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seodigital7 · 7 days ago

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Hybrid Cloud Application: The Smart Future of Business IT

Introduction

In today’s digital-first environment, businesses are constantly seeking scalable, flexible, and cost-effective solutions to stay competitive. One solution that is gaining rapid traction is the hybrid cloud application model. Combining the best of public and private cloud environments, hybrid cloud applications enable businesses to maximize performance while maintaining control and security.

This 2000-word comprehensive article on hybrid cloud applications explains what they are, why they matter, how they work, their benefits, and how businesses can use them effectively. We also include real-user reviews, expert insights, and FAQs to help guide your cloud journey.

What is a Hybrid Cloud Application?

A hybrid cloud application is a software solution that operates across both public and private cloud environments. It enables data, services, and workflows to move seamlessly between the two, offering flexibility and optimization in terms of cost, performance, and security.

For example, a business might host sensitive customer data in a private cloud while running less critical workloads on a public cloud like AWS, Azure, or Google Cloud Platform.

Key Components of Hybrid Cloud Applications

Public Cloud Services – Scalable and cost-effective compute and storage offered by providers like AWS, Azure, and GCP.

Private Cloud Infrastructure – More secure environments, either on-premises or managed by a third-party.

Middleware/Integration Tools – Platforms that ensure communication and data sharing between cloud environments.

Application Orchestration – Manages application deployment and performance across both clouds.

Why Choose a Hybrid Cloud Application Model?

1. Flexibility

Run workloads where they make the most sense, optimizing both performance and cost.

2. Security and Compliance

Sensitive data can remain in a private cloud to meet regulatory requirements.

3. Scalability

Burst into public cloud resources when private cloud capacity is reached.

4. Business Continuity

Maintain uptime and minimize downtime with distributed architecture.

5. Cost Efficiency

Avoid overprovisioning private infrastructure while still meeting demand spikes.

Real-World Use Cases of Hybrid Cloud Applications

1. Healthcare

Protect sensitive patient data in a private cloud while using public cloud resources for analytics and AI.

2. Finance

Securely handle customer transactions and compliance data, while leveraging the cloud for large-scale computations.

3. Retail and E-Commerce

Manage customer interactions and seasonal traffic spikes efficiently.

4. Manufacturing

Enable remote monitoring and IoT integrations across factory units using hybrid cloud applications.

5. Education

Store student records securely while using cloud platforms for learning management systems.

Benefits of Hybrid Cloud Applications

Enhanced Agility

Better Resource Utilization

Reduced Latency

Compliance Made Easier

Risk Mitigation

Simplified Workload Management

Tools and Platforms Supporting Hybrid Cloud

Microsoft Azure Arc – Extends Azure services and management to any infrastructure.

AWS Outposts – Run AWS infrastructure and services on-premises.

Google Anthos – Manage applications across multiple clouds.

VMware Cloud Foundation – Hybrid solution for virtual machines and containers.

Red Hat OpenShift – Kubernetes-based platform for hybrid deployment.

Best Practices for Developing Hybrid Cloud Applications

Design for Portability Use containers and microservices to enable seamless movement between clouds.

Ensure Security Implement zero-trust architectures, encryption, and access control.

Automate and Monitor Use DevOps and continuous monitoring tools to maintain performance and compliance.

Choose the Right Partner Work with experienced providers who understand hybrid cloud deployment strategies.

Regular Testing and Backup Test failover scenarios and ensure robust backup solutions are in place.

Reviews from Industry Professionals

Amrita Singh, Cloud Engineer at FinCloud Solutions:

"Implementing hybrid cloud applications helped us reduce latency by 40% and improve client satisfaction."

John Meadows, CTO at EdTechNext:

"Our LMS platform runs on a hybrid model. We’ve achieved excellent uptime and student experience during peak loads."

Rahul Varma, Data Security Specialist:

"For compliance-heavy environments like finance and healthcare, hybrid cloud is a no-brainer."

Challenges and How to Overcome Them

1. Complex Architecture

Solution: Simplify with orchestration tools and automation.

2. Integration Difficulties

Solution: Use APIs and middleware platforms for seamless data exchange.

3. Cost Overruns

Solution: Use cloud cost optimization tools like Azure Advisor, AWS Cost Explorer.

4. Security Risks

Solution: Implement multi-layered security protocols and conduct regular audits.

FAQ: Hybrid Cloud Application

Q1: What is the main advantage of a hybrid cloud application?

A: It combines the strengths of public and private clouds for flexibility, scalability, and security.

Q2: Is hybrid cloud suitable for small businesses?

A: Yes, especially those with fluctuating workloads or compliance needs.

Q3: How secure is a hybrid cloud application?

A: When properly configured, hybrid cloud applications can be as secure as traditional setups.

Q4: Can hybrid cloud reduce IT costs?

A: Yes. By only paying for public cloud usage as needed, and avoiding overprovisioning private servers.

Q5: How do you monitor a hybrid cloud application?

A: With cloud management platforms and monitoring tools like Datadog, Splunk, or Prometheus.

Q6: What are the best platforms for hybrid deployment?

A: Azure Arc, Google Anthos, AWS Outposts, and Red Hat OpenShift are top choices.

