#how to deploy application on openshift

[techblog-365]

CLOUD COMPUTING: A CONCEPT OF NEW ERA FOR DATA SCIENCE

Cloud Computing is the most interesting and evolving topic in computing in the recent decade. The concept of storing data or accessing software from another computer that you are not aware of seems to be confusing to many users. Most the people/organizations that use cloud computing on their daily basis claim that they do not understand the subject of cloud computing. But the concept of cloud computing is not as confusing as it sounds. Cloud Computing is a type of service where the computer resources are sent over a network. In simple words, the concept of cloud computing can be compared to the electricity supply that we daily use. We do not have to bother how the electricity is made and transported to our houses or we do not have to worry from where the electricity is coming from, all we do is just use it. The ideology behind the cloud computing is also the same: People/organizations can simply use it. This concept is a huge and major development of the decade in computing.

Cloud computing is a service that is provided to the user who can sit in one location and remotely access the data or software or program applications from another location. Usually, this process is done with the use of a web browser over a network i.e., in most cases over the internet. Nowadays browsers and the internet are easily usable on almost all the devices that people are using these days. If the user wants to access a file in his device and does not have the necessary software to access that file, then the user would take the help of cloud computing to access that file with the help of the internet.

Cloud computing provide over hundreds and thousands of services and one of the most used services of cloud computing is the cloud storage. All these services are accessible to the public throughout the globe and they do not require to have the software on their devices. The general public can access and utilize these services from the cloud with the help of the internet. These services will be free to an extent and then later the users will be billed for further usage. Few of the well-known cloud services that are drop box, Sugar Sync, Amazon Cloud Drive, Google Docs etc.

Finally, that the use of cloud services is not guaranteed let it be because of the technical problems or because the services go out of business. The example they have used is about the Mega upload, a service that was banned and closed by the government of U.S and the FBI for their illegal file sharing allegations. And due to this, they had to delete all the files in their storage and due to which the customers cannot get their files back from the storage.

Service Models Cloud Software as a Service Use the provider's applications running on a cloud infrastructure Accessible from various client devices through thin client interface such as a web browser Consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage

Google Apps, Microsoft Office 365, Petrosoft, Onlive, GT Nexus, Marketo, Casengo, TradeCard, Rally Software, Salesforce, ExactTarget and CallidusCloud

Cloud Platform as a Service Cloud providers deliver a computing platform, typically including operating system, programming language execution environment, database, and web server Application developers can develop and run their software solutions on a cloud platform without the cost and complexity of buying and managing the underlying hardware and software layers

AWS Elastic Beanstalk, Cloud Foundry, Heroku, Force.com, Engine Yard, Mendix, OpenShift, Google App Engine, AppScale, Windows Azure Cloud Services, OrangeScape and Jelastic.

Cloud Infrastructure as a Service Cloud provider offers processing, storage, networks, and other fundamental computing resources Consumer is able to deploy and run arbitrary software, which can include operating systems and applications Amazon EC2, Google Compute Engine, HP Cloud, Joyent, Linode, NaviSite, Rackspace, Windows Azure, ReadySpace Cloud Services, and Internap Agile

Deployment Models Private Cloud: Cloud infrastructure is operated solely for an organization Community Cloud : Shared by several organizations and supports a specific community that has shared concerns Public Cloud: Cloud infrastructure is made available to the general public Hybrid Cloud: Cloud infrastructure is a composition of two or more clouds

Advantages of Cloud Computing • Improved performance • Better performance for large programs • Unlimited storage capacity and computing power • Reduced software costs • Universal document access • Just computer with internet connection is required • Instant software updates • No need to pay for or download an upgrade

Disadvantages of Cloud Computing • Requires a constant Internet connection • Does not work well with low-speed connections • Even with a fast connection, web-based applications can sometimes be slower than accessing a similar software program on your desktop PC • Everything about the program, from the interface to the current document, has to be sent back and forth from your computer to the computers in the cloud

About Rang Technologies: Headquartered in New Jersey, Rang Technologies has dedicated over a decade delivering innovative solutions and best talent to help businesses get the most out of the latest technologies in their digital transformation journey. Read More...

[hawkstack]

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

[chloedecker0]

Top Container Management Tools You Need to Know in 2024

Containers and container management technology have transformed the way we build, deploy, and manage applications. We’ve successfully collected and stored a program and all its dependencies in containers, allowing it to execute reliably across several computing environments.

Some novices to programming may overlook container technology, yet this approach tackles the age-old issue of software functioning differently in production than in development. QKS Group reveals that Container Management Projected to Register a CAGR of 10.20% by 2028

Containers make application development and deployment easier and more efficient, and developers rely on them to complete tasks. However, with more containers comes greater responsibility, and container management software is up to the task.

We’ll review all you need to know about container management so you can utilize, organize, coordinate, and manage huge containers more effectively.

Download the sample report of Market Share: https://qksgroup.com/download-sample-form/market-share-container-management-2023-worldwide-5112 

What is Container Management?

Container management refers to the process of managing, scaling, and sustaining containerized applications across several environments. It incorporates container orchestration, which automates container deployment, networking, scaling, and lifecycle management using platforms such as Kubernetes. Effective container management guarantees that applications in the cloud or on-premises infrastructures use resources efficiently, have optimized processes, and are highly available.

How Does Container Management Work?

Container management begins with the development and setup of containers. Each container is pre-configured with all of the components required to execute an application. This guarantees that the application environment is constant throughout the various container deployment situations.

After you’ve constructed your containers, it’s time to focus on the orchestration. This entails automating container deployment and operation in order to manage container scheduling across a cluster of servers. This enables more informed decisions about where to run containers based on resource availability, limitations, and inter-container relationships.

