Ceph RGW Accounts in Tentacle: Plan the Identity Model
Ceph tenants and accounts solve different problems. Separate the Tentacle upgrade from account adoption, then test ownership, IAM and notifications.
Ceph tenants and accounts solve different problems. Separate the Tentacle upgrade from account adoption, then test ownership, IAM and notifications.
A DR document states minutes and megabytes. Replication architecture delivers a convergence time, a single-copy window and a failed tail. This guide maps what actually decides your RTO and RPO.
RTO and RPO are measurable recovery objectives, not labels on an architecture diagram. Build a failure matrix and test the complete recovery path.
A production guide to running object storage at scale: why object count is a capacity axis, how prefix design and the background scanner set your real SLAs, and how to choose engines, media and release channels.
Second in my benchmark best practices series. Little’s law checks that throughput, latency and concurrency describe the same system, exposes the load generator’s ceiling, and turns a latency budget into a sizing requirement.
The 405 storm had three root defects in the delete-marker path. PR #162 fixed the first attempt; PR #184 fixes retries, purge status and MRF healing in the Silo fork.
MinIO Community Edition has had no release since October 2025 and the repository is archived. Three CVEs will never be patched there. Here is how to assess what your cluster is actually exposed to, and where the maintained community fork fits in.
Two movements meet: AI is getting production responsibilities, and production data is flowing through AI. Anthropic’s September report, malicious routers, training data provenance and model drift show what to verify before an AI reaches production.
HEAD probes on delete markers answer 405 and replication counts that as success. 20M stuck versions turned the loop into 684M useless requests in 48 h.
A preregistered ETH Zurich study found that computer science knowledge, not writing skill, is the strongest predictor of vibe coding success. Here is what that does and does not say about DHH’s claim that programmers can be worse at AI coding than people who cannot code.