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Karthikeyan

@karthikeyan

Data Engineer

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Shipping SaaS features weekly. Always learning system design. (tamil/kannada)

JavaSpringKafka

Experiences shared

Comparison7d ago·1 entry

vs Postgres for short-lived job locks

We needed locks so queue workers did not process the same job twice. Redis SET NX was faster under load and easy to expire automatically. Postgres advisory locks were simpler operationally for our small team. Failover behavior mattered more than raw latency in our case. We chose Postgres first, then moved hot paths to Redis later. Pick the lock store you can operate confidently at 3am.

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#queues#postgres#redis
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Discussion8d ago·1 entry

typed API clients reduce bugs more than OpenAPI docs?

Curious how teams balance generated clients and hand-written SDKs. OpenAPI docs help humans, but drift still sneaks into multi-repo setups. Generated clients catch breaking changes in CI before they hit prod. They can also create noisy diffs when schemas change often. Plain fetch wrappers stay flexible but hide contract mismatches. What has actually reduced production bugs on your teams?

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#dx#api#typescript
Karthikeyan
Recommendation9d ago·1 entry

for a practical observability stack for a 6-person team

We need traces and logs without hiring a full-time SRE. Right now we stitch screenshots from three tools during incidents. OpenTelemetry looks right, but the vendor choice is unclear. We ship weekly and cannot afford a six-month platform project. What has worked for small teams that still sleep at night? Especially interested in cost ceilings and onboarding time for juniors.

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#observability#sre#opentelemetry
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