Jepsen's AWS Marketplace product (launches a whole Jepsen cluster in a few clicks) has been updated for Debian Buster, and now includes additional dependencies you'll want for running tests based on Elle. Happy testing!

aws.amazon.com/marketplace/pp/

Put a bunch of work into the Jepsen docker-compose setup, and I'm pleased to report it now gives you a full Debian Buster cluster with keys and dependencies out of the box--should be good for running the latest tests. Hopefully this helps!

github.com/jepsen-io/jepsen/tr

Do you use Cassandra or another CQL-compatible database? I'd like to hear your perspective on adding things to a CQL set: docs.google.com/forms/d/e/1FAI

A bug in Jepsen: from versions 0.1.2 to 0.2.0, the counter checker docstring incorrectly claimed to handle decrements, which could cause valid histories to be reported as failures. This did not affect official Jepsen reports, but other counter tests using decrements may have been affected: groups.google.com/u/1/a/jepsen

Love this thing where Google Cloud decides that jepsen.io has been stable for a while and it really ought to do something about that, so it kills the VM and spins up a new one to replace it only *after* it's dead, resulting in ~10 minutes of spurious downtime.

It's been doing this for ~two years, COME ON Google, y'all are supposed to be experts at rollouts. Start new nodes *before* you kill existing ones!

Did an interview with Tobias Macey talking about Jepsen's design, software verification in general, and the distributed database landscape: dataengineeringpodcast.com/jep

RT @andy_pavlo
Reminder: The @jepsen_io Quarantine DB Talk featuring Kyle Kingsbury (@aphyr) is next Monday July 27 @ 4:30pm ET. Video will be live and uncut for the public over Zoom. All are welcome to join. db.cs.cmu.edu/events/db-semina

Anyway, if you have strong feelings, drop em here.

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It's also, like... Jepsen is roughly 50/50 paid vs unpaid work right now. Jepsen contract rates are high, which covers research, maintenance, and writing in between. It's hard to imagine sponsors could materially shift that balance.

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On the other hand, this presents a conflict-of-interest problem: so long as reports have a single sponsor (typically the vendor), it's easy to disclose and understand, but that's much trickier when there's a mix of a dozen ongoing sponsors.

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Been debating whether to open up GitHub Sponsorships for Jepsen. On the one hand, people keep asking to donate, and there could be, say, sponsor logos on the Jepsen web site, or rights to vote on which database Jepsen looks at in the next pro-bono analyses.

Right now Redis makes a great cache, lossy message bus, and scratchpad, but you have to plan on data loss. Redis-Raft should hopefully change that by offering strict serializability, and from our testing, it looks like they're on track. Watch for GA next year!

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Redis-Raft is really cool, because of the existing Redis replication strategies (Sentinel, Cluster, Enterprise, CRDT), all of them can lose updates during partitions.

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There are a ton of neat bugs here, including infinite loops, total data loss on failover, servers sending responses to the wrong clients, and all kinds of crashes. None should have affected production users; Redis-Raft wasn't public until May, and GA isn't until 2021.

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New Jepsen analysis: we worked with Redis Labs to evaluate Redis-Raft, a new, still-under-development approach to Redis replication, and found 21 issues, 20 of which have been fixed in recent builds. jepsen.io/analyses/redis-raft-

I'm gonna be giving a Zoom talk on Elle for CMU's database seminar, on July 27th. I think anyone can join, if you want to listen in. :) db.cs.cmu.edu/events/db-semina

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