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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 2024 Reflections Dec 31, 2024 My giant follows me wherever I go Sep 20, 2024 Are developer jobs truly in decline? Jun 29, 2024 Some thoughts on recent RTO announcements Jun 22, 2023 One size does not fit all: neither cloud nor on-prem Apr 10, 2023 Should today’s developers worry about AI code generators taking their jobs? Dec 11, 2022 Working from home works as well as any distributed team Nov 25, 2022 Why you should question the “database per service” pattern Oct 5, 2022 Good developers can pick up new programming languages Jun 3, 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 Good idea fairy strikes when you least expect it May 2, 2022 Best practices for building a microservice architecture Apr 25, 2022 TypeScript is a productivity problem in and of itself Apr 20, 2022 In most cases, there is no need for NoSQL Apr 18, 2022 A year of COVID taught us all how to work remotely Feb 10, 2021 Making the best of remote work - Coronavirus blues Mar 16, 2020 TDWI 2019: Architecting Modern Big Data API Ecosystems May 30, 2019 Using Markov Chain Generator to create Donald Trump's state of union speech Jan 20, 2019 The religion of JavaScript Nov 26, 2018 Let’s talk cloud neutrality Sep 17, 2018 Fixing the Information Marketplace Aug 26, 2018 What does a Chief Software Architect do? Jun 23, 2018 I downloaded my Facebook data. Nothing there surprised me. Apr 14, 2018 Nobody wants your app Aug 2, 2017 Node.js is a perfect enterprise application platform Jul 30, 2017 Design patterns in TypeScript: Chain of Responsibility Jul 22, 2017 Singletons in TypeScript Jul 16, 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 Collaborative work in the cloud: what I learned teaching my daughter how to code Dec 10, 2016 Don't trust your cloud service until you've read the terms Sep 27, 2016 In search for the mythical neutrality among top-tier public cloud providers Jun 18, 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 JavaScript as the language of the cloud Feb 20, 2016 OAuth 2.0: the protocol at the center of the universe Jan 1, 2016 Our civilization has a single point of failure Dec 16, 2015 IT departments must transform in the face of the cloud revolution Nov 9, 2015 What Every College Computer Science Freshman Should Know Aug 14, 2015 Ten Questions to Consider Before Choosing Cassandra Aug 8, 2015 On Maintaining Personal Brand as a Software Engineer Aug 2, 2015 The Three Myths About JavaScript Simplicity Jul 10, 2015 Book Review: "Shop Class As Soulcraft" By Matthew B. Crawford Jul 5, 2015 Attracting STEM Graduates to Traditional Enterprise IT Jul 4, 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 Big Data is not all about Hadoop May 30, 2015 Smart IT Departments Own Their Business API and Take Ownership of Data Governance May 13, 2015 The Clarkson School Class of 2015 Commencement speech May 5, 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 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 Software Engineering and Domain Area Expertise Nov 7, 2014 Wall St. wakes up to underinvestment in OMS Aug 21, 2014 Software Engineers Are Not Doctors Aug 3, 2014 Cassandra: Lessons Learned Jun 6, 2014 Java, Linux and UNIX: How much things have progressed Dec 7, 2010 Eminence Grise: A trusted advisor May 13, 2009

One size does not fit all: neither cloud nor on-prem

April 10, 2023

If your application is not built as cloud-native, then you won’t benefit from the cloud



David Heinemeier Hansson of 37signals wrote a series of posts discussing how much his team will save by moving away from the cloud. Seven million over five years is his estimate.



I’ve been building cloud-native architectures for over a decade now. The arguments against cloud adoption have always revolved around cost and security. I’ve heard all sorts of things ranging from assertions that the cloud is more expensive than data centers to absurd arguments that Amazon will steal your product inventory data from your RDS instances for their competitive advantages. As I wrote in my InfoWorld post in 2016, there is no genuinely neutral cloud provider that won’t compete with you either.



But let’s get back to David’s reasoning. Without knowing the details of the software, and how it works, we can’t truly judge the architecture, though we can deduce some of the aspects. In 2022, HEY and some legacy apps architecture revolved around the following:





  • Full Rails application running via EKS,




  • MySQL via Aurora RDS,




  • Redis via Elasticache,




  • Search via OpenSearch




If you are starting your architecture with a full Rails stack, that is not a cloud-native architecture. Full Rails stack is not server-less. You are considering your architecture in terms of continuously running servers that must be up 24/7.



Anchoring your architecture to having some servers running 24/7 is not how things are done in the cloud. My gut tells me that had the architecture been built around AWS Lambda instead of a full Rails stack, the cited $759983 spent on compute capacity in EC2 instances would be orders of magnitude lower.



37signals isn’t revealing what is actually stored in S3, what features of OpenSearch are used that cannot be provided by MySQL, and what Redis is delivering that is not effectively done by MySQL query caching.



Most applications don’t need the tech stack they have. Vicki Boykis eloquently covered this back in 2019. Most applications don’t need the complex stack that they have -- they can run on a Raspberry Pi sitting on one’s desk connected to the Internet via a consumer-grade Xfinity connection.



Fernando Alvarez from 37 Signals writes:




In 2023, we hope to dramatically cut that bill by moving a lot of services and dependencies out of the cloud and onto our own hardware. We don’t operate our own data centers, but work with our friends at Deft to lease rackspace, bandwidth, power, and white glove service. That isn’t cheap either at our scale, but it’s far, far less than what we spend on the cloud.



It also means that nobody from 37signals is actually roaming around a data center, racking equipment, or pulling cables. We order from Dell, have it delivered straight to the data center, and then we see the servers appear online, and then we get to work.




One could argue that HEY is a cloud service in and of itself. In 2016 it made perfect sense for Dropbox to leave AWS for a simple reason: Dropbox is in the business of providing a cloud service. Building a cloud on top of a cloud probably makes no financial sense. Given that HEY may be a cloud service in its own right, I see no reason for them not to build their own cloud.



I am not trying to argue that HEY is making bad choices. Quite the opposite: they are making choices that make sense for their company. Everyone has different experiences and needs. I always argue against Shakespearizing, i.e., doing something for your project just because some tech company is doing it for theirs. Only you know your project and your needs — so if the cloud makes sense to you, use it; if it doesn’t, don’t. Please don’t Shakespearize.



If I am going to leave you with something to take away from this post, it is this food for thought:





  1. Most applications do not need the stack they are using. They can run on a Raspberry Pi with a 1 gigabit Xfinity connection out of your basement,




  2. Most applications don’t need to collect and index 27 gigs of data per user (8 petabytes divided by 300000 HEY users),




  3. If you are thinking in terms of EC2 instances and continuously running servers, you are not thinking cloud-natively




It is worth having this debate. What are your thoughts?