CIO

JUNE 16, 2023

As expected, operating in the cloud has enabled the 80-year-old company to significantly reduce the cost of running its data center in Minneapolis. Our cloud journey continues to mature,” says Vaughan, who decided to modernize 75% of MoneyGram’s microservices in Kubernetes but not all applications out of the gate.

Retail 246

Retail Microservices Analytics Fintech 246

OTS Solutions

JUNE 9, 2023

Key features of Ruby on Rails Some of the key features of Ruby on Rails include its Model-View-Controller (MVC) architecture, which separates the application logic from the user interface, making it easier to manage complex applications. Key features of Node.js Another feature that sets Node.js No-code/low-code frameworks.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

Key features of Ruby on Rails Some of the key features of Ruby on Rails include its Model-View-Controller (MVC) architecture, which separates the application logic from the user interface, making it easier to manage complex applications. Key features of Node.js Another feature that sets Node.js No-code/low-code frameworks.

Enterprise 130

Enterprise Applications Development Scalability 130

Modus Create

MAY 15, 2023

When serverless architecture became all the rage a few years ago, we wondered whether it was just marketing hype. Was serverless really cloud 2.0 Serverless architecture’s popularity has risen over the past 5 years. So here are five questions you should ask before adopting the serverless architecture: 1.

Serverless 98

Serverless Lambda Architecture AWS 98

Perficient

DECEMBER 7, 2023

Step 1: Assess Your Data Infrastructure Before diving into Headless BI, it’s crucial to understand your current data infrastructure. These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker.

How To 52

How To Scalability Analytics Google Cloud 52

CIO

SEPTEMBER 2, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Cloudera

SEPTEMBER 30, 2022

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. New use cases: event-driven, batch, and microservices.

Serverless 77

Serverless Microservices Lambda IoT 77

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 ? Ramp up more teams after sequencing the apps that will be modernized from an existing services architecture ? Auto-scaling microservices clusters to drive higher utilization ? Architecture ?

Architecture 40

Architecture Weak Development Team SDLC Microservices 40

Linux Academy

JUNE 25, 2019

The tool has become a favorite choice for managing IT infrastructure at scale. Serverless has been gaining momentum as cloud technology continues to become more widespread. Google Cloud Concepts. This course is for the true Google Cloud Platform beginner. What is the cloud or Google Cloud?

Linux 60

Linux Course Cloud Google Cloud 60

O'Reilly Media - Ideas

JUNE 4, 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. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. Introducing Infrastructure as Code with Terraform , June 20.

Course 65

Course Training Artificial Inteligence Software Review 65

Trigent

MARCH 7, 2023

But it is still a new technology, and emerging and developed economies are still trying to establish the infrastructure and ecosystem necessary for these companies to operate online. Depending on the system architecture, searching for and fixing errors takes a few minutes to an hour. Cloud infrastructure can fail for many reasons.

Engineering 52

Engineering Testing Open Source Infrastructure 52

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. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. Introducing Infrastructure as Code with Terraform , June 20.

Course 49

Course Training Artificial Inteligence Software Review 49

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 104

Linux Course AWS Google Cloud 104

Prisma Clud

JUNE 4, 2024

Explore the potential of Service Extensions to strengthen your API security layer and protect web applications across any cloud-native architecture, public or private. New Service Extensions Release Google Cloud has recently released Service Extensions for their widely utilized Load Balancing solution.

Google Cloud 59

Google Cloud Load Balancer Cloud Architecture 59

O'Reilly Media - Ideas

JANUARY 2, 2019

Developing Incremental Architecture , February 11-12. Microservice Fundamentals , January 10. Microservices Architecture and Design , January 16-17. Google Cloud Platform (GCP) for AWS Professionals , January 18. Domain-Driven Design and Event-Driven Microservices , January 22-23. Mastering C# 8.0

Course 57

Course Artificial Inteligence Training Blockchain 57

ParkMyCloud

MAY 7, 2019

Curious why serverless is so popular – and why it won’t replace traditional servers in the cloud? In the current cloud infrastructure, top service providers are dedicating a great deal of effort to expand on this architecture as a new approach to a cloud solution that focuses on applications rather than infrastructure.

