In the second of our IRR landscape series, we focus squarely on data quality: how accurate, current, and usable IRR routing data really is. Using freshness, DFZ alignment and RPKI conflicts, we spotlight where third-party IRRs drift and why cleanup matters.
Read more here: https://labs.ripe.net/author/tobias-striffler/the-irr-landscape-data-quality-the-good-the-bad-and-the-outdated/
