The 27th International Symposium on Distributed Computing, DISC 2013, was held this year in Begin Center, Jerusalem, Israel. The event included two workshops days and three days of the main conference, from October 14th to the 18th. Naturally, this review cannot cover all the works that has been presented, but I will try to give you a glimpse of the event.As one might expect from a symposium on distributed computing, the first workshop day included several workshops, which were executed concurrently. At the end of the day, all of the participants synced in a joint session named: "Love and Fear in the Lab", which was the highlight of the day. Uri Alon and his guitar led the session. Uri talked about how important it is to enjoy the research, and how advisors should encourage their students to do so. The session included some hit songs, most notably: "Sunday at the Lab". If you look it up on youtube, you can find Uri performing it (but not in DISC).The next day was the first day of the main conference. The session started with an invited talk, given by Ravi Rajwar from Intel. The talk's main subject was the concept of lock-elision. Lock-elision is a hardware mechanism that enables avoiding locks when different threads do not actually collide in their execution. This effect is achieved using hardware transactional memory: threads attempt to execute a transaction instead of acquiring a lock, and only revert and acquire a lock when necessary. Ravi emphasized the greater benefit of lock-elision is that it comes free: no change is required in the programming model. Programmers think with locks. Lock-elision enables them to continue to program this way, and yet achieve more parallelism. The new Intel Haswell processor supports lock-elision, and thus, as Yehuda Afek (the session chair) said, it is likely to live forever.This talk was followed by the presentation of the paper "Distributed Minimum Cut Approximation" [4], which was the winner of the best paper award. The paper was presented by Mohsen Ghaffari, and it is a joint work by him and Fabian Kuhn. While the minimum cut is a central problem in graph theory, it was not yet studied thoroughly in the context of distributed computing. The authors presented two new probabilistic approximation algorithms for the problem, and a lower bound.