Oreilly

O`REILLY – Testing In Python Video Course

O`REILLY – Testing In Python Video Course
English | Size: 1.11 GB
Category: Tutorial


Getting started with testing can be hard, and this video aims make it all very easy by using examples and explaining the process in a straightforward way. Testing is a core principle of robust software implementations and should be a prime skill to master that can be applied to any project.

OReilly – Kubernetes On Microsoft Azure Fundamentals

OReilly – Kubernetes On Microsoft Azure Fundamentals-QUiD
English | Size: 2.63 GB
Category: Tutorial


Here’s the scenario: You have an application you would like to deploy and test and in order to do so, you must create supporting infrastructure e.g., deploy virtual machines (VMs), manage networking, allow permissions to infrastructure, and identify components required to deploy the application. Those are a lot of prerequisites for deploying and testing an app!

Oreilly Building Secure And Reliable Systems 2020

Oreilly Building Secure And Reliable Systems 2020 RETAiL ePub eBook-LiBRiCiDE
English | Size: 5.26 MB
Category: Tutorial


Can a system be considered truly reliable if it isn’t fundamentally secure? Or can it be considered secure if it’s unreliable? Security is crucial to the design and operation of scalable systems in production, as it plays an important part in product quality, performance, and availability. In this book, experts from Google share best practices to help your organization design scalable and reliable systems that are fundamentally secure.

Oreilly – Strata Data and Ai Superstream Series Data Analytics From Collection to Visualization-iLLiTERATE

Oreilly – Strata Data and Ai Superstream Series Data Analytics From Collection to Visualization-iLLiTERATE
English | Size: 1.81 GB
Category: Tutorial


About the Strata Data & AI Superstream Series: This three-part series of half-day online events gives attendees an overarching perspective of key topics in data and AI today, including deep learning, data analytics, and natural language processing. Each of these areas is pushing the boundaries of what’s possible with more computing power, data, and innovative algorithms.