Conclusion: Hybrid Cloud is the New Normal

The hybrid cloud application model is more than a trend—it’s a strategic evolution that empowers organizations to balance innovation with control. It offers the agility of the cloud without sacrificing the oversight and security of on-premises systems.

If your organization is looking to modernize its IT infrastructure while staying compliant, resilient, and efficient, then hybrid cloud application development is the way forward.

At diglip7.com, we help businesses build scalable, secure, and agile hybrid cloud solutions tailored to their unique needs. Ready to unlock the future? Contact us today to get started.

#blog posting #digital marketing #online marketing

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hawkstack · 8 days ago

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Creating and Configuring Production ROSA Clusters (CS220) – A Practical Guide

Introduction

Red Hat OpenShift Service on AWS (ROSA) is a powerful managed Kubernetes solution that blends the scalability of AWS with the developer-centric features of OpenShift. Whether you're modernizing applications or building cloud-native architectures, ROSA provides a production-grade container platform with integrated support from Red Hat and AWS. In this blog post, we’ll walk through the essential steps covered in CS220: Creating and Configuring Production ROSA Clusters, an instructor-led course designed for DevOps professionals and cloud architects.

What is CS220?

CS220 is a hands-on, lab-driven course developed by Red Hat that teaches IT teams how to deploy, configure, and manage ROSA clusters in a production environment. It is tailored for organizations that are serious about leveraging OpenShift at scale with the operational convenience of a fully managed service.

Why ROSA for Production?

Deploying OpenShift through ROSA offers multiple benefits:

Streamlined Deployment: Fully managed clusters provisioned in minutes.

Integrated Security: AWS IAM, STS, and OpenShift RBAC policies combined.

Scalability: Elastic and cost-efficient scaling with built-in monitoring and logging.

Support: Joint support model between AWS and Red Hat.

Key Concepts Covered in CS220

Here’s a breakdown of the main learning outcomes from the CS220 course:

1. Provisioning ROSA Clusters

Participants learn how to:

Set up required AWS permissions and networking pre-requisites.

Deploy clusters using Red Hat OpenShift Cluster Manager (OCM) or CLI tools like rosa and oc.

Use STS (Short-Term Credentials) for secure cluster access.

2. Configuring Identity Providers

Learn how to integrate Identity Providers (IdPs) such as:

GitHub, Google, LDAP, or corporate IdPs using OpenID Connect.

Configure secure, role-based access control (RBAC) for teams.

3. Networking and Security Best Practices

Implement private clusters with public or private load balancers.

Enable end-to-end encryption for APIs and services.

Use Security Context Constraints (SCCs) and network policies for workload isolation.

4. Storage and Data Management

Configure dynamic storage provisioning with AWS EBS, EFS, or external CSI drivers.

Learn persistent volume (PV) and persistent volume claim (PVC) lifecycle management.

5. Cluster Monitoring and Logging

Integrate OpenShift Monitoring Stack for health and performance insights.

Forward logs to Amazon CloudWatch, ElasticSearch, or third-party SIEM tools.

6. Cluster Scaling and Updates

Set up autoscaling for compute nodes.

Perform controlled updates and understand ROSA’s maintenance policies.

Use Cases for ROSA in Production

Modernizing Monoliths to Microservices

CI/CD Platform for Agile Development

Data Science and ML Workflows with OpenShift AI

Edge Computing with OpenShift on AWS Outposts

Getting Started with CS220

The CS220 course is ideal for:

DevOps Engineers

Cloud Architects

Platform Engineers

Prerequisites: Basic knowledge of OpenShift administration (recommended: DO280 or equivalent experience) and a working AWS account.

Course Format: Instructor-led (virtual or on-site), hands-on labs, and guided projects.

Final Thoughts

As more enterprises adopt hybrid and multi-cloud strategies, ROSA emerges as a strategic choice for running OpenShift on AWS with minimal operational overhead. CS220 equips your team with the right skills to confidently deploy, configure, and manage production-grade ROSA clusters — unlocking agility, security, and innovation in your cloud-native journey.

Want to Learn More or Book the CS220 Course? At HawkStack Technologies, we offer certified Red Hat training, including CS220, tailored for teams and enterprises. Contact us today to schedule a session or explore our Red Hat Learning Subscription packages. www.hawkstack.com

#hawkstack #hawkstack technologies #kubernetes #redhat #ansible #automation #openshift

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qcs01 · 8 months ago

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Unleashing the Power of Open Source with HawkStack: Training & Certification Programs

Introduction: In today's dynamic tech landscape, the demand for open-source technologies has skyrocketed. Companies worldwide are embracing open source for its flexibility, innovation, and cost-effectiveness. At HawkStack, we understand the importance of staying ahead of the curve, which is why we offer comprehensive training and certification programs in open-source technologies.

Why Open Source Matters: Open source isn't just a trend; it's a movement that drives innovation and collaboration. From Linux to Kubernetes, open-source tools form the backbone of modern IT infrastructures. Companies that leverage open-source technologies gain a competitive edge by reducing costs and speeding up development processes.

What HawkStack Offers: At HawkStack, we offer a range of training and certification programs designed to help professionals and organizations harness the full potential of open-source technologies. Whether you're a seasoned developer or just starting out, our courses are tailored to meet your needs.