Beyond that, your container management platform will manage scalability and load balancing. As the demand for an application change, these systems dynamically modify the number of active containers, scaling up at peak times and down during quieter moments. They also handle load balancing, which distributes incoming application traffic evenly among all containers.

Download the sample report of Market Forecast: https://qksgroup.com/download-sample-form/market-forecast-container-management-2024-2028-worldwide-4629 

Top Container Management Software

Docker

Docker is an open-source software platform that allows you to create, deploy, and manage virtualized application containers on your operating system.

The container contains all the application’s services or functions, as well as its libraries, configuration files, dependencies, and other components.

Apache Mesos

Apache Mesos is an open-source cluster management system and a control plane for effective distribution of computer resources across application delivery platforms known as frameworks.

Amazon Elastic Container Service (ECS)

Amazon ECS is a highly scalable container management platform that supports Docker containers and enables you to efficiently run applications on a controlled cluster of Amazon EC2 instances.

This makes it simple to manage containers as modular services for your applications, eliminating the need to install, administer, and customize your own cluster management infrastructure.

OpenShift

OpenShift is a container management tool developed by RedHat. Its architecture is built around Docker container packaging and a Kubernetes-based cluster management. It also brings together various topics related to application lifecycle management.

Kubernetes

Kubernetes, developed by Google, is the most widely used container management technology. It was provided to the Cloud Native Computing Foundation in 2015 and is now maintained by the Kubernetes community.

Kubernetes soon became a top choice for a standard cluster and container management platform because it was one of the first solutions and is also open source.

Containers are widely used in application development due to their benefits in terms of constant performance, portability, scalability, and resource efficiency. Containers allow developers to bundle programs and services, as well as all their dependencies, into a standardized isolated element that can function smoothly and consistently in a variety of computer environments, simplifying application deployment. The Container Management Market Share, 2023, Worldwide research and the Market Forecast: Container Management, 2024-2028, Worldwide report are critical for acquiring a complete understanding of these emerging threats.

This widespread usage of containerization raises the difficulty of managing many containers, which may be overcome by using container management systems. Container management systems on the market today allow users to generate and manage container images, as well as manage the container lifecycle. They guarantee that infrastructure resources are managed effectively and efficiently, and that they grow in response to user traffic. They also enable container monitoring for performance and faults, which are reported in the form of dashboards and infographics, allowing developers to quickly address any concerns.

Talk To Analyst: https://qksgroup.com/become-client 

Conclusion

Containerization frees you from the constraints of an operating system, allowing you to speed development and perhaps expand your user base, so it’s no surprise that it’s the technology underlying more than half of all apps. I hope the information in this post was sufficient to get you started with the appropriate containerization solution for your requirements.

[nitizsharmaglobaltech]

Enhancing Application Performance in Hybrid and Multi-Cloud Environments with Cisco ACI

1 . Introduction to Hybrid and Multi-Cloud Environments

As businesses adopt hybrid and multi-cloud environments, ensuring seamless application performance becomes a critical challenge. Managing network connectivity, security, and traffic optimization across diverse cloud platforms can lead to complexity and inefficiencies. 

Cisco ACI (Application Centric Infrastructure) simplifies this by providing an intent-based networking approach, enabling automation, centralized policy management, and real-time performance optimization. 

With Cisco ACI Training, IT professionals can master the skills needed to deploy, configure, and optimize ACI for enhanced application performance in multi-cloud environments. This blog explores how Cisco ACI enhances performance, security, and visibility across hybrid and multi-cloud architectures.

2 . The Role of Cisco ACI in Multi-Cloud Performance Optimization

Cisco ACI is a software-defined networking (SDN) solution that simplifies network operations and enhances application performance across multiple cloud environments. It enables organizations to achieve:

Seamless multi-cloud connectivity for smooth integration between on-premises and cloud environments.

Centralized policy enforcement to maintain consistent security and compliance.

Automated network operations that reduce manual errors and accelerate deployments.

Optimized traffic flow, improving application responsiveness with real-time telemetry.

3 . Application-Centric Policy Automation with ACI

Traditional networking approaches rely on static configurations, making policy enforcement difficult in dynamic multi-cloud environments. Cisco ACI adopts an application-centric model, where network policies are defined based on business intent rather than IP addresses or VLANs.

Key Benefits of ACI’s Policy Automation:

Application profiles ensure that policies move with workloads across environments.

Zero-touch provisioning automates network configuration and reduces deployment time.

Micro-segmentation enhances security by isolating applications based on trust levels.

Seamless API integration connects with VMware NSX, Kubernetes, OpenShift, and cloud-native services.

4 . Traffic Optimization and Load Balancing with ACI

Application performance in multi-cloud environments is often hindered by traffic congestion, latency, and inefficient load balancing. Cisco ACI enhances network efficiency through:

Dynamic traffic routing, ensuring optimal data flow based on real-time network conditions.

Adaptive load balancing, which distributes workloads across cloud regions to prevent bottlenecks.

Integration with cloud-native load balancers like AWS ALB, Azure Load Balancer, and F5 to enhance application performance.

5 . Network Visibility and Performance Monitoring

Visibility is a major challenge in hybrid and multi-cloud networks. Without real-time insights, organizations struggle to detect bottlenecks, security threats, and application slowdowns.

Cisco ACI’s Monitoring Capabilities:

Real-time telemetry and analytics to continuously track network and application performance.

Cisco Nexus Dashboard integration for centralized monitoring across cloud environments.

AI-driven anomaly detection that automatically identifies and mitigates network issues.

Proactive troubleshooting using automation to resolve potential disruptions before they impact users.

6 . Security Considerations for Hybrid and Multi-Cloud ACI Deployments

Multi-cloud environments are prone to security challenges such as data breaches, misconfigurations, and compliance risks. Cisco ACI strengthens security with:

Micro-segmentation that restricts communication between workloads to limit attack surfaces.

