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On Amazon Prime Video’s move to a monolith May 14, 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 Stop Shakespearizing Sep 16, 2022 Using GNU Make with JavaScript and Node.js to build AWS Lambda functions Sep 4, 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 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 Node.js and Lambda deployment size restrictions Mar 1, 2021 Should we abolish Section 230 ? Feb 1, 2021 TDWI 2019: Architecting Modern Big Data API Ecosystems May 30, 2019 Microsoft acquires Citus Data Jan 26, 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 Let’s talk cloud neutrality Sep 17, 2018 A conservative version of Facebook? Aug 30, 2018 TypeScript starts where JavaScript leaves off Aug 2, 2017 Design patterns in TypeScript: Chain of Responsibility Jul 22, 2017 I built an ultimate development environment for iPad Pro. Here is how. Jul 21, 2017 Rather than innovating Walmart bullies their tech vendors to leave AWS Jun 27, 2017 Emails, politics, and common sense Jan 14, 2017 Don't trust your cloud service until you've read the terms Sep 27, 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 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 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 Managed IT is not the future of the cloud Apr 9, 2016 JavaScript as the language of the cloud Feb 20, 2016 Our civilization has a single point of failure Dec 16, 2015 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 Setting Up Cross-Region Replication of AWS RDS for PostgreSQL Sep 12, 2015 Top Ten Differences Between ActiveMQ and Amazon SQS Sep 5, 2015 Ten Questions to Consider Before Choosing Cassandra Aug 8, 2015 The Three Myths About JavaScript Simplicity Jul 10, 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 Guaranteeing Delivery of Messages with AWS SQS May 9, 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 Finding Unused Elastic Load Balancers Mar 24, 2015 Where AWS Elastic BeanStalk Could be Better Mar 3, 2015 Trying to Replace Cassandra with DynamoDB ? Not so fast Feb 2, 2015 Why I am Tempted to Replace Cassandra With DynamoDB Nov 13, 2014 How We Overcomplicated Web Design Oct 8, 2014 Infrastructure in the cloud vs on-premise Aug 25, 2014 Cassandra: a key puzzle piece in a design for failure Aug 18, 2014 Cassandra: Lessons Learned Jun 6, 2014

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?