Beginner to Advanced Courses: Our training programs cater to all levels, from introductory courses on Linux and Git to advanced topics like Kubernetes, Ansible, and OpenShift.

Hands-on Learning: We believe in learning by doing. Our courses include hands-on labs and real-world scenarios that prepare you for the challenges of the industry.

Expert Instructors: Our instructors are industry veterans with years of experience in open-source technologies. They bring practical insights and knowledge to every course.

Certification Programs: Gain recognition for your skills with HawkStack's certification programs. Our certifications are designed to validate your expertise and make you stand out in the job market.

Why Choose HawkStack for Open Source Training? HawkStack's open-source training programs are more than just learning experiences; they're stepping stones to success. Here’s why you should choose us:

Comprehensive Curriculum: Our training covers the most in-demand open-source tools and technologies.

Flexibility: Whether you prefer self-paced learning or live instructor-led sessions, we have options that suit your schedule.

Community Support: Join a thriving community of like-minded professionals. Network, collaborate, and learn from each other.

Career Advancement: Our certifications are recognized by top employers, giving you an edge in the competitive job market.

Success Stories: Many professionals have transformed their careers with HawkStack’s open-source training programs. From landing high-paying jobs to leading open-source projects, our students' success stories speak volumes about the quality of our training.

Conclusion: Open source is the future of technology, and with HawkStack, you can be at the forefront of this revolution. Invest in your career with our cutting-edge training and certification programs. Whether you're looking to upskill, change careers, or stay ahead in your field, HawkStack has the right program for you.

for more details www.hawkstack.com

#redhatcourses #docker #information technology #linux #containerorchestration #container #containersecurity #kubernetes #hawkstack #hawkstack technologies

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datamattsson · 5 years ago

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A Vagrant Story

Like everyone else I wish I had more time in the day. In reality, I want to spend more time on fun projects. Blogging and content creation has been a bit on a hiatus but it doesn't mean I have less things to write and talk about. In relation to this rambling I want to evangelize a tool I've been using over the years that saves an enormous amount of time if you're working in diverse sandbox development environments, Vagrant from HashiCorp.

Elevator pitch

Vagrant introduces a declarative model for virtual machines running in a development environment on your desktop. Vagrant supports many common type 2 hypervisors such as KVM, VirtualBox, Hyper-V and the VMware desktop products. The virtual machines are packaged in a format referred to as "boxes" and can be found on vagrantup.com. It's also quite easy to build your own boxes from scratch with another tool from HashiCorp called Packer. Trust me, if containers had not reached the mainstream adoption it has today, Packer would be a household tool. It's a blog post in itself for another day.

Real world use case

I got roped into a support case with a customer recently. They were using the HPE Nimble Storage Volume Plugin for Docker with a particular version of NimbleOS, Docker and docker-compose. The toolchain exhibited a weird behavior that would require two docker hosts and a few iterations to reproduce the issue. I had this environment stood up, diagnosed and replied to the support team with a customer facing response in less than an hour, thanks to Vagrant.

vagrant init

Let's elaborate on how to get a similar environment set up that I used in my support engagement off the ground. Let's assume vagrant and a supported type 2 hypervisor is installed. This example will work on Windows, Linux and Mac.

Create a new project folder and instantiate a new Vagrantfile. I use a collection of boxes built from these sources. Bento boxes provide broad coverage of providers and a variety of Linux flavors.

mkdir myproj && cd myproj vagrant init bento/ubuntu-20.04 A `Vagrantfile` has been placed in this directory. You are now ready to `vagrant up` your first virtual environment! Please read the comments in the Vagrantfile as well as documentation on `vagrantup.com` for more information on using Vagrant.

There's now a Vagrantfile in the current directory. There's a lot of commentary in the file to allow customization of the environment. It's possible to declare multiple machines in one Vagrantfile, but for the sake of an introduction, we'll explore setting up a single VM.

One of the more useful features is that Vagrant support "provisioners" that runs at first boot. It makes it easy to control the initial state and reproduce initialization with a few keystrokes. I usually write Ansible playbooks for more elaborate projects. For this exercise we'll use the inline shell provisioner to install and start docker.

Vagrant.configure("2") do |config| config.vm.box = "bento/ubuntu-20.04" config.vm.provision "shell", inline: <<-SHELL apt-get update apt-get install -y docker.io python3-pip pip3 install docker-compose usermod -a -G docker vagrant systemctl enable --now docker SHELL end

Prepare for very verbose output as we bring up the VM.

Note: The vagrant command always assumes working on the Vagrantfile in the current directory.

vagrant up

After the provisioning steps, a new VM is up and running from a thinly cloned disk of the source box. Initial download may take a while but the instance should be up in a minute or so.

Post-declaration tricks

There are some must-know Vagrant environment tricks that differentiate Vagrant from right-clicking in vCenter or fumbling in the VirtualBox UI.

SSH access

Accessing the shell of the VM can be done in two ways, most commonly is to simply do vagrant ssh and that will drop you at the prompt of the VM with the predefined user "vagrant". This method is not very practical if using other SSH-based tools like scp or doing advanced tunneling. Vagrant keeps track of the SSH connection information and have the capability to spit it out in a SSH config file and then the SSH tooling may reference the file. Example:

vagrant ssh-config > ssh-config ssh -F ssh-config default

Host shared directory

Inside the VM, /vagrant is shared with the host. This is immensely helpful as any apps your developing for the particular environment can be stored on the host and worked on from the convenience of your desktop. As an example, if I were to use the customer supplied docker-compose.yml and Dockerfile, I'd store those in /vagrant/app which in turn would correspond to my <current working directory for the project>/app.