A zero-trust security model enforcing strict access controls to prevent unauthorized access.

End-to-end encryption to protect data in transit across hybrid and multi-cloud networks.

AI-powered threat detection that continuously monitors for anomalies and potential attacks.

7 . Case Studies: Real-World Use Cases of ACI in Multi-Cloud Environments

1. Financial Institution

Challenge: Lack of consistent security policies across multi-cloud platforms.

Solution: Implemented Cisco ACI for unified security and network automation.

Result: 40% reduction in security incidents and improved compliance adherence.

2. E-Commerce Retailer

Challenge: High latency affecting customer experience during peak sales.

Solution: Used Cisco ACI to optimize traffic routing and load balancing.

Result: 30% improvement in transaction processing speeds.

8 . Best Practices for Deploying Cisco ACI in Hybrid and Multi-Cloud Networks

To maximize the benefits of Cisco ACI, organizations should follow these best practices:

Standardize network policies to ensure security and compliance across cloud platforms.

Leverage API automation to integrate ACI with third-party cloud services and DevOps tools.

Utilize direct cloud interconnects like AWS Direct Connect and Azure ExpressRoute for improved connectivity.

Monitor continuously using real-time telemetry and AI-driven analytics for proactive network management.

Regularly update security policies to adapt to evolving threats and compliance requirements.

9 . Future Trends: The Evolution of ACI in Multi-Cloud Networking

Cisco ACI is continuously evolving to adapt to emerging cloud and networking trends:

AI-driven automation will further optimize network performance and security.

Increased focus on container networking with enhanced support for Kubernetes and microservices architectures.

Advanced security integrations with improved compliance frameworks and automated threat detection.

Seamless multi-cloud orchestration through improved API-driven integrations with public cloud providers.

Conclusion

Cisco ACI plays a vital role in optimizing application performance in hybrid and multi-cloud environments by providing centralized policy control, traffic optimization, automation, and robust security.

 Its intent-based networking approach ensures seamless connectivity, reduced latency, and improved scalability across multiple cloud platforms. By implementing best practices and leveraging AI-driven automation, businesses can enhance network efficiency while maintaining security and compliance.

 For professionals looking to master these capabilities, enrolling in a Cisco ACI course can provide in-depth knowledge and hands-on expertise to deploy and manage ACI effectively in complex cloud environments.

[qcs01]

Top Trends in Enterprise IT Backed by Red Hat

In the ever-evolving landscape of enterprise IT, staying ahead requires not just innovation but also a partner that enables adaptability and resilience. Red Hat, a leader in open-source solutions, empowers businesses to embrace emerging trends with confidence. Let’s explore the top enterprise IT trends that are being shaped and supported by Red Hat’s robust ecosystem.

1. Hybrid Cloud Dominance

As enterprises navigate complex IT ecosystems, the hybrid cloud model continues to gain traction. Red Hat OpenShift and Red Hat Enterprise Linux (RHEL) are pivotal in enabling businesses to deploy, manage, and scale workloads seamlessly across on-premises, private, and public cloud environments.

Why It Matters:

Flexibility in workload placement.

Unified management and enhanced security.

Red Hat’s Role: With tools like Red Hat Advanced Cluster Management, organizations gain visibility and control across multiple clusters, ensuring a cohesive hybrid cloud strategy.

2. Edge Computing Revolution

Edge computing is transforming industries by bringing processing power closer to data sources. Red Hat’s lightweight solutions, such as Red Hat Enterprise Linux for Edge, make deploying applications at scale in remote or edge locations straightforward.

Why It Matters:

Reduced latency.

Improved real-time decision-making.

Red Hat’s Role: By providing edge-optimized container platforms, Red Hat ensures consistent infrastructure and application performance at the edge.

3. Kubernetes as the Cornerstone

Kubernetes has become the foundation of modern application architectures. With Red Hat OpenShift, enterprises harness the full potential of Kubernetes to deploy and manage containerized applications at scale.

Why It Matters:

Scalability for cloud-native applications.

Efficient resource utilization.

Red Hat’s Role: Red Hat OpenShift offers enterprise-grade Kubernetes with integrated DevOps tools, enabling organizations to accelerate innovation while maintaining operational excellence.

4. Automation Everywhere

Automation is the key to reducing complexity and increasing efficiency in IT operations. Red Hat Ansible Automation Platform leads the charge in automating workflows, provisioning, and application deployment.

Why It Matters:

Enhanced productivity with less manual effort.

Minimized human errors.

Red Hat’s Role: From automating repetitive tasks to managing complex IT environments, Ansible helps businesses scale operations effortlessly.

5. Focus on Security and Compliance

As cyber threats grow in sophistication, security remains a top priority. Red Hat integrates security into every layer of its ecosystem, ensuring compliance with industry standards.

Why It Matters:

Protect sensitive data.

Maintain customer trust and regulatory compliance.

Red Hat’s Role: Solutions like Red Hat Insights provide proactive analytics to identify vulnerabilities and ensure system integrity.

6. Artificial Intelligence and Machine Learning (AI/ML)

AI/ML adoption is no longer a novelty but a necessity. Red Hat’s open-source approach accelerates AI/ML workloads with scalable infrastructure and optimized tools.

Why It Matters:

Drive data-driven decision-making.

Enhance customer experiences.

Red Hat’s Role: Red Hat OpenShift Data Science supports data scientists and developers with pre-configured tools to build, train, and deploy AI/ML models efficiently.

Conclusion

Red Hat’s open-source solutions continue to shape the future of enterprise IT by fostering innovation, enhancing efficiency, and ensuring scalability. From hybrid cloud to edge computing, automation to AI/ML, Red Hat empowers businesses to adapt to the ever-changing technology landscape.

