Architecture Innovation 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
OCTOBER 26, 2020
In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. So stay tuned. The idea was inspired by an innovation day project of our lab in Klagenfurt. Goal: sending metrics to Dynatrace.
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The Netflix TechBlog
JANUARY 10, 2024
This architecture shift greatly reduced the processing latency and increased system resiliency. We rolled out encoding innovations such as per-title and per-shot optimizations, which provided significant quality-of-experience (QoE) improvement to Netflix members. This drove the approach of the “release train”.
Dynatrace
JULY 6, 2022
As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. AI that is based on machine learning needs to be trained.
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. This marks the end of an era of chaos, paving the way for efficiency gains, quicker innovation, and standardized practices.
The Netflix TechBlog
AUGUST 17, 2023
Each algorithm needed a process of evaluation and tuning to get great results in AVA Discovery View. This feedback is easily accessible by our algorithm partners and used in training improved versions of the models. For Visual Search We found that the model was influenced by the text present in the image.
Dynatrace
DECEMBER 2, 2021
As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. Properly set and defined SLOs should have error budgets that give developers space to innovate without impacting operations.
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