Monitoring network connectivity is crucial, especially if you're managing infrastructure or working with mission-critical applications. A simple way to ensure your network remains healthy is by periodically checking latency to key destinations and lo...
In the world of large-scale applications, even the smallest optimisations can lead to significant improvements in performance. LinkedIn, one of the largest professional networking platforms, recently achieved a 60% reduction in latency by making a st...
Latency – the sneaky delay that turns your lightning-fast internet into something that feels like dial-up from the 90s. 📡⏳ You click a link, but nothing happens immediately. Your video call freezes mid-sentence. Your online game lags, and suddenly, ...
If you’ve ever dealt with an ISP sales rep, you’ve probably heard this pitch: "Your business needs a 1 Gbps fibre connection! It’ll make everything faster and solve all your problems!" 🚨 It’s a lie. 🚨 More bandwidth does not make your business appl...
🚀 “Our app works fine most of the time, but sometimes it’s just… slow.”Sound familiar? Latency is every engineer’s worst nightmare—especially when multi-cloud environments are involved. AWS, Azure, GCP, and others operate with different network arch...
Retrieval-Augmented Generation (RAG) is an advanced framework in Natural Language Processing (NLP) that combines the capabilities of retrieval systems with large language models (LLMs) to deliver highly accurate and context-aware outputs. Unlike trad...
Importance of Latency Metrics: Latency metrics are crucial for evaluating the performance of an application, as they provide insights into how quickly the system responds to user requests. These metrics are particularly important for understanding th...
The future of AI isn’t about bigger models or smaller models-it’s about speed. The race to achieve responses in under 600 milliseconds. That’s the benchmark separating AI interactions that feel mechanical from those that feel human. This latency thre...
In the world of machine learning (ML), achieving quick results is critical, especially in real-time applications like autonomous driving, recommendation systems, and interactive voice assistants. But often, discussions about ML performance focus on a...
배경 개발자님! 화면이 너무 늦게 떠요!! 이번 주에 매출 통계 기능을 개발해서 개발 서버에 올렸는데 테스팅을 하다가 갑자기 긴급 호출이 들어왔다. API 속도가 너무 느리다는데 얼마나 느리길래 그런지 확인해봤더니 무려 10~16초가 걸렸다. 신규 레포지토리를 파서 개발한 거라 설정에 문제가 있었나? VPC간 통신 때문에 지연되는 건가? 별의 별 생각이 다 들어서 각 모듈별로 실행되는 시간, 실제 쿼리하는 시간을 전부 측정해봤는데 10~16...