As enterprises aim to stay ahead of the curve, partnering with Red Hat offers a strategic advantage, ensuring not just survival but thriving in today’s competitive market.

Ready to take your enterprise IT to the next level? Discover how Red Hat solutions can revolutionize your business today.

For more details www.hawkstack.com 

[amritatech56]

Red Hat open shift API Management

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. https://amritahyd.org/

[codezup]

Optimizing Containerization with Kubernetes and OpenShift

Optimizing Containerization with Kubernetes and OpenShift Introduction Containerization with Kubernetes and OpenShift has revolutionized the way we develop, deploy, and manage applications. By using containers, we can ensure consistency and reliability across different environments. In this tutorial, we will explore how to optimize containerization with Kubernetes and OpenShift, and take our…

[amritatechh]

Red Hat open shift API Management

Red Hat open shift API Management

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. https://amritahyd.org/red-hat-open-shift-api-management/

[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.

[govindhtech]

IBM Cloud Mastery: Banking App Deployment Insights

Hybrid cloud banking application deployment best practices for IBM Cloud and Satellite security and compliance

Financial services clients want to update their apps. Modernizing code development and maintenance (helping with scarce skills and allowing innovation and new technologies required by end users) and improving deployment and operations with agile and DevSecOps are examples.

Clients want flexibility to choose the best “fit for purpose” deployment location for their applications during modernization. This can happen in any Hybrid Cloud environment (on premises, private cloud, public cloud, or edge). IBM Cloud Satellite meets this need by letting modern, cloud-native applications run anywhere the client wants while maintaining a consistent control plane for hybrid cloud application administration.

In addition, many financial services applications support regulated workloads that require strict security and compliance, including Zero Trust protection. IBM Cloud for Financial Services meets that need by providing an end-to-end security and compliance framework for hybrid cloud application implementation and modernization.

This paper shows how to deploy a banking application on IBM Cloud for Financial Services and Satellite using automated CI/CD/CC pipelines consistently. This requires strict security and compliance throughout build and deployment.

Introduction to ideas and products

Financial services companies use IBM Cloud for Financial Services for security and compliance. It uses industry standards like NIST 800-53 and the expertise of over 100 Financial Services Cloud Council clients. It provides a control framework that can be easily implemented using Reference Architectures, Validated Cloud Services, ISVs, and the highest encryption and CC across the hybrid cloud.

True hybrid cloud experience with IBM Cloud Satellite. Satellite lets workloads run anywhere securely. One pane of glass lets you see all resources on one dashboard. They have developed robust DevSecOps toolchains to build applications, deploy them to satellite locations securely and consistently, and monitor the environment using best practices.

This project used a Kubernetes– and microservices-modernized loan origination application. The bank application uses a BIAN-based ecosystem of partner applications to provide this service.

Application overview

The BIAN Coreless 2.0 loan origination application was used in this project. A customer gets a personalized loan through a secure bank online channel. A BIAN-based ecosystem of partner applications runs on IBM Cloud for Financial Services.

BIAN Coreless Initiative lets financial institutions choose the best partners to quickly launch new services using BIAN architectures. Each BIAN Service Domain component is a microservice deployed on an IBM Cloud OCP cluster.

BIAN Service Domain-based App Components

Product Directory: Complete list of bank products and services.

Consumer Loan: Fulfills consumer loans. This includes loan facility setup and scheduled and ad-hoc product processing.

Customer Offer Process/API: Manages new and existing customer product offers.

Party Routing Profile: This small profile of key indicators is used during customer interactions to help route, service, and fulfill products/services.

Process overview of deployment

An agile DevSecOps workflow completed hybrid cloud deployments. DevSecOps workflows emphasize frequent, reliable software delivery. DevOps teams can write code, integrate it, run tests, deliver releases, and deploy changes collaboratively and in real time while maintaining security and compliance using the iterative methodology.

A secure landing zone cluster deployed IBM Cloud for Financial Services, and policy as code automates infrastructure deployment. Applications have many parts. On a RedHat OpenShift Cluster, each component had its own CI, CD, and CC pipeline. Satellite deployment required reusing CI/CC pipelines and creating a CD pipeline.

Continuous integration

IBM Cloud components had separate CI pipelines. CI toolchains recommend procedures and approaches. A static code scanner checks the application repository for secrets in the source code and vulnerable packages used as dependencies. For each Git commit, a container image is created and tagged with the build number, timestamp, and commit ID. This system tags images for traceability.  Before creating the image, Dockerfile is tested. A private image registry stores the created image.

The target cluster deployment’s access privileges are automatically configured using revokeable API tokens. The container image is scanned for vulnerabilities. A Docker signature is applied after completion. Adding an image tag updates the deployment record immediately. A cluster’s explicit namespace isolates deployments. Any code merged into the specified Git branch for Kubernetes deployment is automatically constructed, verified, and implemented.

An inventory repository stores docker image details, as explained in this blog’s Continuous Deployment section. Even during pipeline runs, evidence is collected. This evidence shows toolchain tasks like vulnerability scans and unit tests. This evidence is stored in a git repository and a cloud object storage bucket for auditing.

They reused the IBM Cloud CI toolchains for the Satellite deployment. Rebuilding CI pipelines for the new deployment was unnecessary because the application remained unchanged.

Continuous deployment

The inventory is the source of truth for what artifacts are deployed in what environment/region. Git branches represent environments, and a GitOps-based promotion pipeline updates environments. The inventory previously hosted deployment files, which are YAML Kubernetes resource files that describe each component. These deployment files would contain the correct namespace descriptors and the latest Docker image for each component.

This method was difficult for several reasons. For applications, changing so many image tag values and namespaces with YAML replacement tools like YQ was crude and complicated. Satellite uses direct upload, with each YAML file counted as a “version”. A version for the entire application, not just one component or microservice, is preferred.