Pushing and popping

Vagrant supports using the hypervisor snapshot capabilities. However, it does come with a very intuitive twist. Assume we want to store the initial boot state, let's push!

vagrant snapshot push ==> default: Snapshotting the machine as 'push_1590949049_3804'... ==> default: Snapshot saved! You can restore the snapshot at any time by ==> default: using `vagrant snapshot restore`. You can delete it using ==> default: `vagrant snapshot delete`.

There's now a VM snapshot of this environment (if it was a multi-machine setup, a snapshot would be created on all the VMs). The snapshot we took is now on top of the stack. Reverting to the top of the stack, simply pop back:

vagrant snapshot pop --no-delete ==> default: Forcing shutdown of VM... ==> default: Restoring the snapshot 'push_1590949049_3804'... ==> default: Checking if box 'bento/ubuntu-20.04' version '202004.27.0' is up to date... ==> default: Resuming suspended VM... ==> default: Booting VM... ==> default: Waiting for machine to boot. This may take a few minutes... default: SSH address: 127.0.0.1:2222 default: SSH username: vagrant default: SSH auth method: private key ==> default: Machine booted and ready! ==> default: Machine already provisioned. Run `vagrant provision` or use the `--provision` ==> default: flag to force provisioning. Provisioners marked to run always will still run.

You're now back to the previous state. The snapshot sub-command allows restoring to a particular snapshot and it's possible to have multiple states with sensible names too, if stepping through debugging scenarios or experimenting with named states.

Summary

These days there's a lot of compute and memory available on modern laptops and desktops. Why run development in the cloud or a remote DC when all you need is available right under your finger tips? Sure, you can't run a full blown OpenShift or HPE Container Platform but you can certainly run a representable Kubernetes clusters where minishift, microk8s and the likes won't work if you need access to the host OS (yes, I'm in the storage biz). In a recent personal project I've used this tool to simply make Kubernetes clusters with Vagrant. It works surprisingly well and allow a ton of customization.

Bonus trivia

Vagrant Story is a 20 year old videogame for PlayStation (one) from SquareSoft (now SquareEnix). It features a unique battle system I've never seen anywhere else to this day and it was one of those games I played back-to-back three times over. It's awesome. Check it out on Wikipedia.

#Vagrant #HashiCorp #Virtualization #Developer #Docker #Kubernetes #Sandbox

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codecraftshop · 5 years ago

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Introduction to openshift and why openshift - introduction to openshift#openshift # openshift4 #containerization #cloud #online #container #kubernetes #docker #automation #Introduction #redhatopenshift , introduction to openshift,red hat introduction to openshift,introduction to openshift container platform,introduction to openshift applications redhat,introduction to openshift applications,introduction to openshift online cluster overview of openshift,introduction to openshift and why openshift,what is red hat openshift,red hat openshift container platform,Introduction to openshift online cluster overview of openshift cluster red hat openshift,openshift,red hat https://www.youtube.com/channel/UCnIp4tLcBJ0XbtKbE2ITrwA?sub_confirmation=1&app=desktop About: 00:00 Introduction to openshift and why openshift | openshift 4 | openshift4 | red hat openshift Introduction to openshift and why openshift - introduction to openshift In this course we will learn about Openshift/ Openshift4 a cloud based container to build deploy test our application on cloud. In this course we will discuss about openshift 4, why we should use openshift and the different features which Openshift provides. Why openshift is considered as a rich cloud based platform. Openshift 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. 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 .

#introduction to openshift #red hat introduction to openshift #introduction to openshift container platform #introduction to openshift applications redhat #introduction to openshift applications #introduction to openshift online cluster overview of openshift #introduction to openshift and why openshift #what is red hat openshift #red hat openshift container platform #Introduction to openshift online cluster overview of openshift cluster red hat openshift #openshift #red hat

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aelumconsulting · 3 years ago

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Blog On: Java For Cloud And The Cloud For Java

Introduction to Cloud

Technologies are updating with a higher speed as per the requirements. It is not only with the technology but also with our daily routines, lifestyles, system update, version update. We keep updating ourselves and our systems too as it adds more features and new capabilities.

Companies are switching to Cloud for almost all their work and operations to automate their maximum processes. Cloud is centered on automation.

Cloud is like a server that runs all the software and applications and it doesn’t require physical space in the organization. Cloud has the ability to give you access to your files from any device. All organizations are approaching and investing on a bigger scale in the cloud.

Java

Java is a high-level, object-oriented programming language. It is used as one of the most secure programming languages. It is used to create web applications, desktop applications, and games. Java is one of the most usable languages by developers worldwide. As per Oracle analysis, around 12 million developers use Java for the development of web applications.

Why do we use Java for Cloud?

Security– Java provides better security in comparison to other languages. JDK is created with full consideration of security. The presence of Secure class loading and verification mechanism is the characteristic of java.

Presence of Libraries– The huge amount of libraries in java that provides better security and implementation to the codes.

