Think Different

  Photo by Tim Mossholder Red Hat OpenShift Data Science is a powerful platform designed for data scientists and developers working on artificial intelligence (AI) applications. Let’s dive into the details: What is Red Hat OpenShift Data Science? Red Hat OpenShift Data Science provides a fully supported environment for developing, training, testing, and deploying machine learning models. It allows you to work with AI applications both on-premises and in the public cloud . You can use it as a managed cloud service add-on to Red Hat’s OpenShift cloud services or as self-managed software that you can install on-premise or in the public cloud. Key Features and Benefits : Rapid Development : OpenShift Data Science streamlines the development process, allowing you to focus on building and refining your models. Model Training : Train your machine learning models efficiently within the platform. Testing and Validation : Easily validate your models before deployment. Deployment Flexibi...

Organizations often face the dilemma of choosing between  #onpremises  servers and a  #cloud -only approach. Let’s explore the pros and cons of each: Costs and Maintenance: On-Premises: Requires upfront capital investment in hardware, installation, software licensing, and IT services. Ongoing costs include staff salaries, energy expenses, hosting fees, and office space. Regular updates and replacements add to the financial burden. Cloud: Subscription-based model, reducing upfront costs. Managed by the cloud provider, minimizing maintenance efforts. Scalability without significant capital investment. Security and Compliance: On-Premises: Provides direct control over security measures. Suits organizations with strict compliance requirements. Cloud: Robust security measures implemented by cloud providers. Compliance certifications (e.g., ISO, SOC) for data protection. Shared responsibility model: Cloud provider secures infrastructure, while you secure data. Scalability and F...

  account : Manage Azure subscription information. acr : Manage private registries with Azure Container Registries. ad : Manage Azure Active Directory Graph entities needed for Role Based Access Control. advisor : Manage Azure Advisor. afd : Manage Azure Front Door Standard/Premium. ai-examples : Add AI powered examples to help content. aks : Manage Azure Kubernetes Services. ams : Manage Azure Media Services resources. apim : Manage Azure API Management services. appconfig : Manage App Configurations. appservice : Manage App Service plans. aro : Manage Azure Red Hat OpenShift clusters. backup : Manage Azure Backups. batch : Manage Azure Batch. bicep : Bicep CLI command group. billing : Manage Azure Billing. bot : Manage Microsoft Azure Bot Service. cache : Commands to manage CLI objects cached using...

photo by pexels Context and Overview I am trying to give you a quick learning for GRPC, Protobuf including a Python based application to test. gRPC (Remote Procedure Call) : - Definition: gRPC is a high-performance, open-source RPC framework developed by Google. It allows you to define remote service methods using Protocol Buffers and then generate client and server code in multiple languages. - Purpose: gRPC enables efficient communication between distributed systems, allowing services written in different languages to communicate seamlessly. - Usage: It is commonly used in microservices architectures, where services need to communicate with each other over a network. Protocol Buffers (protobuf) : - Definition: Protocol Buffers is a language-neutral, platform-neutral, extensible mechanism for serializing structured data. It was developed by Google and used for efficient data serialization. - Purpose: Protocol Buffers are used to define the structure of data that is transmitted between...

                                                         Photo by pexel Disclaimer : This is a hypothetical demo application to explain certain technologies. Not related to any real world scenario. The Poultry Industry's Quest for Efficiency: Sexing Eggs in Real-Time with AI The poultry industry faces constant pressure to optimize production and minimize waste. One key challenge is determining the sex of embryos early in the incubation process. Traditionally, this involved manual candling, a labor-intensive and error-prone technique. But what if there was a faster, more accurate way? Enter the exciting world of near real-time sex prediction using AI and MRI scans. This innovative technology promises to revolutionize the industry by: Boosting Efficiency: Imagine processing thousands of eggs per second, autom...