Thet switched to a Helm chart deployment process because they wanted a change. Namespaces and image tags could be parametrized and injected at deployment time. Using these variables simplifies YAML file parsing for a given value. Helm charts were created separately and stored in the same container registry as BIAN images. They are creating a CI pipeline to lint, package, sign, and store helm charts for verification at deployment time. To create the chart, these steps are done manually.

Helm charts work best with a direct connection to a Kubernetes or OpenShift cluster, which Satellite cannot provide. To fix this, That use the “helm template” to format the chart and pass the YAML file to the Satellite upload function. This function creates an application YAML configuration version using the IBM Cloud Satellite CLI. They can’t use Helm’s helpful features like rolling back chart versions or testing the application’s functionality.

Constant Compliance

The CC pipeline helps scan deployed artifacts and repositories continuously. This is useful for finding newly reported vulnerabilities discovered after application deployment. Snyk and the CVE Program track new vulnerabilities using their latest definitions. To find secrets in application source code and vulnerabilities in application dependencies, the CC toolchain runs a static code scanner on application repositories at user-defined intervals.

The pipeline checks container images for vulnerabilities. Due dates are assigned to incident issues found during scans or updates. At the end of each run, IBM Cloud Object Storage stores scan summary evidence.

DevOps Insights helps track issues and application security. This tool includes metrics from previous toolchain runs for continuous integration, deployment, and compliance. Any scan or test result is uploaded to that system, so you can track your security progression.

For highly regulated industries like financial services that want to protect customer and application data, cloud CC is crucial. This process used to be difficult and manual, putting organizations at risk. However, IBM Cloud Security and Compliance Center can add daily, automatic compliance checks to your development lifecycle to reduce this risk. These checks include DevSecOps toolchain security and compliance assessments.

IBM developed best practices to help teams implement hybrid cloud solutions for IBM Cloud for Financial Services and IBM Cloud Satellite based on this project and others:

Continuous Integration

Share scripts for similar applications in different toolchains. These instructions determine your CI toolchain’s behavior. NodeJS applications have a similar build process, so keeping a scripting library in a separate repository that toolchains can use makes sense. This ensures CI consistency, reuse, and maintainability.

Using triggers, CI toolchains can be reused for similar applications by specifying the application to be built, where the code is, and other customizations.

Continuous deployment

Multi-component applications should use a single inventory and deployment toolchain to deploy all components. This reduces repetition. Kubernetes YAML deployment files use the same deployment mechanism, so it’s more logical to iterate over each rather than maintain multiple CD toolchains that do the same thing. Maintainability has improved, and application deployment is easier. You can still deploy microservices using triggers.

Use Helm charts for complex multi-component applications. The BIAN project used Helm to simplify deployment. Kubernetes files are written in YAML, making bash-based text parsers difficult if multiple values need to be customized at deployment. Helm simplifies this with variables, which improve value substitution. Helm also offers whole-application versioning, chart versioning, registry storage of deployment configuration, and failure rollback. Satellite configuration versioning handles rollback issues on Satellite-specific deployments.

Constant Compliance

IBM strongly recommend installing CC toolchains in your infrastructure to scan code and artifacts for newly exposed vulnerabilities. Nightly scans or other schedules depending on your application and security needs are typical. Use DevOps Insights to track issues and application security.

They also recommend automating security with the Security and Compliance Center (SCC). The pipelines’ evidence summary can be uploaded to the SCC, where each entry is treated as a “fact” about a toolchain task like a vulnerability scan, unit test, or others. To ensure toolchain best practices are followed, the SCC will validate the evidence.

Inventory

With continuous deployment, it’s best to store microservice details and Kubernetes deployment files in a single application inventory. This creates a single source of truth for deployment status; maintaining environments across multiple inventory repositories can quickly become cumbersome.

Evidence

Evidence repositories should be treated differently than inventories. One evidence repository per component is best because combining them can make managing the evidence overwhelming. Finding specific evidence in a component-specific repository is much easier. A single deployment toolchain-sourced evidence locker is acceptable for deployment.

Cloud object storage buckets and the default git repository are recommended for evidence storage. Because COS buckets can be configured to be immutable, They can securely store evidence without tampering, which is crucial for audit trails.  

Read more on Govindhtech.com

[hawkstack]

Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise

In the world of modern enterprise IT, scalability is not just a desirable trait—it's a mission-critical requirement. As organizations continue to adopt containerized applications and microservices architectures, the ability to seamlessly scale infrastructure and workloads becomes essential. That’s where Red Hat OpenShift Administration III comes into play, focusing on the advanced capabilities needed to manage and scale OpenShift clusters in large-scale production environments.

Why Scaling Matters in OpenShift

OpenShift, Red Hat’s Kubernetes-powered container platform, empowers DevOps teams to build, deploy, and manage applications at scale. But managing scalability isn’t just about increasing pod replicas or adding more nodes—it’s about making strategic, automated, and resilient decisions to meet dynamic demand, ensure availability, and optimize resource usage.

OpenShift Administration III (DO380) is the course designed to help administrators go beyond day-to-day operations and develop the skills needed to ensure enterprise-grade scalability and performance.

Key Takeaways from OpenShift Administration III

1. Advanced Cluster Management

The course teaches administrators how to manage large OpenShift clusters with hundreds or even thousands of nodes. Topics include:

Advanced node management

Infrastructure node roles

Cluster operators and custom resources

2. Automated Scaling Techniques

Learn how to configure and manage:

Horizontal Pod Autoscalers (HPA)

Vertical Pod Autoscalers (VPA)

Cluster Autoscalers These tools allow the platform to intelligently adjust resource consumption based on workload demands.

