I help engineering teams run lean — cut cloud spend, get observability under control, and own the parts of the stack that are worth owning. Most of what I write about here, I've done in production at scale. I take on a small number of advisory engagements where that experience is useful.
Where the bill is actually going, and how to bring it down without breaking anything — right-sizing, commitments, storage lifecycle, data-transfer and architecture. Typically 20–40% with no performance loss.
Per-GB SaaS monitoring bills that scale against you, replaced with an architecture that scales with you. Datadog/CloudWatch → self-hosted LGTM (Loki, Grafana, Tempo, Mimir), or a saner version of what you already run.
Tell me what you're dealing with and I'll come back within a day with an honest read on whether there's real, recoverable spend — or whether you're already lean. Prefer to grab a slot directly? Book the review.
Or just email me at [email protected].
Not sure yet? The blog is the long version of how I think about this — start with the $120K/month observability story or the AWS cost optimization guide.