69 Ansible courses

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators or network administrators, software and DevOps engineers Overview By the end of the course, you should be able to meet the following objectives: Describe VMware NSX Advanced Load Balancer architecture Describe VMware NSX Advanced Load Balancer components and main functions Explain VMware NSX Advanced Load Balancer key features and benefits Describe and leverage VMware NSX Advanced Load Balancer REST API Describe and leverage VMware NSX Advanced Load Balancer SDKs with extended focus on Python SDK Leverage REST API and SDK features and functions to provision application delivery components Describe and leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations Describe and leverage VMware NSX Advanced Load Balancer Github, Docker (avinetworks/avitools), Ansible Galaxy and other open source resources to accelerate the automation planning and implementation Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to provision infrastructure components Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to automate and streamline application delivery services provisioning This three-day, fast-paced course provides comprehensive training on how to automate infrastructure and application components of VMware NSX Advanced Load Balancer (Avi Networks) solution. This course covers key application delivery features of NSX Advanced Load Balancer (Avi Networks) features and functionality offered in VMware NSX Advanced Load Balancer 18.2 release and focuses on how to plan and implement automation of infrastructure and application components leveraging REST API, SDK or automation solutions such as Ansible, Terraform or similar. Access to a software-defined data center environment is provided through hands-on labs to reinforce the skills and concepts presented in the course. COURSE INTRODUCTION * Introductions and course logistics * Course objectives INTRODUCTION TO NSX ADVANCED LOAD BALANCER * Introduce NSX Advanced Load Balancer * Discuss NSX Advanced Load Balancer use cases, and benefits * Explain NSX Advanced Load Balancer architecture and components * Explain the management, control, data, and consumption planes and functions VIRTUAL SERVICES CONFIGURATION CONCEPTS * Explain Virtual Service components * Explain Virtual Service types * Explain and configure basic virtual services components such as Application Profiles, Network Profiles,Pools and Health Monitors POOLS CONFIGURATION CONCEPTS * Explain and deep dive on Pool configuration options * Describe multiple load balancing algorithms * Explain multiple Health Monitor types * Explain multiple Persistent profiles * Explain and configure Pool Groups LEVERAGING NSX ADVANCED LOAD BALANCER REST API * Explain NSX Advanced Load Balancer automation vision * Explain and introduce NSX Advanced Load Balancer REST API * Describe NSX Advanced Load Balancer REST API methods and capabilities * Describe NSX Advanced Load Balancer REST API session handling properties such authentication, API versioning and tenancy model * Deep dive on NSX Advanced Load Balancer REST API Object Model * Explain and investigate NSX Advanced Load Balancer REST API leveraging browser and command line utilities * Explain and interact with NSX Advanced Load Balancer REST API leveraging browser, Postman and Curl * Explain Swagger-based API Documentation * Explain and leverage NSX Advanced Load Balancer Inventory API * Explain and leverage NSX Advanced Load Balancer methods such as GET, PUT, POST and PATCH and associated queries, filters and parameters * Deep dive on NSX Advanced Load Balancer PATCH method * Explain and leverage NSX Advanced Load Balancer Analytics API * Explain and leverage NSX Advanced Load Balancer MACRO API NSX ADVANCED LOAD BALANCER SOFTWARE-DEFINED KITS (SDKS) AND CONTROLSCRIPTS * Introduce NSX Advanced Load Balancer SDKs * Describe, install and leverage NSX Advanced Load Balancer Python SDK * Deep dive on NSX Advanced Load Balancer Python SDK * Describe and leverage Golang SDK * Leverage NSX Advanced Load Balancer open source resources such as Github, etc to accelerate SDKs adoption * Describe NSX Advanced Load Balancer Events and Alerts framework * Introduce ControlScripts foundations * Leverage ControlScripts to automate configuration changes and alerts remediation AUTOMATING NSX ADVANCED LOAD BALANCER APPLICATION DELIVERY SERVICES WITH ANSIBLE AND TERRAFORM * Introduce NSX Advanced Load Balancer Configuration Orchestration and Management vision * Introduce and explain Ansible foundations * Describe Ansible and NSX Advanced Load Balancer Ansible capabilities * Deep dive and implement NSX Advanced Load Balancer Ansible Core configuration modules (avinetworks/avisdk) * Deep dive and implement Ansible NSX Advanced * Load Balancer Declarative configuration role (avinetworks/aviconfig) * Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Ansible playbooks * Explain application delivery configuration automation * approach and models * Apply configuration automation models with Ansible * Introduce and explain Terraform foundations * Describe Terraform and NSX Advanced Load Balancer Terraform capabilities * Deep dive and implement NSX Advanced Load Balancer Terraform Provider * Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Terraform plans * Apply configuration automation models with Terraform AUTOMATING NSX ADVANCED LOAD BALANCER INFRASTRUCTURE WITH ANSIBLE AND TERRAFORM * Introduce NSX Advanced Load Balancer infrastructure Automation vision * Describe infrastructure deployment approach and capabilities * Describe Ansible and NSX Advanced Load Balancer Ansible Infrastructure deployment approach and capabilities * Describe Terraform and NSX Advanced Load Balancer Terraform deployment approach and capabilities * Leverage Terraform to deploy Controllers and perform system configuration, including control plane cluster setup * Leverage Terraform to provision Cloud, Service Engine Groups and Service Engine components * Describe and leverage Ansible roles to deploy Controllers and perform initial system configuration, including control plane cluster setup * Leverage Ansible declarative and core roles to provision Cloud, Service Engine Groups and Service Engine components * Describe and implement combined Terraform + Ansible model to streamline NSX Advanced Load Balancer solution deployment

The "YAML Fundamentals" course helps beginners with the required skills to develop YAML documents. It will also help you gain skills to develop a properly structured YAML document in both block style and flow style. The "flow style" is also known as JSON style or compact style. If you are looking forward to adding YAML to your skillset, then this course is what you need. In today's market, every IT professional is expected to know YAML.

