About RPKIViews
RPKIViews discovers and stores all the world's RPKI data. Our guiding principle is to support future and unforeseen use cases by making the world's RPKI data easily accessible in original form. RPKI material is collected globally from multiple topologically and geographically diverse vantages points using both rsync and RRDP synchronization. RPKIViews is managed by Job Snijders.
Praise
"RPKIViews has proved many times over the last year to be uniquely invaluable resource for debugging complicated RPKI issues, also functioning as crucial data for auditing RPKI matters, and for bgp.tools it was critical in building out the initial RPKI data sets." - Ben Cartwright-Cox, bgp.tools founder
"RPKIViews contained exactly the data I needed to investigate and conclusively explain a customer-affecting incident." - Jeff Wheeler, Network Architect
"We infer RIR's signing and publication delays from the RPKIViews archive." - Romain Fontugne, Senior Researcher (PAM'23)
The Rpkispool Format
The rpkispool method is a modern approach for materialization of RPKI data in order to support a range of use cases such as auditing Certification Authorities and analytical research. Rpkispools can be used for high-latency replication of raw RPKI data and associated validation states as efficiently compressed durable objects. The method uses widely available standardized tooling (ustar, Zstandard, and CCR) and is designed to support long-term preservation of RPKI data in a cost-effective way.
Rpkispool Mirrors
Mirrors for rpkispool archives (updated daily): Netherlands, Japan, and United States
RPKIviews vantage points
If you would like to participate by sponsoring or hosting a vantage point, please reach out to Job Snijders for coordination.
| Node Identifier | Location | Sponsor |
|---|---|---|
| Amsterdam, Netherlands | Digital Ocean | |
| Amsterdam, Netherlands | Job Snijders | |
| Bangalore, India | Digital Ocean | |
| Bangalore, India | Digital Ocean | |
| Düsseldorf, Germany | Tobias Fiebig | |
| Amsterdam, Netherlands | Job Snijders | |
| New York, United States | Digital Ocean | |
| Singapore, Singapore | Digital Ocean | |
| Sydney, Australia | Digital Ocean | |
| Sydney, Australia | Digital Ocean | |
| Toronto, Canada | Digital Ocean | |
| Zurich, Switzerland | IPng Networks | |
| Zurich, Switzerland | IPng Networks |
Legacy archiving system:
| FQDN | Location | Access |
|---|---|---|
| josephine.sobornost.net | A2B Internet, Amsterdam, Netherlands | rsync, HTTPS |
| amber.massars.net | Massar, Lugano, Switzerland | rsync, HTTPS |
| dango.attn.jp | Internet Initiative Japan, Tokyo, Japan | rsync, HTTPS |
| rpkiviews.kerfuffle.net | Kerfuffle, California, United States | rsync, HTTPS |
Amalgamations
These datasets are losslessly compressed deduplicated collections of all RPKI objects in original form as discovered by RPKIViews in the given period of time.
- Title
- RPKIViews 2025 Amalgamation
- Object count
- 61,524,413
- Size
- compressed: 58.4 GB, uncompressed: 145.0 GB
- Reference
- doi:10.5281/zenodo.18332099
- Title
- RPKIViews 2024 Amalgamation
- Object count
- 56,586,149
- Size
- compressed: 51.4 GB, uncompressed: 115.5 GB
- Reference
- doi:10.5281/zenodo.18328474
- Title
- RPKIViews 2023 Amalgamation
- Object count
- 57,286,485
- Size
- compressed: 48.7 GB, uncompressed: 111.8 GB
- Reference
- doi:10.5281/zenodo.18327429
- Title
- RPKIViews 2022 Amalgamation
- Object count
- 51,850,445
- Size
- compressed: 41.7 GB, uncompressed: 110.2 GB
- Reference
- doi:10.5281/zenodo.18327144
- Title
- RPKIViews 2021 Amalgamation
- Object count
- 46,507,392
- Size
- compressed: 33.8 GB, uncompressed: 78.1 GB
- Reference
- doi:10.5281/zenodo.18082494
Centralized Backup Archive
- FQDN
- aws.rpkiviews.org
- Location
- Amazon Web Services, Paris, France
- Rsync
- rsync://aws.rpkiviews.org/rpki
Other RPKI archives
RIPE NCC's daily snapshot RPKI archive: ftp.ripe.net/rpki.
Dataplane.org collects data derived from AS0 TALs at rpkiviews.dataplane.org.