2d ago · 5 min read · It's a scenario every backend engineer dreads. It’s 3:00 AM on a Friday, and your PagerDuty goes off. You stumble out of bed, open your logs, and see the carnage: Your payment processing server crashe
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May 29 · 2 min read · The traditional ERP is a monolith. It acts as a massive data repository where state changes are locked inside SQL tables, waiting for someone to run a report. However, modern enterprises require agili
Join discussionMay 25 · 10 min read · Route 4: Reconstructing Execution Continuity in EVM Environments Most EVM monitoring systems stop after detection. Pair detected.Contract deployed.Liquidity added.Alert generated. Operationally, that
Join discussionMay 20 · 3 min read · The Spring event system lets different parts of your application talk to each other without being directly connected. Think of it like a radio station (publisher) and radios (listeners) — the station
Join discussionMay 13 · 13 min read · The problem with Polling Every network operations team is familiar with the scenario: a ticket arrives at 3 a.m. indicating a BGP session has been down for 45 minutes. The monitoring system, checking
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May 13 · 8 min read · 💡 TLDR: Polling is wasteful and can't give you true real-time delivery. Emitting events directly from application code is fragile — a partial failure leaves your database and broker out of sync. WAL-
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May 12 · 7 min read · Even when your database transaction succeeds, your event can still disappear before downstream services ever see it. 1. A customer places an order.2. The API returns success, and the order exists in
Join discussionMay 9 · 25 min read · In Part 4, we made Orders call Inventory directly using gRPC. That gave us a working flow, but it also showed a common problem like Orders has to wait for Inventory every time. If Inventory is slow, O
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