#OpenShift Fundamentals Course
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daintilyultimateslayer · 15 days ago
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Best Red Hat courses online in Bangalore
Course InfoReviews
About Course
This course provides a comprehensive introduction to container technologies and the Red Hat OpenShift Container Platform. Designed for IT professionals and developers, it focuses on building, deploying, and managing containerized applications using industry-standard tools like Podman and Kubernetes. By the end of this course, you'll gain hands-on experience in deploying applications on OpenShift and managing their lifecycle.
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What I will learn?
Build and manage containerized applications
Understand container and pod orchestration
Deploy and manage workloads in OpenShift
Course Curriculum
Module 1: Introduction to OpenShift and Containers
Module 2: Managing Applications in OpenShift
Module 3: Introduction to Kubernetes Concepts
Module 4: Deploying and Scaling Applications
Module 5: Troubleshooting Basics
OpenShift DO180 (Red Hat OpenShift I: Containers & Kubernetes) Online Exam & Certification
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Founded in 2004, COSSINDIA (Prodevans wing) is an ISO 9001:2008 certified a global IT training and company. Created with vision to offer high quality training services to individuals and the corporate, in the field of ‘IT Infrastructure Management’, we scaled new heights with every passing year.
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hawkstack · 16 days ago
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Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation (DO370)
In today's enterprise IT landscape, the shift toward containerized applications and microservices has accelerated the need for robust, scalable, and persistent storage solutions. Red Hat OpenShift Data Foundation (ODF), formerly known as OpenShift Container Storage, emerges as a powerful solution that addresses these modern storage challenges in Kubernetes environments.
What Is OpenShift Data Foundation?
Red Hat OpenShift Data Foundation is an integrated software-defined storage solution that provides scalable, resilient, and unified storage for containers. Built on Ceph and powered by Rook, ODF seamlessly integrates with OpenShift to deliver persistent storage, data protection, and multi-cloud capabilities.
Whether you're dealing with traditional workloads or cloud-native applications, ODF ensures that your data is always available, protected, and accessible across your hybrid cloud environment.
Why Storage Matters in Kubernetes
While Kubernetes offers robust tools for managing containerized applications, its native storage capabilities are limited. For production-grade deployments, enterprises need features like:
Persistent volumes for stateful applications
High availability and fault tolerance
Backup and disaster recovery
Data encryption and security
Monitoring and performance tuning
This is where Red Hat OpenShift Data Foundation shines — filling the gaps and elevating Kubernetes into a true enterprise-ready platform.
About DO370: Red Hat's Official Training
The DO370 – Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation course is designed to equip IT professionals with the skills needed to deploy and manage storage for containerized applications in OpenShift.
Key Topics Covered:
Introduction to software-defined storage and Ceph fundamentals
Deploying and configuring ODF on OpenShift clusters
Managing persistent volumes and storage classes
Setting up replication, data resiliency, and disaster recovery
Monitoring, troubleshooting, and tuning storage performance
Securing data with encryption and access controls
Who Should Enroll?
This course is ideal for:
System administrators and storage administrators
DevOps engineers and platform engineers
Architects managing OpenShift at scale
Professionals looking to become Red Hat Certified Specialists
Real-World Benefits
By integrating ODF with OpenShift, organizations gain:
Unified storage for containers and VMs
Hybrid cloud portability with S3-compatible object storage
Simplified operations using Kubernetes-native tools
Enhanced security and compliance with end-to-end encryption
Lower TCO by eliminating the need for external storage solutions
Certification Path
Completing DO370 is a step toward becoming a Red Hat Certified Specialist in OpenShift Data Foundation — a valuable credential for IT professionals working in cloud-native environments.
Final Thoughts
As Kubernetes continues to redefine modern IT infrastructure, storage can no longer be an afterthought. Red Hat OpenShift Data Foundation ensures your data architecture evolves with your application stack — secure, scalable, and production-ready.
If you're looking to future-proof your OpenShift deployments with enterprise-grade storage, DO370 is the training you need.
For more details www.hawkstack.com 
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hawskstack · 2 months ago
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Python Programming with Red Hat (AD141): Unlocking Enterprise Automation
In today’s world of automation and hybrid cloud infrastructure, Python stands as a leading language for developing scalable and flexible solutions. Red Hat, a pioneer in enterprise open source solutions, offers a specialized training course — Python Programming with Red Hat (AD141) — tailored to equip professionals with the skills needed to build powerful, maintainable, and enterprise-grade Python applications.
What is AD141?
AD141: Python Programming with Red Hat is a hands-on training course that introduces students to the fundamentals of Python programming in a Red Hat Enterprise Linux (RHEL) environment. Designed for system administrators, developers, and automation engineers, this course focuses not just on syntax but also on problem-solving using Python for real-world enterprise tasks.
Key Features of the Course:
Instructor-led or self-paced learning
Lab-based exercises for practical understanding
Focus on Python 3, the current industry standard
Covers file manipulation, data structures, error handling, and automation scripting
Tailored for Red Hat Enterprise Linux environments
Why Choose Python with Red Hat?
