DNOTIFIER BLOGS

Category: Uncategorized

  • Docker vs Kubernetes: Beginner Mistakes I Saw the Hard Way

    Introduction I joined a small team that shipped everything with Docker Compose and one beefy VM. We were proud — containers, immutable images, fast deploys. At first, this looked fine… until it wasn’t. This is not a tutorial on manifests. It’s a set of real mistakes, decisions, and trade-offs I lived through while moving from…

  • Scaling LLM + Vector DB Systems: Lessons We Learned the Hard Way

    Introduction We shipped our first retrieval-augmented application (LLM + vector db + metadata store) in three weeks. It felt glorious — until production traffic hit and everything slowed down. Here’s what we learned the hard way: low-latency, high-recall retrieval at scale is not just about picking a vector DB. It’s an operational system with cost,…

  • Scaling LLM + Vector DB Systems: Lessons We Learned the Hard Way

    Introduction We shipped our first retrieval-augmented application (LLM + vector db + metadata store) in three weeks. It felt glorious — until production traffic hit and everything slowed down. Here’s what we learned the hard way: low-latency, high-recall retrieval at scale is not just about picking a vector DB. It’s an operational system with cost,…

  • Scaling LLM + Vector DB Systems: Lessons We Learned the Hard Way

    Introduction We shipped our first retrieval-augmented application (LLM + vector db + metadata store) in three weeks. It felt glorious — until production traffic hit and everything slowed down. Here’s what we learned the hard way: low-latency, high-recall retrieval at scale is not just about picking a vector DB. It’s an operational system with cost,…

  • Scaling LLM + Vector DB Systems: Lessons We Learned the Hard Way

    Introduction We shipped our first retrieval-augmented application (LLM + vector db + metadata store) in three weeks. It felt glorious — until production traffic hit and everything slowed down. Here’s what we learned the hard way: low-latency, high-recall retrieval at scale is not just about picking a vector DB. It’s an operational system with cost,…

  • Scaling LLM + Vector DB Systems: Lessons We Learned the Hard Way

    Introduction We shipped our first retrieval-augmented application (LLM + vector db + metadata store) in three weeks. It felt glorious — until production traffic hit and everything slowed down. Here’s what we learned the hard way: low-latency, high-recall retrieval at scale is not just about picking a vector DB. It’s an operational system with cost,…