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Strategic activity mapping for software architects May 25, 2025 On the role of Distinguished Engineer and CTO Mindset Apr 27, 2025 The future is bright Mar 30, 2025 Software Engineering is here to stay Mar 3, 2024 Some thoughts on recent RTO announcements Jun 22, 2023 Comparing AWS SQS, SNS, and Kinesis: A Technical Breakdown for Enterprise Developers Feb 11, 2023 Should today’s developers worry about AI code generators taking their jobs? Dec 11, 2022 Things to be Thankful for Nov 24, 2022 Book review: Clojure for the Brave and True Oct 2, 2022 Monolithic repository vs a monolith Aug 23, 2022 Scripting languages are tools for tying APIs together, not building complex systems Jun 8, 2022 There is no such thing as one grand unified full-stack programming language May 27, 2022 Most terrifying professional artifact May 14, 2022 Best practices for building a microservice architecture Apr 25, 2022 True identity verification should require a human Mar 16, 2020 On elephant graveyards Feb 15, 2020 TDWI 2019: Architecting Modern Big Data API Ecosystems May 30, 2019 Returning security back to the user Feb 2, 2019 Which AWS messaging and queuing service to use? Jan 25, 2019 Using Markov Chain Generator to create Donald Trump's state of union speech Jan 20, 2019 The religion of JavaScript Nov 26, 2018 Leaving Facebook and Twitter: here are the alternatives Mar 25, 2018 When politics and technology intersect Mar 24, 2018 TypeScript starts where JavaScript leaves off Aug 2, 2017 Node.js is a perfect enterprise application platform Jul 30, 2017 Rather than innovating Walmart bullies their tech vendors to leave AWS Jun 27, 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 Apple’s recent announcements have been underwhelming Oct 29, 2016 Why I switched to Android and Google Project Fi and why should you Aug 28, 2016 Amazon Alexa is eating the retailers alive Jun 22, 2016 What can we learn from the last week's salesforce.com outage ? May 15, 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 JavaScript as the language of the cloud Feb 20, 2016 OAuth 2.0: the protocol at the center of the universe Jan 1, 2016 Operations costs are the Achille's heel of NoSQL Nov 23, 2015 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 What Every College Computer Science Freshman Should Know Aug 14, 2015 The Three Myths About JavaScript Simplicity Jul 10, 2015 Book Review: "Shop Class As Soulcraft" By Matthew B. Crawford Jul 5, 2015 Your IT Department's Kodak Moment Jun 17, 2015 The longer the chain of responsibility the less likely there is anyone in the hierarchy who can actually accept it Jun 7, 2015 Smart IT Departments Own Their Business API and Take Ownership of Data Governance May 13, 2015 We Need a Cloud Version of Cassandra May 7, 2015 Building a Supercomputer in AWS: Is it even worth it ? Apr 13, 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 Why I am Tempted to Replace Cassandra With DynamoDB Nov 13, 2014 Infrastructure in the cloud vs on-premise Aug 25, 2014 Wall St. wakes up to underinvestment in OMS Aug 21, 2014 Cassandra: Lessons Learned Jun 6, 2014

Infrastructure in the cloud vs on-premise

August 25, 2014

[caption id="attachment_250" align="aligncenter" width="300"]Cloud Cloud[/caption]

I made a comment on twitter saying that if you are still operating an on-premise data center in the second decade of the 21st century you are wasting a ton of money. I was talking specifically about AWS vs on-premise. I got some pushback on that assertion in the form of private messages. Here is the summary of the feedback I received:

  1. AWS only makes sense if you need to spin up hundreds of servers fast. Otherwise it is a costly low quality proposition.

  2. In AWS you have zero control of your infrastructure and therefore you have no control over the outcome of failures.

  3. On premise data centers are built to stay operational whereas on AWS you must build your infrastructure with the expectation of failure.


As an application developer my experience is quite the opposite. In the AWS environment I am able to provision resources as needed based on the requirements of my application. I cannot do so in an on-premise data center where any sort of an upgrade or installation can take weeks or months of red tape. At this point in my career, having seen what is possible in AWS and in the cloud in general I have zero interest in building anything out in an on-premise data center.

As for control of the infrastructure, where is the delineation ? At what point do you say with certainty that you have full control over your infrastructure ? Even if you have control over your LAN and other on-premise resources you still have to rely on your power company for electricity. Power companies solved the problem of offering energy as a utility, why not IT infrastructure companies offering their resources as a utility ?

The only way an on-premise datacenter can be better than anything AWS can offer is if you build the exact same infrastructure as they have, with the same resources and tools to help design for failure. Yes, that includes multiple data centers in geographically distinct regions (as in Virginia and California). Sure, there are flaws in AWS, and they do on occasion have outages. But so do on-premise data centers and in my experience with much greater frequency and with greater impact.

Consider the April 2011 EBS outage at Amazon in one of their availability zones:
What about Netflix, an AWS customer that kept on going because they had proper "design for failure"? Try doing that in your private IT infrastructure with the complete loss of a data center. What about another AWS/enStratus startup customer who did not design for failure, but took advantage of the cloud DR capabilities to rapidly move their systems to California? What startup would ever have been able to relocate their entire application across country within a few hours of the loss of their entire data center without already paying through the nose for it?

Sure, when you move to the cloud you give up control over your infrastructure, but the whole point of designing your applications for failure is to make your lack of control less relevant.