#openshift architecture

[codecraftshop]

Login to openshift cluster in different ways | openshift 4

There are several ways to log in to an OpenShift cluster, depending on your needs and preferences. Here are some of the most common ways to log in to an OpenShift 4 cluster: Using the Web Console: OpenShift provides a web-based console that you can use to manage your cluster and applications. To log in to the console, open your web browser and navigate to the URL for the console. You will be…

[qcs01]

Red Hat Training Categories: Empowering IT Professionals for the Future

Red Hat, a leading provider of enterprise open-source solutions, offers a comprehensive range of training programs designed to equip IT professionals with the knowledge and skills needed to excel in the rapidly evolving world of technology. Whether you're an aspiring system administrator, a seasoned DevOps engineer, or a cloud architect, Red Hat's training programs cover key technologies and tools that drive modern IT infrastructures. Let’s explore some of the key Red Hat training categories.

1. Red Hat Enterprise Linux (RHEL)

RHEL is the foundation of many enterprises, and Red Hat offers extensive training to help IT professionals master Linux system administration, automation, and security. Key courses in this category include:

Red Hat Certified System Administrator (RHCSA): An essential certification for beginners in Linux administration.

Red Hat Certified Engineer (RHCE): Advanced training in system administration, emphasizing automation using Ansible.

Security and Identity Management: Focuses on securing Linux environments and managing user identities.

2. Ansible Automation

Automation is at the heart of efficient IT operations, and Ansible is a powerful tool for automating tasks across diverse environments. Red Hat offers training on:

Ansible Basics: Ideal for beginners looking to understand how to automate workflows and deploy applications.

Advanced Ansible Automation: Focuses on optimizing playbooks, integrating Ansible Tower, and managing large-scale deployments.

3. OpenShift Container Platform

OpenShift is Red Hat’s Kubernetes-based platform for managing containerized applications. Red Hat training covers topics like:

OpenShift Administration: Learn how to install, configure, and manage OpenShift clusters.

OpenShift Developer: Build, deploy, and scale containerized applications on OpenShift.

4. Red Hat Cloud Technologies

With businesses rapidly adopting cloud technologies, Red Hat’s cloud training programs ensure that professionals are prepared for cloud-native development and infrastructure management. Key topics include:

Red Hat OpenStack: Learn how to deploy and manage private cloud environments.

Red Hat Virtualization: Master the deployment of virtual machines and manage large virtualized environments.

5. DevOps Training

Red Hat is committed to promoting DevOps practices, helping teams collaborate more efficiently. DevOps training includes:

Red Hat DevOps Pipelines and CI/CD: Learn how to streamline software development, testing, and deployment processes.

Container Development and Kubernetes Integration: Get hands-on experience with containerized applications and orchestrating them using Kubernetes.

6. Cloud-Native Development

As enterprises move towards microservices and cloud-native applications, Red Hat provides training on developing scalable and resilient applications:

Microservices Architecture: Learn to build and deploy microservices using Red Hat’s enterprise open-source tools.

Serverless Application Development: Focus on building lightweight applications that scale on demand.

7. Red Hat Satellite

Red Hat Satellite simplifies Linux system management at scale, and its training focuses on:

Satellite Server Administration: Learn how to automate system maintenance and streamline software updates across your RHEL environment.

8. Security and Compliance

In today's IT landscape, security is paramount. Red Hat offers specialized training on securing infrastructure and ensuring compliance:

Linux Security Essentials: Learn to safeguard Linux environments from vulnerabilities.

Advanced Security Features: Cover best practices for maintaining security across hybrid cloud environments.

Why Red Hat Training?

Red Hat certifications are globally recognized, validating your expertise in open-source technologies. They offer hands-on, practical training that helps professionals apply their knowledge directly to real-world challenges. By investing in Red Hat training, you are preparing yourself for future innovations and ensuring that your skills remain relevant in an ever-changing industry.

Conclusion

Red Hat training empowers IT professionals to build, manage, and secure the enterprise-grade systems that are shaping the future of technology. Whether you're looking to enhance your Linux skills, dive into automation with Ansible, or embrace cloud-native development, there’s a Red Hat training category tailored to your needs.

For more details click www.hawkstack.com 

[govindhtech]

AMD EPYC Processors Widely Supported By Red Hat OpenShift

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

[krnetwork]

EX210: Red Hat OpenStack Training (CL110 & CL210)

In CL110, equips you to operate a secure, scalable RHOSP overcloud with OpenStack integration, enhancing troubleshooting skills. In CL210, gain expertise in scaling and managing Red Hat OpenStack environments, using the OpenStack Client for seamless day-to-day operations of enterprise cloud applications.

Overview of this Training | CL110 & CL210 Red Hat OpenStack Administration I | CL110 Training | KR Network Cloud

The course CL110, Red Hat OpenStack Administration I: Core Operations for Domain Operators, educates you on how to run and maintain a production-ready Red Hat OpenStack Platform (RHOSP) single-site overcloud. The skills that participants will gain include managing security privileges for the deployment of scalable cloud applications and building secure project environments for resource provisioning. Integration of OpenShift with load balancers, identity management, monitoring, proxies, and storage are all covered in the course. Participants will also improve their Day 2 operations and troubleshooting skills. Red Hat OpenStack Platform 16.1 is in keeping with this course.

Red Hat OpenStack Administration II | CL210 Training | KR Network Cloud The course CL210, Red Hat OpenStack Administration II: Day 2 Operations for Cloud Operators, is designed for service administrators, automation engineers, and cloud operators who manage Red Hat OpenStack Platform hybrid and private cloud environments. Participants in the course will learn how to scale, manage, monitor, and troubleshoot an infrastructure built on the Red Hat OpenStack Platform. The main goal is to set up metrics, policies, and architecture using the OpenStack Client command-line interface so that enterprise cloud applications can be supported and day-to-day operations run smoothly. For further information visit our Website: krnetworkcloud.org

[amritatechh]

Red Hat OpenShift API Management

Red Hat open shift API Management

Red Hat open shift:​

Red Hat OpenShift is a powerful and popular containerization solution that simplifies the process of building, deploying, and managing containerized applications. Red Hat open shift containers & Kubernetes have become the chief enterprise Kubernetes programs available to businesses looking for a hybrid cloud framework to create highly efficient programs. We are expanding on that by introducing Red Hat OpenShift API Management, a service for both Red Hat OpenShift Dedicated and Red Hat OpenShift Service on AWS that would help accelerate time-to-value and lower the cost of building APIs-first microservices applications.

Red Hat’s managed cloud services portfolio includes Red Hat OpenShift API Management, which helps in development rather than establishing the infrastructure required for APIs. Your development and operations team should be focusing on something other than the infrastructure of an API Management Service because it has some advantages for an organisation.

