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Observability & SRE
Metrics, logs, tracing, error budgets, and reliability engineering culture.
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Latest in Observability & SRE
"10 hours" and "around two weeks" are not the same kind of number
44+ min ago (416+ words) In September 2026, Palo Alto Networks Unit 42 published a case involving an AI-assisted intrusion into an enterprise network. The article includes figures like "less than 10 hours," "more than 50 MITRE ATT&CK techniques," and "around two weeks" for what a human operator…...
Incident Context: tracing production failures without guessing
34+ min ago (200+ words) This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content.... Tagged with devchallenge, sanitychallenge, sanity, ai....
How I Debugged a KV-Cache Offloading Bug in vLLM
34+ min ago (370+ words) LLM inference performance is often limited by GPU memory rather than raw compute. One of the problems I worked on in vLLM involved KV-cache offloading for models using mixed KV-cache groups. The failure was subtle: the existing logic assumed a…...
CitrusFi: A subscription audit that actually understands billing cycles
1+ hour, 4+ min ago (23+ words) CitrusFi is a small subscription tracking app that answers a question most trackers get wrong: "how... Tagged with devchallenge, sanitychallenge, sanity, ai....
Good News For Backend And Devops Buddy
1+ hour, 34+ min ago (182+ words) I shipped a Goated tool Today: API Performance Profiler. It answers one question backend devs ask every day: how fast is this route, actually? Most of us guess. Or we add console.time, or we open Postman and eyeball the…...
Kubernetes - Day - 02 - PID/Signals/Mount
3+ hour, 20+ min ago (16+ words) Docker Pull the details from docker register. docker pull nginx Enter... Tagged with devops, docker, linux....
Your AI agent failed. The model might not be the problem.
3+ hour, 29+ min ago (477+ words) Nvidia explains why debugging AI agents means tracing decisions, not just logging errors — and backs a shared failure-reporting system called SAFE....
Unraveling the Complexity of AI Agents with MLflow: How LLM Workflow Observability Transforms Debugging, Evaluation, and Operations｜tam2
2+ day, 23+ hour ago (124+ words) This video, published by IBM Technology, focuses on the challenges of observability in multi-agent LLM (Large Language Model) applications. It explains how MLflow identifies and resolves AI-specific issues that are often overlooked by traditional monitoring. It suggests that this improves…...
Applied Sciences, Vol. 16, Pages 9346: Application-Layer Intrusion Detection for VoIP over Open-Source 5G Standalone Networks
6+ hour, 25+ min ago (363+ words) Many open-source 5G standalone testbeds emphasise deployment rather than continuous detection of application-layer abuse. This work presents a reproducible, RF-free, three-node testbed in which SIP signalling traverses a PDU session while a sensor correlates SIP transactions and Asterisk events with Open5GS session…...
We spent the first twenty three minutes of an outage reading staging's graphs
7+ hour, 57+ min ago (792+ words) Checkout was returning errors for about one request in three and the dashboard in front of four engineers was entirely healthy. Request rate normal, error rate flat, latency at a hundred and eighty milliseconds. Everything on the screen was accurate,…...