2018 Tuning Virtualization 
Dynatrace
FEBRUARY 25, 2021
At AWS re:Invent in 2018, the Lambda team presented an excellent talk. What the Lambda team introduced in 2018, for example, the new Firecracker VM, has since been fully rolled out. The virtual CPU is turned off. Stay tuned?for When using a platform, it always helps to have a rough idea of its inner workings.
Brendan Gregg
OCTOBER 8, 2018
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. Here's key differences as of August 2018: Type DTrace bpftrace.
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Percona
DECEMBER 20, 2018
Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. We’ve had nearly 4 million visits to the blog in 2018: thank you! As 2018 moves into 2019, let’s take a quick look back at some of the most popular posts on the blog this year. Linux OS Tuning for MySQL Database Performance.
Tasktop
MAY 24, 2021
The European leg of the DevOps Enterprise (Virtual) Summit 2021 returned last week (17-20 May) as the community reflected on a year like none other. There was plenty of positivity in the (virtual) air as speakers and attendees shared stories of heart, ingenuity, courage and resilience. And their popularity is on the rise.
Brendan Gregg
OCTOBER 7, 2018
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. Here's key differences as of August 2018: Type DTrace bpftrace.
Percona
APRIL 12, 2023
2018: MongoDB announces that it is moving from GNU AGPLv3 licensing to the Service Side Public License (SSPL). So if they can’t beat ‘em in the DBaaS space, they often feel like they have to join ‘em — to the tune of total stack sharing or some proprietary arrangement.
O'Reilly
NOVEMBER 28, 2023
Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. AI users also need to expect incorrect answers and to be equipped to check virtually all the output that an AI produces.
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