Serverless 58

Serverless Lambda Google Cloud Azure 58

O'Reilly Media - Ideas

DECEMBER 5, 2018

Developing Incremental Architecture , February 11-12. Hands-On Infrastructure as Code , December 11. Microservices Architecture and Design , January 16-17. Google Cloud Platform (GCP) for AWS Professionals , January 18. Domain-Driven Design and Event-Driven Microservices , January 22-23.

Course 103

Course Artificial Inteligence Training Blockchain 103

Openxcell

NOVEMBER 27, 2023

What is a Cloud Migration? 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.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Linux Academy

JANUARY 26, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. In this course, you’ll learn about the basics of Prometheus, which includes its architecture and components, such as exporters, client libraries, and alerting. Deploying a Microservice Application to Kubernetes.

Course 60

Course Training DevOps Microservices 60

ParkMyCloud

MARCH 5, 2019

Lyft isn’t the first startup to generate attention from its massive public cloud bills – Snap and Spotify ’s Google Cloud bills are just two other examples. Microservices Architecture. Things Lyft Needs to Do to Keep their Infrastructure Optimized. Continuous Evaluation of Microservices.

AWS 44

AWS Cloud Microservices Case Study 44

Daniel Bryant

MARCH 27, 2019

We’ve added sample Terraform code to the Ambassador Pro Reference Architecture GitHub repo which enables the creation of a multi-platform “sandbox” infrastructure on Google Cloud Platform. If you have network access to the endpoint, then Ambassador can route to it.

Load Balancer 40

Load Balancer Google Cloud Data Center Firewall 40

Daniel Bryant

MARCH 13, 2019

We’ve added sample Terraform code to the Ambassador Pro Reference Architecture GitHub repo which enables the creation of a multi-platform “sandbox” infrastructure on Google Cloud Platform. If you have network access to the endpoint, then Ambassador can route to it.

Data Center 40

Data Center Load Balancer Google Cloud Data 40

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.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

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

OpenCredo

FEBRUARY 11, 2022

Serverless computing, or functions-as-a-service, has picked up a lot of attention and speed due to its cost-effective pay-as-you-go price offering, multi-language/runtime support, as well as its easy learning curve without any need to provide the infrastructure layer. Serverless functions focus on building functions as microservices.

Serverless 52

Serverless Testing Software Review Lambda 52

Linux Academy

APRIL 30, 2019

This course covers the basics of Prometheus, which includes its architecture and components, such as exporters, client libraries, and alerting. 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.

Linux 113

Linux AWS Big Data Course 113

Kentik

NOVEMBER 7, 2018

The Need for Visibility in the Cloud. The cloud is science, not magic. By now, we should all appreciate that cloud providers take away the huge overhead of building, maintaining, and upgrading physical infrastructure, and allow organizations to better focus on their own core competencies. Google Cloud interconnects, ?

Cloud 53

Cloud Azure AWS Google Cloud 53

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. You can reduce risk by addressing these eight common cloud security vulnerabilities and misconfigurations.

Applications 52

Applications Cloud Software Review Systems Review 52

Linux Academy

APRIL 29, 2019

This course covers the basics of Prometheus, which includes its architecture and components, such as exporters, client libraries, and alerting. 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.

Linux 60

Linux AWS Big Data Course 60

CloudScaling

JULY 18, 2017

None of these services are strictly part of Infrastructure-as-a-Service (IaaS). It could be used by infrastructure operators, individuals, or even business folks. Architectural model. Microservices / composable. If we were to map out Google Cloud Platform and Microsoft Azure you would see something very similar.

Open Source 96

Open Source AWS Cloud DevOps 96

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

OTS Solutions

SEPTEMBER 5, 2023

Microservices Microservices have emerged as a powerful approach in the field of DevOps, especially in the cloud environment. By breaking down complex applications into smaller, independent components, microservices allow for better scalability, flexibility, and fault tolerance.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

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

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

Capgemini

FEBRUARY 3, 2023

‘CAPGEMINI EARTHLINGS ECOPRENEUR’ PLATFORM EMPOWERs EMPLOYEES TOWARDS REACHING NET ZERO GOALS- POWERED BY GOOGLE CLOUD Tamalika Chakraborty/ Shoubhik Ghosh/ Debasish Rakshit 3 Feb 2023 Facebook Twitter Linkedin Capgemini is committed to be carbon neutral for its own operations and be a net zero business by 2030.

Google Cloud 52

Google Cloud .Net KPI Cloud 52

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52