerous and different. When

SHOW MORE STORIES