A Platform Architect is a senior-level technical role responsible for designing and managing the underlying foundation (the "platform") upon which other software applications and services are built.
Designing Useful Logs for Backend Engineers
Most devs log reactively... they add a console.log when something breaks, fix it and move on. The result is mostly noisy logs that don't tell you anything when production is on fire.
1. Start with structured logging: instead of writing plain text, emit JSON with consistent, queryable fields.
Now your monitoring tool can alert, filter, and graph it.. you can search your logs like a database
2. Use log levels correctly.
• INFO = expected business events ( e.g user logged in)
• WARN = handled anomalies (e.g retrying failed call)
• ERROR = genuine failures needing attention
• DEBUG = dev detail, turn off in production
Most teams use ERROR for everything. Don't
3. Always carry The Context Checklist:
A log message alone is almost useless. It's the context fields attached to it that make it actionable.
• Identifiers: user_id, order_id, request_id
• Values: amount, count, size
• State: status, current_step
• Error details: error_code, exception
• Timing: duration_ms
Identifiers tell "who and what," values tell "how many," state tell "where in the journey," error details tell "what went wrong," and timing tells "how long".
4. Use Correlation IDs:
Generate a unique request_id at every entry point. Pass it through every function, service, and log.
Without it, debugging concurrent requests becomes painful.
5. Never log sensitive data:
Do not log things like passwords, tokens, card numbers, raw SQL with user values, data returned from queries, etc.
The goal: any engineer should be able to open your logs during an incident and know exactly what happened, without touching the source code.
What's the worst log you've ever had to debug?
Always included a Management Layer. It is ideal for softwares to have its management layer invisible to the user or not. Just as it is mandatory to have a time stamp on any piece of data software.
Don't overthink architecture, most applications can be divided into these major layers:
1. Presentation Layer: This is whatever the user or another system touches directly. Could be a web UI, a mobile app, a CLI, or even just an API surface
2. Application Layer: This is where the coordination happens. It organizes what happens in response to a request, it calls the right services in the right order, but doesn't contain business rules itself.
3. Domain/Business Logic Layer: The heart of your application. This is where the rules that make your product your product live.
4. Data Layer: Databases, caches, file storage, third-party APIs, message queues....anything that deals with the outside world. The key insight here is that this layer serves the domain, not the other way around.
There you have it, software architecture in one paragraph.