What is Red Hat OpenShift API Management? ​

OpenShift API Management is an on-demand solution hosted on Red Hat 3scale (API Management), with integrated sign-on authentication provided by Red Hat SSO. Instead of taking responsibility for running an API management solution on a large-scale deployment, it allows organisations to use API management as part of any service that can integrate applications within their organisation.

It is a completely Red Hat-managed solution that handles all API security, developer onboarding, program management, and analysis. It is ideal for companies that have used the 3scale.net SaaS offering and would like to extend to large-scale deployment. Red Hat will give you upgrades, updates, and infrastructure uptime guarantees for your API services or any other open-source solutions you need. Rather than babysitting the API Management infrastructure, your teams can focus on improving applications that will contribute to the business and Amrita technologies will help you.

Benefits of Red Hat OpenShift API Management

With Open API management, you have all the features to run API-first applications and cloud-hosted application development with microservice architecture. These are the API manager, the API cast ,API gateway, and the Red Hat SSO on the highest level. These developers may define APIs, consume existing APIs, or use Open Shift API management. This will allow them to make their APIs accessible so other developers or partners can use them. Finally, they can deploy the APIs in production using this functionality of Open Shift API management.

API analytics​

As soon as it is in production, Open Shift API control allows to screen and offer insight into using the APIs. It will assist you in case your APIs are getting used, how they’re getting used, what demand looks like — and even whether the APIs are being abused. Understanding how your API is used is critical to help manipulate site visitors, anticipate provisioning wishes, and understand how your applications and APIs are used. Once more, all of this is right at your fingertips without having to commit employees to standing up or managing the provider and Amrita technologies will provide you all course details.

Single Sign-On -openshift​

The addition of Red Hat SSO means organizations can choose to use their systems (custom coding required) or use Red Hat SSO, which is included with Open Shift API Management. (Please note that the SSO example is provided for API management only and is not a complete SSO solution.)Developers do not need administrative privileges. To personally access the API, it’s just there and there. Instead of placing an additional burden on developers, organizations can retain the user’s permissions and permissions.

Red Hat open shift container platform​

These services integrate with Red Hat Open Shift Dedicated and Red Hat Open Shift platform Service for AWS, providing essential benefits to all teams deploying applications .The core services are managed by Red Hat, like Open Shift’s other managed services. This can help your organization reduce operating costs while accelerating the creation, deployment, and evaluation of cloud applications in an open hybrid cloud environment.

Streamlined developer experience in open shift​​

Developers can use the power and simplicity of three-tier API management across the platform. You can quickly develop APIs before serving them to internal and external clients and then publish them as part of your applications and services. It also provides all the features and benefits of using Kubernetes-based containers. Accelerate time to market with a ready-to-use development environment and help you achieve operational excellence through automated measurement and balancing rise.

Conclusion:​

Redhat is a powerful solution that eases the management of APIs in environments running open shifts. Due to its integrability aspect, security concern, and developer-oriented features, it is an ideal solution to help firms achieve successful API management in a container-based environment.

[glansa]

Red Hat open shift API Management

Red Hat open shift:​

Red Hat OpenShift is a powerful and popular containerization solution that simplifies the process of building, deploying, and managing containerized applications. Red Hat open shift containers & Kubernetes have become the chief enterprise Kubernetes programs available to businesses looking for a hybrid cloud framework to create highly efficient programs. We are expanding on that by introducing Red Hat OpenShift API Management, a service for both Red Hat OpenShift Dedicated and Red Hat OpenShift Service on AWS that would help accelerate time-to-value and lower the cost of building APIs-first microservices applications.

Red Hat’s managed cloud services portfolio includes Red Hat OpenShift API Management, which helps in development rather than establishing the infrastructure required for APIs. Your development and operations team should be focusing on something other than the infrastructure of an API Management Service because it has some advantages for an organisation.

What is Red Hat OpenShift API Management? ​

OpenShift API Management is an on-demand solution hosted on Red Hat 3scale (API Management), with integrated sign-on authentication provided by Red Hat SSO. Instead of taking responsibility for running an API management solution on a large-scale deployment, it allows organisations to use API management as part of any service that can integrate applications within their organisation.

It is a completely Red Hat-managed solution that handles all API security, developer onboarding, program management, and analysis. It is ideal for companies that have used the 3scale.net SaaS offering and would like to extend to large-scale deployment. Red Hat will give you upgrades, updates, and infrastructure uptime guarantees for your API services or any other open-source solutions you need. Rather than babysitting the API Management infrastructure, your teams can focus on improving applications that will contribute to the business and Amrita technologies will help you.

Benefits of Red Hat OpenShift API Management

With Open API management, you have all the features to run API-first applications and cloud-hosted application development with microservice architecture. These are the API manager, the API cast ,API gateway, and the Red Hat SSO on the highest level. These developers may define APIs, consume existing APIs, or use Open Shift API management. This will allow them to make their APIs accessible so other developers or partners can use them. Finally, they can deploy the APIs in production using this functionality of Open Shift API management.

API analytics​

As soon as it is in production, Open Shift API control allows to screen and offer insight into using the APIs. It will assist you in case your APIs are getting used, how they’re getting used, what demand looks like — and even whether the APIs are being abused. Understanding how your API is used is critical to help manipulate site visitors, anticipate provisioning wishes, and understand how your applications and APIs are used. Once more, all of this is right at your fingertips without having to commit employees to standing up or managing the provider and Amrita technologies will provide you all course details.

Single Sign-On -openshift​

The addition of Red Hat SSO means organizations can choose to use their systems (custom coding required) or use Red Hat SSO, which is included with Open Shift API Management. (Please note that the SSO example is provided for API management only and is not a complete SSO solution.)Developers do not need administrative privileges. To personally access the API, it’s just there and there. Instead of placing an additional burden on developers, organizations can retain the user’s permissions and permissions.

Red Hat open shift container platform​

These services integrate with Red Hat Open Shift Dedicated and Red Hat Open Shift platform Service for AWS, providing essential benefits to all teams deploying applications .The core services are managed by Red Hat, like Open Shift’s other managed services. This can help your organization reduce operating costs while accelerating the creation, deployment, and evaluation of cloud applications in an open hybrid cloud environment.

Streamlined developer experience in open shift​​

Developers can use the power and simplicity of three-tier API management across the platform. You can quickly develop APIs before serving them to internal and external clients and then publish them as part of your applications and services. It also provides all the features and benefits of using Kubernetes-based containers. Accelerate time to market with a ready-to-use development environment and help you achieve operational excellence through automated measurement and balancing rise.

Conclusion:​

Redhat is a powerful solution that eases the management of APIs in environments running open shifts. Due to its integrability aspect, security concern, and developer-oriented features, it is an ideal solution to help firms achieve successful API management in a container-based environment.

[raza102]

Decoding OpenStack vs. OpenShift: Unraveling the Cloud Puzzle

In the ever-evolving landscape of cloud computing, two prominent players, OpenStack and OpenShift, have emerged as key solutions for organizations seeking efficient and scalable cloud infrastructure. Understanding the nuances of these platforms is crucial for businesses looking to optimize their cloud strategy.

