Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

StubHub

NOVEMBER 5, 2018

Move into the private cloud first in a familiar environment, then to a Google Cloud Platform (GCP) as experience is gained ? Using the Pivotal Cloud Foundry (PCF) platform as a service (PaaS) in private data center ? Using the PCF platform on the Google Cloud Platform (GCP) as a hybrid cloud deployment strategy ?

Architecture 40

Architecture Weak Development Team SDLC Microservices 40

Linux Academy

APRIL 30, 2019

Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. Best practices for security are covered in a conventional continuous integration and continuous deployment (CI/CD) pipeline.

Linux 113

Linux AWS Big Data Course 113

OTS Solutions

SEPTEMBER 5, 2023

Security models change a lot in the cloud, which means that in addition to the regular identity-based security models, you need to extend security to DevOps tools and organizations. Security is supposed to be part of the automated testing and should be built into the continuous integration and deployment processes.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

Linux Academy

JANUARY 1, 2020

To continually support your mission to learn and grow, we encourage you to try these free courses and resources for developing and advancing your Cloud skills. Azure Cloud Services and Infrastructure. Google Cloud Essentials (NEW). Courses Free in January : Implementing Azure DevOps Development Processes.

Linux 31

Linux Course AWS Google Cloud 31

Linux Academy

JANUARY 30, 2020

To continually support your mission to learn and grow, we encourage you to try these free courses and resources for developing and advancing your Cloud skills. AWS Cloud Services and Infrastructure – Cost Optimization Deep Dive. Google Cloud Essentials (NEW). Included with Community Membership.

Linux 29

Linux Course AWS Google Cloud 29

Linux Academy

APRIL 29, 2019

Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. Best practices for security are covered in a conventional continuous integration and continuous deployment (CI/CD) pipeline.

Linux 60

Linux AWS Big Data Course 60

Linux Academy

DECEMBER 1, 2019

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Free Essentials Courses.

Linux 26

Linux Course AWS Google Cloud 26

Linux Academy

SEPTEMBER 30, 2019

Google Cloud Functions is a serverless, event-driven, managed platform for building and connecting cloud services. It’s a code-centric service where the functions you write can be triggered by an HTTP request or any number of cloud events—both on and off Google Cloud. Google Cloud Essentials (NEW).

Linux 22

Linux Course Serverless Google Cloud 22

Linux Academy

NOVEMBER 1, 2019

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Free Essentials Courses.

Linux 15

Linux Course AWS Google Cloud 15

Altexsoft

OCTOBER 27, 2020

DevOps in its core relies on automation as a major approach to testing, deployment, infrastructure configuration, and other tasks. In this article, we’ll discuss the categories of tools existing for DevOps and look at instruments for continuous delivery/integration, testing, monitoring, collaboration, code management, and more.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

O'Reilly Media - Ideas

MARCH 1, 2023

For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception. Although DDD has been around for a long time, it came into prominence with the rise of microservices as a way to think about partitioning an application into independent services. growth over 2021.

Trends 136

Trends Technical Review Technology Software Review 136

Linux Academy

AUGUST 29, 2019

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Essentials . AWS Concepts.

Linux 18

Linux Course AWS Google Cloud 18

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

CircleCI

MAY 27, 2022

To keep ahead of the curve, many organizations are looking at how to evolve their technical processes to accelerate their IT infrastructure development. Most cloud providers offer serverless functions, which they may refer to as functions as a service (FaaS). They are ideal for providing API endpoints or microservices.

Serverless 52

Serverless Applications Technical Review Microservices 52

Modus Create

AUGUST 5, 2020

If you ever need a backend, you can create microservices or serverless functions and connect to your site via API calls. When continuous Integration tools are added to the mix, deploys are safer and the chances that your site will go offline are drastically reduced. You Won’t Need to Manage the Infrastructure.

Performance 93

Performance Serverless Web Development Load Balancer 93

Existek

JANUARY 27, 2023

It provides a comprehensive set of features for building enterprise applications and is widely used for creating web applications, RESTful web services, and microservices. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

NOVEMBER 27, 2018

Docker is a cross-platform instrument that packages the code into microservices and helps to deploy and integrate it. Jenkins is a tool that can be used either as a server for continuous integration or a continuous delivery hub that comes with lots of additional plugins to tweak continuous delivery workflow.

Tools 72

Tools Development Software Review Open Source 72

Altexsoft

AUGUST 30, 2018

Frequent code submissions prevent a so-called “integration hell” when the differences between individual code branches and the mainline code become so drastic over time that integration takes more than actual coding. The most popular tools for continuous integration are Jenkins, GitLab CI, Bamboo, and TeamCity.

DevOps 90

DevOps Engineering Continuous Delivery Systems Administration 90

O'Reilly Media - Ideas

JANUARY 25, 2022

“AWS,” “Azure,” and “cloud” were also among the most common words (all in the top 1%), again showing that our audience is highly interested in the major cloud platforms. Both “GCP” and “Google Cloud” were in the top 3% of their respective lists. Becoming Secure.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

O'Reilly Media - Ideas

JANUARY 25, 2021

The most successful superstream series focused on software architecture and infrastructure and operations. We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. We can’t just get faster processors. FaaS, a.k.a. serverless, a.k.a.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145