Support and Maintenance–Java provide you with continuous support in terms of IDE. In java, it is easy for you to fix bugs and compile your program.

Untyped– Java is a typed language, unlike other programming languages. Every variable always declares with a datatype. The variable is incomplete without the presence of datatype in java.

Why do we need the cloud for Java???

Many organizations are currently using the cloud considering its potential to grow. Java applications consist of a huge amount of coding and implementation and the cloud helps to manage it.

Additional Capabilities-You can go to the cloud and directly add on any number of services you want for the cloud. Resources use is on you completely that how many resources you want to use.

Flexibility-Cloud will provide you with the right amount of resources even if the load is high. When the load is low then the same resources are going to be available for the other clients.

Analytics and Metrics– It will provide you complete access to an analytics dashboard where you can see the actual metrics, use of your resources, profit, and many other performance derivatives.

More Accessibility– You will be able to access all your services on every device and it will accessible to you worldwide at any system.

Comparison to other languages

When you write a code in C it is tough to manage the memory and if you make a mistake in C, the application can crash and it will spoil all your work but that’s not the case with java cloud as it provides more security to you with storage.

Java Cloud Development Tools

Oracle Java Cloud Service-It is one of the platform services offerings in the oracle cloud. When you create an instance in oracle cloud it provides you the choice to use your environment.

AWS SDK for Java– Amazon provides scalable, reliable, and scalable java applications on the cloud. API’s available for AWS services includes AMAZON EC2, DYNAMODB, AMAZON S3. They will provide you with the documentation for deploying your web applications on the cloud.

OpenShift– It is a platform as a service provided by Redhat. It allows you to develop your java applications quickly.

IBM SmartCloud-It provides many services, a platform as a service, Software as a service, infrastructure as a service using different deployment models.

Google App Engine– In the google app engine it is easy to create your web applications. It allows you to maintain your apps you just need to upload your application and you are done with it.

Cloudfoundry-Its a platform as a service developed by VMWare. It helps you to develop your whole product from start to end which is the complete software development life cycle.

Heroku Java– This Cloud platform is a Platform as a service that allows you to develop your applications the way you want with more features.

Jelastic-Its an unlimited platform as a service that provides better availability of applications. perform Vertical and horizontal scaling.

CONCLUSION– Diversion to the cloud is helpful for java developers to deploy their applications on the cloud and manage them in a better way.

“Either way it is java for the cloud or the cloud for java it helps you to create the applications faster with the optimized cost.”

For More Details And Blogs : Aelum Consulting Blogs

If you want to increase the quality and efficiency of your ServiceNow workflows, Try out our ServiceNow Microassesment.

For ServiceNow Implementations and ServiceNow Consulting Visit our website: https://aelumconsulting.com/servicenow/

#java #java for cloud #java cloud #digital transformation

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devopsengineer · 4 years ago

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John willis devops

John willis devops John willis devops New John willis devops Introduction to DevSecOps by John Willis (Red Hat) – OpenShift Commons Briefing December 12, 2019 | by Diane Mueller In this briefing, DevSecOps expert, John Willis, Senior Director, Global Transformation Office at Red Hat gives an introduction to DevSecOps and a brief history of the origins of the topics. Why traditional DevOps has…

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#devops John willis devops #John #willis

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perfectirishgifts · 4 years ago

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Kubernetes: What You Need To Know

New Post has been published on https://perfectirishgifts.com/kubernetes-what-you-need-to-know/

Kubernetes: What You Need To Know

Digital generated image of data.

Kubernetes is a system that helps with the deployment, scaling and management of containerized applications. Engineers at Google built it to handle the explosive workloads of the company’s massive digital platforms. Then in 2014, the company made Kubernetes available as open source, which significantly expanded the usage.

Yes, the technology is complicated but it is also strategic. This is why it’s important for business people to have a high-level understanding of Kubernetes.

“Kubernetes is extended by an ecosystem of components and tools that relieve the burden of developing and running applications in public and private clouds,” said Thomas Di Giacomo, who is the Chief Technology and Product Officer at SUSE. “With this technology, IT teams can deploy and manage applications quickly and predictably, scale them on the fly, roll out new features seamlessly, and optimize hardware usage to required resources only. Because of what it enables, Kubernetes is going to be a major topic in boardroom discussions in 2021, as enterprises continue to adapt and modernize IT strategy to support remote workflows and their business.”

In fact, Kubernetes changes the traditional paradigm of application development. “The phrase ‘cattle vs. pets’ is often used to describe the way that using a container orchestration platform like Kubernetes changes the way that software teams think about and deal with the servers powering their applications,” said Phil Dougherty, who is the Senior Product Manager for the DigitalOcean App Platform for Kubernetes and Containers. “Teams no longer need to think about individual servers as having specific jobs, and instead can let Kubernetes decide which server in the fleet is the best location to place the workload. If a server fails, Kubernetes will automatically move the applications to a different, healthy server.”

There are certainly many use cases for Kubernetes. According to Brian Gracely, who is the Sr. Director of Product Strategy at Red Hat OpenShift, the technology has proven effective for:

New, cloud-native microservice applications that change frequently and benefit from dynamic, cloud-like scaling.

The modernization of existing applications, such as putting them into containers to improve agility, combined with modern cloud application services.