Python's simplicity, versatility, and extensive libraries make it a top choice for automation, data processing, and application development. When combined with Red Hat’s robust and secure Linux platform, the pairing becomes a powerhouse for:
Automation scripting
Configuration management
System monitoring and logging
Cloud-native development
Red Hat’s AD141 course ensures that you not only learn Python but also how to integrate it effectively into enterprise-level tasks using Red Hat technologies.
What You’ll Learn in AD141
Here’s a breakdown of the primary learning objectives of the AD141 course:
1. Core Python Concepts
Variables, data types, and expressions
Control structures (loops and conditionals)
Functions and modular programming
2. Working with Data
Lists, dictionaries, sets, and tuples
File handling and regular expressions
Error and exception handling
3. Object-Oriented Programming (OOP)
Classes and objects
Inheritance and encapsulation
Best practices for maintainable code
4. System Integration
Interacting with the Linux file system
Running and managing system processes with Python
Using Python for system automation tasks
5. Real-World Projects
Scripting backups and log file analysis
Automating system updates
Interfacing with web APIs
Who Should Take AD141?
This course is ideal for:
System Administrators seeking to automate routine tasks
Developers looking to write Python scripts for Linux environments
IT professionals aiming to integrate Python into Ansible or OpenShift workflows
DevOps engineers working on CI/CD pipelines and infrastructure as code
Course Prerequisites
While AD141 is an introductory course, it assumes a working knowledge of:
Basic Linux command line usage
Red Hat Enterprise Linux (RHEL) systems
Fundamental programming logic (though not necessarily Python)
If you're new to RHEL, consider taking Red Hat System Administration I (RH124) beforehand.
Certification and Next Steps
Although AD141 doesn’t lead directly to a certification, it lays the groundwork for more advanced Red Hat courses like:
DO407: Automation with Ansible
DO288: Red Hat OpenShift Development
EX294: Red Hat Certified Engineer (RHCE) exam preparation
Completing AD141 gives learners the confidence to automate real-world tasks and sets the stage for full-stack or DevOps roles.
Final Thoughts
Python Programming with Red Hat (AD141) is more than just a coding course — it's a gateway to becoming an automation expert in enterprise Linux environments. Whether you're managing servers, writing scripts, or building automation pipelines, the skills from AD141 are practical, scalable, and highly relevant.
Ready to elevate your automation skills?
For more info, Kindly follow: Hawkstack Technologies
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govindhtech · 11 months ago
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AMD EPYC Processors Widely Supported By Red Hat OpenShift
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EPYC processors
AMD fundamentally altered the rules when it returned to the server market in 2017 with the EPYC chip. Record-breaking performance, robust ecosystem support, and platforms tailored for contemporary workflows allowed EPYC to seize market share fast. AMD EPYC began the year with a meagre 2% of the market, but according to estimates, it now commands more than 30% of the market. All of the main OEMs, including Dell, HPE, Cisco, Lenovo, and Supermicro, offer EPYC CPUs on a variety of platforms.
Best EPYC Processor
Given AMD EPYC’s extensive presence in the public cloud and enterprise server markets, along with its numerous performance and efficiency world records, it is evident that EPYC processors is more than capable of supporting Red Hat OpenShift, the container orchestration platform. EPYC is the finest option for enabling application modernization since it forms the basis of contemporary enterprise architecture and state-of-the-art cloud functionalities. Making EPYC processors argument and demonstrating why AMD EPYC should be taken into consideration for an OpenShift implementation at Red Hat Summit was a compelling opportunity.
Gaining market share while delivering top-notch results
Over the course of four generations, EPYC’s performance has raised the standard. The fastest data centre  CPU in the world is the AMD EPYC 4th Generation. For general purpose applications (SP5-175A), the 128-core EPYC provides 73% better performance at 1.53 times the performance per projected system watt than the 64-core Intel Xeon Platinum 8592+.
In addition, EPYC provides the leadership inference performance needed to manage the increasing ubiquity of  AI. For example, utilising the industry standard end-to-end AI benchmark TPCx-AI SF30, an Intel Xeon Platinum 8592+ (SP5-051A) server has almost 1.5 times the aggregate throughput compared to an AMD EPYC 9654 powered server.
A comprehensive array of data centres and cloud presence
You may be certain that the infrastructure you’re now employing is either AMD-ready or currently operates on AMD while you work to maximise the performance of your applications.
Red Hat OpenShift-certified servers are the best-selling and most suitable for the OpenShift market among all the main providers. Take a time to look through the Red Hat partner catalogue, if you’re intrigued, to see just how many AMD-powered choices are compatible with OpenShift.
On the cloud front, OpenShift certified AMD-powered instances are available on AWS and Microsoft Azure. For instance, the EPYC-powered EC2 instances on AWS are T3a, C5a, C5ad, C6a, M5a, M5ad, M6a, M7a, R5a, and R6a.
Supplying the energy for future tasks
The benefit AMD’s rising prominence in the server market offers enterprises is the assurance that their EPYC infrastructure will perform optimally whether workloads are executed on-site or in the cloud. This is made even more clear by the fact that an increasing number of businesses are looking to jump to the cloud when performance counts, such during Black Friday sales in the retail industry.
Modern applications increasingly incorporate or produce  AI elements for rich user benefits in addition to native scalability flexibility. Another benefit of using AMD EPYC CPUs is their shown ability to provide quick large language model inference responsiveness. A crucial factor in any AI implementation is the latency of LLM inference. At Red Hat Summit, AMD seized the chance to demonstrate exactly that.
