Practical System Design: The Quiet Elegance of Boring Architecture
Junior engineers often assume that impressive system design requires a complex web of microservices, event streaming through Apache Kafka, CQRS patterns, and distributed consensus mechanisms running across every cluster.
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How I Keep Myself Alive Using Golang: Automated Incident Management for Type 1 Diabetes
How many grams of carbohydrates are in a pint of beer or a seemingly healthy salad? For most people, the answer is “who cares,” unless they are following a strict diet. But for approximately 8 million people living with Type 1 Diabetes (T1D) worldwide, this is a continuous, daily life-or-death question.
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Lies We Tell Ourselves to Keep Using Golang
In the backend engineering community, Golang (Go) is frequently praised for its radical simplicity. From microservices at Google, Uber, and Grab to core infrastructure projects like Docker, Kubernetes, and Terraform, Go seems to be everywhere. Engineers routinely swap familiar praises: “Go is dead simple to learn,” “Concurrency in Go is practically free thanks to Goroutines,” and “The Go toolchain compiles instantly into a single self-contained binary.”
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When an Autonomous AI Agent Left Its Owner a $6,500 AWS Bill Scanning DN42
Over the past few days, the DevOps and networking communities have been buzzing about a rather tragicomic incident. An operator confidently gave an autonomous AI agent an AWS API key with full administrator access. The mission seemed simple: join and scan DN42. A few days later, the operator woke up to a $6,531.30 AWS invoice, declared bankruptcy, and took to the DN42 mailing lists and Matrix channels begging for cryptocurrency donations.
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Software Architecture: Monolith, Microservices and the Distributed Monolith Trap
Many young Backend programmers tend to view software architecture models as a religion or a measure of skill. Microservices are often revered as the pinnacle of technology, Monolith is labeled as outdated, while Distributed Monolith - the worst state - is often mistaken for real microservices.
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Agent = Model + Harness: Do not put an F1 engine into a brakeless bus
At the end of last year, I created a bot that ran in the background to automatically read menus from partner restaurants sent in PDF/Excel format, then parsed them into a Go struct to load into the Menu Service database.
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When to use cache and when not to
There is a production bug that I still remember vividly: user A cancels an order, but the app still displays “delivering” for the next 10 minutes. Support receives 30 tickets in one morning. The reason: cache TTL is 10 minutes, but no one invalidates it when the order status changes.
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