Sparky linux reviews 2017
There is no creaky plastic - it feels solid. Its all-aluminum body was cold to the touch, making it feel very premium.
Sparky linux reviews 2017 pro#
Upon removing the laptop from the packaging and holding it in my hands, I actually said "whoa" aloud - and I was alone! You see, it was immediately apparent that the Galago Pro was something special. The company even uses some really clever plastic-wrap, so that you can remove the laptop without a knife or scissor - just unfold some cardboard flaps and you are granted access. System76 designs the inside of its boxes with beautiful art, aimed to inspire the computer user, and that is found here too. Expansion: USB 3.1 Type-C with Thunderbolt, 2 × USB 3.1 Type-A, SD Card Reader.Wi-Fi: Intel Dual Band Wireless-AC 3168.Memory: 8 GB Dual Channel DDR4 at 2133MHz (2 x 4GB).Processor: 7th Gen Intel i7-7500U (Kaby Lake).This reply was modified 2 years, 10 months ago by Ronen Ariely.You can check this document regarding the topic (It is mostly promoting and did not gave me a feeling of technical document with numbers but yet it does brings some real case scenario).
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> "Running MongoDB on a system with Non-Uniform Access Memory (NUMA) can cause a number of operational problems, including slow performance for periods of time and high system process usage." In this architecture NUMA can stay enabled probably. Our conclusion was that Mongos play OK with SQL Server but Mongod should be in different machine (If must, possible to put the config server wit the SQL server and in this case execute mongod using "numactl -interleave=all"). (2) Use VERY low value for the Swappiness (default is 60 and best is 10 or less)! (3) MongoDB is not "NUMA-aware" but SQL Server is designed to take advantage of NUMA - This put a challenge for us. Important! (1) SQL Server on Linux supports only ext4 (you will need to split your files to 16 Tbytes or less) and XFS file system which is the proffered according to our tests.
Sparky linux reviews 2017 windows#
Once we moved to bigger host systems the advantage moved slowly to the windows hosting, but in one point when we examine big data of tens of Terabytes it actually moved back to advantage for Linux. The overhead of the operating system took big part in this case and not just the SQL Server directly. We found clear performance advantage in using SQL Server on Linux in small environments which used (near)default configuration with no optimization. My 2 cent from the performance aspect is this: The test were done mostly on UBUNTU since this is what we have for mongoDB and the idea was to put all in one environment. We did a lot of performance tests back in 2017 and before during the private preview> public preview> and after the release. I just want to add to all that was already said. Please do not see this message as an answer since it cannot stand by it self! This come only if and when the use of SQL Server on Linux actually fir your case. There are really great points which were mentioned in this thread (I mostly liked the first response by Thom A which can be great opening of a blog that summarize the topic), but I feel that it is a missing a bit more specific points like discussion about performance.