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On the role of Distinguished Engineer and CTO Mindset Apr 27, 2025 The future is bright Mar 30, 2025 On luck and gumption Oct 8, 2023 Some thoughts on recent RTO announcements Jun 22, 2023 One size does not fit all: neither cloud nor on-prem Apr 10, 2023 Comparing AWS SQS, SNS, and Kinesis: A Technical Breakdown for Enterprise Developers Feb 11, 2023 Working from home works as well as any distributed team Nov 25, 2022 Things to be Thankful for Nov 24, 2022 Why you should question the “database per service” pattern Oct 5, 2022 Stop Shakespearizing Sep 16, 2022 Using GNU Make with JavaScript and Node.js to build AWS Lambda functions Sep 4, 2022 Why don’t they tell you that in the instructions? Aug 31, 2022 Monolithic repository vs a monolith Aug 23, 2022 Keep your caching simple and inexpensive Jun 12, 2022 Java is no longer relevant May 29, 2022 There is no such thing as one grand unified full-stack programming language May 27, 2022 Peloton could monetize these ideas if they only listen May 15, 2022 Best practices for building a microservice architecture Apr 25, 2022 True identity verification should require a human Mar 16, 2020 The passwords are no longer a necessity. Let’s find a good alternative. Mar 2, 2020 What programming language to use for a brand new project? Feb 18, 2020 TDWI 2019: Architecting Modern Big Data API Ecosystems May 30, 2019 Configuring Peloton Apple Health integration Feb 16, 2019 All emails are free -- except they are not Feb 9, 2019 Using Markov Chain Generator to create Donald Trump's state of union speech Jan 20, 2019 The religion of JavaScript Nov 26, 2018 Teleportation can corrupt your data Sep 29, 2018 Let’s talk cloud neutrality Sep 17, 2018 A conservative version of Facebook? Aug 30, 2018 On Facebook and Twitter censorship Aug 20, 2018 Facebook is the new Microsoft Apr 14, 2018 Node.js is a perfect enterprise application platform Jul 30, 2017 Design patterns in TypeScript: Factory Jul 30, 2017 Design patterns in TypeScript: Chain of Responsibility Jul 22, 2017 Singletons in TypeScript Jul 16, 2017 Architecting API ecosystems: my interview with Anthony Brovchenko of R. Culturi Jun 5, 2017 TDWI 2017, Chicago, IL: Architecting Modern Big Data API Ecosystems May 30, 2017 I tried an Apple Watch for two days and I hated it Mar 30, 2017 Emails, politics, and common sense Jan 14, 2017 Online grocers have an additional burden to be reliable Jan 5, 2017 Here is to a great 2017! Dec 26, 2016 Apple’s recent announcements have been underwhelming Oct 29, 2016 I am addicted to Medium, and I am tempted to move my entire blog to it Sep 9, 2016 What I learned from using Amazon Alexa for a month Sep 7, 2016 Praising Bank of America's automated phone-based customer service Aug 23, 2016 Amazon Alexa is eating the retailers alive Jun 22, 2016 In search for the mythical neutrality among top-tier public cloud providers Jun 18, 2016 In Support Of Gary Johnson Jun 13, 2016 Files and folders: apps vs documents May 26, 2016 Why it makes perfect sense for Dropbox to leave AWS May 7, 2016 JEE in the cloud era: building application servers Apr 22, 2016 Managed IT is not the future of the cloud Apr 9, 2016 LinkedIn needs a reset Feb 13, 2016 In memory of Ed Yourdon Jan 23, 2016 OAuth 2.0: the protocol at the center of the universe Jan 1, 2016 IT departments must transform in the face of the cloud revolution Nov 9, 2015 Banking Technology is in Dire Need of Standartization and Openness Sep 28, 2015 Top Ten Differences Between ActiveMQ and Amazon SQS Sep 5, 2015 We Live in a Mobile Device Notification Hell Aug 22, 2015 On Maintaining Personal Brand as a Software Engineer Aug 2, 2015 Book Review: "Shop Class As Soulcraft" By Matthew B. Crawford Jul 5, 2015 Attracting STEM Graduates to Traditional Enterprise IT Jul 4, 2015 The longer the chain of responsibility the less likely there is anyone in the hierarchy who can actually accept it Jun 7, 2015 Guaranteeing Delivery of Messages with AWS SQS May 9, 2015 The Clarkson School Class of 2015 Commencement speech May 5, 2015 Apple is (or was) the Biggest User of Apache Cassandra Apr 23, 2015 Ordered Sets and Logs in Cassandra vs SQL Apr 8, 2015 Exploration of the Software Engineering as a Profession Apr 8, 2015 What can Evernote Teach Us About Enterprise App Architecture Apr 2, 2015 Microsoft and Apple Have Everything to Lose if Chromebooks Succeed Mar 31, 2015 Where AWS Elastic BeanStalk Could be Better Mar 3, 2015 Configuring Master-Slave Replication With PostgreSQL Jan 31, 2015 Docker can fundamentally change how you think of server deployments Aug 26, 2014 Infrastructure in the cloud vs on-premise Aug 25, 2014 Things I wish Apache Cassandra was better at Feb 12, 2014 "Hello, World!" Using Apache Thrift Feb 24, 2013 Thoughts on Wall Street Technology Aug 11, 2012 Scripting News: After X years programming Jun 5, 2012 Java, Linux and UNIX: How much things have progressed Dec 7, 2010

