2014 Availability Hardware Systems 
Dynatrace
AUGUST 11, 2022
Cloud providers then manage physical hardware, virtual machines, and web server software management. The FaaS model of cloud computing debuted in 2014 with startups like hook.io. Increased availability. Because a third party manages part of the infrastructure, IT teams give up a measure of control over system architecture.
Brendan Gregg
MARCH 16, 2024
The problem is that this system has a default libc that has been compiled without frame pointers, so any stack walking stops at the libc layer, producing a partial stack that's missing the application frames. This is pretty common and usually goes unnoticed as the flame graph looks ok at first glance. Just to name a couple of languages.
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Dynatrace
SEPTEMBER 29, 2020
Since we moved to AWS in May 2014 we have had an availability of 99.95%! It was on August 25 th at 14:00 when Davis initially alerted on a disk write latency issues to Elastic File System (EFS) on one of our EC2 instances in AWS’s Sydney Data Center. Sydney, we have a disk write latency problem!
Dynatrace
APRIL 5, 2021
The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? Customizing and connecting these services requires code.
Brendan Gregg
NOVEMBER 29, 2017
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. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. I'd expect between 0.1%
Brendan Gregg
SEPTEMBER 25, 2021
These strange questions came to the fore back in 2014 when Netflix was switching services from CentOS Linux to Ubuntu, and I helped debug several weird performance issues including one I'll describe here. CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Microbenchmark os::javaTimeMillis() on both systems.
ACM Sigarch
APRIL 26, 2018
The new DGX-2, which achieves 2 petaFLOPS in the system, combines 16 fully interconnected GPUS with 10x the deep learning performance. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. SPU: Stream Processing Unit (SPU) is related to the specialized hardware to process the data streams of video.
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