Kuldeep Paul

Kuldeep Paul

Agentic AI | LLM | Product Management | Product Marketing | Data Science | SaaS

5 Best Open-Source LLM Gateways for Self-Hosted Deployments in 2026

5 Best Open-Source LLM Gateways for Self-Hosted Deployments in 2026

Data residency, audit trails, and fixed-cost economics push production AI onto self-hosted gateways. This guide compares five open-source options and covers Kubernetes deployment, air-gapped and in-VPC installation, sizing, and day-two operations.

Top 5 LLM Gateways in 2026: A Production-Ready Comparison

Top 5 LLM Gateways in 2026: A Production-Ready Comparison

Five LLM gateways ranked on production readiness: Bifrost, LiteLLM, Kong, Cloudflare, and OpenRouter, compared on published overhead, failover, governance depth, MCP support, and deployment model.

How to Connect Claude Code to an MCP Gateway

How to Connect Claude Code to an MCP Gateway

TL;DR * An MCP gateway gives Claude Code one /mcp endpoint in place of a separate config block, credential, and auth flow for every MCP server. * Bifrost connects to upstream MCP servers over STDIO, HTTP, or SSE and exposes all of their tools to Claude Code through a single connection

Best Enterprise MCP Gateway for Low Latency, High Throughput

Best Enterprise MCP Gateway for Low Latency, High Throughput

TL;DR * Bifrost is the best enterprise MCP gateway for low-latency, high-throughput workloads, adding 11µs of core gateway overhead per request at 5,000 RPS with a 100% success rate in published benchmarks. * MCP gateway overhead compounds across every model turn and tool call, so an agent stack

Open Source Observability Platform for LLM and Agent Workloads

Open Source Observability Platform for LLM and Agent Workloads

TL;DR * An open source observability platform for LLM traffic is assembled from four building blocks: the OpenTelemetry Collector for pipelines, Prometheus for metrics, Grafana for dashboards, and Jaeger (or another OTLP backend) for traces. * A generic stack records HTTP status codes and latency but has no native concept of

AI Security Risks: A Practical Guide for Engineering Teams

AI Security Risks: A Practical Guide for Engineering Teams

A register of AI security risks for engineering teams, mapped to the OWASP Top 10 for LLM Applications with the enforcement layer for each.

AI Security Posture Management for LLM Applications

AI Security Posture Management for LLM Applications

A guide to AI security posture management for LLM applications, covering how AI-SPM differs from CSPM and DSPM and its four pillars.