Linux Academy

NOVEMBER 1, 2019

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW). YAML is a popular choice for data storage, configuration files, configurations management, etc. Azure Concepts. Free Essentials Courses.

Linux 104

Linux Course AWS Google Cloud 104

Linux Academy

MAY 28, 2019

Implement And Manage Application Services (Azure)- This course provides instructions on how to manage and maintain the infrastructure for the core web apps and services developers build and deploy. To use Docker Compose to deploy Microservices to Docker. Run Docker in Swarm Mode for a more production-ready environment.

Linux 104

Linux AWS Azure Technical Review 104

Modus Create

MAY 15, 2023

Keyword searches for serverless | source: Google Trends Serverless architecture allows developers to create products without managing the underlying infrastructure. You don’t have to manage servers to run apps, storage systems, or databases at any scale. For example, switching from a standard AWS cloud instance to Azure is not easy.

Serverless 98

Serverless Lambda AWS Architecture 98

OTS Solutions

JUNE 9, 2023

This involves determining the programming language, and runtime environment, identifying the data storage and retrieval mechanisms, and analyzing the integration and communication requirements. Evaluate the Technology Stack Once you understand the business requirements, the next step is to evaluate the technology stack.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

This involves determining the programming language, and runtime environment, identifying the data storage and retrieval mechanisms, and analyzing the integration and communication requirements. Evaluate the Technology Stack Once you understand the business requirements, the next step is to evaluate the technology stack.

Enterprise 130

Enterprise Applications Development Scalability 130

Altexsoft

JULY 4, 2022

The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. Obviously, this professional creates, deploys, updates, and supports cloud-based infrastructures. Architecting with Google Compute Engine Specialization. Google Cloud Fundamentals.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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. We will discuss what Kubernetes is and what it does, and we will work with some of the basic functionality of Kubernetes hands-on.

Linux 113

Linux AWS Big Data Course 113

Cloudera

JUNE 2, 2022

Universal Data Movement Use Cases with Streaming as First-Class Citizen : The service needs to address the entire diversity of data movement use cases: continuous/streaming, batch, event-driven, edge, and microservices. In subsequent blogs, we’ll deep dive into some of these use cases and discuss how they are implemented using CDF-PC. .

System 107

System Enterprise Data Cloud 107

Tenable

NOVEMBER 29, 2022

While cloud computing providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure offer robust and scalable services, securing your cloud environment brings its own unique challenges. If an attacker takes advantage of these resources, cloud customers are the ones to foot the bill.

Applications 52

Applications Cloud Software Review Systems Review 52

Abhishek Tiwari

JULY 22, 2023

For instance, terraform-compliance can enforce that all AWS EC2 instances have specific tags defined or that all Google Cloud resources have encryption enabled. 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

APRIL 30, 2019

By Roger Magoulas and Nikki McDonald --> Driven by the need for agility, scaling, and resiliency, organizations have spent more than a decade moving from “trying out the cloud” to a deeper, more sustained commitment to the cloud, including adopting cloud native infrastructure. AWS, Azure, and Google Cloud (15%).

Infrastructure 106

Infrastructure Cloud Company Survey 106

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. We will discuss what Kubernetes is and what it does, and we will work with some of the basic functionality of Kubernetes hands-on.

Linux 60

Linux AWS Big Data Course 60

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. Google Cloud Essentials (NEW).

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

Linux 29

Linux Course AWS Google Cloud 29

Linux Academy

DECEMBER 1, 2019

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW). YAML is a popular choice for data storage, configuration files, configurations management, etc. Azure Concepts. 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

ParkMyCloud

FEBRUARY 20, 2020

They are suited for scale-out workloads such as web servers, containerized microservices , caching fleets, distributed data stores, and development environments. Storage Optimize. Looking for info on the other cloud providers? Google Cloud Machine Types. Microsoft Azure VM Types Comparison. F1 instance type.

Comparison 71

Comparison How To AWS Machine Learning 71

Linux Academy

NOVEMBER 1, 2019

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW). YAML is a popular choice for data storage, configuration files, configurations management, etc. Azure Concepts. Free Essentials Courses.

Linux 15

Linux Course AWS Google Cloud 15

ParkMyCloud

JUNE 19, 2020

There are a wide range of Microsoft Azure VM types that are optimized to meet various needs. With so many options available, finding the right machine type for your workload can be confusing – which is why we’ve created this overview of Azure VM types (as we’ve done with EC2 instance types , and Google Cloud machine types ).

Azure 64

Azure Comparison Storage Virtualization 64

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. Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW).