AMD performed Llama 2-7B-Chat-HF at bf16 precision​over Red Hat OpenShift on Red Hat Enterprise Linux CoreOS in order to showcase the performance of the 4th Gen AMD EPYC. AMD showcased the potential of EPYC on several distinct use cases, one of which was a chatbot for customer service. The Time to First Token in this instance was 219 milliseconds, easily satisfying the patience of a human user who probably anticipates a response in under a second.
The maximum performance needed by the majority of English readers is approximately 6.5 tokens per second, or 5 English words per second, but the throughput of tokens was 8 tokens per second. The model’s performance can readily produce words quicker than a fast reader can usually keep up, as evidenced by the 127 millisecond latency per token.
Meeting developers, partners, and customers at conferences like Red Hat Summit is always a pleasure, as is getting to hear directly from customers. AMD has worked hard to demonstrate that it provides infrastructure that is more than competitive for the development and deployment of contemporary applications. EPYC processors, EPYC-based commercial servers, and the Red Hat Enterprise Linux and OpenShift ecosystem surrounding them are reliable resources for OpenShift developers.
It was wonderful to interact with the community at the Summit, and it’s always positive to highlight AMD’s partnerships with industry titans like Red Hat. EPYC processors will return this autumn with an update, coinciding with Kubecon.
Red Hat OpenShift’s extensive use of AMD EPYC-based servers is evidence of their potent blend of affordability, effectiveness, and performance. As technology advances, they might expect a number of fascinating breakthroughs in this field:
Improved Efficiency and Performance
EPYC processors of the upcoming generation
AMD is renowned for its quick innovation cycle. It’s expected that upcoming EPYC processors would offer even more cores, faster clock rates, and cutting-edge capabilities like  AI acceleration. Better performance will result from these developments for demanding OpenShift workloads.
Better hardware-software integration
AMD, Red Hat, and hardware partners working together more closely will produce more refined optimizations that will maximize the potential of EPYC-based systems for OpenShift. This entails optimizing virtualization capabilities, I/O performance, and memory subsystems.
Increased Support for Workloads
Acceleration of AI and machine learning
EPYC-based servers equipped with dedicated AI accelerators will proliferate as AI and ML become more widespread. As a result, OpenShift environments will be better equipped to manage challenging AI workloads.
Data analytics and high-performance computing (HPC)
EPYC’s robust performance profile makes it appropriate for these types of applications. Platforms that are tailored for these workloads should be available soon, allowing for OpenShift simulations and sophisticated analytics.
Integration of Edge Computing and IoT
Reduced power consumption
EPYC processors of the future might concentrate on power efficiency, which would make them perfect for edge computing situations where power limitations are an issue. By doing this, OpenShift deployments can be made closer to data sources, which will lower latency and boost responsiveness.
IoT device management
EPYC-based servers have the potential to function as central hubs for the management and processing of data from Internet of Things devices. On these servers, OpenShift can offer a stable foundation for creating and implementing IoT applications.
Environments with Hybrid and Multiple Clouds
Uniform performance across clouds
major cloud providers will probably offer EPYC-based servers, which will guarantee uniform performance for hybrid and multi-cloud OpenShift setups.
Cloud-native apps that are optimised
EPYC-based platforms are designed to run cloud-native applications effectively by utilising microservices and containerisation.
Read more on govindhtech.com
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qcs01 · 1 year ago
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Best Practices for Red Hat OpenShift and Why QCS DC Labs Training is Key
Introduction: In today's fast-paced digital landscape, businesses are increasingly turning to containerization to streamline their development and deployment processes. Red Hat OpenShift has emerged as a leading platform for managing containerized applications, offering a robust set of tools and features for orchestrating, scaling, and securing containerized workloads. However, to truly leverage the power of OpenShift and ensure optimal performance, it's essential to adhere to best practices. In this blog post, we'll explore some of the key best practices for Red Hat OpenShift and discuss why choosing QCS DC Labs for training can be instrumental in mastering this powerful platform.
Best Practices for Red Hat OpenShift:
Proper Resource Allocation: One of the fundamental principles of optimizing OpenShift deployments is to ensure proper resource allocation. This involves accurately estimating the resource requirements of your applications and provisioning the appropriate amount of CPU, memory, and storage resources to avoid under-provisioning or over-provisioning.
Utilizing Persistent Storage: In many cases, applications deployed on OpenShift require access to persistent storage for storing data. It's essential to leverage OpenShift's persistent volume framework to provision and manage persistent storage resources efficiently, ensuring data durability and availability.
Implementing Security Controls: Security should be a top priority when deploying applications on OpenShift. Utilize OpenShift's built-in security features such as Role-Based Access Control (RBAC), Pod Security Policies (PSP), Network Policies, and Image Scanning to enforce least privilege access, restrict network traffic, and ensure the integrity of container images.
Monitoring and Logging: Effective monitoring and logging are essential for maintaining the health and performance of applications running on OpenShift. Configure monitoring tools like Prometheus and Grafana to collect and visualize metrics, set up centralized logging with tools like Elasticsearch and Fluentd to capture and analyze logs, and implement alerting mechanisms to promptly respond to issues.