The lift-and-shift of an existing application so as to reduce the cost or CPU overhead of virtualization.

Run most AI/ML frameworks.

Have a broad set of data-centric and security-centric applications that run in highly automated environments

Use the technology for edge computing (both for telcos and enterprises) when applications run on low-cost devices in containers.

Now all this is not to imply that Kubernetes is an elixir for IT. The technology does have its drawbacks.

“As the largest open-source platform ever, it is extremely powerful but also quite complicated,” said Mike Beckley, who is the Chief Technology Officer at Appian. “If companies think their private cloud efforts will suddenly go from failure to success because of Kubernetes, they are kidding themselves. It will be a heavy lift to simply get up-to-speed because most companies don’t have the skills, expertise and money for the transition.”

Even the setup of Kubernetes can be convoluted. “It can be difficult to configure for larger enterprises because of all the manual steps necessary for unique environments,” said Darien Ford, who is the Senior Director of Software Engineering at Capital One.

But over time, the complexities will get simplified. It’s the inevitable path of technology. And there will certainly be more investments from venture capitalists to build new tools and systems.

“We are already seeing the initial growth curve of Kubernetes with managed platforms across all of the hyper scalers—like Google, AWS, Microsoft—as well as the major investments that VMware and IBM are making to address the hybrid multi-cloud needs of enterprise customers,” said Eric Drobisewski, who is the Senior Architect at Liberty Mutual Insurance. “With the large-scale adoption of Kubernetes and the thriving cloud-native ecosystem around it, the project has been guided and governed well by the Cloud Native Computing Foundation. This has ensured conformance across the multitude of Kubernetes providers. What comes next for Kubernetes will be the evolution to more distributed environments, such as through software defined networks, extended with 5G connectivity that will enable edge and IoT based deployments.”

Tom (@ttaulli) is an advisor/board member to startups and the author of Artificial Intelligence Basics: A Non-Technical Introduction and The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems. He also has developed various online courses, such as for the COBOL and Python programming languages.

From Entrepreneurs in Perfectirishgifts

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skepsos · 8 years ago

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Getting started with OpenShift Java S2I

Introduction

The OpenShift Java S2I image, which allows you to automatically build and deploy your Java microservices, has just been released and is now publicly available. This article describes how to get started with the Java S2I container image, but first let’s discuss why having a Java S2I image is so important.

Why Java S2I?

The Java S2I image enables developers to automatically build,…

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dmroyankita · 5 years ago

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What is Kubernetes?

Kubernetes (also known as k8s or “kube”) is an open source container orchestration platform that automates many of the manual processes involved in deploying, managing, and scaling containerized applications.

In other words, you can cluster together groups of hosts running Linux containers, and Kubernetes helps you easily and efficiently manage those clusters.

Kubernetes clusters can span hosts across on-premise, public, private, or hybrid clouds. For this reason, Kubernetes is an ideal platform for hosting cloud-native applications that require rapid scaling, like real-time data streaming through Apache Kafka.

Kubernetes was originally developed and designed by engineers at Google. Google was one of the early contributors to Linux container technology and has talked publicly about how everything at Google runs in containers. (This is the technology behind Google’s cloud services.)

Google generates more than 2 billion container deployments a week, all powered by its internal platform, Borg. Borg was the predecessor to Kubernetes, and the lessons learned from developing Borg over the years became the primary influence behind much of Kubernetes technology.

Fun fact: The 7 spokes in the Kubernetes logo refer to the project’s original name, “Project Seven of Nine.”

Red Hat was one of the first companies to work with Google on Kubernetes, even prior to launch, and has become the 2nd leading contributor to the Kubernetes upstream project. Google donated the Kubernetes project to the newly formed Cloud Native Computing Foundation (CNCF) in 2015.

Get an introduction to enterprise Kubernetes

What can you do with Kubernetes?

The primary advantage of using Kubernetes in your environment, especially if you are optimizing app dev for the cloud, is that it gives you the platform to schedule and run containers on clusters of physical or virtual machines (VMs).

More broadly, it helps you fully implement and rely on a container-based infrastructure in production environments. And because Kubernetes is all about automation of operational tasks, you can do many of the same things other application platforms or management systems let you do—but for your containers.

Developers can also create cloud-native apps with Kubernetes as a runtime platform by using Kubernetes patterns. Patterns are the tools a Kubernetes developer needs to build container-based applications and services.

With Kubernetes you can:

Orchestrate containers across multiple hosts.

Make better use of hardware to maximize resources needed to run your enterprise apps.

Control and automate application deployments and updates.

Mount and add storage to run stateful apps.

Scale containerized applications and their resources on the fly.

Declaratively manage services, which guarantees the deployed applications are always running the way you intended them to run.

Health-check and self-heal your apps with autoplacement, autorestart, autoreplication, and autoscaling.

However, Kubernetes relies on other projects to fully provide these orchestrated services. With the addition of other open source projects, you can fully realize the power of Kubernetes. These necessary pieces include (among others):

Registry, through projects like Atomic Registry or Docker Registry

Networking, through projects like OpenvSwitch and intelligent edge routing

Telemetry, through projects such as Kibana, Hawkular, and Elastic

Security, through projects like LDAP, SELinux, RBAC, and OAUTH with multitenancy layers

Automation, with the addition of Ansible playbooks for installation and cluster life cycle management

Services, through a rich catalog of popular app patterns

Get an introduction to Linux containers and container orchestration technology. In this on-demand course, you’ll learn about containerizing applications and services, testing them using Docker, and deploying them on a Kubernetes cluster using Red Hat® OpenShift®.

