Architecture Hardware Monitoring Tuning 
Alex Podelko
OCTOBER 20, 2016
New Architectures (this post). Cloud seriously impacts system architectures that has a lot of performance-related consequences. From one side, it makes it easier to monitor and update / rollback systems that lowers performance-related risks. The dynamic architectures represent a major challenge for both monitoring and analysis.
The Netflix TechBlog
JANUARY 13, 2022
Batch Pensive Batch Pensive Architecture Batch workflows in the data platform run using a Scheduler service that launches containers on the Netflix container management platform called Titus to run workflow steps. One example where it can dramatically help is Spark jobs, where memory tuning is a significant challenge.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Dotcom-Montior
NOVEMBER 11, 2020
Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Monitoring. Benefits of a Serverless Model.
Dynatrace
OCTOBER 28, 2021
But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Lack of end-to-end observability and monitoring into all systems a blast radius might affect is a common problem. Dynatrace news.
The Netflix TechBlog
AUGUST 30, 2021
Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.
Adrian Cockcroft
JUNE 21, 2022
I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc. that a lot of people used.
The Morning Paper
JUNE 13, 2019
As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.
Expert insights. Personalized for you.
100 
Let's personalize your content