Implementing CI/CD Pipelines: Embrace Continuous Integration and Continuous Delivery (CI/CD) practices to automate the deployment pipeline and streamline the release process. Utilize tools like Jenkins, GitLab CI, or Tekton to create CI/CD pipelines that automate building, testing, and deploying applications on OpenShift.
Why Choose QCS DC Labs for Training: QCS DC Labs stands out as a premier training provider for Red Hat OpenShift, offering comprehensive courses tailored to meet the needs of both beginners and experienced professionals. Here's why choosing QCS DC Labs for training is essential:
Expert Instructors: QCS DC Labs instructors are industry experts with extensive experience in deploying and managing containerized applications on OpenShift. They provide practical insights, real-world examples, and hands-on guidance to help participants master the intricacies of the platform.
Hands-on Labs: QCS DC Labs courses feature hands-on lab exercises that allow participants to apply theoretical concepts in a simulated environment. These labs provide invaluable hands-on experience, enabling participants to gain confidence and proficiency in working with OpenShift.
Comprehensive Curriculum: QCS DC Labs offers a comprehensive curriculum covering all aspects of Red Hat OpenShift, from basic concepts to advanced topics. Participants gain a deep understanding of OpenShift's architecture, features, best practices, and real-world use cases through structured lessons and practical exercises.
Flexibility and Convenience: QCS DC Labs offers flexible training options, including online, instructor-led courses, self-paced learning modules, and customized training programs tailored to meet specific organizational needs. Participants can choose the format that best suits their schedule and learning preferences.
Conclusion: Red Hat OpenShift offers a powerful platform for deploying and managing containerized applications, but maximizing its potential requires adherence to best practices. By following best practices such as proper resource allocation, security controls, monitoring, and CI/CD implementation, organizations can ensure the efficiency, reliability, and security of their OpenShift deployments. Additionally, choosing QCS DC Labs for training provides participants with the knowledge, skills, and hands-on experience needed to become proficient in deploying and managing applications on Red Hat OpenShift.
For more details click www.qcsdclabs.com
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shris890 · 1 year ago
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c0untzer0 · 3 years ago
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There are some days...
...even masturbation can't fix. Today was indeed one of those, for two months you work hard on some more and more complicated automation system (GitLab CI/CD Pipelines and management of Helm Charts for OKD (OpenShift) if you are curious enough to read that mumbo jumbo) and you jump out of your bed during the night before the day you are about to show it to the people – realizing there is an implicit design flaw and that fucking carousel won't work as expected.
I remained calm and did not lower my vocabulary to some degree of profanity.
I rewrote my LinkedIN "about" section instead. Just in case.
[PARENTAL ADVISORY]
{explicit:lyrics}
“People also talk about their achievements or previous job experiences here.”
Hello, my name is Radim and these are my adventures.
There is certain character in one of the notorious children’s book. He’s a trustworthy companion to the main protagonist of the book: who is an ant named “Ant”. Our hero goes by name “Bag the bug” and it’s a well known fact that he:
1) Knows very little about a rather lots of things; and
2) Was born and raised in the cinema theatre
Even though he is depicted as a  basically moron of intergalactic proportions, who mostly only boasts of his unbelievable achievements in any given moment, the many adventures and his antsy friend has to deal with would not be possible if he simply wasn't there. The morale of this story is simple: the world needs its clowns.
And this is basically a nicely fitting description of who I am.
But wait, before you go, let me try to at least humour you, shall we?
All my life I’ve been working for one  telecommunication company, starting as the guy in the boroughs of 24/7 interwebz hotline, DPN, ATM, IP and all the things we thought that were here to stay. Over the course of 20+ years I slowly converged from trying to understand console output of the “show ospf” command that does not make sense at all but you simply do not question the Cisco as you are well aware that in the deep space where only Huaweii and Alcatel roams free nobody would even dare to hear your scream. At some point it became abduntantly clear that I was only brought here to suffer – but along came a Perl. And pursuing the knowledge of how things work became my core obsession. Because if “things” work somehow, they can definitely be forced to work better. Harder. I switched to Python before it was cool.
When you need something done, you often have to do it yourself and mostly the only thing you need to do is: to push (your) boundaries hard enough. Knowing the fundamentals of your surrounding environment (i.e.: the people you work with and how things work inside the oversized corporate zaibatsu (observing which is one of my hobby guilty  pleasures nevertheless) for sure helps a lot.
So I try to deliver any kind of an evolution of how we do things. God bless the “agile” project development movement. Huge fan. And it has estimated 60% failure rate as a feature. Some you win, some you lose.
My failure highlights:
— IPTV reporting malfunction, that caused a weeks(!) long state of no-data-delivered-at-all scenario.
— Decommissioning of an internal geo-everything application; utterly unintentional, till the very end. I cry to my atlas every other night.
— CI/CD and VCS mono-repository composition for our internal development.
Even now there is a blood running down from my eyes when I'm trying to read these lines.
Light side of the Moon:
Every of the following wouldn't be possible without our team of beautiful and dedicated people. Martin, Michal, Tomáš and Vendy namely. And my arch–nemesis Aleš deserves credit also.
