The battle against complexity in web development is a constant tug of war. We give a little to get something new, we take it back to make it simpler. Progress is good. Complexity is a bridge. Simplicity is the destination.
I love this quote from DHH. For those unfamiliar, DHH is the founder of Ruby's Rails framework, and is a huge proponent of the "mighty monolith." While I admire DHH's stance on simplicity, we diverge on architectural ideals. Modern tooling streamlines microservices management:
Tangentially, an essential part of our job is knowing when to buy versus build. When services are small and have a singular purpose, there's often a SaaS solution. There's no sense in reinventing the wheel, after all.
Containerization changed everything. Long ago are the days of needing a version manager for every language you’re working with. asdf solves part of the problem, but docker renders most version tooling obsolete. Docker compose makes stitching apps, data stores, and tooling together painless. In other words, setting up our local environment is as easy as setting up docker...
Configure docker compose files with tooling to run any language or framework commands. I prefer them to Makefiles.
# pro-tip alias dr='docker compose run --rm ' dr npm install left-pad dr npm update dr go get -d golang.org/x/net dr go mod tidy dr bundle install dr bundle exec rails db:setup
Spinning up a local environment simply consists of:
Let’s keep code styling consistent with linters. There is community tooling for all languages, so be sure to configure your editor.
Let's protect ourselves from... ourselves. CI enables us to do things like:
...all without having to know much about any given repo. Configure integration failures to be verbose, with clear steps to rectify any errors.
GitHub Actions is a wonderful solution. Use reusable workflows and templates to add Actions to a repo.
Embracing GitOps, tools like Flux and ArgoCD enable pull-based deployments straight to Kubernetes. This keeps git as our single source of truth! Operators within the Kubernetes cluster align their state with the source code, minimizing the system's attack surface and guaranteeing the capture of all changes.
GitOps also centralizes infrastructure declarations. While Terraform is a go-to, cloud providers offer their alternatives.
Security is like an onion...
So... your PR was merged. Congratulations! An image was built, tagged, and pushed up to the container registry. An operator within Kubernetes has presumably detected the new tag, pulled the image, and started a canary rollout. Incoming requests are gradually diverted to new pods. Your changes are taking traffic. Now what?
If you can afford Datadog, go with them as they're best-in-class. Grafana's LGTM stack is excellent for self-managed setups. Regardless of the tool, microservices necessitate advanced observability, and distributed tracing is critical. Logs and metrics still have their utility, but some companies have transitioned to event-based systems.
Last, but not least, always remember to go SLO to go fast!
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