As a longtime reader of InfoQ, QCon has always been on my radar. In its 11th year, I managed
to attend QCon London. For those that haven’t heard of QCon, it’s a top-notch software development conference, held all
around the world. It’s spread over three days with each day broken into tracks. Each track has a particular focus, such
as “Architecting for Failure”, “Containers: State of the Art” or my personal favourite “Security: Lessons Learned From
Overall, I found the conference to be of a superbly high quality. The talks were relevant and well delivered, the venue
ideal and the food abundant. What follows are my takeaways from day 1.
- Strategic Code Deletion with Michael Feathers
- Using Quality Views To Tackle Tech Debt with Colin Breck of Tesla
- Continuously Delivering Security In The Cloud with Casey West
- From Microliths To Microsystems with Jonas Bonér
- Building a Data Science Capability From Scratch with Victor Hu
- Crushing Tech Debt Through Automation at Coinbase with Rob Witloff
Strategic Code Deletion
- If you don’t already have it, a test coverage metric is a great place to start measuring tech debt
- Mutation testing is an even better way of measuring true test coverage, but the tooling is pretty lacking
- If code has very little value, consider removing it
- Mentions of using Martin Fowler’s “Strangler Application” approach
Using Quality Views To Tackle Tech Debt
I recommend that you checkout
Colin’s blog post for
the details on Quality Views.
* Mentions of the “Big Ball of Mud” paper
* Mentions of the book “Thinking Fast and Slow” by Daniel Kahneman
* Color Brewer mentioned as a great source of effective gradients
Continuously Delivering Security In The Cloud
- A moving target is harder to hit so regularly create and destroy containers — this helps to ensure an attacker does not
- Secrets can be rotated using a secrets manager like Hashicorp’s Vault
From Microliths To Microsystems
A summary of the talk can be found on InfoQ.
- Reactive Design Principles help when developing microservice architectures
- Separate stateless behaviour from stateful entities in a microservice architecture — this helps with scaling
- References to Pat Helland’s paper “Data on the Outside versus Data on the Inside”
- Use Domain Driven Development, but don’t focus on the things (nouns), instead focus on what happens (events)
- CQRS and Event Sourcing mentioned as a useful techniques
Building a Data Science Capability From Scratch
Although a good talk consisting of first-hand experiences, there wasn’t a key takeaway for me.
Crushing Tech Debt Through Automation at Coinbase
- We need to move fast to survive, technical debt slows us down
- Build in automated guardrails to ensure that we can move fast without bringing down production
- Everyone at Coinbase can deploy a tested master branch to production
- Focus on building a blameless culture
- Create archetype projects to speed up creation of new services
- Do security checks in the build pipeline
- Hashicorp’s Vault mentioned again here
- Coinbase uses Docker — no container lasts for more than 30 days
That wraps it up for Day 1 can be found here.
Day 3 can be found here.