Linux 18

Linux Course AWS Google Cloud 18

CIO

JANUARY 26, 2023

That way the group that added too many fancy features that need too much storage and server time will have to account for their profligacy. Smaller teams with simple configurations can probably get by with the stock services of the cloud companies. Cost containment is a big issue for many CIOs now and the cloud companies know it.

Tools 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

Perficient

JULY 20, 2023

One of the most important design decisions when configuring autoscaling is selecting the right metrics to use for the scaling rules – each system is unique, and while some applications may require heavy compute, others may need more memory or storage to operate efficiently. Docker) allows for better resource utilization.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Microservices saw a 20% drop. Many developers expressed frustration with microservices during the year and argued for a return to monoliths.

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

Kentik

MAY 14, 2019

One major cloud advantage is the agility of adopting cloud-native architecture including containers/microservices. Kentik for Multi-Cloud Visibility: Now with Support for GCP, AWS and Microsoft Azure Flows. Kentik is on a fast and firm pace to expand cloud visibility for on-prem to public clouds.

Cloud 103

Cloud Azure How To AWS 103

O'Reilly Media - Ideas

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. More than half of respondents use multiple cloud services. • But most Azure and GCP users also use AWS; the reverse isn’t necessarily true.

Cloud 143

Cloud Microservices Serverless Survey 143

Lacework

SEPTEMBER 28, 2022

Here are the primary ones to consider: Microservices : These offer increased flexibility at runtime and better resource utilization efficiency, but the need to manage every microservice in a cloud app can quickly up your complexity level. These workloads, and the cloud environments they’re in, change rapidly.

Cloud 52

Cloud Microservices Firewall Compliance 52

Altexsoft

DECEMBER 28, 2018

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. Azure Functions by Microsoft.

Serverless 68

Serverless Azure AWS Architecture 68

iTexico

OCTOBER 1, 2021

I nstead of having your own data center and buying several servers, we have the opportunity to pay a cloud provider like AWS, Azure, or Google Cloud. These resources include tools and applications like data storage, servers, databases, networking, and software. Types of Cloud.

Examples 52

Examples Cloud Virtualization AWS 52

Altexsoft

OCTOBER 27, 2020

Cloud services like Azure and AWS became a standard way for DevOps projects to set the infrastructure. The Infrastructure as a code is a concept of managing servers in the cloud, using configuration files, instead of dealing with manual configurations. The most prominent cloud infrastructure providers are: Amazon Web Services.

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

Bernd Rucker

AUGUST 18, 2017

The plan was quickly drawn in my sketch book: And we prepared logins for some of the well known cloud providers: AWS, Microsoft Azure, Google Cloud, IBM Bluemix, Pivotal, Heroku and OpenShift. I tried Azure and Google and could easily provision my services on both and assign a public IP to my services with ease.

Serverless 40

Serverless Cloud Azure AWS 40

Modus Create

JUNE 20, 2023

You don’t have to provision servers to run apps, storage systems, or databases at any scale. Technically, serverless isn’t really “server less” as there are still servers that run your application, but they are managed by your cloud provider (read: out of sight, out of mind.) You can think of them as microservices but for UI.

Trends 98

Trends Development Serverless Technical Review 98

Daniel Bryant

SEPTEMBER 13, 2019

being able to deploy each app to multiple clouds), and instead they wanted to leverage different clouds and platforms to meet different requirements e.g. AWS EKS for microservices, Azure functions for event-driven simple batch processing, and Google’s data engineering and machine learning services.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Apiumhub

JANUARY 20, 2022

A basic example could be listening to an AWS SQS queue and saving a file in Google Cloud Storage Bucket for each message that has been received. Comparable to wanting to use Terraform without knowing AWS, GCP or Azure, or wanting to use TailwindCSS without knowing CSS.

AWS 98

AWS Microservices Examples System 98

Existek

JANUARY 27, 2023

Digital wallets also have additional features such as loyalty card storage, gift card management, and cashless payments. GDPR regulates the collection, storage, and use of personal data, and gives individuals the right to access, correct, and delete their data. Spring is a popular open-source framework for building Java applications.

Software Development 52

Software Development Trends Technology Software 52

Exadel

OCTOBER 8, 2019

A few years back, the role of the cloud in organizations’ development and data storage began to reach a critical mass. A multi-cloud strategy, less by intention and more out of business necessity. Tools for Multi-Cloud. However, it does create increased pressure to manage and secure this diverse IT ecosystem.

Enterprise 40

Enterprise Cloud Technical Review Google Cloud 40

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52