— Implementation of various new technologies into the realtime data processing inside the ever conservative telco company (being conservative is not a BAD thing, but then again). Logstash, ElasticSearch, Apache NiFi, GitLab on premise, InfluxDB & Grafana, Ansible… we made all these a real thing.
— Thorough delivery IPTV peoplemeter data to a Big Data storages, written mostly from scratch by another of my colleagues. Introducing a by-product of near-realtime Grafana dashboards for broader audience; this was a years later followed by a complete redeployment in form of a Docker microservices utilizing a non-K8s mesh network. The downside of this seemingly good-doing is mentioned above.
— Production deployment of realtime data processing framework (Python) and Docker runtime deployment.
— Delivery of the Apache Kafka messaging bus, built on top of decommissioned hardware, as the punk spirit of distributed software orders us to do.
— Even if it may not seem that way, I do not find any pleasure in achievement taxonomies, but the order was crystal clear: “People also talk about their achievements or previous job experiences here.” Anyway, looking back I have to say I had the time of my life.
Where do you see yourself in five years?
I'm glad you asked. I like the automation as a way of being able to survive our increasingly complicated world. Docker was a huge leap forward indeed, but you cannot write the same Compose files over and over: that is if you're not in a need of a mental illness. I kind of enjoy listening to music, so orchestration as a school of doing magic it is.
I really would like to see the dawn of the 5G mobile network first hand – if not for the thrills it will definitely brings us, then from the reason I believe it's the closest you may ever be in real life to the vanilla example of “The Condom Paradox”. Fear not, if you are not already well versed in this paradox, I'll do you a favor and spare your already bruised mind.
That’s pushing the boundaries just enough for me. I also sort of have a soft spot for languages (which may or may be not obvious at this point) and even softer for nice things, so for some 10+ years I helped with production of week’s long second oldest festival in Czech republic, that revolves around Czech language as a tool of  art. That inevitably ended by founding and typesetting a monthly magazine that publishes unpublished translations of foreign books and stuff. All that in flesh, available at your closest bookstore (probably even as we speak). Did my movies, had my translating essays to a woman’s magazine (the one with a shiny cover) episodes. And we are doing an enigmatic site-specific installations with a group of definitely insane people; it's the kind that takes more time to assembly than stays on a display to a kind crowds. That is done yearly and there definitely is a pattern emerging. Thank you for your time, yours truly, Bag the Bug.
- - - - - - - - - - - - - - - - - -
All the misspelled words and badly used idioms are to be fixed in a series of  bugfix versions of this… how would I call this stream of words you just experienced...? Probably a practical example of: do not even try to write your own bio but simply use any Power Point template available instead! Up to you. Over and out.
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Red Hat Quarkus | Red Hat Application Development | DO283
Course Description
Develop microservice-based applications in Java EE with MicroProfile and OpenShift
Building on Red Hat Application Development I: Programming in Java EE (AD183), the introductory course for Java EE application development, Red Hat Application Development II: Implementing Microservice Architectures (DO283) emphasizes learning architectural principles and implementing microservices in Java EE, primarily based on MicroProfile with WildFly Swarm and OpenShift.
You will build on Java EE application development fundamentals and focus on how to develop, monitor, test, and deploy modern microservices applications. Many enterprises are looking for a way to take advantage of cloud-native architectures, but many do not know the best way to go about it. These enterprises have monolithic applications written in Java Enterprise Edition (JEE).
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Objectives
Deploy and monitor microservice-based applications.
Implement a microservice with MicroProfile.
Implement unit and integration tests for microservices.
Use the config specification to inject data into a microservice.
Create a health check for a microservice.
Implement fault tolerance in a microservice.
Secure a microservice using the JSON Web Token (JWT) specification.
 Audience
This Red Hat Quarkus course is designed for Java developers.
 Prerequisites
Attend Introduction to OpenShift Applications (DO101) or demonstrate equivalent experience
Attend Red Hat Application Development I: Programming in Java EE (AD183) or demonstrate equivalent experience
Be proficient in using an integrated development environment such as Red Hat® Developer Studio or Eclipse
Experience with Maven is recommended, but not required
 Content
Describe microservice architectures 
Deploy microservice-based applications 
Implement a microservice with MicroProfile 
Test microservices 
Inject configuration data into a microservice 
Create application health checks 
Implement fault tolerance 
Develop an API gateway 
Secure microservices with JWT 
Monitor microservices
 To know more about Corporate Training courses, visit Global Knowledge Technologies.
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milescpareview · 4 years ago
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The Popularity Of Cloud Computing, As Reported By Google Trends
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Source: Researchgate - Popularity-of-Cloud-Computing-as-reported-by-Google-trends
If you utilize a computer or mobile device reception or at work, you almost certainly use some sort of cloud computing a day. It might be some popular applications like Gmail, Dropbox, Google spreadsheets, or platforms like Salesforce and familiar others. According to a recent survey, 92% of organizations use the cloud today while others decide to use it more often in the coming years.
The term ‘cloud computing’ also refers to the technology that creates the cloud work. This includes advanced IT like server systems, OS software, networking, and others core competent technologies to make it more valuable to user experience.
The industry says Y - ‘AAS’!
