#openshift | Explore Tumblr Posts and Blogs

govindhtech · 5 months

Text

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

#IBM #BankingApp #IBMCloud #Satellite #security #Financialservices #Kubernetes #BIANService #SecurityComplianceCenter #OpenShift #technews #technology #govindhtech

0 notes

muellermh · 11 months

Text

Verfügbare Tools für das Managen von DevOps Prozessen: "Verwenden Sie die neuesten Tools von MHM Digitale Lösungen UG für das effiziente Managen Ihrer DevOps Prozesse"

#DevOps #MHMDigitaleLösungen #VerfügbareTools #EffizientesManagen #Prozesse

DevOps ist ein Prozess, der sich auf die Entwicklung, den Betrieb und die Wartung von Software-Systemen konzentriert. Es hilft, Due Diligence zu leisten, um sicherzustellen, dass Anwendungen reibungslos funktionieren und dass die Entwicklungszyklen so effizient wie möglich sind. Effizientes Management Ihrer DevOps-Prozesse ist eine wichtige Voraussetzung für eine erfolgreiche Implementierung. MHM…

View On WordPress

#Amazon Web Services (AWS)#Ansible #Azure DevOps #Containers #Gitlab #Jenkins Pipeline #Kubernetes #Logstash #Openshift #Splunk.

0 notes

tanisha481 · 1 year

Text

What is DO280 and how can it benefit my career in IT?

#DO280 #OpenShift #RedHat #ITCertification #CloudComputing #DevOps #Kubernetes #Containerization #Automation #Microservices #CloudNativeDevelopment #CloudInfrastructure #CloudDeployment #CloudManagement #ITCareer #CareerBenefits

1 note · View note

codecraftshop · 1 year

Text

How to deploy web application in openshift command line

To deploy a web application in OpenShift using the command-line interface (CLI), follow these steps: Create a new project: Before deploying your application, you need to create a new project. You can do this using the oc new-project command. For example, to create a project named “myproject”, run the following command:javascriptCopy codeoc new-project myproject Create an application: Use the oc…

View On WordPress

#openshift openshift4 redhatopenshift openshifttutorial openshiftonline #application deployment #deploy openshift web application using openshift cli command line red hat openshift #kubernetes #openshift #openshift container platform #openshift deploy spring boot jar #openshift installation #openshift login #openshift online #openshift openshift 4 red hat openshift #openshift openshift 4 red hat openshift container platform #openshift tutorial #Openshift webconsole #red hat #red hat openshift #redhat openshift online #web application openshift online

0 notes

webashatech · 1 year

Text

#redhat #openshift #openstack #devops #ansible #training #certification

0 notes

devsnews · 1 year

Link

Kubernetes is an open-source container orchestration system for automating containerized applications' deployment, scaling, and management. It can manage a cluster of virtual machines and other computing resources. OpenShift is a container application platform based on Kubernetes and is used to develop, deploy, and manage applications. It provides an integrated environment for developing, deploying, and managing applications in a cloud-native fashion. In addition, OpenShift offers additional features over Kubernetes, such as application templates, a web console, and a web-based IDE. This article will show you the main differences between these two.

#kubernetes #redhat #OpenShift #enterprise #cloud #cloud_native

0 notes

johnthetechenthusiast · 1 year

Text

🌟Ensure your skill set keeps pace with evolving technologies🌟

Red Hat Learning Subscription keeps pace with the needs of a modern workforce. Teams benefit from unlimited access to training content for the entire portfolio of Red Hat products and technologies. Users can tailor their learning approach with content available in different modalities, including video classes, e-books, and live virtual sessions.

📲Call us now:

HYD Reach out to Soujanya: 7799 351 640

BLR never miss calling Sowmya / Swapna: 7204 431 703/ 8951790345

MUM open the pandora's box of discounts with Jaya: 8139 990 052

www.cossindia.net | www.prodevans.com

0 notes

amritatechnologieshyd · 4 months

Text

"DO 374: Your passport to mastering the skies of aviation."