OpenStack: Foundation of Cloud Infrastructure

OpenStack serves as a robust open-source cloud computing platform designed to provide infrastructure-as-a-service (IaaS). It acts as the foundation for creating and managing public and private clouds, offering a comprehensive set of services, including compute, storage, and networking. OpenStack is highly customizable, allowing organizations to tailor their cloud environment to specific needs.

With OpenStack, businesses gain flexibility and control over their infrastructure, enabling them to build and manage cloud resources at scale. Its modular architecture ensures compatibility with various hardware and software components, fostering interoperability across diverse environments. OpenStack is particularly beneficial for enterprises with complex requirements and a desire for a high level of customization.

OpenShift: Empowering Containerized Applications

On the other hand, OpenShift focuses on container orchestration and application development within a cloud-native environment. Developed by Red Hat, OpenShift builds upon Kubernetes, the popular container orchestration platform, to streamline the deployment, scaling, and management of containerized applications.

OpenShift simplifies the development and deployment of applications by providing a platform that supports the entire application lifecycle. It offers tools for building, testing, and deploying containerized applications, making it an ideal choice for organizations embracing microservices and containerization. OpenShift's developer-friendly approach allows teams to accelerate application development without compromising on scalability or reliability.

Differentiating Factors

While both OpenStack and OpenShift contribute to cloud computing, they cater to distinct aspects of the cloud ecosystem. OpenStack primarily focuses on the infrastructure layer, providing the building blocks for cloud environments. In contrast, OpenShift operates at a higher level, addressing the needs of developers and application deployment.

Organizations often choose OpenStack when they require a flexible and customizable infrastructure, especially for resource-intensive workloads. OpenShift, on the other hand, is preferred by those looking to streamline the development and deployment of containerized applications, fostering agility and scalability.

In conclusion, decoding the OpenStack vs. OpenShift dilemma involves understanding their specific roles within the cloud landscape. OpenStack empowers organizations to build and manage infrastructure, while OpenShift caters to the needs of developers and accelerates application deployment. By aligning their cloud strategy with the unique strengths of these platforms, businesses can unlock the full potential of cloud computing in their operations.

[amritatechnologies]

Red Hat OpenShift

Learn to build and manage containers for deployment on a Kubernetes and Red Hat OpenShift cluster.

Course Overview:

Red Hat OpenShift I: Containers & Kubernetes (DO180) helps you build core knowledge in managing containers through hands-on experience with containers, Kubernetes, and the Red Hat® OpenShift® Container Platform. These skills are needed for multiple roles, including developers, administrators, and site reliability engineers. This course is based on Red Hat OpenShift Container Platform 4.5.

Audience for this course:

Developers who wish to containerize software applications

Administrators who are new to container technology and container orchestration

Architects who are considering using container technologies in software architectures

Site reliability engineers who are considering using Kubernetes and Red Hat OpenShift

Prerequisites for this course:

Be able to use a Linux terminal session, issue operating system commands, and be familiar with shell scripting

Have experience with web application architectures and their corresponding technologies

Being a Red Hat Certified System Administrator (RHCSA®) is recommended, but not required

https://primetime.bluejeans.com/a2m/register/tvfkdeex

[computingpostcom]

Kubernetes is a free and open-source orchestration tool that has been highly adopted in modern software development. It allows one to automate, scale and manage the application deployments. Normally, applications are run in containers, with the workloads distributed across the cluster. Containers make use of the microservices architecture, where applications are immutable, portable, and optimized for resource usage. Kubernetes has several distributions that include: OpenShift: this is a Kubernetes distribution developed by RedHat. It can be run both on-premise and in the cloud. Google Kubernetes Engine: This is a simple and flexible Kubernetes distribution that runs on Google Cloud. Azure Kubernetes Service: This is a cloud-only Kubernetes distribution for the Azure cloud Rancher: This Kubernetes distribution has a key focus on multi-cluster Kubernetes deployments. This distribution is similar to OpenShift but it integrates Kubernetes with several other tools. Canonical Kubernetes: This Kubernetes distribution is developed by the Canonical company(The company that develops Ubuntu Linux). It is an umbrella for two CNF-certified Kubernetes distributions, MicroK8s and Charmed Kubernetes. It can be run both on-premise or in the cloud. In this guide, we will be learning how to install MicroK8s Kubernetes on Rocky Linux 9 / AlmaLinux 9. MicroK8s is a powerful and lightweight enterprise-grade Kubernetes distribution. It has a small disk and memory footprint but still offers innumerable add-ons that include Knative, Cilium, Istio, Grafana e.t.c This is the fastest multi-node Kubernetes that can work on Windows, Linux, and Mac systems. Microk8s can be used to reduce the complexity and time involved when deploying a Kubernetes cluster. Microk8s is preferred due to the following reasons: Simplicity: it is simple to install and manage. It has a single-package install with all the dependencies bundled. Secure: Updates are provided for all the security issues and can be applied immediately or scheduled as per your maintenance cycle. Small: This is the smallest Kubernetes distro that can be installed on a laptop or home workstation. It is compatible with Amazon EKS, Google GKE, and Azure AKS, when it is run on Ubuntu. Comprehensive: it includes an innumerable collection of manifests that are used for common Kubernetes capabilities such as Ingress, DNS, Dashboard, Clustering, Monitoring, and updates to the latest Kubernetes version e.t.c Current: It tracts the upstream and releases beta, RC, and final bits the same day as upstream K8s. Now let’s plunge in! Step 1 – Install Snapd on Rocky Linux 9 / AlmaLinux 9 Microk8s is a snap package and so snapd is required on the Rocky Linux 9 / AlmaLinux 9 system. The below commands can be used to install snapd on Rocky Linux 9 / AlmaLinux 9. Enable the EPEL repository. sudo dnf install epel-release Install snapd: sudo dnf install snapd Once installed, you need to create a symbolic link for classic snap support. sudo ln -s /var/lib/snapd/snap /snap Export the snaps $PATH. echo 'export PATH=$PATH:/var/lib/snapd/snap/bin' | sudo tee -a /etc/profile.d/snap.sh source /etc/profile.d/snap.sh Start and enable the service: sudo systemctl enable --now snapd.socket Verify if the service is running: $ systemctl status snapd.socket ● snapd.socket - Socket activation for snappy daemon Loaded: loaded (/usr/lib/systemd/system/snapd.socket; enabled; vendor preset: disabled) Active: active (listening) since Tue 2022-07-26 09:58:46 CEST; 7s ago Until: Tue 2022-07-26 09:58:46 CEST; 7s ago Triggers: ● snapd.service Listen: /run/snapd.socket (Stream) /run/snapd-snap.socket (Stream) Tasks: 0 (limit: 23441) Memory: 0B CPU: 324us CGroup: /system.slice/snapd.socket Set SELinux in permissive mode: sudo setenforce 0 sudo sed -i 's/^SELINUX=.*/SELINUX=permissive/g' /etc/selinux/config Step 2 – Install Microk8s on Rocky Linux 9 / AlmaLinux 9