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Learn to speak Kubernetes

As is the case with most technologies, language specific to Kubernetes can act as a barrier to entry. Let's break down some of the more common terms to help you better understand Kubernetes.

Master: The machine that controls Kubernetes nodes. This is where all task assignments originate.

Node: These machines perform the requested, assigned tasks. The Kubernetes master controls them.

Pod: A group of one or more containers deployed to a single node. All containers in a pod share an IP address, IPC, hostname, and other resources. Pods abstract network and storage from the underlying container. This lets you move containers around the cluster more easily.

Replication controller: This controls how many identical copies of a pod should be running somewhere on the cluster.

Service: This decouples work definitions from the pods. Kubernetes service proxies automatically get service requests to the right pod—no matter where it moves in the cluster or even if it’s been replaced.

Kubelet: This service runs on nodes, reads the container manifests, and ensures the defined containers are started and running.

kubectl: The command line configuration tool for Kubernetes.

How does Kubernetes work?

Kubernetes diagram

A working Kubernetes deployment is called a cluster. You can visualize a Kubernetes cluster as two parts: the control plane, which consists of the master node or nodes, and the compute machines, or worker nodes.

Worker nodes run pods, which are made up of containers. Each node is its own Linux® environment, and could be either a physical or virtual machine.

The master node is responsible for maintaining the desired state of the cluster, such as which applications are running and which container images they use. Worker nodes actually run the applications and workloads.

Kubernetes runs on top of an operating system (Red Hat® Enterprise Linux®, for example) and interacts with pods of containers running on the nodes.

The Kubernetes master node takes the commands from an administrator (or DevOps team) and relays those instructions to the subservient nodes.

This handoff works with a multitude of services to automatically decide which node is best suited for the task. It then allocates resources and assigns the pods in that node to fulfill the requested work.

The desired state of a Kubernetes cluster defines which applications or other workloads should be running, along with which images they use, which resources should be made available to them, and other such configuration details.

From an infrastructure point of view, there is little change to how you manage containers. Your control over containers just happens at a higher level, giving you better control without the need to micromanage each separate container or node.

Some work is necessary, but it’s mostly a matter of assigning a Kubernetes master, defining nodes, and defining pods.

Where you run Kubernetes is up to you. This can be on bare metal servers, virtual machines, public cloud providers, private clouds, and hybrid cloud environments. One of Kubernetes’ key advantages is it works on many different kinds of infrastructure.

Learn about the other components of a Kubernetes architecture

What about Docker?

Docker can be used as a container runtime that Kubernetes orchestrates. When Kubernetes schedules a pod to a node, the kubelet on that node will instruct Docker to launch the specified containers.

The kubelet then continuously collects the status of those containers from Docker and aggregates that information in the master. Docker pulls containers onto that node and starts and stops those containers.

The difference when using Kubernetes with Docker is that an automated system asks Docker to do those things instead of the admin doing so manually on all nodes for all containers.

Why do you need Kubernetes?

Kubernetes can help you deliver and manage containerized, legacy, and cloud-native apps, as well as those being refactored into microservices.

In order to meet changing business needs, your development team needs to be able to rapidly build new applications and services. Cloud-native development starts with microservices in containers, which enables faster development and makes it easier to transform and optimize existing applications.

Production apps span multiple containers, and those containers must be deployed across multiple server hosts. Kubernetes gives you the orchestration and management capabilities required to deploy containers, at scale, for these workloads.

Kubernetes orchestration allows you to build application services that span multiple containers, schedule those containers across a cluster, scale those containers, and manage the health of those containers over time. With Kubernetes you can take effective steps toward better IT security.

Kubernetes also needs to integrate with networking, storage, security, telemetry, and other services to provide a comprehensive container infrastructure.

Kubernetes explained - diagram

Once you scale this to a production environment and multiple applications, it's clear that you need multiple, colocated containers working together to deliver the individual services.

Linux containers give your microservice-based apps an ideal application deployment unit and self-contained execution environment. And microservices in containers make it easier to orchestrate services, including storage, networking, and security.

This significantly multiplies the number of containers in your environment, and as those containers accumulate, the complexity also grows.

Kubernetes fixes a lot of common problems with container proliferation by sorting containers together into ”pods.” Pods add a layer of abstraction to grouped containers, which helps you schedule workloads and provide necessary services—like networking and storage—to those containers.

Other parts of Kubernetes help you balance loads across these pods and ensure you have the right number of containers running to support your workloads.

With the right implementation of Kubernetes—and with the help of other open source projects like Atomic Registry, Open vSwitch, heapster, OAuth, and SELinux— you can orchestrate all parts of your container infrastructure.

Use case: Building a cloud platform to offer innovative banking services

Emirates NBD, one of the largest banks in the United Arab Emirates (UAE), needed a scalable, resilient foundation for digital innovation. The bank struggled with slow provisioning and a complex IT environment. Setting up a server could take 2 months, while making changes to large, monolithic applications took more than 6 months.