Visit : https://amritahyd.org/

Enroll Now- 90005 80570

0 notes

projectcubicle1 · 2 years

Text

OpenShift 101: Understanding Red Hat OpenShift

Containers are one of the most fundamental components of cloud computing technologies. You may ask what is Openshift and its relevance to cloud technology. The Red Hat OpenShift product is a platform prepared for the distribution and management of Containers. It provides many benefits to corporations in terms of operation, production, human resources, equipment, and financials (also look at Openshift vs Kubernetes). Now's commercial life moves considerably more quickly than it did in the past, and many of the things we can accomplish today were just a fantasy a few years ago. Modern technology, open source communities, and innovative forms of cooperation are propelling the development and implementation of groundbreaking business concepts.

What is Red Hat Openshift?

The ability to create a product that has consumer value and makes a difference with an original concept exists now for any institution doing business everywhere, in any area, and to compete with everyone on an equal basis with this product is available to anybody doing business today. Cloud computing technologies, which allow them to bring their ideas to life fast, are what provide them with this chance. When it comes to translating a concept into value for internal or external clients, how fast you can bring an application to life makes all the difference in the world. To create and deploy their systems more quickly, companies are using hybrid cloud architectures that make advantage of Microservices and Containers. In order to do this, they must first identify the most appropriate media. The Kubernetes network is built on Red Hat OpenShift, which provides a reliable foundation. It provides enterprises with the capability they want today, such as hybrid and multi-cloud applications, among other things. Red Hat OpenShift is a platform that empowers corporate software teams to develop and deploy new technologies. It is a component of Red Hat Enterprise Linux. These teams will also benefit from the hundreds of solutions, such as security and scanning, that are available from Red Hat's many partners. To summarize, Red Hat OpenShift is an open-source cloud application framework for business application development that is based on the Kubernetes container editor and built on the Docker container platform.

Openshift vs Kubernetes

With the rise of current container-built systems, microservices packaged with their specs and settings are becoming more prevalent in the marketplace. Kubernetes is an open-source framework that allows for the deployment and scaling of such containers at a large scale. It may also refer to a ship's captain or operator in Greek. Looking at Openshift vs Kubernetes, often known as "k8s" or "k-eights," makes the process of developing, producing, and scaling containerized software much more efficient. It provides organizations running a mixed Windows and Linux workflow with a unified and integrated solution the benefits of a generic Kubernetes platform. In order to provide support for Windows containers, Red Hat OpenShift uses the Windows Machine Config Operator (WMCO), a licensed OpenShift operator developed on the Kubernetes Operator Platform and jointly supported by both Red Hat and Microsoft. With the exception of project sponsor Google, Red Hat is the leading corporate Kubernetes developer, and the company has transformed hundreds of open source projects into production-ready commercial solutions that are both reliable and secure. One of these platforms is OpenShift. In addition to all of this, Openshift provides application developers with an environment that enables several conveniences for the development of next-generation software. In order to create cloud-based apps and put them into production, a slew of various components are required, ranging from application and developer services on the one hand to monitoring tools and services on the other. How is the security dimension of Openshift vs Kubernetes? The development and integration of Windows and Linux containers will result in more mobility for developers and end users in the future. They will be permitted to distribute more material whenever and wherever they see fit. Despite this, there are still a number of concerns with container protection. When it comes to business containers, static security procedures are out of the question. The selection of credible sources for reference photos is the first step in ensuring container security. In spite of the fact that you are employing trustworthy files, introducing applications, and making program adjustments will result in the creation of new variables. Whenever you are bringing in external material to create the applications, you must be proactive in your search for security safeguards.

