Skylar Green’s Post

Start or advance your enterprise automation journey. Whether you’re a newcomer or have experience already, this guide can help. Read for details. #RedHat #RHEL #Linux #EnterpriseLinux #Ansible #Automation #OpenShift #OCP #Cloud #Tech #Technology #DigitalTransformation #Architecture #Developer #IoT #BigData #Security #InfoSec #DevSecOps #OpenSource #Leadership

AIX in the Cloud at SiteOx.com/aix - Daily Weekly Monthly leasing - AIX, Solaris on SPARC, HPUX, Linux on IBM Power, Linux on Intel, Solaris on Intel - Access to many AIX versions 7.3, 7.2, 7.2, 6.1, 5.3 in the cloud. #siteox #automation #automated #deployment #cloud #datacenter #migration #aix #hpux #solaris #linux #oraclelinux #powerpc #powervm #powerha #powervc #ppc64 #ppc64le #hpia64 #sparc

If you are using #IBM #IBMPower and want to get into Ansible Automation, take a look at this new Red Book. My fellow #IBMChampion 👨🏻💻Andrey Klyachkin helped write it, so it's got to be worth a read :-)

Why Do We Use Containerization? When deploying applications, managing dependencies and specific versions of libraries across different environments can get tricky. Early on, Virtual Machines (VMs) were the go-to solution. Here’s how it worked: you’d provide the server provider with a pre-configured VM image containing your application, its dependencies, and an operating system. The provider would allocate resources, and a hypervisor would run the VM. But there was a problem: VMs are resource-heavy. Each VM runs its own operating system and kernel, which leads to duplication, slower startup times, and inefficient resource use. This made VMs less suitable for scaling in modern workloads. In Linux systems, the OS is split into two layers: 1. User Space: Where applications run and communicate with the system via the kernel. 2. Kernel Space: Manages hardware and system resources for everything running on the system. Containers changed the game. Unlike VMs, containers share the host OS kernel, eliminating the need for separate kernels in each instance. This makes containers lightweight, faster to start, and much more efficient with resources. They leverage Linux features like control groups (cgroups) to manage resource limits and namespaces to isolate processes. Technologies like LXC (Linux Containers) and LXD introduced these concepts, but Docker took it further by making containerization accessible, portable, and developer-friendly. With Docker, you can package your application and its dependencies into containers that run consistently across different environments, whether in development or production. In short, containerization solves the inefficiencies of VMs by optimizing resource use and ensuring scalability, portability, and reliability. If you're in tech, learning containerization is a must—it’s the backbone of modern cloud-native development! Let me know your thoughts in the comments—how are you using containers in your projects? 🚀

Choose your own adventure for this virtual experience! Select one of three different hands-on workshops on Modernizing Applications with Red Hat® OpenShift® & join us for the track that fits you best. See you there! #RedHat #RHEL #Linux #EnterpriseLinux #Ansible #Automation #OpenShift #OCP #Cloud #Tech #Technology #DigitalTransformation #Virtualization #Architecture #Developer #IoT #BigData #Security #InfoSec #DevSecOps #OpenSource #Leadership

Red Hat #Ansible CI pipelines streamline #5G networks, ensuring seamless validation of F5 solutions on #OpenShift. Transform your #telco ops!  #RedHat #RHEL #Linux #EnterpriseLinux #Ansible #Automation #OpenShift #OCP #Cloud #Tech #Technology #DigitalTransformation #Virtualization #Architecture #Developer #IoT #BigData #Security #InfoSec #DevSecOps #OpenSource #Leadership

The on-premise deployment option sees quite useful to customers I've talked to! -- Introducing Ansible Lightspeed playbook generation and on-premise deployments https://red.ht/3REHC0r #rhel #ansible #lightspeed

This diagram offers a comprehensive map of the 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦, detailing the various components and functionalities involved in managing containerized applications on a foundational level. It uses Linux as the operating system, leveraging specific features like namespaces, cgroups, and security modules essential for operating containers and Kubernetes. The Linux Kernel supports the primary functionalities required by containers, such as resource management and enhanced security features. Within the Kubernetes architecture, a container runtime such as Docker or Containerd manages containers, handling their lifecycle management, image repositories, and runtime environments. Kubernetes manages containers and orchestrates pods, services, deployments, and various configurations and types of storage. It also includes implementing security measures like network policies, service accounts, and secrets management. The ecosystem also embraces stateful applications managed through deployment controllers like operators and custom controllers, often written in languages like Golang. Observability is crucial, with monitoring, logging, and metrics tools that provide operational visibility and debugging capabilities. Security is woven into the development lifecycle through DevSecOps, integrating security at every step with continuous integration, continuous deployment, and automated compliance checks. The infrastructure is managed as code, utilizing principles and tools that ensure consistent and reproducible environments across the deployment pipeline. Networking features within Kubernetes include a service mesh that enhances service-to-service communication and security through a dedicated infrastructure layer. Storage management, both persistent and ephemeral, is seamlessly integrated with cloud storage solutions to ensure scalability and reliability. It also highlights the importance of high availability and disaster recovery, with redundancy, reliability, and strategic cloud distribution strategies to ensure operational resilience. It also addresses performance tuning and optimization, focusing on resource use optimization and auto-scaling capabilities to handle varying loads efficiently. Also, an API gateway manages routing, authentication, and rate limiting for API calls to services within the cluster. YAML and JSON are essential for defining and configuring Kubernetes resources. Finally, integration with cloud providers is crucial. These providers provide essential services like networking, computing, and storage, pivotal for Kubernetes' cloud-platform operations. The diagram effectively encapsulates the interconnectivity and comprehensive functionality within a Kubernetes-based environment, highlighting the integration of security, monitoring, and advanced configurations for efficient management and operation of containerized applications. #kubernetes #containerization  #cloudnative #security #linux

Dynatrace observability now available for Red Hat OpenShift on IBM Z and LinuxONE mainframes 👉 https://lnkd.in/exEMzMhM #IBMZ #LinuxONE #Openshift #Observability Claudia Larissa Tanja Hendrik Angie Natalie Shermin Steffen Christian IBM Red Hat Dynatrace

Exciting news! Learn about the latest updates in event-driven automation with Ansible in the new blog post from Red Hat. #RedHat #RHEL #Linux #EnterpriseLinux #Ansible #Automation #OpenShift #OCP #Cloud #Tech #Technology #DigitalTransformation #Virtualization #Architecture #Developer #IoT #BigData #Security #InfoSec #DevSecOps #OpenSource #Leadership