Once Snapd has been installed, you can easily install Microk8s by issuing the command: $ sudo snap install microk8s --classic 2022-07-26T10:00:17+02:00 INFO Waiting for automatic snapd restart... microk8s (1.24/stable) v1.24.3 from Canonical✓ installed To be able to execute the commands smoothly, you need to set the below permissions: sudo usermod -a -G microk8s $USER sudo chown -f -R $USER ~/.kube For the changes to apply, run the command: newgrp microk8s Now verify the installation by checking the Microk8s status $ microk8s status microk8s is running high-availability: no datastore master nodes: 127.0.0.1:19001 datastore standby nodes: none addons: enabled: ha-cluster # (core) Configure high availability on the current node disabled: community # (core) The community addons repository dashboard # (core) The Kubernetes dashboard dns # (core) CoreDNS gpu # (core) Automatic enablement of Nvidia CUDA helm # (core) Helm 2 - the package manager for Kubernetes helm3 # (core) Helm 3 - Kubernetes package manager host-access # (core) Allow Pods connecting to Host services smoothly hostpath-storage # (core) Storage class; allocates storage from host directory ..... Get the available nodes: $ microk8s kubectl get nodes NAME STATUS ROLES AGE VERSION master Ready 3m38s v1.24.3-2+63243a96d1c393 Step 3 – Install and Configure kubectl for MicroK8s Microk8s comes with its own kubectl version to avoid interference with any version available on the system. This is used on the terminal as: microk8s kubectl However, Microk8s can be configured to work with your host’s kubectl. First, obtain the Mikrok8s configs using the command: $ microk8s config apiVersion: v1 clusters: - cluster: certificate-authority-data: LS0tLS1CRUdJTiBDRVJUSUZJQ0FURS0tLS0tCk1JSUREekNDQWZlZ0F3SUJBZ0lVWlZURndTSVFhOU13Rm1VdmR1S09pM0ErY3hvd0RRWUpLb1pJaHZjTkFRRUwKQlFBd0Z6... server: https://192.168.205.12:16443 name: microk8s-cluster contexts: - context: cluster: microk8s-cluster user: admin name: microk8s current-context: microk8s ...... Install kubectl on Rocky Linux 9 / AlmaLinux 9 using the command: curl -LO https://storage.googleapis.com/kubernetes-release/release/`curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt`/bin/linux/amd64/kubectl sudo chmod +x kubectl sudo mv kubectl /usr/local/bin/ Generate the required config: cd $HOME microk8s config > ~/.kube/config Get the available nodes: $ kubectl get nodes NAME STATUS ROLES AGE VERSION master Ready 5m35s v1.24.3-2+63243a96d1c393 Step 4 – Add Nodes to the Microk8s Cluster For improved performance and high availability, you can add nodes to the Kubernetes cluster. On the master node, allow the required ports through the firewall: sudo firewall-cmd --add-port=25000/tcp,16443/tcp,12379/tcp,10250/tcp,10255/tcp,10257/tcp,10259/tcp --permanent sudo firewall-cmd --reload Also, generate the command to be used by the nodes to join the cluster; $ microk8s add-node microk8s join 192.168.205.12:25000/17244dd7c3c8068753fe8799cf72f2ac/976e1522f4b6 Use the '--worker' flag to join a node as a worker not running the control plane, eg: microk8s join 192.168.205.12:25000/17244dd7c3c8068753fe8799cf72f2ac/976e1522f4b6 --worker If the node you are adding is not reachable through the default interface you can use one of the following: microk8s join 192.168.205.12:25000/17244dd7c3c8068753fe8799cf72f2ac/976e1522f4b6 Install and configure Microk8s on the Nodes You need to install Microk8s on the nodes just as we did in steps 1 and 2. After installing Microk8s on the nodes, run the following commands: export OPENSSL_CONF=/var/lib/snapd/snap/microk8s/current/etc/ssl/openssl.cnf sudo firewall-cmd --add-port=25000/tcp,10250/tcp,10255/tcp --permanent

sudo firewall-cmd --reload Now use the generated command on the master to join the nodes to the Microk8s cluster. $ microk8s join 192.168.205.12:25000/17244dd7c3c8068753fe8799cf72f2ac/976e1522f4b6 --worker Contacting cluster at 192.168.205.12 The node has joined the cluster and will appear in the nodes list in a few seconds. Currently this worker node is configured with the following kubernetes API server endpoints: - 192.168.205.12 and port 16443, this is the cluster node contacted during the join operation. If the above endpoints are incorrect, incomplete or if the API servers are behind a loadbalancer please update /var/snap/microk8s/current/args/traefik/provider.yaml Once added, check the available nodes: $ kubectl get nodes NAME STATUS ROLES AGE VERSION master Ready 41m v1.24.3-2+63243a96d1c393 node1 Ready 7m52s v1.24.3-2+63243a96d1c393 To remove a node from a cluster, run the command below on the node: microk8s leave Step 5 – Deploy an Application with Microk8s Deploying an application in Microk8s is similar to other Kubernetes distros. To demonstrate this, we will deploy the Nginx application as shown: $ kubectl create deployment webserver --image=nginx deployment.apps/webserver created Verify the deployment: $ kubectl get pods NAME READY STATUS RESTARTS AGE webserver-566b9f9975-cwck4 1/1 Running 0 28s Step 6 – Deploy Kubernetes Services on Microk8s For the deployed application to be accessible, we will expose our created pod using NodePort as shown: $ kubectl expose deployment webserver --type="NodePort" --port 80 service/webserver exposed Get the service port: $ kubectl get svc webserver NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE webserver NodePort 10.152.183.89 80:30281/TCP 29s Try accessing the application using the exposed port via the web. Step 7 – Scaling applications on Microk8s Scaling is defined as creating replications on pods/deployments for high availability. This feature is highly embraced in Kubernetes, allowing it to handle as many requests as possible. To create replicas, use the command with the syntax below: $ kubectl scale deployment webserver --replicas=4 deployment.apps/webserver scaled Get the pods: $ kubectl get pods NAME READY STATUS RESTARTS AGE webserver-566b9f9975-cwck4 1/1 Running 0 8m40s webserver-566b9f9975-ts2rz 1/1 Running 0 28s webserver-566b9f9975-t656s 1/1 Running 0 28s webserver-566b9f9975-7z6zq 1/1 Running 0 28s It is that simple! Step 8 – Enabling the microk8s Dashboard The dashboard provides an easy way to manage the Kubernetes cluster. Since it is an add-on, we need to enable it by issuing the command: $ microk8s enable dashboard dns Infer repository core for addon dashboard Infer repository core for addon dns Enabling Kubernetes Dashboard Infer repository core for addon metrics-server Enabling Metrics-Server serviceaccount/metrics-server created clusterrole.rbac.authorization.k8s.io/system:aggregated-metrics-reader created clusterrole.rbac.authorization.k8s.io/system:metrics-server created rolebinding.rbac.authorization.k8s.io/metrics-server-auth-reader created clusterrolebinding.rbac.authorization.k8s.io/metrics-server:system:auth-delegator created ...... Create the token to be used to access the dashboard. kubectl create token default Verify this: $ kubectl get services -n kube-system NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE metrics-server ClusterIP 10.152.183.200 443/TCP 77s kubernetes-dashboard ClusterIP 10.152.183.116 443/TCP 58s dashboard-metrics-scraper ClusterIP 10.152.183.35 8000/TCP 58s kube-dns ClusterIP 10.152.183.10 53/UDP,53/TCP,9153/TCP 53