3. Optimizing Resource Utilization

One of the biggest challenges in scaling is maintaining cost-efficiency. OpenShift Administration III helps you fine-tune quotas, limits, and requests to avoid over-provisioning while ensuring optimal performance.

4. Managing Multitenancy at Scale

The course delves into managing enterprise workloads in a secure and multi-tenant environment. This includes:

Project-level isolation

Role-based access control (RBAC)

Secure networking policies

5. High Availability and Disaster Recovery

Scaling isn't just about growing—it’s about being resilient. Learn how to:

Configure etcd backup and restore

Maintain control plane and application availability

Build disaster recovery strategies

Who Should Take This Course?

This course is ideal for:

OpenShift administrators responsible for large-scale deployments

DevOps engineers managing Kubernetes-based platforms

System architects looking to standardize on Red Hat OpenShift across enterprise environments

Final Thoughts

As enterprises push towards digital transformation, the demand for scalable, resilient, and automated platforms continues to grow. Red Hat OpenShift Administration III equips IT professionals with the skills and strategies to confidently scale deployments, handle complex workloads, and maintain robust system performance across the enterprise.

Whether you're operating in a hybrid cloud, multi-cloud, or on-premises environment, mastering OpenShift scalability ensures your infrastructure can grow with your business.

Ready to take your OpenShift skills to the next level? Contact HawkStack Technologies today to learn about our Red Hat Learning Subscription (RHLS) and instructor-led training options for DO380 – Red Hat OpenShift Administration III. For more details www.hawkstack.com 

[tech-ahead-corp]

DevOps Platforms And Software Development

28 Best DevOps Platforms And Tools: The ULTIMATE Guide

These best DevOps platforms and software can be a game-changer for businesses aiming to streamline their software deployment and development processes. The right platform or tool automates tasks and boosts collaboration between the operations and development teams. This, in turn, leads to quicker deployment of high-quality software that meets user expectations. Selecting from the Best DevOps Platforms and Software requires understanding your team's specific needs and how each tool can address them effectively. Tech Ahead provides cutting-edge DevOps platforms and software development solutions to streamline and enhance the software delivery lifecycle.

Understanding DevOps Platforms and Software

'DevOps' amalgamates two pivotal roles in software development: Development (Dev) and Operations (Ops). It's a methodology that encourages collaboration between these traditionally separate teams to streamline the entire software development lifecycle. Focusing on DevOps platforms and tools, they are integrated systems designed to support this collaborative approach by automating many routine tasks involved in developing applications from design through deployment stages.

Purpose of DevOps Tools

A range of specialized DevOps tools have been developed for different aspects of DevOps practices. Some handle code creation, while others manage testing or deployment processes. These popular DevOps automation tools enable faster releases with fewer errors due to their automation capabilities at various stages. Besides accelerating release cycles, these open-source DevOps tools also promote better communication among operations teams, thus fostering a culture where continuous improvement becomes part of everyday work habits within agile software development environments.

Monitoring and Error Reporting Platforms: The Backbone of App Performance

The effectiveness of a web app or mobile application is essential for its success. Monitoring and error reporting platforms are the backbones for maintaining this performance, offering tools that track application behavior, detect anomalies, and diagnose issues in real time.

Let's dive into these top 28 Best DevOps Platforms and Tools:

Raygun: Comprehensive Error Tracking

Nagios: Pioneer in IT Infrastructure Monitoring

Firebase Crashlytics: Specialized Mobile App Support

Opsgenie by Atlassian

Puppet Enterprise: The Model-Driven Approach

Cooking up Configurations with Progress Chef

An Open Source Solution: Ansible

SysAid: An All-Rounder In Configuration Management

Jenkins: A Versatile Open-Source Tool

Bamboo: Seamless Release Management

Amazon ECS: Containerized Deployments Simplified

Octopus Deploy: Advanced Deployment Functionalities

CircleCI: Speedy Builds And Tests

Docker: A Popular DevOps Tool

Redhat Openshift: Enterprise-Grade Solution

Kubernetes: The Container Orchestration King

LXC/LXD: Linux-Based Virtualization

Git: A Leading SCM Tool

Mercurial: User-friendly SCM

Apache (SVN) Subversion

SonarQube

Jira

Gradle

Atlassian Open DevOps

Azure DevOps Services

AWS (Amazon Web Services) DevOps

Terraform: An Open-Source Tool for Infrastructure Management

Google Cloud Build: Streamlining Continuous Integration/Continuous Deployment

TechAhead: Pioneering Global Excellence In The Field Of Development Work With Best-in-class Software

An industry leader in this domain - TechAhead has earned global recognition for their expertise in developing high-performing digital products using these best-in-class DevOps Platforms and software. They understand the importance of selecting appropriate DevOps automation tools tailored to client requirements, ensuring efficient workflow throughout the entire software development lifecycle. Their commitment to quality deliverables sets them apart, making them a one-stop solution provider for all application and software development automation needs.

Navigating numerous options might seem daunting, but it becomes easier to pick suitable ones once you identify what your team requires. No two projects are alike, so finding the right fit for your needs is essential. And if you ever find yourself needing expert guidance, remember companies like TechAhead are always ready to help.

The DevOps landscape is vast and diverse, with many platforms and software tools available to facilitate the development, deployment, monitoring, and maintenance of web apps and mobile applications. These popular DevOps tools are essential in streamlining operations teams' workflows while fostering collaboration among DevOps teams.

Conclusion

Exploring the world of DevOps platforms and software can feel like navigating a labyrinth. But, with this comprehensive guide, you've been armed with knowledge about top tools in various categories - from monitoring to DevOps configuration management tools, CI/CD deployment, and containerization. We've dived into source code management and build tools while shedding light on cloud-based solutions. We even touched upon security essentials for your applications.

