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In this article, we will proceed with configuring a SQL Server Always On Availability Groups and perform failover validations. A comprehensive guide to SQL Server Always On Availability Groups on Windows Server2016 Configuration of virtual machines on Oracle […].
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Originally developed as a research project at the University of California, Berkeley, in 2009, Mesos launched formally as a mature product in 2016 under the auspices of the Apache Software Foundation, a decentralized open source community.
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My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.
more capable, and built from the ground up for the modern era of the eBPF virtual machine. eBPF was created by Alexei Starovoitov while at PLUMgrid (he's now at Facebook) as a generic in-kernel virtual machine, with software defined networks as the primary use case. It's shaping up to be a DTrace version 2.0: eBPF does more.
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I am looking forward to share my thoughts on ‘Reinventing Performance Testing’ at the imPACt performance and capacity conference by CMG held on November 7-10, 2016 in La Jolla, CA. I decided to publish a few parts here to see if anything triggers a discussion. It would be published as separate posts: – Introduction (a short teaser).
20+ years ago when I joined Microsoft I was handed a diskette (maybe it was two), and was told “Here is SQL Server. So I proceeded to install SQL Server 4.20 There was a GUI as part of setup but within just a few clicks, SQL Server was installed and ready for use. So now there are more choices to make when installing SQL Server.
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LTS (April 2016). I wrote about it in a previous post, [DTrace for Linux 2016]. I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks. Oracle VM Server is based on Xen. It's the official profiler.
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I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers.
My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.
I recently visited a customer onsite and presented to them topics on SQL Server2016. One question I got went like this “I’ve tried to restore a database on SQL Server using the WITH STATS option. Another possibility here is a large number of Virtual Log Files but I thought we made advances here in our latest releases.
I recently visited a customer onsite and presented to them topics on SQL Server2016. One question I got went like this “I’ve tried to restore a database on SQL Server using the WITH STATS option. Another possibility here is a large number of Virtual Log Files but I thought we made advances here in our latest releases.
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more capable, and built from the ground up for the modern era of the eBPF virtual machine. eBPF was created by Alexei Starovoitov while at PLUMgrid (he's now at Facebook) as a generic in-kernel virtual machine, with software defined networks as the primary use case. It's shaping up to be a DTrace version 2.0: eBPF does more.
The presence of virtual DOM and SPA are the key influencing USPS of React JS. React developers introduced Inferno in 2016 as an experiment to examine whether or not a library can improve the battery, performance, and UX of mobile apps. You will get add-ons like server-side rendering, routing and more. Inferno Cons.
Teams achieving this level of discipline about performance begin to eliminate variance from their lab data by running tests in "less noisy" environments than somewhere like a developer's laptop, a shared server, or a VM with underlying system variance. miAi3020A9G #perfmatters 1 10:04 AM · Jul 7, 2016.
Correspondingly, 3GB functions should see a 2x CPU performance improvement over 1.5GB Lambdas, but this is through doubling the number of cores the function has access to, rather than double the virtualized time-slices. without web app servers?—?to We plan to test this out when we get the chance. But this year? Step Functions.
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Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. It's an exciting development in cloud computing: hardware virtualization is now fast. Virtualized in Hardware**: Hardware support for virtualization, and near bare-metal speeds.
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