Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. Data migration involves moving both data and analytics workloads.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Linux Academy

APRIL 30, 2019

Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data. Starting with the definition of big data, we describe the various characteristics of big data and its sources. Using real-world examples, we highlight the growing importance of big data.

Linux 113

Linux AWS Big Data Course 113

O'Reilly Media - Ideas

APRIL 30, 2019

This shift is an important part of a trend we call the Next Architecture , with organizations embracing the combination of cloud, containers, orchestration, and microservices to meet customer expectations for availability, features, and performance. This isn’t too surprising, given the essential role microservices play in that industry.

Infrastructure 101

Infrastructure Cloud Company Survey 101

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. Sentinel policies are written to enforce rules such as: Requiring encryption for all Amazon S3 buckets and Azure Blob Storage containers.

Policies 52

Policies Compliance Software Review AWS 52

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Spotlight on Data: Data as an Asset with Friederike Schüür and Jen van der Meer , May 20. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. Programming.

Course 44

Course Training Artificial Inteligence Machine Learning 44

RapidValue

SEPTEMBER 3, 2019

The rise of Kubernetes epitomizes the transition from Big Data to flexible data and it is evolving from supporting simple, stateless applications to sophisticated data-driven applications. Azure Kubernetes Service or AKS enables you to do that. Azure Kubernetes Service or AKS enables you to do that. The Benefits.

Azure 12

Azure Applications Agile Systems Review 12

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. Courses Free in January : Implementing Azure DevOps Development Processes. Azure Cloud Services and Infrastructure. Big Data Essentials. How to Get a Linux Job.

Linux 31

Linux Course AWS Google Cloud 31

Linux Academy

APRIL 29, 2019

Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data. Starting with the definition of big data, we describe the various characteristics of big data and its sources. Using real-world examples, we highlight the growing importance of big data.

Linux 60

Linux AWS Big Data Course 60

Altexsoft

JULY 4, 2022

An infrastructure engineer is a person who designs, builds, coordinates, and maintains the IT environment companies need to run internal operations, collect data, develop and launch digital products, support their online stores, and achieve other business objectives. Infrastructure upgrades and integration project management.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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. Courses Free in February : Implementing Azure DevOps Development Processes. Big Data Essentials. AWS Cloud Services and Infrastructure – Cost Optimization Deep Dive.

Linux 29

Linux Course AWS Google Cloud 29

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Linux Academy

DECEMBER 1, 2019

Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. YAML is a popular choice for data storage, configuration files, configurations management, etc. Azure Concepts.

Linux 26

Linux Course AWS Google Cloud 26

Datavail

AUGUST 5, 2021

In a previous blog post, we discussed a number of ways that you can modernize your legacy applications, including cloud migrations, microservices and DevOps. Below, we’ll go into more detail about the Microsoft Azure cloud, including some of the most important Azure features and services for developing and modernizing applications.

Azure 52

Azure Software Development Artificial Inteligence Software 52

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

Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. YAML is a popular choice for data storage, configuration files, configurations management, etc. Azure Concepts.

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. Looking at searches is worthwhile, but it’s important to realize that search data and usage data often tell different stories.

Trends 131

Trends Technical Review Technology Software Review 131

Altexsoft

OCTOBER 27, 2020

Cloud services like Azure and AWS became a standard way for DevOps projects to set the infrastructure. Continuous integration (CI) comprises various processes that prepare code for deployment in DevOps. In a microservice architecture , dozens of containers will be interconnected making up the app. Microsoft Azure.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

Linux Academy

AUGUST 29, 2019

Let’s take a quick look at how to install and configure SQL Server on Linux, whether we’re using a traditional machine, containers, or an Azure SQL VM. Network routing is the process of enabling computers to transfer data over networks, including the internet. Big Data Essentials. Azure Concepts.

Linux 18

Linux Course AWS Big Data 18

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

Apiumhub

OCTOBER 2, 2019

Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud. Their training courses help teams get better at Test Driven Development, Continuous Integration and Deployment, Domain-Driven Design, Clean Code and SOLID principles, Behaviour Driven Development and many other technical practices. Apium Academy.

Software Review 9

Software Review Software Development Technical Review Course 9

CircleCI

OCTOBER 14, 2022

Creating a pipeline to continuously deploy your serverless workload on a Kubernetes cluster. Containers and microservices have revolutionized the way applications are deployed on the cloud. application as a serverless workload with Knative on Azure Kubernetes Service (AKS) using CircleCI and ArgoCD. Microsoft Azure account.

Serverless 52

Serverless Azure Policies Resources 52

CircleCI

OCTOBER 20, 2022

In addition, container orchestration tools can share only specific resources between users, reducing the risk of data breaches and other security vulnerabilities. Azure Kubernetes Service (AKS). Azure Kubernetes Service (AKS) is Azure’s fully managed container service that simplifies deploying a Kubernetes cluster in Azure.

Open Source 52

Open Source Azure Resources Applications 52

James Shore

MAY 31, 2021

Netflix shut down their data centers and moved everything to the cloud! The quoted data was accessed on May 4th, 2021. The quoted data was accessed on May 4th, 2021. Approximately the same thing again in a redundant data center (for disaster recovery). Microservices and Monoliths. Start With Simplicity.

System Architecture 94

System Architecture Architecture Systems Review System 94

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

OCTOBER 20, 2020

Starting with a collection of Docker containers, Kubernetes can control resource allocation and traffic management for cloud applications and microservices. Along with modern continuous integration and continuous deployment (CI/CD) tools, Kubernetes provides the basis for scaling these apps without huge engineering effort.

Microservices 69

Microservices Technical Review Load Balancer Azure 69

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. In addition, traditional CMS solutions lack integration with modern software stack, cloud services, and software delivery pipelines.

Systems Review 63

Systems Review System Microservices Software Review 63

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

Perficient

DECEMBER 21, 2022

Later the concept of microservices emerged as the result of the growth of distributed architectures and cloud computing. Further growing with features, it also improved its architectural evolution from on-prem to IaaS, followed by Azure PaaS.

Weak Development Team 64

Weak Development Team Development Web Development MVC 64

CircleCI

MARCH 22, 2021

This is where using the microservice approach becomes valuable: you can split your application into multiple dedicated services, which are then Dockerized and deployed into a Kubernetes cluster. Continuous integration pipelines are a key part of this. Scaling data storage. Automate first. Scaling file storage.

Applications 59

Applications Load Balancer Software Review Storage 59

Daniel Bryant

APRIL 3, 2020

Therefore, a core decision when adopting this framework is whether to use a hosted offering, such as Google GKE , Amazon EKS , or Azure AKS , or whether to self-manage this using administrative tooling like kops and kubeadm. Many of the principles from the data mesh paradigm apply to the topic of observability.

Continuous Delivery 52

Continuous Delivery Cloud Metrics Applications 52

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