Allow the port(10443) through the firewall: sudo firewall-cmd --permanent --add-port=10443/tcp sudo firewall-cmd --reload Now forward the traffic to the local port(10443) using the command: kubectl port-forward -n kube-system service/kubernetes-dashboard --address 0.0.0.0 10443:443 Now access the dashboard using the URL https://127.0.0.1:10443. In some browsers such as chrome, you may find an error with invalid certificates when accessing the dashboard remotely. On Firefox, proceed as shown Provide the generated token to sign in. On successful login, you will see the Microk8s dashboard below. From the above dashboard, you can easily manage your Kubernetes cluster. Step 9 – Enable In-built storage on Microk8s Microk8s comes with an in-built storage addon that allows quick creation of PVCs. To enable and make this storage available to use by pods, execute the below commands: export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/lib64" microk8s enable hostpath-storage Once enabled, verify if the hostpath provisioned has been created as a pod. $ kubectl -n kube-system get pods NAME READY STATUS RESTARTS AGE calico-kube-controllers-7f85f9c7b9-v7lk5 1/1 Running 0 3h42m metrics-server-5f8f64cb86-82nn2 1/1 Running 1 (165m ago) 165m calico-node-hljcb 1/1 Running 0 3h13m calico-node-sjzd2 1/1 Running 0 3h9m coredns-66bcf65bb8-m6x44 1/1 Running 0 163m dashboard-metrics-scraper-6b6f796c8d-scwtx 1/1 Running 0 163m kubernetes-dashboard-765646474b-256qb 1/1 Running 0 163m hostpath-provisioner-f57964d5f-sh4wj 1/1 Running 0 24s Also, confirm that a storage class has been created: $ kubectl get sc NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE microk8s-hostpath (default) microk8s.io/hostpath Delete WaitForFirstConsumer false 83s Now we can use the storage class above to create PVCs. Create a Persistent Volume To demonstrate if the storage class is working properly, create a PV using it. $ vim sample-pv.yml apiVersion: v1 kind: PersistentVolume metadata: name: sampe-pv spec: # Here we are asking to use our custom storage class storageClassName: microk8s-hostpath capacity: storage: 5Gi accessModes: - ReadWriteOnce hostPath: # Should be created upfront path: '/data/demo' Create the hostpath with the required permissions. sudo mkdir -p /data/demo sudo chmod 777 /data/demo sudo chcon -Rt svirt_sandbox_file_t /data/demo Create the PV: kubectl create -f sample-pv.yml Verify the creation: $ kubectl get pv NAME CAPACITY ACCESS MODES RECLAIM POLICY STATUS CLAIM STORAGECLASS REASON AGE sampe-pv 5Gi RWO Retain Available microk8s-hostpath 7s Create a Persistent Volume Claim Once the PV has been created, now create the PVC using the StorageClass: vim sample-pvc.yml Add the below line to the file: apiVersion: v1 kind: PersistentVolumeClaim metadata: name: my-pvc namespace: default spec: # Once again our custom storage class here storageClassName: microk8s-hostpath accessModes: - ReadWriteOnce resources: requests: storage: 5Gi Apply the manifest: kubectl create -f sample-pvc.yml Verify the creation: $ kubectl get pvc NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE my-pvc Pending microk8s-hostpath 13s Deploy an application that uses the PVC. $ vim pod.yml apiVersion: v1 kind: Pod metadata: name: task-pv-pod spec: volumes: - name: task-pv-storage persistentVolumeClaim:

claimName: my-pvc containers: - name: task-pv-container image: nginx ports: - containerPort: 80 name: "http-server" volumeMounts: - mountPath: "/usr/share/nginx/html" name: task-pv-storage Apply the manifest: kubectl create -f pod.yml Now verify if the PVC is bound: $ kubectl get pv NAME CAPACITY ACCESS MODES RECLAIM POLICY STATUS CLAIM STORAGECLASS REASON AGE sampe-pv 5Gi RWO Retain Bound default/my-pvc microk8s-hostpath 7m23s $ kubectl get pvc NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE my-pvc Bound sampe-pv 5Gi RWO microk8s-hostpath 98s Step 10 – Enable Logging With Prometheus and Grafana Microk8s has the Prometheus add-on that can be enabled. This tool offers visualization of logs through the Grafana interface. To enable the add-on, execute: $ microk8s enable prometheus Infer repository core for addon prometheus Adding argument --authentication-token-webhook to nodes. Configuring node 192.168.205.13 Restarting nodes. Configuring node 192.168.205.13 Infer repository core for addon dns Addon core/dns is already enabled ....... After a few minutes, verify that the required pods are up: $ kubectl get pods -n monitoring NAME READY STATUS RESTARTS AGE prometheus-adapter-85455b9f55-w975k 1/1 Running 0 89s node-exporter-jnmmk 2/2 Running 0 89s grafana-789464df6b-kt5hr 1/1 Running 0 89s prometheus-adapter-85455b9f55-2g9rs 1/1 Running 0 89s blackbox-exporter-84c68b59b8-5lkw4 3/3 Running 0 89s prometheus-k8s-0 2/2 Running 1 (43s ago) 77s node-exporter-dzj66 2/2 Running 0 89s prometheus-operator-65cdb77c59-gfk4v 2/2 Running 0 89s kube-state-metrics-55b87f58f6-m6rnv 3/3 Running 0 89s alertmanager-main-0 2/2 Running 0 78s To access the Prometheus and Grafana services, you need to forward them: $ kubectl get services -n monitoring NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE prometheus-operator ClusterIP None 8443/TCP 2m31s alertmanager-main ClusterIP 10.152.183.136 9093/TCP 2m22s blackbox-exporter ClusterIP 10.152.183.174 9115/TCP,19115/TCP 2m21s grafana ClusterIP 10.152.183.248 3000/TCP 2m20s kube-state-metrics ClusterIP None 8443/TCP,9443/TCP 2m20s node-exporter ClusterIP None 9100/TCP 2m20s prometheus-adapter ClusterIP 10.152.183.173 443/TCP 2m20s prometheus-k8s ClusterIP 10.152.183.201 9090/TCP 2m19s alertmanager-operated ClusterIP None 9093/TCP,9094/TCP,9094/UDP 93s prometheus-operated ClusterIP None 9090/TCP 93s Allow the ports intended to be used through the firewall: sudo firewall-cmd --add-port=9090,3000/tcp --permanent sudo firewall-cmd --reload Now expose the ports: kubectl port-forward -n monitoring service/prometheus-k8s --address 0.0.0.0 9090:9090 Access the Prometheus using the URL http://IP_Address:9090 For Grafana, you also need to expose the port: kubectl port-forward -n monitoring service/grafana --address 0.0.0.0 3000:3000 Now access the service using the URL http://IP_Address:3000 Login with the default credentials: username=admin Password=admin Once logged in, change the password.

