Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Data scientists love Python, period.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Abhishek Tiwari

JULY 22, 2023

Agile methodologies and continuous integration/continuous deployment (CI/CD) pipelines have become the norm, enabling rapid release cycles and frequent updates. For instance, terraform-compliance can enforce that all AWS EC2 instances have specific tags defined or that all Google Cloud resources have encryption enabled.

Policies 52

Policies Compliance Software Review AWS 52

StubHub

NOVEMBER 5, 2018

In our effort to up our game, we have to: Constantly change the way we deliver products to our fans Increase our use of data to further personalize the fan experience Radically expand the number of experiments we conduct Double-down on our focus on the fan journey And accelerate everything?—?our Developers ?

Architecture 40

Architecture Weak Development Team SDLC Microservices 40

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Cloud: The Hidden Costs of Kubernetes with Bridget Lane , June 6. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Spotlight on Cloud: Becoming Cloud Native with Jon Collins , May 2. Data science and data tools. Core Agile , May 9. Programming.

Course 44

Course Training Artificial Inteligence Machine Learning 44

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. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 60

Linux AWS Big Data Course 60

Linux Academy

JANUARY 1, 2020

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. Big Data Essentials.

Linux 31

Linux Course AWS Google Cloud 31

Linux Academy

JANUARY 30, 2020

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. Big Data Essentials.

Linux 29

Linux Course AWS Google Cloud 29

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. Big Data Essentials.

Linux 26

Linux Course AWS Google Cloud 26

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

SEPTEMBER 30, 2019

The course will begin with the installation of a MySQL server, then cover common administrative tasks like creating databases and tables, inserting and viewing data, and running backups for recovery. We will also cover the different data types that are allowed in MySQL, and discuss user access and privileges. Big Data Essentials.

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. Big Data Essentials.

Linux 15

Linux Course AWS Google Cloud 15

O'Reilly Media - Ideas

MARCH 1, 2023

Our data shows us what O’Reilly’s 2.8 Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. That’s a surprise, particularly since the operations world is still coming to terms with cloud computing.

Trends 131

Trends Technical Review Technology Software Review 131

Exadel

DECEMBER 4, 2019

CrossKube is a packaged solution that gives organizations the ability to deploy everything that is needed for a highly scalable, cloud-based application, including application best-practice templates for Kubernetes, microservices, containerization, application discovery, database connectivity, front-end application structure and automated testing.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Linux Academy

AUGUST 29, 2019

Network routing is the process of enabling computers to transfer data over networks, including the internet. We will begin by discussing IP addressing, which provides logical addresses for data to be sent to. Google Cloud Essentials (NEW). Big Data Essentials. If you have ever wondered: What is the cloud?

Linux 18

Linux Course AWS Big Data 18

Apiumhub

OCTOBER 2, 2019

Capside delivers Cloud training in all knowledge areas and technologies related to Cloud. Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud. They also offer training to leverage Cloud and DevOps technologies, to create a Continous Delivery Pipeline. Microservices with AWS Lambdas.

Software Review 9

Software Review Software Development Technical Review Course 9

Altexsoft

OCTOBER 27, 2020

The Infrastructure as a code is a concept of managing servers in the cloud, using configuration files, instead of dealing with manual configurations. Continuous integration (CI) comprises various processes that prepare code for deployment in DevOps. As we mentioned before, usually DevOps projects deal with cloud infrastructure.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

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

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Another challenge is data security. AI and machine learning, on the other hand, can be used to analyze customer data and identify new opportunities for growth.

Software Development 52

Software Development Trends Technology Software 52

Palo Alto Networks

NOVEMBER 12, 2019

With Google Cloud’s native security toolkit and deep integrations with Palo Alto Networks cloud security products such as the VM-Series , Prisma Cloud , and Prisma SaaS , you can define a consistent security posture in Google Cloud and on-premises. Let’s look into some of these integrations. .

Google Cloud 8

Google Cloud Cloud Firewall Load Balancer 8

Abhishek Tiwari

SEPTEMBER 10, 2017

Kubernetes can be an ultimate local development environment particularly if you are wrangling with a large number of microservices. In this post, we will cover how you can create a local development workflow using Minikube and tools such as Make to iterate fast without the wait imposed by your continuous integration pipeline.

Development 49

Development Software Review Systems Review Continuous Integration 49

Altexsoft

NOVEMBER 27, 2018

js is a data-driven library, oriented on data visualization. It allows for manipulating data-based documents by binding arbitrary data to DOM and applying data-driven transformations to the document. tools include modules (Ember Data and Ember Inspector) that force the building process. Back-end frameworks.

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

AI is making that transition now; we can see it in our data. To understand the data from our learning platform, we must start by thinking about bias. First, our data is biased by our customer base. We used data from the first nine months (January through September) of 2021. But what other transitions are in progress?

Trends 107

Trends Technical Review Technology Artificial Inteligence 107

O'Reilly Media - Ideas

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. But what are “trends”?

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145