Using Red Hat OpenShift Container Platform for container orchestration, integration, and management, the bank created Sahab, the first private cloud run at scale by a bank in the Middle East. Sahab provides applications, systems, and other resources for end-to-end development—from provisioning to production—through an as-a-Service model.

With its new platform, Emirates NBD improved collaboration between internal teams and with partners using application programming interfaces (APIs) and microservices. And by adopting agile and DevOps development practices, the bank reduced app launch and update cycles.

Read the full case study

Support a DevOps approach with Kubernetes

Developing modern applications requires different processes than the approaches of the past. DevOps speeds up how an idea goes from development to deployment.

At its core, DevOps relies on automating routine operational tasks and standardizing environments across an app’s lifecycle. Containers support a unified environment for development, delivery, and automation, and make it easier to move apps between development, testing, and production environments.

A major outcome of implementing DevOps is a continuous integration and continuous deployment pipeline (CI/CD). CI/CD helps you deliver apps to customers frequently and validate software quality with minimal human intervention.

Managing the lifecycle of containers with Kubernetes alongside a DevOps approach helps to align software development and IT operations to support a CI/CD pipeline.

With the right platforms, both inside and outside the container, you can best take advantage of the culture and process changes you’ve implemented.

Learn more about how to implement a DevOps approach

Using Kubernetes in production

Kubernetes is open source and as such, there’s not a formalized support structure around that technology—at least not one you’d trust your business to run on.[Source]-https://www.redhat.com/en/topics/containers/what-is-kubernetes

Basic & Advanced Kubernetes Certification using cloud computing, AWS, Docker etc. in Mumbai. Advanced Containers Domain is used for 25 hours Kubernetes Training.

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faizrashis1995 · 5 years ago

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5 predictions for Kubernetes in 2020

How do you track a wildly popular project like Kubernetes? How do you figure out where it’s going? If you are contributing to the project or participating in Special Interest Groups (SIGs), you might gain insight by osmosis, but for those of you with day jobs that don’t include contributing to Kubernetes, you might like a little help reading the tea leaves. With a fast-moving project like Kubernetes, the end of the year is an excellent time to take a look at the past year to gain insight into the next one.

This year, Kubernetes made a lot of progress. Aside from inspecting code, documentation, and meeting notes, another good source is blog entries. To gain some insights, I took a look at the top ten Kubernetes articles on Opensource.com. These articles give us insight into what topics people are interested in reading, but just as importantly, what articles people are interested in writing. Let’s dig in!

(Get the full list of top 10 Kubernetes articles from 2019 at the end.)

First, I would point out that five of these articles tackle the expansion of workloads and where they can run. This expansion of workloads includes data science, PostgreSQL, InfluxDB, and Grafana (as a workload, not just to monitor the cluster itself) and Edge. Historically, Kubernetes and containers in general have mostly run on top of virtual machines, especially when run on infrastructure provided by cloud providers. With this interest in Kubernetes at the edge, it’s another sign that end users are genuinely interested in Kubernetes on bare metal (see also Kubernetes on metal with OpenShift).

Next, there seems to be a lot of hunger for operational knowledge and best practices with Kubernetes. From Kubernetes Operators, to Kubernetes Controllers, from Secrets to ConfigMaps, developers and operators alike are looking for best practices and ways to simplify workload deployment and management. Often we get caught up in the actual configuration example, or how people do it, and don’t take a step back to realize that all of these fall into the bucket of how to operationalize the deployment of applications (not how to install or run Kubernetes itself).

Finally, people seem to be really interested in getting started. In fact, there is so much information on how to build Kubernetes that it intimidates people and gets them down the wrong path. A couple of the top articles focus on why you should learn to run applications on Kubernetes instead of concentrating on installing it. Like best practices, people often don’t take a step back to analyze where they should invest their time when getting started. I have always advocated for, where possible, spending limited time and money on using technology instead of building it.

5 predictions for Kubernetes in 2020

So, looking back at those themes from 2019, what does this tell us about where 2020 is going? Well, combining insight from these articles with my own broad purview, I want to share my thoughts for 2020 and beyond:

Expansion of workloads. I would keep my eye on high-performance computing, AI/ML, and stateful workloads using Operators.

More concrete best practices, especially around mature standards like PCI, HIPAA, NIST, etc.

Increased security around rootless and higher security runtimes classes (like gVisor, Kata Containers, etc.)

Better standardization on Kubernetes manifests as the core artifact for deployment in development and sharing applications between developers. Things like podman generate kube, podman play kube, and all in one Kubernetes environments like CodeReady Containers (CRC)

An ever-wider ecosystem of network, storage and specialized hardware (GPUs, etc.) vendors creating best of breed solutions for Kubernetes (in free software, we believe that open ecosystems are better than vertically integrated solutions)[Source]-How do you track a wildly popular project like Kubernetes? How do you figure out where it’s going? If you are contributing to the project or participating in Special Interest Groups (SIGs), you might gain insight by osmosis, but for those of you with day jobs that don’t include contributing to Kubernetes, you might like a little help reading the tea leaves. With a fast-moving project like Kubernetes, the end of the year is an excellent time to take a look at the past year to gain insight into the next one.