Now access the dashboard and visualize graphs. Navigate to Dashboards-> Manage-> Default and select the dashboard to load. For Kubernetes API For the Kubernetes Namespace Networking Final Thoughts That marks the end of this detailed guide on how to install MicroK8s Kubernetes on Rocky Linux 9 / AlmaLinux 9. You are also equipped with the required knowledge on how to use Microk8s to set up and manage a Kubernetes cluster.

[codecraftshop]

Overview of openshift online cluster in detail

OpenShift Online Cluster is a cloud-based platform for deploying and managing containerized applications. It is built on top of Kubernetes and provides a range of additional features and tools to help you develop, deploy, and manage your applications with ease. Here is a more detailed overview of the key features of OpenShift Online Cluster: Easy Deployment: OpenShift provides a web-based…

[qcs01]

The Future of Container Platforms: Where is OpenShift Heading?

Introduction

The container landscape has evolved significantly over the past few years, and Red Hat OpenShift has been at the forefront of this transformation. As organizations increasingly adopt containerization to enhance their DevOps practices and streamline application deployment, it's crucial to stay informed about where platforms like OpenShift are heading. In this post, we'll explore the future developments and trends in OpenShift, providing insights into how it's shaping the future of container platforms.

The Evolution of OpenShift

Red Hat OpenShift has grown from a simple Platform-as-a-Service (PaaS) solution to a comprehensive Kubernetes-based container platform. Its robust features, such as integrated CI/CD pipelines, enhanced security, and scalability, have made it a preferred choice for enterprises. But what does the future hold for OpenShift?

Trends Shaping the Future of OpenShift

Serverless Architectures

OpenShift is poised to embrace serverless computing more deeply. With the rise of Function-as-a-Service (FaaS) models, OpenShift will likely integrate serverless capabilities, allowing developers to run code without managing underlying infrastructure.

AI and Machine Learning Integration

As AI and ML continue to dominate the tech landscape, OpenShift is expected to offer enhanced support for these workloads. This includes better integration with data science tools and frameworks, facilitating smoother deployment and scaling of AI/ML models.

Multi-Cloud and Hybrid Cloud Deployments

OpenShift's flexibility in supporting multi-cloud and hybrid cloud environments will become even more critical. Expect improvements in interoperability and management across different cloud providers, enabling seamless application deployment and management.

Enhanced Security Features

With increasing cyber threats, security remains a top priority. OpenShift will continue to strengthen its security features, including advanced monitoring, threat detection, and automated compliance checks, ensuring robust protection for containerized applications.

Edge Computing

The growth of IoT and edge computing will drive OpenShift towards better support for edge deployments. This includes lightweight versions of OpenShift that can run efficiently on edge devices, bringing computing power closer to data sources.

Key Developments to Watch

OpenShift Virtualization

Combining containers and virtual machines, OpenShift Virtualization allows organizations to modernize legacy applications while leveraging container benefits. This hybrid approach will gain traction, providing more flexibility in managing workloads.

Operator Framework Enhancements

Operators have simplified application management on Kubernetes. Future enhancements to the Operator Framework will make it even easier to deploy, manage, and scale applications on OpenShift.

Developer Experience Improvements

OpenShift aims to enhance the developer experience by integrating more tools and features that simplify the development process. This includes better IDE support, streamlined workflows, and improved debugging tools.

Latest Updates and Features in OpenShift [Version]

Introduction

Staying updated with the latest features in OpenShift is crucial for leveraging its full potential. In this section, we'll provide an overview of the new features introduced in the latest OpenShift release, highlighting how they can benefit your organization.

Key Features of OpenShift [Version]

Enhanced Developer Tools

The latest release introduces new and improved developer tools, including better support for popular IDEs, enhanced CI/CD pipelines, and integrated debugging capabilities. These tools streamline the development process, making it easier for developers to build, test, and deploy applications.

Advanced Security Features

Security enhancements in this release include improved vulnerability scanning, automated compliance checks, and enhanced encryption for data in transit and at rest. These features ensure that your containerized applications remain secure and compliant with industry standards.

Improved Performance and Scalability

The new release brings performance optimizations that reduce resource consumption and improve application response times. Additionally, scalability improvements make it easier to manage large-scale deployments, ensuring your applications can handle increased workloads.

Expanded Ecosystem Integration

OpenShift [Version] offers better integration with a wider range of third-party tools and services. This includes enhanced support for monitoring and logging tools, as well as improved interoperability with other cloud platforms, making it easier to build and manage multi-cloud environments.

User Experience Enhancements

The latest version focuses on improving the user experience with a more intuitive interface, streamlined workflows, and better documentation. These enhancements make it easier for both new and experienced users to navigate and utilize OpenShift effectively.

Conclusion

The future of Red Hat OpenShift is bright, with exciting developments and trends on the horizon. By staying informed about these trends and leveraging the new features in the latest OpenShift release, your organization can stay ahead in the rapidly evolving container landscape. Embrace these innovations to optimize your containerized workloads and drive your digital transformation efforts.

For more details click www.hawkstack.com 

[govindhtech]

VMware workloads to AWS: Optimize, migrate and modernize

Optimization, migration, and modernization of VMware workloads to AWS.

Based on strategy and results, IBM clients’ transformation journeys are unique. Businesses must ensure that its infrastructure supports strategic goals like cost optimization, performance improvement, and cloud adoption as technology and business needs change.

After Broadcom acquired VMware, VMware clients confront transformational decisions in a shifting marketplace. IBM Consulting understands. IBM Consulting can assist VMware clients succeed through a variety of hybrid cloud transformation pathways using its expertise. These include on-premises modernization, cloud modernization, containerization with cloud-native technologies, or a mix.

VMware Modernization Assessment is a Rapid Strategy and Assessment that explores VMware’s future paths to achieve business success and manage risk.

IBM Cloud For VMWare Regulated Workloads

IBM will discuss how IBM Consulting can help organizations who prefer AWS-based cloud-native solutions using AWS’s modern tools and cloud services in this blog.

AWS offers VMware a complete platform with cloud services, global infrastructure, and strong security. This method avoids hardware dependence, scalability issues, and high operational costs of on-premises infrastructure. Organizations can use AWS’s scalability, pay-as-you-go pricing, and wide range of services to construct VMware workloads to AWS.

