Architecture Storage Training Tuning 
The Netflix TechBlog
MARCH 14, 2023
Much of the ML literature focuses on model training, evaluation, and scoring. Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. In addition, we were able to perform a handful of A/B tests to validate or negate our hypotheses for tuning the search experience.
Dynatrace
JUNE 8, 2021
At Dynatrace, our Autonomous Cloud Enablement (ACE) team are the coaches or teach and train our customers to always get the best out of Dynatrace and reach their objectives. Our expert Jean Louis Lormeau suggested a training program to help you become the champion in problem resolution. We can now move to the training phase.
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Dynatrace
JULY 6, 2022
More than half of all respondents cited two key SRE adoption barriers: the perceived difficulty of training existing IT professionals in SRE best practices, and the cost and difficulty of finding skilled professionals. Design, implement, and tune effective SLOs. Make SRE accessible.
Percona
DECEMBER 27, 2023
AI and MLOps Kubernetes has become a new web server for many production AI workloads, focusing on facilitating the development and deployment of AI applications, including model training. Well, here we are – with storage autoscaling for databases in Kubernetes, slated for release in Q1, 2024 after a year of hard work.
All Things Distributed
NOVEMBER 29, 2017
Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. The challenges begin with collecting, cleaning, and formatting training data.
Adrian Cockcroft
NOVEMBER 26, 2023
The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Explore an implementation of this architecture with PVH, the parent company of Tommy Hilfiger and Calvin Klein.
High Scalability
NOVEMBER 25, 2019
It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.
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