In computing, we call it IaaS (Infrastructure-as-a-Service), PaaS (Platform-as-a-Service), and SaaS (Software-as-a-Service) the core models on which the cloud platform is built. Many are confused with their applications in the industries but it has an enormous impact on the cloud applications and their behavior. Despite the catch, the industry finds it difficult to differentiate the trio with its functionality. To have a better understanding of each we are going to brief on each.
SaaS (Software-as-a-Service)
The Global SaaS market occupies a hefty share of 99 bn USD and is estimated to grow at the rate of 11% CGAR, during the forecast period 2021-2025. The hype around SaaS is solely due to its diverse usage and how frequently it’s used as a definitive cloud tool.
SaaS—also referred to as cloud-based software or cloud applications—is application software that’s hosted within the cloud which you access and use via an internet browser, a fanatical desktop client, or an API that integrates together with your desktop or mobile OS. In most cases, SaaS users pay a monthly or annual subscription fee; some may offer ‘pay-as-you-go’ pricing that supported your actual usage.
PaaS (Platform-as-a-Service)
Today, PaaS is usually built around containers, a virtualized compute model one step far away from virtual servers. Containers virtualize the OS, enabling developers to package the appliance with only the OS services it must run on any platform, without modification, and without need for middle-ware.
With PaaS, the cloud provider hosts everything—servers, networks, storage, operating system software, middleware, databases—at their data center. Developers simply pick from a menu to ‘spin up’ servers and environments they need to run, build, test, deploy, maintain, update, and scale applications.
Red Hat OpenShift is a popular PaaS built around Docker containers and Kubernetes, an open-source container orchestration solution that automates deployment, scaling, load balancing, and more for container-based applications.
IaaS (Infrastructure-as-a-Service)
Lets tally the statements with some statistics for backup. As per the global forecast reports, the IaaS market will grow by 136.21 bn USD during 2021-2025, further, the growth monitor indicates it to be staggering at a CAGR of 27% during the forecast period.
IaaS provides on-demand access to fundamental computing resources–physical and virtual servers, networking, and storage—over the internet on a pay-as-you-go basis. IaaS enables end-users to scale and shrink resources on an as-needed basis, reducing the need for high, up-front capital expenditures or unnecessary on-premises or ‘owned’ infrastructure and for overbuying resources to accommodate periodic spikes in usage.
In contrast to SaaS and PaaS (and even newer PaaS computing models such as containers and serverless), IaaS provides the users with the lowest-level control of computing resources in the cloud.
IaaS was the most popular cloud computing model when it emerged in the early 2010s. While it remains the cloud model for many types of workloads, the use of SaaS and PaaS is growing at a much faster rate.
Why miss out on FaaS?
Function-as-a-Service is often confused with serverless computing when, in fact, it's a subset of serverless. FaaS allows developers to execute portions of application code (called functions) in response to specific events. Everything besides the code—physical hardware, virtual machine operating system, and web server software management—is provisioned automatically by the cloud service provider in real-time as the code executes and is spun back down once the execution completes. Billing starts when execution starts and stops when execution stops.
What makes the industry lean on to a cloud privilege?
Virtualization enables cloud providers to make maximum use of their data center resources. Not surprisingly, many corporations have adopted the cloud delivery model for their on-premises infrastructure so they can realize maximum utilization and cost savings vs. traditional IT infrastructure and offer the same self-service and agility to their end-users.
Cloud computing is on-demand access, via the internet, to computing resources—applications, servers (physical servers and virtual servers), data storage, development tools, networking capabilities, and more—hosted at a remote data center managed by a cloud services provider (or CSP). The CSP makes these resources available for a monthly subscription fee or bills them according to usage.
Compared to traditional on-premises IT, and depending on the cloud services you select, cloud computing helps do the following:
Lower IT costs: Cloud lets you offload some or most of the costs and effort of purchasing, installing, configuring, and managing your own on-premises infrastructure.
Improve agility and time-to-value: With the cloud, your organization can start using enterprise applications in minutes, instead of waiting weeks or months for IT to respond to a request, purchase and configure supporting hardware, and install the software. Cloud also lets you empower certain users—specifically developers and data scientists—to help themselves to software and support infrastructure.
Scale more easily and cost-effectively: Cloud provides elasticity—instead of purchasing excess capacity that sits unused during slow periods, you can scale capacity up and down in response to spikes and dips in traffic. You can also take advantage of your cloud provider’s global network to spread your applications closer to users around the world.
The cloud computing industry has taken a huge leap in the past year on its profound usage of cloud computing during the pandemic. According to global prediction, the market price for cloud computing will be sprung from 371.4 Billion USD in 2020 to 832.1 Billion USD by 2025 with an annual CAGR of 17.5% during the forecast period.
The predictions are welcoming more software developers to make the transition to cloud computing, more than ever. To taut, the demand market, IIT Roorkee – Wiley is offering post Graduate Certification in Cloud Computing & DevOps. It includes a foundation concept of virtualization, networking, and the cloud ecosystem and outlines their role in enabling cloud models.
