Pratik Sahu
11 min
Pydantic: Queue reliability
How **Pydantic** supports **Queue reliability** in Python — retries, idempotency, and poison messages.
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APIs
REST, security, performance, and integration patterns.
334 articles
Featured · 9 min read
APIsSpring Data JPA: production notes
Spring Data JPA speeds repository work while still demanding respect for fetch graphs and transactions.
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11 min
Celery: API design
How **Celery** supports **API design** in Python — contracts, versioning, and error envelopes.
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11 min
RESTful APIs: Security audits
How **RESTful APIs** supports **Security audits** in API & Security — authz tests, secrets, and threat modeling.
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11 min
Spring Data JPA: Legacy modernization
How **Spring Data JPA** supports **Legacy modernization** in Java & Spring — strangler fig, seams, and incremental extra...
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11 min
REST APIs: Technical documentation
How **REST APIs** supports **Technical documentation** in Python — runbooks, ADRs, and onboarding docs.
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11 min
Maven: Cloud cost control
How **Maven** supports **Cloud cost control** in Java & Spring — right-sizing, quotas, and spend alerts.
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10 min
FastAPI: Security audits
How **FastAPI** supports **Security audits** in Python — authz tests, secrets, and threat modeling.
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11 min
Pydantic: Performance tuning
How **Pydantic** supports **Performance tuning** in Python — p95 latency, query plans, and payload size.
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11 min
Webhooks: API design
How **Webhooks** supports **API design** in API & Security — contracts, versioning, and error envelopes.
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11 min
Maven: Webhook patterns
How **Maven** supports **Webhook patterns** in Java & Spring — signatures, fast ack, and async processing.
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11 min
Maven: Load testing
How **Maven** supports **Load testing** in Java & Spring — fixtures, soak tests, and capacity plans.
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11 min
REST APIs: Cache strategy
How **REST APIs** supports **Cache strategy** in Python — TTL, invalidation, and stampede control.
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