Google Hardware Java Systems 
DZone
FEBRUARY 27, 2021
They still will win for mission-critical or real-time systems, which need performance over these parameters. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed. In Byteland they have a very strange monetary system. Ahem, Slow!
Dynatrace
JANUARY 16, 2023
As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Java, Go, and Node.js Kubernetes is emerging as the “operating system” of the cloud.
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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.
Adrian Cockcroft
FEBRUARY 9, 2023
The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. The next layer is operating system platforms, what flavor of Linux, what version of Windows etc. Talking through the map, we start with an end user who can choose a web app or a mobile app.
O'Reilly
SEPTEMBER 19, 2023
Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. Between Google (Vertex AI and Colab) and Amazon (SageMaker), you can now get all of the GPU power your credit card can handle.
O'Reilly
JANUARY 13, 2020
.” Willing also offered a shout-out to the CircuitPython and Mu projects, asking, “Who doesn’t love hardware, blinking LEDs, sensors, and using Mu, a user-friendly editor that is fantastic for adults and kids?” ” Java. It’s mostly good news on the Java front.
The Morning Paper
MAY 23, 2019
Last time out we saw how Google have been able to save millions of dollars though memory compression enabled via zswap. Looking across a set of eight Java benchmarks, we find that only two of them are array dominated, the rest having between 40% to 75% of the heap footprint allocated to objects, the vast majority of which are small.
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