We built a custom dashboard that tracks the metrics that actually matter to our team. Vanity metrics like total page views were replaced with actionable signals: time-to-first-meaningful-interaction, error budget burn rate, and deployment frequency per team.
Performance Tuning
We invested heavily in contract testing between our microservices. The upfront cost was significant, but it eliminated an entire class of integration failures that had been causing 40% of our production incidents. Consumer-driven contracts caught breaking changes before they reached staging.
The hardest part of any migration is the data. Not the schema changes — those are mechanical. The real challenge is ensuring data integrity during the transition period when both old and new systems are running simultaneously and writes need to be consistent across both.
Caching is deceptively simple in concept and endlessly complex in practice. Our first implementation had cache stampede issues under load, our second had stale data bugs that took weeks to diagnose, and our third attempt finally got it right by using a combination of TTLs, background refresh, and circuit breakers.
What worked for us won’t work for everyone. Context matters enormously. But we hope sharing our experience saves someone else from repeating our more expensive mistakes.
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