Remove Big Data Remove Programming Remove Training Remove Tuning
article thumbnail

What is IT automation?

Dynatrace

While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. AI that is based on machine learning needs to be trained.

article thumbnail

USENIX LISA 2018: CFP Now Open

Brendan Gregg

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 43
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

USENIX LISA 2018: CFP Now Open

Brendan Gregg

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 40
article thumbnail

Python at Netflix

The Netflix TechBlog

Device interaction for the collection of health and other operational data is yet another Python application. Python has long been a popular programming language in the networking space because it’s an intuitive language that allows engineers to quickly solve networking problems.

article thumbnail

Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202