Currently we are running JunOS 20.4R3 on our EVPN switches in Eqiad rows E and F.
There are several improvements and bugfixes in more recent releases that we need to upgrade to overcome, detailed in T306421, T358488 and T365204, as well as some security fixes. So we need to upgrade the devices in these rows over the next while.
We are using the below master gsheet to co-ordinate with other SRE teams on depool and similar actions that are needed to enable this work:
https://docs.google.com/spreadsheets/d/1pLPpzGBmdExXxQ_0_eGXpO0VlUU5oPKZy-_KViMSwuM
Current proposed schedule as follows:
Device | Date | Tasks | Teams | Notes |
---|---|---|---|---|
ssw1-e1-eqiad | Thur Jun 5th | T366361 | Traffic | |
ssw1-f1-eqiad | Thur Jun 5th | T366361 | Traffic | |
lsw1-f5-eqiad | Tue Jun 11th | T365982 | Data Platform, Search, Data Persistence | |
lsw1-f6-eqiad | Thur Jun 13th | T365983 | Data Platform, Data Persistence | |
lsw1-f7-eqiad | Tue Jun 18th | T365984 | Data Platform, Data Persistence | |
lsw1-e6-eqiad | Tue Jun 20th | T365987 | Data Platform, Search, Data Persistence | swapped with T365986 |
lsw1-e5-eqiad | Thur Jun 25th | T365986 | Data Platform, Search, Data Persistence, Service Ops | swapped with T365987 |
lsw1-e7-eqiad | Thur Jun 27th | T365988 | Data Platform, Search, Data Persistence | |
lsw1-e2-eqiad | Wed Jul 3rd | T365994 | Data Platform, Search, Data Persistence, Machine Learning, Observability, Service Ops | |
lsw1-e3-eqiad | Tue Jul 9th | T365995 | Data Platform, Search, Data Persistence, Machine Learning, Observability, Service Ops | |
lsw1-e1-eqiad | Wed Jul 10th | T365993 | Data Platform, Search, Data Persistence, Machine Learning, Observability, Service Ops | Postponed from Jul 2nd |
lsw1-f1-eqiad | Thu Jul 11th | T365996 | Data Platform, Search, Data Persistence, Machine Learning, Observability | |
lsw1-f2-eqiad | Tue Jul 16th | T365997 | Data Platform, Search, Data Persistence, Machine Learning, Observability, Service Ops | |
lsw1-f3-eqiad | Tue Jul 23rd | T365998 | Data Platform, Search, Data Persistence, Machine Learning, Service Ops | |