It’s a 7 months course with the collective knowledge influence of industry experts who have carefully curated this unique program that builds skills to design and implement the complete workflow of cloud implementation. For this program Miles education is the official channel partner, please visit Miles Education- PG Certification in Cloud Computing & DevOps
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devopsengineer · 4 years ago
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Jenkins udemy
Jenkins udemy Jenkins udemy National news Jenkins udemy Jenkins Subjects Certification Level Ratings Duration Red Hat OpenShift With Jenkins DevOps For Beginners Development Jenkins Discount Offer Eduonix Take this online course to master Red Hat OpenShift with Jenkins from scratch. Enroll now to learn the fundamentals of Kubernetes and Docker with this beginners tutorial! Mastering Jenkins…
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jovialsheepbeard · 5 years ago
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OpenShift training classes from HKR  provide you in-depth knowledge on all the key features and fundamentals of OpenShift. The course introduces containers, Kubernetes, Red Hat OpenShift Container Platform, and builds core knowledge to manage containers with hands-on exercises. Through this training, you will work on real-time projects which are primarily inline with the OpenShift Certification Exam.
HKR Trainings provides the best and industry oriented openshift training to gain skills in order to build your professional career . Our course curriculum covers all the concepts to gain real-time proficiency in core essentials of openshift, openshift fundamentals,containers, Kubernetes, Red Hat OpenShift Container Platform, and builds core knowledge to manage containers, etc.Moreover with comprehensive training helps to gain expertise in this comprehensive field so as to accomplish your daily tasks for ease. Our expert trainers deliver the lecturers in a more practical way so as to gain realistic experience. Get the industry-oriented openshift training course from the certified mentors by joining HKR.
https://hkrtrainings.com/openshift-training
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hawkstack · 19 days ago
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Mastering OpenShift at Scale: Why DO380 is a Must for Cluster Admins
In today’s cloud-native world, container orchestration isn’t just a trend—it’s the backbone of enterprise IT. Red Hat OpenShift has become a platform of choice for building, deploying, and managing containerized applications at scale. But as your cluster grows in size and complexity, basic knowledge isn’t enough.
That’s where Red Hat OpenShift Administration III (DO380) comes into play.
🔍 What is DO380?
DO380 is an advanced training course designed for experienced OpenShift administrators who want to master the skills needed to manage large-scale OpenShift container platforms. Whether you're handling production clusters or multi-cluster environments, this course equips you with the automation, security, and scaling expertise essential for enterprise operations.
🧠 What You’ll Learn:
✅ Automate Day 2 operations using Ansible and OpenShift APIs ✅ Manage multi-tenant clusters with greater control and security ✅ Implement GitOps workflows for consistent configuration management ✅ Configure and monitor advanced networking features ✅ Scale OpenShift across hybrid cloud environments ✅ Troubleshoot effectively using cluster diagnostics and performance metrics
🎓 Who Should Take DO380?
This course is ideal for:
Red Hat Certified System Administrators (RHCSA) or RHCEs managing OpenShift
DevOps and Platform Engineers
Site Reliability Engineers (SREs)
Anyone responsible for enterprise-grade OpenShift operations
🛠️ Prerequisites
Before enrolling, you should be comfortable with:
Kubernetes concepts and OpenShift fundamentals
Administering OpenShift clusters (typically via DO180 and DO280)
💼 Real-World Impact
With DO380, you're not just learning commands—you’re gaining production-ready insights to:
Improve cluster reliability
Reduce downtime
Automate repetitive tasks
Increase team efficiency
It’s the difference between managing OpenShift and mastering it.
📢 Final Thoughts
In a world where downtime means lost revenue, having the skills to operate and scale OpenShift clusters effectively is non-negotiable. The DO380 course is a strategic investment in your career and your organization’s container strategy.
Ready to scale your OpenShift expertise? Explore DO380 and take your cluster management to the next level.
For more details www.hawkstack.com  
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un-enfant-immature · 6 years ago
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With the acquisition closed, IBM goes all in on Red Hat
IBM’s massive $34 billion acquisition of Red Hat closed a few weeks ago and today, the two companies are now announcing the first fruits of this process. For the most part, today’s announcement further IBM’s ambitions to bring its products to any public and private cloud. That was very much the reason why IBM acquired Red Hat in the first place, of course, so this doesn’t come as a major surprise, though most industry watchers probably didn’t expect this to happen this fast.
Specifically, IBM is announcing that it is bringing its software portfolio to Red Hat OpenShift, Red Hat’s Kubernetes-based container platform that is essentially available on any cloud that allows its customers to run Red Hat Enterprise Linux.
In total, IBM has already optimized more than 100 products for OpenShift and bundled them into what it calls “Cloud Paks.” There are currently five of these Paks: Cloud Pak for Data, Application, Integration, Automation and Multicloud Management. These technologies, which IBM’s customers can now run on AWS, Azure, Google Cloud Platform or IBM’s own cloud, among others, include DB2, WebSphere, API Connect, Watson Studio and Cognos Analytics.
“Red Hat is unlocking innovation with Linux-based technologies, including containers and Kubernetes, which have become the fundamental building blocks of hybrid cloud environments,” said Jim Whitehurst, president and CEO of Red Hat, in today’s announcement. “This open hybrid cloud foundation is what enables the vision of any app, anywhere, anytime. Combined with IBM’s strong industry expertise and supported by a vast ecosystem of passionate developers and partners, customers can create modern apps with the technologies of their choice and the flexibility to deploy in the best environment for the app – whether that is on-premises or across multiple public clouds.”