Why virtual machines are different from containers? And benefits:

If you are a systems expert, it might signify one of the following things to you: In comparison to virtual machines, it is a system that can work at any location, is simple to operate and use in any manner, and the applications execute on a shared kernel. According to developers, it might meanthe following. It is a software that is simple to use and can be downloaded as a single package. It can be imported into any framework within seconds of being installed. Alternatively, perhaps new technology will eventually displace virtual machines. There are certain disadvantages to virtual computers as compared to container technology. - The most notable Openshift benefit is the need for a particular virtual machine CPU, fixed memory, and high energy use. Consider the advantages of the container aspect, which include acting as a compatibility structure independent of the CPU, RAM, or layer and a shared kernel with minimal resource usage and a shared system. - With including DevOps culture and Container technology into our operations, the split of duties between Operations and App Developers has become well established in our organization. Virtual machines do not have a lightweight and compact structure. - However, when we look at the container side of things, the layer of the framework is completely independent of the bottom level. This allows you to run it in whatever environment you wish. The operating system does not matter whether you are running it on your own desktop, on your own server, or in an AWS (Amazon Web Service) environment. This is because the operating system has an independent configuration that does not need dependencies. What about the future? All efforts aim to make the internet more integrated, faster, and more seamless. OpenShift organizes all Red Hat Enterprise Linux and Windows systems with the Windows Config Operator to function as software fundamental components and allows.NET apps, NET Framework applications, and other Windows applications to run as software fundamental components. Red Hat OpenShift Windows containers can work anywhere they are available in the accessible hybrid cloud, including bare-metal databases, Microsoft Azure, AWS, Google Cloud, and IBM Cloud. As a result, there will be no need to completely re-architect or build new code, and reduced implementation costs for container-based workloads will be possible in linked IT infrastructures. When attempting to be too flexible, it is important not to lose sight of the security aspect of the situation. Read the full article

#CloudComputing #cloudcomputingsolutions #openshift #redhat

0 notes

reportwire · 2 years

Text

A Primer on OpenShift CLI Tools

The command-line interface (CLI) is an effective text-based user interface (UI). Today, many users rely on graphical user interfaces and menu-driven interactions, but some programming and maintenance tasks may not have a GUI, or at times, may experience slowness. In such scenarios, command-line interfaces can be used. When working on the OpenShift Container Platform, a variety of tasks can be…

View On WordPress

#Command-line interface #openshift

0 notes

datamattsson · 11 months

Link

Got OpenShift?

#SCOD #RedHat #OpenShift

1 note · View note

thegurukulsiksha · 2 years

Photo

#kuberbernetes #docker #cognixia #gsiksha #gurukul_siksha #certificarion #certificate #microservices #micro_services #openshift #redhat https://www.instagram.com/p/CdZ8NQ2DF1M/?igshid=NGJjMDIxMWI=

#kuberbernetes #docker #cognixia #gsiksha #gurukul_siksha #certificarion #certificate #microservices #micro_services #openshift #redhat

0 notes

govindhtech · 3 months

Text

Dominate NLP: Red Hat OpenShift & 5th Gen Intel Xeon Muscle

Using Red Hat OpenShift and 5th generation Intel Xeon Scalable Processors, Boost Your NLP Applications

Red Hat OpenShift AI

Her AI findings on OpenShift, where have been testing the new 5th generation Intel Xeon CPU, have really astonished us. Naturally, AI is a popular subject of discussion everywhere from the boardroom to the data center.

There is no doubt about the benefits: AI lowers expenses and increases corporate efficiency.

It facilitates the discovery of hitherto undiscovered insights in analytics and expands comprehension of business, enabling you to make more informed business choices more quickly than before.

Beyond only recognizing human voice for customer support, natural language processing (NLP) has become more valuable in business. These days, natural language processing (NLP) is utilized to improve machine translation, identify spam more accurately, enhance client Chatbot experiences, and even employ sentiment analysis to ascertain social media tone. It is expected to reach a worldwide market value of USD 80.68 billion by 2026 , and companies will need to support and grow with it quickly.