The key takeaway? No single answer fits all when it comes to the best DevOps tools. It all concerns what works best with your team's needs and workflow. Understanding these Best DevOps Platforms and Software is part of the journey towards efficient software development. The real magic happens when you leverage them effectively. Contact TechAhead today for all your DevOps development, web, and mobile app development!

[thinkcloudlyofficial]

Security risks in the public cloud

n the past few years, many companies have been turning to public cloud computing for a number of reasons. One reason is that it simplifies their infrastructure and makes it cheaper in the long run. However, with all these benefits come risks that need to be addressed before going into production with your workloads in a public cloud environment. In this blog post we'll cover some security risks that you should be aware of before making the switch to public cloud computing.

Lack of visibility

One of the major security risks in public clouds is lack of visibility. This means that a sysadmin or a system manager has to be aware of every single change which is done on the cloud infrastructure. In case he/she doesn't know about changes made by others, there will be no way to get informed about them and take necessary actions if remediation steps are required. In short terms: In the absence of complete control over your virtual servers, you cannot easily see how they work and what's going on with them.

The best option for dealing with this issue would probably be establishing log management procedures which make it possible to track any activity performed on the cloud infrastructure. This solution requires an increased budget for purchase and maintenance of the log management tool, which includes licenses for paid features like monitoring virtual servers.

Another option is to purchase professional services from the cloud vendor. It's often the case that cloud vendors do provide specialized technical assistance with configuring and managing their infrastructure, but this comes at a cost (e.g., per hour).

Insufficient network security

Security risks in the public cloud that arise from insufficient network security can be prevented by implementing proper virtual networking. It's important to configure user access according to their assigned roles and responsibilities, and keep it under their control. This helps you restrict access at different levels of services provided by Amazon EC2, Microsoft Azure, Google Cloud Platform and other cloud infrastructures.

For instance, you can set up a virtual network which includes your company's Virtual Private Cloud (VPC) and create subnets within it. This way, you can ensure that users only have access to the cloud resources they need with no possibility of compromising security policies.

Lack of isolation or segmentation between different tenants' workloads 

Another security risk in public clouds is lack of isolation or segmentation between different tenants' workloads. This means that if a bug in a tenant's application manages to get out of control it can easily bring down other applications running on the same physical server. In cases when one single physical server contains ten different customers' virtual machines, this brings all ten customers down by simply crashing one application.

 A similar problem happens when a server which is dedicated to one single customer gets compromised. In this case, an attacker can get access to all virtual machines and databases running on the same physical machine.

The best mitigation procedure against these problems would be configuring and maintaining security controls in accordance with NIST ( e.g. Virtualization Security Requirements Guide v2 ). This would require paying for specialized technical assistance from the cloud vendor, but it's still cheaper than requiring security experts for each customer who will be utilizing the infrastructure. Another option is using third party IaaS providers such as VMWare's vCloud or Red Hat's OpenShift , because they do provide customers with tools which can help establish proper security policies and procedures .

How to Secure your Public Cloud?

Does the public cloud offer you benefits but still make you uneasy? You are not alone. In a survey of 457 IT professionals from around the world, more than half cited security as a primary reason they have avoided moving major workloads to the public cloud.

In fact, 42% said they could not trust their organization's data with a public cloud provider and 46% were concerned that their applications would be less secure in the public cloud.

But if you're looking to reduce datacenter costs and improve operational efficiency, what's an IT decision-maker to do?

Security strategy

Take a closer look at your security strategy and see where it might better address both on-premises and off-premises threats. Security is no longer something you can bolt on to an existing datacenter. It must include the public cloud, and several new threats require a different approach.

For example, most enterprises so far have built security strategies around protecting servers inside their corporate networks. But with increasing cloud application deployment models , it's time to shift data protection tactics up another level, which means creating stricter rules for managing the permissions of users accessing applications. You also need to create stronger authentication practices that can encompass access to mobile devices and outside-the-network users who don't belong to your enterprise domain.

Encrypt all data at rest, end to end

Another common approach is encrypting all data at rest, end to end. This mitigates a lot of risks via a combination of strong encryption algorithms and well-managed key infrastructure overhead necessary for safeguarding encryption protocols. You will want to make sure that whatever you adopt for cloud-based data protection is fully compatible with your encryption application and key management structure.

Application Protections

Another approach is to protect all applications whether they are on-premises or in the public cloud by deploying an edge gateway proxy server. This way, you can continue enforcing policies and gain visibility into what's traversing the WAN and where traffic is headed (e.g., Microsoft Office 365).

Finally, ensure your datacenter security solution includes a strong user access policy enforcement mechanism – not only around access within your corporate network but also for mobile device users as well as those who may be outside your enterprise domain altogether. A high-performance identity management system such as Okta can help you do this.

Conclusion

The public cloud is the future of business, but it also presents some risks that need to be considered. Cloud security can take many forms and should always be a priority for any company looking at transitioning their data into the cloud environment. We want to help you make informed decisions about your plan by providing expert advice on managing risk in today's increasingly digital world.

[qcs01]

Unlocking Business Agility with Red Hat Ansible Automation Platform and Red Hat OpenShift

In today’s fast-paced digital world, businesses need tools that enable agility, scalability, and efficiency. Two standout solutions leading the charge in IT automation and containerization are Red Hat Ansible Automation Platform and Red Hat OpenShift. These tools empower organizations to streamline operations, automate repetitive tasks, and deploy applications faster. Let’s dive into what makes these platforms essential for modern IT environments.

Red Hat Ansible Automation Platform: Simplify IT Automation

The Red Hat Ansible Automation Platform is a robust, enterprise-grade solution that brings simplicity to complex IT environments. By enabling businesses to automate repetitive tasks, it not only saves time but also reduces the likelihood of human error. Here's how it transforms IT operations:

Unified Automation Framework: Centralize and streamline IT workflows across multiple teams and environments.