IBM argues that a lot of the early innovation on the cloud was about bringing modern, customer-facing applications to market, with a focus on basic cloud infrastructure. Now, however, enterprises are looking at how they can take their mission-critical applications to the cloud, too. For that, they want access to an open stack that works across clouds.
In addition, IBM also today announced the launch of a fully managed Red Hat OpenShift service on its own public cloud, as well as OpenShift on IBM Systems, including the IBM Z and LinuxONE mainframes, as well as the launch of its new Red Hat consulting and technology services.
With $34B Red Hat deal closed, IBM needs to execute now
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netsmp · 5 years ago
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codecraftshop · 5 years ago
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Create openshift online account to access openshift clusterOpenshift 4 is latest devops technology which can benefit the enterprise in a lot of ways. Build development and deployment can be automated using Openshift 4 platform. Features for autoscaling , microservices architecture and lot more features. So please like watch subscribe my channel for the latest videos. #openshift # openshift4 #containerization #cloud #online #container #kubernetes #docker #automation #redhatopenshift #openshifttutorial #openshiftonline red hat openshift 4 container platform, create openshift online account, how to deploy docker image in openshift, openshift online account access openshift cluster openshift 4 red hat openshift, red hat openshift container platform, redhat openshift 4 container platform, red hat openshift, Login to openshift cluster in different ways openshift 4 red hat openshift, what is openshift online, openshift 4, redhat openshift online, Introduction to openshift online cluster overview of openshift cluster red hat openshift https://www.youtube.com/channel/UCnIp4tLcBJ0XbtKbE2ITrwA?sub_confirmation=1&app=desktop About: 00:00 Create openshift online account to access openshift cluster | openshift online account How to create openshift online account to access openshift cluster | openshift4 | red hat openshift create openshift online account - Red Hat OpenShift 4 Container Platform: Download OpenShift 4 client how to create openshift online account to access openshift cluster | openshift4 | red hat openshift. Red Hat OpenShift is an open source container application platform based on the Kubernetes container orchestrator for enterprise application development and deployment In this course we will learn about creating an openshift online account to access openshift cluster for free where we can create build and deploy the projects over the cloud and to improve openshift4 fundamentals. Openshift/ Openshift4 a cloud based container to build deploy test our application on cloud. In the next videos we will explore Openshift4 in detail. https://www.facebook.com/codecraftshop/ https://t.me/codecraftshop/ Please do like and subscribe to my you tube channel "CODECRAFTSHOP" Follow us on facebook | instagram | twitter at @CODECRAFTSHOP . -~-~~-~~~-~~-~- Please watch: "Install hyperv on windows 10 - how to install, setup & enable hyper v on windows hyper-v" https://www.youtube.com/watch?v=KooTCqf07wk -~-~~-~~~-~~-~-
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rafi1228 · 5 years ago
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Get started with OpenShift quickly with lectures, demos, quizzes and hands-on coding exercises right in your browser
What you’ll learn
Deploy an Openshift Cluster
Deploy application on Openshift Cluster
Setup integration between Openshift and SCM
Create custom templates and catalog items in Openshift
Deploy Multiservices applications on Openshift
Requirements
Basic System Administration
Introduction to Containers (Not Mandatory as we cover this in this course)
Basics of Kubernetes (Not Mandatory as we cover this in this course)
Basics of Web Development – Simple Python web application
Description
Learn the fundamentals and basic concepts of OpenShift that you will need to build a simple OpenShift cluster and get started with deploying and managing Application.
Build a strong foundation in OpenShift and container orchestration with this tutorial for beginners.
Deploy OpenShift with Minishift
Understand Projects, Users
Understand Builds, Build Triggers, Image streams, Deployments
Understand Network, Services and Routes
Configure integration between OpenShift and GitLab SCM
Deploy a sample Multi-services application on OpenShift
A much required skill for any one in DevOps and Cloud Learning the fundamentals of OpenShift puts knowledge of a powerful PaaS offering at your fingertips. OpenShift is the next generation Application Hosting platform by Red Hat.
Content and Overview 
This course introduces OpenShift to an Absolute Beginner using really simple and easy to understand lectures. Lectures are followed by demos showing how to setup and get started with OpenShift. The coding exercises that accompany this course will help you practice OpenShift configuration files in YAML. You will be developing OpenShift Configuration Files for different use cases right in your browser. The coding exercises will validate your commands and Configuration Files and ensure you have written them correctly.
And finally we have assignments to put your skills to test. You will be given a challenge to solve using the skills you gained during this course. This is a great way to gain a real life project experience and work with the other students in the community to develop an OpenShift deployment and get feedback for your work. The assignment will push you to research and develop your own OpenShift Clusters.
Legal Notice:
Openshift and the OpenShift logo are trademarks or registered trademarks of Red Hat, Inc. in the United States and/or other countries. Re Hat, Inc. and other parties may also have trademark rights in other terms used herein. This course is not certified, accredited, affiliated with, nor endorsed by OpenShift or Red Hat, Inc.
Who this course is for:
System Administrators
Developers
Project Managers and Leadership
Cloud Administrators
Created by Mumshad Mannambeth Last updated 10/2018 English English
Size: 1.63 GB
   Download Now
https://ift.tt/39fbqsd.
The post OpenShift for the Absolute Beginners – Hands-on appeared first on Free Course Lab.
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