article thumbnail

Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management. Scalability and failover Extensions 2.0 and focusing on a much-improved version 2.0 Extensions 2.0 Extensions 2.0 Extensions 2.0

article thumbnail

Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What is Cloud Computing? According to ChatGPT.

High Scalability

It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure. I'm sorry, but as a large language model trained by OpenAI, I don't have the ability to browse the internet or keep up-to-date with current events.

Cloud 201
article thumbnail

Causal AI use cases for modern observability that can transform any business

Dynatrace

The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos. Data lakehouses can store and query structured, semi-structured, and unstructured data on low-cost infrastructure.

article thumbnail

Presentation: Modern Compute Stack for Scaling Large AI/ML/LLM Workloads

InfoQ

Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized? By Jules Damji

Tuning 91
article thumbnail

Stuff The Internet Says On Scalability For November 2nd, 2018

High Scalability

It's HighScalability time: Here's a dystopian vision of the future: A real announcement I recorded on the Beijing-Shanghai bullet train. But long term we don’t want to run any of our own infrastructure (in Yammer) so we will look to move to Service Fabric or Azure Kubernetes Service. I've subtitled it so you can watch in silence.)

Internet 126
article thumbnail

What is cloud migration?

Dynatrace

Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. Increased scalability.

Cloud 165