O'Reilly
JANUARY 13, 2020
As we enter a new decade, we asked programming experts?—including We checked in with Jim Blandy , coauthor of Programming Rust , to see how his vision of Rust’s progress changed over the course of 2019. including several of our own O’Reilly authors and instructors?—for
Dynatrace
JANUARY 16, 2023
The report also reveals the leading programming languages practitioners use for application workloads. are the top 3 programming languages for Kubernetes application workloads. Messaging : RabbitMQ and Kafka are the two main messaging and event streaming systems used. are the top Kubernetes programming languages.
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Dynatrace
JULY 6, 2022
At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. When monitoring tools release a stream of alerts, teams can easily identify which ones are false and assess whether an event requires human intervention.
Dynatrace
AUGUST 14, 2023
An organization may collect this data the following ways. Using application programming interfaces (APIs) to instrument a wider range of digital touchpoints. These properties reflect the state of the user and apply to all their associated events and event properties.
Dynatrace
MARCH 14, 2022
AIOps (or “AI for IT operations”) uses artificial intelligence so that big data can help IT teams work faster and more effectively. There are two main approaches to AIOps: Traditional AIOps: Machine learning models identify correlations between IT events. Gartner introduced the concept of AIOps in 2016.
The Netflix TechBlog
APRIL 29, 2019
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. restart everything that has failed in the last hour.
The Netflix TechBlog
OCTOBER 18, 2022
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.
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