Her goal was to determine how Red Hat OpenShift‘s NLP AI workloads were affected by the newest 5th generation Intel Xeon Scalable processors.

The Support Red Hat OpenShift Provides for Your AI Foundation

Red Hat OpenShift is an application deployment, management, and scalability platform built on top of Kubernetes containerization technology. Applications become less dependent on one another as they transition to a containerized environment. This makes it possible for you to update and apply bug patches in addition to swiftly identifying, isolating, and resolving problems. In particular, for AI workloads like natural language processing, the containerized design lowers costs and saves time in maintaining the production environment. AI models may be designed, tested, and generated more quickly with the help of OpenShift’s supported environment. Red Hat OpenShift is the best option because of this.

The Intel AMX Modified the Rules

Intel released the Intel AMX, or fourth generation Intel Xeon Scalable CPU, almost a year ago. The CPU may optimize tasks related to deep learning and inferencing thanks to Intel AMX, an integrated accelerator.

The CPU can switch between AI workloads and ordinary computing tasks with ease thanks to Intel AMX compatibility. Significant performance gains were achieved with the introduction of Intel AMX on 4th generation Intel Xeon Scalable CPUs.

After Intel unveiled its 5th generation Intel Xeon Scalable CPU in December 2023, they set out to measure the extra value that this processor generation offers over its predecessor.

Because BERT-Large is widely utilized in many business NLP workloads, they explicitly picked it as deep learning model. With Red Hat OpenShift 4.13.2 for Inference, the graph below illustrates the performance gain of the 5th generation Intel Xeon 8568Y+ over the 4th generation Intel Xeon 8460+. The outcomes are Amazing These Intel Xeon Scalable 5th generation processors improved its predecessors in an assortment of remarkable ways.

Performing on OpenShift upon a 5th generation Intel Xeon Platinum 8568the value of Y+ with INT8 produces up to 1.3x improved natural-language processing inference capability (BERT-Large) than previous versions with Inverse.

OpenShift on a 5th generation Intel Xeon Platinum 8568Y with BF16 yields 1.37x greater Natural Language Processing inference performance (BERT-Large) compared to previous generations with BF16.

OpenShift on a 5th generation Intel Xeon Platinum 8568Y+ with FP32 yields 1.49x greater Natural Language Processing inference performance (BERT-Large) compared to previous generations with FP32.

They evaluated power usage as well, and the new 5th Generation has far greater performance per watt.

Natural Language Processing inference performance (BERT-Large) running on OpenShift on a 5th generation Intel Xeon Platinum 8568Y+ with INT8 has up to 1.22x perf/watt gain compared to previous generation with INT8.

Natural Language Processing inference performance (BERT-Large) running on OpenShift on a 5th generation Intel Xeon Platinum 8568Y+ with BF16 is up to 1.28x faster per watt than on a previous generation of processors with BF16.

Natural Language Processing inference performance (BERT-Large) running on OpenShift on a 5th generation Intel Xeon Platinum 8568Y+ with FP32 is up to 1.39 times faster per watt than it was on a previous generation with FP32.

Methodology of Testing

Using an Intel-optimized TensorFlow framework and a pre-trained NLP model from Intel AI Reference Models, the workload executed a BERT Large Natural Language Processing (NLP) inference job. With Red Hat OpenShift 4.13.13, it evaluates throughput and compares Intel Xeon 4th and 5th generation processor performance using the Stanford Question Answering Dataset.

FAQS:

What is OpenShift and why it is used?

Developing, deploying, and managing container-based apps is made easier with OpenShift. Faster development and release life cycles are made possible by the self-service platform it offers you to build, edit, and launch apps as needed. Consider pictures as molds for cookies, and containers as the cookies themselves.

What strategy was Red Hat OpenShift designed for?

Red Hat OpenShift makes hybrid infrastructure deployment and maintenance easier while giving you the choice of fully managed or self-managed services that may operate on-premise, in the cloud, or in hybrid settings.