Clients considering data centre (DC) exits want to cut costs and simplify operations while improving security, compliance, and innovation.

Data centre consolidation can be accelerated by moving from VMware to the cloud or hybrid. IBM Consulting provides data centre migration (DC exit), a comprehensive solution to help organizations efficiently and strategically migrate from their data centre infrastructure to their cloud of choice, including AWS. IBM’s generative AI and IBM–AWS collaborative investments enable scaled migration.

AWS Cloud migration scenarios

To build new capabilities, boost operational efficiency, and implement cloud-native architecture on AWS Cloud, enterprises can explore numerous scenarios to relocate and modernize VMware workloads to AWs:

Clients can move VMware VMs to AWS instances first. This requires rehosting apps on Amazon Elastic Compute Cloud (Amazon EC2) instances and maybe reconfiguring them for the cloud. After migration, organisations can modernise their applications to use AWS native services like Amazon RDS for database management, AWS Lambda for serverless computing, and Amazon S3 for scalable storage.

IBM’s container-first approach provides an end-to-end stack of solutions and services to satisfy modern organisations’ complex needs. From cloud infrastructure and AI to cybersecurity and data management, it covers it all. This product centres on ROSA and OpenShift Virtualization. These technologies demonstrate IBM’s commitment to flexible, scalable, and integrated business innovation and efficiency.

ROSA, EKS, and Amazon ECS on AWS Fargate may containerize workloads across the AWS Cloud to reduce vendor lock-in. Businesses can execute and manage containerized and virtual machine (VM) workloads on a single platform using Red Hat OpenShift virtualization.

Software as a service (SaaS): VMware applications can be migrated to AWS. The flexible, cost-effective, and efficient way to deliver software applications is SaaS.

Offered managed services: IBM is an AWS-certified MSP that can migrate VMware workloads to AWS managed services. AWS managed services automate and simplify cloud management. IBM services help organizations adapt and operate in the AWS Cloud with best practices, security, and compliance. Managed services let companies focus on their core business while IBM manages cloud infrastructure.

IBM Migration Factory speeds cloud migration

IBM understands AWS technologies from years of collaboration and expertise, enabling enterprise integration and optimisation. IBM provides a tailored strategy to meet clients’ needs.

AWS Migration Factory, based on IBM Garage Methodology, is a unique app modernization engagement approach from IBM Consulting. This squad-based, workstream-centric strategy uses gen AI and automation to scale rapid transformation.

The structured and efficient AWS Migration Factory framework migrates huge VMware workloads to AWS. Organizations may reduce risks, costs, and time for cloud migration by using automated technologies, best practices, and a phased strategy. The manufacturing speeds client engagements with cooperative incentive programmes.

IBM thoroughly evaluates the client’s VMware setup before migrating. This includes workload dependencies, performance metrics, and migration needs. Based on the assessment, a complete migration strategy should include timetables, resource allocation, and risk mitigation. The IBM Consulting Cloud Accelerator, IBM Consulting Delivery Curator, IBM Consulting developer experience platform, and IBM Consulting AIOps solutions help plan, design, and execute end-to-end migration and modernization journeys.

These assets are supported by IBM Delivery Central. Digitising and improving delivery procedures and providing real-time oversight, this end-to-end delivery execution platform transforms delivery. Powered by generative AI, these assets and assistants serve key personas’ consumption modes.

Other AWS tools and services for VMware workload migration include AWS Migration Hub. It accelerates and automates application migration to AWS, offering visibility, tracking, and coordination, incorporating AWS Application Migration Services.

IBM’s Generative-AI migration tools

IBM used Amazon Bedrock to create migration tools and assets. Using Amazon Bedrock and generative AI, this unique approach migrates applications and workloads to the cloud.

Service-based AI-powered discovery: Extracts crucial data from client data repositories to speed up application discovery.

Artificial intelligence-powered migration aid: Transforms natural language questions into SQL queries to retrieve application and server migration status from a centralised data lake (Delivery Curator) during migration.

Generative AI design assistant: Uses models like llama2 on Delivery Curator’s centralised data store and the design assistant to speed up design.

IBM helped a worldwide manufacturer move VMware workloads to AWS

Moving to AWS may save costs, scale, and innovate for companies. IBM assisted a worldwide consumer products manufacturer in migrating 400 applications to AWS in two years as part of its product strategy shift. To increase agility, scalability, and security, the customer moved to AWS.

The customer also needed to train personnel on new data handling techniques and the architectural transition. To achieve these goals, the customer moved their technology from on-premises to AWS, which improved business performance by 50% and saved up to 50% utilising Amazon RDS.

Read more on govindhtech.com

[trustwi]

Merlin project upgrade

MERLIN PROJECT UPGRADE SOFTWARE

MERLIN PROJECT UPGRADE CODE

MERLIN PROJECT UPGRADE LICENSE

MERLIN PROJECT UPGRADE CODE

This includes Integration into a CI/CD pipeline, and code modernization features like fixed to free conversion, native integration for Git based source control and application impact analysis at the fingertips of every developer. Merlin is a fully integrated and supported set of tools from IBM that include an IDE, and the additional plugins and tools to enable the IBM i developer to work in a modern manner. Users can add plugin and additional tools to RDi to move toward a modern development ecosystem. Q: What is the difference between Merlin and RDi?Ī: Rational Developer for i (RDi) is an IDE for creating new application or updating existing native ILE applications on IBM i. However, Merlin also includes many application modernization tools as well as CI/CD products. Both are equally important to the IBM i development community and will continue to be enhanced and supported. Developers now have a choice of workstation based development activities, RDi, or to use a browser, container-based option, Merlin.

MERLIN PROJECT UPGRADE SOFTWARE

The tools guide and assist software developers in the modernization of IBM i applications and development processes, allowing them to realize the value of a hybrid cloud and multi-platform DevOps implementation.Ī: No, this is an alternative to using RDi for code development and modernization. IBM i Merlin is a set of tools which run in OpenShift containers. Q: Does this product allow IBM i applications to run inside a container?Ī: No. Q: What kind of containers are supported? multi-architecture?Ī: Merlin is targeted for RedHat OpenShift containers running on power or x86.Ī:The debugger is a key part of a development environment and will be added to Merlin in the near term. Additionally, Rational Development Studio (5770-WDS) is required for the compilers so that source code can be compiled into object code.Ī: The IDE is leveraging RedHat Code Ready Workspaces, incorporating VS-Code compatible Eclipse Theia & Che for the core of the web based IDE. Q: Are there prerequisites needed for the IBM i environment?Ī: IBM i needs to be at IBM I 7.3 or more current with the latest HTTP PTF Group applied. For those clients with workload running in the Cloud already, it is a natural extension to add Merlin into an OpenShift environment also in the cloud. OpenShift could also reside in a Cloud instance, for example in IBM Cloud (IBM Power Virtual Servers) or in any cloud that supports OpenShift environments. The OpenShift environment can be located on a Power server. The price is $4500.00 per VPC.Ī: Yes, Merlin, the IBM Certified Container, runs in an OpenShift environment. Customers wishing to acquire entitlement to Merlin will order 1 VPC unit per developer, generating 1 codeready workspace for each developer.