Agentless Architecture: Ansible’s agentless design eliminates the need for additional software installation on target machines, reducing overhead.

Scalability: From small-scale automation to large, complex deployments, Ansible adapts seamlessly.

Customizable Playbooks: Create reusable, human-readable playbooks to automate tasks such as configuration management, application deployment, and network provisioning.

With Ansible, businesses can focus on innovation rather than mundane tasks, paving the way for enhanced productivity.

Red Hat OpenShift: The Future of Application Development

Red Hat OpenShift is a Kubernetes-powered platform that simplifies application development and deployment. As businesses embrace cloud-native architectures, OpenShift provides the tools to build, run, and manage applications across hybrid and multi-cloud environments. Here’s why OpenShift is a game-changer:

Integrated Kubernetes: A fully managed Kubernetes environment ensures seamless container orchestration.

Developer-Centric Tools: Integrated CI/CD pipelines and developer workflows accelerate the path from code to production.

Hybrid Cloud Support: Deploy and manage applications consistently across on-premises, public, and private clouds.

Enhanced Security: Built-in security features, such as role-based access control (RBAC) and vulnerability scanning, provide peace of mind.

By adopting OpenShift, organizations can innovate faster while maintaining control and security.

The Power of Combining Ansible and OpenShift

When used together, Ansible Automation Platform and OpenShift create a synergistic effect that enhances operational efficiency and accelerates digital transformation. Here’s how:

Automated Deployments: Use Ansible to automate the provisioning and management of OpenShift clusters.

Consistent Configurations: Ensure uniform configurations across development, testing, and production environments.

Streamlined DevOps: Simplify complex DevOps workflows by integrating Ansible’s automation capabilities with OpenShift’s container orchestration.

This combination allows businesses to deploy applications faster, scale effortlessly, and reduce time-to-market.

Why Businesses Choose Red Hat

Red Hat’s commitment to open-source innovation and enterprise-grade solutions makes it a trusted partner for organizations worldwide. By leveraging tools like Ansible Automation Platform and OpenShift, businesses can achieve:

Greater agility in responding to market demands

Reduced operational costs through automation

Enhanced collaboration between development and operations teams

Get Started Today

Ready to transform your IT operations and accelerate innovation? Explore how Red Hat Ansible Automation Platform and Red Hat OpenShift can revolutionize your business. Contact us to learn more or schedule a demo.

For more details www.hawkstack.com 

[qcsdslabs]

Integrating Virtual Machines with Containers Using OpenShift Virtualization

As organizations increasingly adopt containerization to modernize their applications, they often encounter challenges integrating traditional virtual machine (VM)-based workloads with containerized environments. OpenShift Virtualization bridges this gap, enabling organizations to run VMs alongside containers seamlessly within the same platform. This blog explores how OpenShift Virtualization helps achieve this integration and why it’s a game-changer for hybrid environments.

What is OpenShift Virtualization?

OpenShift Virtualization is a feature of Red Hat OpenShift that allows you to manage VMs as first-class citizens alongside containers. It leverages KubeVirt, an open-source virtualization extension for Kubernetes, enabling VM workloads to run natively on the OpenShift platform.

Benefits of Integrating VMs and Containers

Unified Management: Manage VMs and containers through a single OpenShift interface.

Resource Efficiency: Consolidate workloads on the same infrastructure to reduce operational costs.

Simplified DevOps: Use Kubernetes-native tools like kubectl and OpenShift’s dashboards to manage both VMs and containers.

Hybrid Workload Modernization: Gradually transition legacy VM-based applications to containerized environments without disrupting operations.

Key Use Cases

Modernizing Legacy Applications: Migrate monolithic applications running on VMs to OpenShift, enabling container adoption without rewriting the entire codebase.

Hybrid Workloads: Run VM-based databases alongside containerized microservices for better performance and management.

Development and Testing: Spin up VMs for testing or sandbox environments while running production-ready workloads in containers.

How to Integrate VMs with Containers in OpenShift

Install OpenShift Virtualization:

Use the OpenShift OperatorHub to install the OpenShift Virtualization Operator.

Verify the installation by checking the kubevirt namespace and related components.

Create Virtual Machines:

Use the OpenShift web console or CLI to create VMs.

Define VM specifications like CPU, memory, and storage in YAML files.

Example YAML for a VM:

Connect Containers and VMs:

Use OpenShift’s networking capabilities to establish communication between VMs and containerized workloads.

For example, deploy a containerized application that interacts with a VM-based database over a shared network.

Monitor and Manage:

Use OpenShift’s monitoring tools to observe the performance and health of both VMs and containers.

Manage workloads using the OpenShift console or CLI tools like oc and kubectl.

Example: Integrating a VM-Based Database with a Containerized Application

Deploy a VM with a Database:

Create a VM running MySQL.

Expose the database service using OpenShift’s networking capabilities.

Deploy a Containerized Application:

Use OpenShift to deploy a containerized web application that connects to the MySQL database.

Verify Connectivity:

Test the application’s ability to query the database.

Best Practices

Resource Planning: Allocate resources efficiently to avoid contention between VMs and containers.

Security: Leverage OpenShift’s built-in security features like Role-Based Access Control (RBAC) to manage access to workloads.

Automation: Use OpenShift Pipelines or Ansible to automate the deployment and management of hybrid workloads.

Conclusion

OpenShift Virtualization is a powerful tool for organizations looking to unify their infrastructure and modernize applications. By seamlessly integrating VMs and containers, it provides flexibility, efficiency, and scalability, enabling businesses to harness the best of both worlds. Whether you’re modernizing legacy systems or building hybrid applications, OpenShift Virtualization simplifies the journey and accelerates innovation.

For more details visit : https://www.hawkstack.com/