Kentik

APRIL 3, 2023

eBPF is a lightweight runtime environment that gives you the ability to run programs inside the kernel of an operating system, usually a recent version of Linux. Those calls could be for kernel services, network services, accessing the file system, and so on. This could be due to congestion or even errors on the remote NIC.

Programming 110

Programming Load Balancer Linux Network 110

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. AI-driven Future State Cloud Operations , June 7. Reinforcement Learning: Building Recommender Systems , August 16. Understanding Data Science Algorithms in R: Regression , July 12. AI and machine learning.

Course 50

Course Training Artificial Inteligence Software Review 50

O'Reilly Media - Ideas

APRIL 13, 2023

This means making the hardware supply chain into a commodity if you make PCs, making PCs into commodities if you sell operating systems, and making servers a commodity by promoting serverless function execution if you sell cloud. The new paradigm shift is from the cloud to the protocol network.

Technical Review 136

Technical Review Authentication Storage Serverless 136

Altexsoft

JULY 4, 2022

The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. The software layer can consist of operating systems, virtual machines, web servers, and enterprise applications. The infrastructure engineer supervises all three layers making sure that the entire system.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Altexsoft

FEBRUARY 19, 2019

How Continuous Integration works, starting from triggering a build in a version control system (VCS) Source: Django Stars. Jenkins is an open-source project written in Java that runs on Windows, macOS, and other Unix-like operating systems. So, let’s dive into details by asking practical questions: What CI tool do I need?

Continuous Integration 90

Continuous Integration Comparison Weak Development Team Software Review 90

Existek

JANUARY 11, 2022

For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure 52

Azure AWS Cloud How To 52

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. There are a couple of downsides though in case you are looking to use it to support tens of thousands of users working on hundreds of millions of files simultaneously containing petabytes of data. Data interdependence. Introduction.

Architecture 21

Architecture Data Center Software Review Storage 21

LeanEssays

JULY 14, 2019

I then make a sustained argument from the Linux experience for the proposition that “Given enough eyeballs, all bugs are shallow”, suggest productive analogies with other self-correcting systems of selfish agents, and conclude with some exploration of the implications of this insight for the future of software.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91

Altexsoft

DECEMBER 10, 2019

Except that we are describing real-life situations caused by small failures in the computer system. If passengers are stranded at the airport due to IT disruptions, a passenger service system (PSS) is likely to be blamed for this. The first generation: legacy systems. Travel plans screwed up. Million-dollar deals crumbed.

Airlines 18

Airlines Systems Review System Travel 18

Cloudera

OCTOBER 7, 2021

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., A data mesh can be defined as a collection of “nodes”, typically referred to as Data Products, each of which can be uniquely identified using four key descriptive properties:

Architecture 124

Architecture Data Security Technical Review 124