MERLIN PROJECT UPGRADE LICENSE

Because Merlin runs inside the Redhat OpenShift Container Platform (OCP), Merlin uses the built-in license monitoring tool, based on VPC (Virtual Processor Core). Additionally, it integrates key modernization features such as converting fixed format RPG code into free format RPG code and application impact analyses.Ī: Merlin is priced per “developer”. Merlin aligns IBM i application development with the evolving standards around Jenkins, Git, and browser-based Theia IDE (Visual Studio Code compatible). It integrates the latest development and DevOps processes into a single product for an IBM i developer. Merlin is a new modern IBM i development and modernization environment. Merlin is acquired through IBM Passport Advantage and the IBM Entitled Registry as a Certified Container.Ī. Q: Is this a new Licensed Program Product (LPP)?Ī: It is a new member of the IBM i Portfolio of products, but it is not a traditional LPP.

[amritatechh]

Red Hat open shift API Management

Red Hat open shift:​

Red Hat OpenShift is a powerful and popular containerization solution that simplifies the process of building, deploying, and managing containerized applications. Red Hat open shift containers & Kubernetes have become the chief enterprise Kubernetes programs available to businesses looking for a hybrid cloud framework to create highly efficient programs. We are expanding on that by introducing Red Hat OpenShift API Management, a service for both Red Hat OpenShift Dedicated and Red Hat OpenShift Service on AWS that would help accelerate time-to-value and lower the cost of building APIs-first microservices applications.

Red Hat’s managed cloud services portfolio includes Red Hat OpenShift API Management, which helps in development rather than establishing the infrastructure required for APIs. Your development and operations team should be focusing on something other than the infrastructure of an API Management Service because it has some advantages for an organisation.

What is Red Hat OpenShift API Management? ​

OpenShift API Management is an on-demand solution hosted on Red Hat 3scale (API Management), with integrated sign-on authentication provided by Red Hat SSO. Instead of taking responsibility for running an API management solution on a large-scale deployment, it allows organisations to use API management as part of any service that can integrate applications within their organisation.

It is a completely Red Hat-managed solution that handles all API security, developer onboarding, program management, and analysis. It is ideal for companies that have used the 3scale.net SaaS offering and would like to extend to large-scale deployment. Red Hat will give you upgrades, updates, and infrastructure uptime guarantees for your API services or any other open-source solutions you need. Rather than babysitting the API Management infrastructure, your teams can focus on improving applications that will contribute to the business and Amrita technologies will help you.

Benefits of Red Hat OpenShift API Management

With Open API management, you have all the features to run API-first applications and cloud-hosted application development with microservice architecture. These are the API manager, the API cast ,API gateway, and the Red Hat SSO on the highest level. These developers may define APIs, consume existing APIs, or use Open Shift API management. This will allow them to make their APIs accessible so other developers or partners can use them. Finally, they can deploy the APIs in production using this functionality of Open Shift API management.

API analytics​

As soon as it is in production, Open Shift API control allows to screen and offer insight into using the APIs. It will assist you in case your APIs are getting used, how they’re getting used, what demand looks like — and even whether the APIs are being abused. Understanding how your API is used is critical to help manipulate site visitors, anticipate provisioning wishes, and understand how your applications and APIs are used. Once more, all of this is right at your fingertips without having to commit employees to standing up or managing the provider and Amrita technologies will provide you all course details.

Single Sign-On -openshift​

The addition of Red Hat SSO means organizations can choose to use their systems (custom coding required) or use Red Hat SSO, which is included with Open Shift API Management. (Please note that the SSO example is provided for API management only and is not a complete SSO solution.)Developers do not need administrative privileges. To personally access the API, it’s just there and there. Instead of placing an additional burden on developers, organizations can retain the user’s permissions and permissions.

Red Hat open shift container platform​

These services integrate with Red Hat Open Shift Dedicated and Red Hat Open Shift platform Service for AWS, providing essential benefits to all teams deploying applications .The core services are managed by Red Hat, like Open Shift’s other managed services. This can help your organization reduce operating costs while accelerating the creation, deployment, and evaluation of cloud applications in an open hybrid cloud environment.

Streamlined developer experience in open shift​​

Developers can use the power and simplicity of three-tier API management across the platform. You can quickly develop APIs before serving them to internal and external clients and then publish them as part of your applications and services. It also provides all the features and benefits of using Kubernetes-based containers. Accelerate time to market with a ready-to-use development environment and help you achieve operational excellence through automated measurement and balancing rise.

Conclusion:​

Redhat is a powerful solution that eases the management of APIs in environments running open shifts. Due to its integrability aspect, security concern, and developer-oriented features, it is an ideal solution to help firms achieve successful API management in a container-based environment.

[pinerstamp]

Luxcorerender reality 4.3

#LUXCORERENDER REALITY 4.3 FULL#

The reality is more nuanced, and the community had to work to get proper docker-compose support in Microcks for Podman. Advocates gave the impression that you could issue alias docker=podman and you would be good to go. Podman was advertised as a drop-in replacement for Docker. Although Docker is still the most popular container option for software packaging and installation, Podman is gaining traction. Developers who do not have corporate access to a cloud-native platform have used Docker Compose. You can deploy Microcks in a wide variety of cloud-native platforms, such as Kubernetes and Red Hat OpenShift. It can also assert that your API implementation conforms to your OpenAPI specifications.

#LUXCORERENDER REALITY 4.3 FULL#

It helps you cover your API’s full lifecycle by taking your OpenAPI specifications and generating live mocks from them. Microcks is a cloud-native API mocking and testing tool. Using Podman Compose with Microcks: A cloud-native API mocking and testing tool.Equinix open sourced the platform last May, and it was accepted as a CNCF sandbox project in November 2020. The platform's cloud-native and workflow-driven approach has been tested in production with the Equinix Metal automated bare metal service. Originally developed by Equinix, the Tinkerbell platform is a collection of microservices designed to help organizations transform static physical hardware into programmable digital infrastructure, regardless of manufacturer, processor architecture, internal components, or networking environment. The latest release comes with a new, next-gen, in-memory operating system installation environment the ability to share common workflow actions using the CNCF Artifact Hub support for Cluster API and out-of-the-box support from a long list of operating systems. The open-source bare metal provisioning platform known as Tinkerbell has been growing its feature set since it joined the Cloud Native Computing Foundation (CNCF) sandbox program a year ago, belying its diminutive name with sizeable new capabilities. Open-Source Bare Metal Provisioning Platform, Tinkerbell, Spreads Its Wings in the CNCF Sandbox.