5 posts found.
Four GitHub incidents in five days. Three are the same failure wearing different masks — stale caches, ghost state, retry storms. That pattern is probably in your stack too.
You pasted logs into ChatGPT and got a plausible RCA. It's wrong. What changes when your LLM can query the observability stack directly — and what new failure modes that creates.
Your agent just fired 1,200 requests in ninety seconds. MCP Hangar's dual rate limiting — token bucket on the command bus, exponential backoff on auth — puts a ceiling on runaway tool calls.
Everyone's plugging unvetted MCP servers into production LLMs. Nobody's asking who's liable when they leak credentials or delete data. The governance gap enterprises are ignoring.
Log-based alerting seems free until the bill arrives. Why grepping text is the observability equivalent of payday loans — and what to build instead.