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Microservices patterns

Service boundaries, discovery, inter-service calls, and decomposition patterns.

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Microservices patterns easy

Idempotent Consumer Event Processing in Python

Track processed event IDs to skip duplicates and count event types for a reliable, idempotent consumer.

idempotency events microservices
Python 
import json
from collections import defaultdict

class EventProcessor:
    def __init__(self):
        self.processed_ids = set()
        self.counts = defaultdict(int)

    def process_event(self, event):
        event_id = event["id"]
        if event_id in self.processed_ids:
            return {"status": "skipped"…
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