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BSBipul Sinhaarchitecture-decisions.hashnode.dev

The 5 Architecture Mistakes I See Engineers Make — And Why They're So Hard to Undo

1h ago · 11 min read · By Bipul Sinha · Principal Engineer & Software Architect · India Let me start with something uncomfortable. A few of the mistakes in this post, I made them! Not once — repeatedly, across different pr

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Aalexeyg377alexeygolev.hashnode.dev

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The Hidden Cost Curve of “One-Click” ML Observability

22h ago · 4 min read · The ask was reasonable. We had a high-volume ML serving endpoint and we, engineers and data scientists, wanted visibility into what requests and responses looked like in production. The managed ML ser

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ITIngero Teamingero.hashnode.dev

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What Inference-Platform Benchmark Posts Leave Out

20h ago · 9 min read · DCGM stops at host-level GPU counters. Kernel-side eBPF adds the per-rank, per-tenant signals platform writeups never publish. TL;DR Cloudflare’s recent post on hosting Kimi K2.5 and Llama 4 Scout ope

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CChalomhostingguru.hashnode.dev

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Your AI app is silently burning $2,000/month and you don't know it. Here are the 5 patterns that bite founders.

1d ago · 11 min read · Disclosure: I'm a senior backend tech lead and I run HostingGuru, where built-in AI monitoring is the feature I'm proudest of. This article will mention HostingGuru once at the end, but the patterns a

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ITIngero Teamingero.hashnode.dev

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MCP Shows What the Agent Did. eBPF Shows Why the GPU Stalled.

1d ago · 9 min read · MCP exposes the agent’s tool calls. eBPF exposes the kernel events that explain why those tool calls returned what they returned. TL;DR The Model Context Protocol (MCP) is converging on an industry st

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TPTushar Patilblog.techtush.in

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📊 Observability for MCP Servers: Structured Logging, Distributed Tracing, and Metrics

2d ago · 12 min read · This is Part 7 of the AI Engineering with TypeScript series. Prerequisites: Part 1 · Part 2 · Part 3 · Part 4 · Part 5 · Part 6 Stack: Node.js 20+ · pino · @opentelemetry/sdk-node · prom-client · Jaeg

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BBeckybeckybuilds.hashnode.dev

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Building a Reusable Load-Test Environment for a Messenger Service — Make-based IaC, Observability, and Auth Seeding

2d ago · 15 min read · I wanted to know exactly how many TPS our messenger's send API could survive — and where it would actually break. So I mirrored production into a 7-node load-test environment, and instead of treating

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Yyurukusayurukusa.hashnode.dev

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What 24 Claude Code Issues in 7 Days Have in Common

3d ago · 3 min read · I've been tracking issues filed against anthropics/claude-code for a few weeks. Between May 4 and May 11, 2026, 24 distinct reports caught my attention because they all share the same underlying shape, despite covering very different surface areas. T...

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OOmnithiumomnithium.hashnode.dev

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Agent Observability: What to Monitor Beyond Uptime and Latency

3d ago · 15 min read · Your AI agent has 99.9% uptime. Response times are consistently under two seconds. The infrastructure team is happy, the dashboards are green, and then a customer escalates because the agent has been confidently giving wrong answers for three days. T...

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NSNishant Singhnishant-singh.hashnode.dev

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Chaos Engineering for Databases: The Experiment Nobody Runs Until It's Too Late

3d ago · 71 min read · You've chaos-tested your microservices. You've killed pods, injected latency, and simulated AZ outages. But have you chaos-tested your Postgres? Your RDS cluster? Your Redis cache? Because production

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Search Hashnode

#observability

Trending tags this week

The 5 Architecture Mistakes I See Engineers Make — And Why They're So Hard to Undo

The Hidden Cost Curve of “One-Click” ML Observability

What Inference-Platform Benchmark Posts Leave Out

Your AI app is silently burning $2,000/month and you don't know it. Here are the 5 patterns that bite founders.

MCP Shows What the Agent Did. eBPF Shows Why the GPU Stalled.

📊 Observability for MCP Servers: Structured Logging, Distributed Tracing, and Metrics

Building a Reusable Load-Test Environment for a Messenger Service — Make-based IaC, Observability, and Auth Seeding

What 24 Claude Code Issues in 7 Days Have in Common

Agent Observability: What to Monitor Beyond Uptime and Latency

Chaos Engineering for Databases: The Experiment Nobody Runs Until It's Too Late