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Similarly, the CPU on our Azure cloud box holding a half dozen dockerized Java apps I can't really see went up at all. Hovering around 10% CPU usage before and after patch. We're using KVM on OpenStack. We use a number of the services and PostgreSQL is our main database platform with our main backend platform being C++ based. I have performance trending going back 1 year and honestly other than Postgres, the performance s are like rounding errors. PostgreSQL is getting about a 7% hit on our databases that don't fit in memory. We also run SAP and again we're not seeing anything. The SAP Database runs on POWER Servers, so obviously unaffected at least by Meltdown. In our case, there was a major kernel version change, so we're just at the tail end of QC before I can release things to production to begin the rolling restarts tomorrow morning. Actually, there is not any measurable difference. Our architecture is completely state-less and when compared with equivalent load there's no difference at all. I guess, default network throughput bottle-neck itself is higher than the random memory cache bottle-neck in my case. There was no impact on the latency either. Fearing automatic update by AWS resulting in performance issue, we rushed to update all our serves and gladly there weren't any performance impact. I don't think not every one has been fortunate, there's still lot of variables reg performance impact of KPTI. This user here using PHP server mentioning 50% performance - and of-course OP issue is being covered here. Judging from our MongoDB instance, I'm optimistic that your SQL server wouldn't face much impact either. Even Redhat tests put the risk at modest. But for something like Redis, the case could be different. If you are on a cloud provider, do check that automatic update is not scheduled; if so it's better to update manually to follow up with mitigation if necessary. This is almost entirely subjective and workload dependent. We know that the biggest performance factor in both of these patches spectre, meltdown is the kernel boundary. MongoDB I HOPE will save files more frequently than redis, since redis is primarily in in-memory DB with some lazy IO access depending on configuration. So if you have a lot of small network calls to redis which, is a kernel boundary event. My gut is that the opposite w