Posts and interview questions tagged Observability.
Mattrx runs Azure Service Bus, Event Grid, and Kafka side by side. The decision framework, real code, and exactly when to pick each.
Prompt injection, data leakage, tenant breaches — seven real attacks on enterprise LLM apps, and the Mattrx production code that stops each one.
Our dashboards aggregated a 1.2-billion-row table at 2,100ms. Here's the partitioning, columnstore, and read-model design that got us to 48ms, with code.
The finale — a year of running MCP in production at Mattrx: what held, what broke, what we'd do differently, and the whole series in one mental model.
The MCP servers you built aren't tied to one model. Here's wiring MCP into OpenAI (client-side + the hosted tool) and agent frameworks — one server, any model.
MCP on Azure at real scale: Container Apps, KEDA autoscaling, a gateway in front, and the SSE-behind-a-load-balancer gotcha that quietly breaks streaming.
The MCP C# SDK turns a typed method into a tool with an auto-generated schema. Here's building MCP servers in .NET 9 — DI-native, testable, AOT-ready.
The protocol was never the enterprise blocker — identity was. Here's rolling MCP across a company: provision once, inherit on login, govern centrally.
An agent that 'feels off' tells you nothing. Here's how to make MCP observable — one trace per agent run, structured logs, and the metrics that matter.
A tool that takes minutes shouldn't freeze your agent. Here's streaming, progress notifications, and the async-job pattern for long-running MCP tools.
A tool result can carry the attack. Here's how to secure MCP against prompt injection, poisoned servers, and tool abuse — and break the lethal trifecta.
A valid token proves who an agent is, not what it may do. Here's scoped, least-privilege authorization for MCP tools — identity plus policy.