IT departments must transform in the face of the cloud revolution

November 9, 2015

This article was originally published on my Cloud Power blog at Computerworld on October 19th, 2015

During the week of October 5th, I had an opportunity to attend the AWS re:Invent 2015 conference in Las Vegas, of all places. As someone who has built an entire career on putting together custom application server software, I should be the last one to get excited about server-less applications. Just like Salesforce’s “no software,” Amazon’s “server-less software” mantra is about a world where application development is not limited by IT, software to install and servers to manage.

Traditionally, in an on-premise environment, putting together an enterprise application involved building out three pieces: the data store, the server and the client. Between the hardware, the software and the infrastructure associated with the aforementioned on-premise application, there were hundreds of thousands of dollars worth of up-front capital expense. The project team was forced to justify their project and their work to the C-suite. CIOs and CFOs were forced to place that initial bet without knowing whether the application will succeed or not.

Of course, computer hardware is just like any other electronic appliance. The washing machine I bought seven years ago continues to wash my clothes at the same rate as it did on the day I bought it. But my family has grown and we now have to do laundry for four people over an entire weekend.

Likewise, as the business grows and business requirements change, the original hardware and software purchased for an on-premise enterprise application will not keep up with the demands. And so project teams are forced to periodically justify increased capital expenditures. The process of explaining one’s existence to the IT department, the CIO and the CFO starts all over again and takes months.

At the Thursday AWS reInvent keynote Werner Vogels maintained a common theme: developers did not get into the software field to keep thinking about infrastructure. Developers have a passion to build applications that are useful and meet user needs. Most CIOs did not get into their fields to keep saying “No” to developers or to create and participate in IT red tape.

To understand the frustration users and developers have with the enterprise IT beadledom, all one needs to do is read commentaries on the rise of Shadow IT, such as this InformationWeek article by Andrew Froehlich:
According to Cisco: “IT departments estimate their companies are using an average of 51 cloud services, when the reality is that 730 cloud services are being used. And this challenge is only going to grow. One year ago, the multiple was seven times, six months ago it was 10 times, today it is 15 times and given the exponential growth of cloud we predict that by the end of this calendar year it will be 20 times or more than 1,000 external cloud services per company.”

[…] Much of the Shadow IT Cisco discovered included Compute services such as Infrastructure-as-a-Service (IaaS) from AWS and Google, as well as multiple storage and backup service providers. On the Software-as-a-Service (SaaS) front, marketing and sales applications such as Salesforce.com dominated.

In a cloud environment like AWS, one or two developers working out of their kitchen or a garage can build and deploy an application that will be useful to millions in a matter of days. Their only upfront cost is their time and effort. Their infrastructure only costs them per unit of utilization. If their idea succeeds and becomes profitable they can scale their application. As new services and technologies become available, the developers can utilize them to cut costs, to offer better performance and more valuable functionality. If their idea fails, they can shut it down and stop paying for the resources.

With great power comes great responsibility. While the need for a dedicated IT department goes away, the need to properly train and monitor developers becomes more important. In an on-premise environment, the IT department acts as the gatekeepers to the use and evolution of the IT infrastructure. The cloud requires a new way of thinking.

Andrew Froehlich writes:
However you ultimately decide to handle the situation, know that the likelihood that Shadow IT can be completely eradicated from enterprise organizations is extremely slim. Rather, the goal for CIOs and IT departments should be to significantly reduce the need for employees to circumvent IT in order to perform their work duties.

Cloud computing democratizes developer and end user productivity at the expense of transparency and IT control. Since developers and users are able to provision and utilize resources as needed, it is easy for costs, overall architecture and security to get out of control. Rather than getting in the way of productivity, however, the IT departments must evolve their role from that of the gatekeepers into that of enablers.