Duration 3 Days 18 CPD hours This course is intended for This course is designed primarily for network and software engineers who are interested in learning about automation and programmability and hold the following job roles: Network engineer Systems engineer Wireless engineer Consulting systems engineer Technical solutions architect Network administrator Wireless design engineer Network manager Sales engineer Account manager Overview Upon completing this course, the learner will be able to meet these overall objectives: Get familiar with different API styles (REST, RPC) and synchronous and asynchronous API requests Learn how to use Postman software development tool in order to test the API calls Learn how to automate repetitive tasks using Ansible automation engine Explore a Python programming language, Python libraries and Python virtual environments and learn how can they be used for automation of network configuration tasks Get introduced to GIT version control system and its common operations Learn how to leverage the various models and APIs of the Cisco IOS XE platform to perform day-zero operations, improve troubleshooting methodologies with custom tools, augment the CLI using scripts, and integrate various workflows using Ansible and Python Learn about the paradigm shift of model-driven telemetry and the building blocks of a working solution Learn how to leverage the tools and APIs to automate Cisco DNA infrastructure managed by Cisco DNA Center™ Demonstrate workflows (configuration, verification, health checking, and monitoring) using Python, Ansible, and Postman Understand Cisco SD-WAN solution components, implement a Python library that works with the Cisco SD-WAN APIs to perform configuration, inventory management, and monitoring tasks, and implement reusable Ansible roles to automate provisioning new branch sites on an existing Cisco SD-WAN infrastructure Learn how to leverage the tools and APIs to automate Cisco Meraki managed infrastructure and demonstrate workflows (configuration, verification, health checking, monitoring) using Python, Ansible, and Postman Implementing Automation for Cisco Enterprise Solutions (ENAUI) v.1.2 teaches you how to implement Cisco Enterprise automated solutions, including programming concepts, orchestration, telemetry, and automation tools. This course highlights the tools and the benefits of leveraging programmability and automation in the Cisco-powered Enterprise Campus and WAN. You will also examine platforms including IOS XE software for device-centric automation, Cisco DNA Center for the intent-based enterprise network, Cisco Software-Defined WAN, and Cisco Meraki. Their current ecosystem of APIs, software development toolkits, and relevant workflows are studied in detail together with open industry standards, tools, and APIs, such as Python, Ansible, Git, JSON/YAML, NETCONF/RESTCONF, and YANG. The course qualifies for 24 Cisco Continuing Education credits (CE) towards recertification. This course will help you:Gain high-demand skills using modern programming languages, APIs, and systems such as Python, Ansible, and Git to automate, streamline, and enhance business operationsAcquire the skills and knowledge to customize tools, methods, and processes that improve network performance and agilityPrepare for the 300-435 ENAUTO exam COURSE OUTLINE * Network Programmability Foundation * Automating APIs and Protocols * Managing Configuration with Python and Ansible * Implementing On-Box Programmability and Automation with Cisco IOS XE Software * Implementing Model-Driven Telemetry * Day 0 Provisioning with Cisco IOS-XE Software * Implementing Automation in Enterprise Networks * Building Cisco DNA Center Automation with Python * Automating Operations using Cisco DNA Center * Introducing Cisco SD-WAN Programmability * Building Cisco SD-WAN Automation with Python * Building Cisco SD-WAN Automation with Ansible * Automating Cisco Meraki * Implementing Meraki Integration APIs ADDITIONAL COURSE DETAILS: Nexus Humans Cisco Implementing Automation for Cisco Enterprise Solutions v1.2 (ENAUI) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Implementing Automation for Cisco Enterprise Solutions v1.2 (ENAUI) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Linux for Networking Engineers (CCNA, CCNP, CCIE etc): Practical Linux with GNS3 = network programmability and automation.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for network and software engineers who hold the following job roles: Network engineer Systems engineer Wireless engineer Consulting systems engineer Technical solutions architect Network administrator Wireless design engineer Network manager Site reliability engineer Deployment engineer Sales engineer Account manager Overview After taking this course, you should be able to: Leverage the tools and APIs to automate Cisco ACI powered data centers. Demonstrate workflows (configuration, verification, healthchecking, monitoring) using Python, Ansible, and Postman. Leverage the various models and APIs of the Cisco Nexus OS platform to perform day 0 operations, improve troubleshooting methodologies with custom tools, augment the CLI using scripts, and integrate various workflows using Ansible and Python. Describe the paradigm shift of Model Driven Telemetry and understand the building blocks of a working solution. Describe how the Cisco Data Center compute solutions can be managed and automated using API centric tooling, by using the Python SDK, PowerTool, and Ansible modules to implement various workflows on Cisco UCS, Cisco IMC, Cisco UCS Manager, Cisco UCS Director, and Cisco Intersight. The Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 course teaches you how to implement Cisco© Data Center automated solutions including programming concepts, orchestration, and automation tools. Through a combination of lessons and hands-on practice, you will manage the tools and learn the benefits of programmability and automation in the Cisco-powered Data Center. You will examine Cisco Application Centric Infrastructure (Cisco ACI©), Software-Defined Networking (SDN) for data center and cloud networks, Cisco Nexus© (Cisco NX-OS) platforms for device-centric automation, and Cisco Unified Computing System (Cisco UCS©) for Data Center compute. You will study their current ecosystem of Application Programming Interfaces (APIs), software development toolkits, and relevant workflows along with open industry standards, tools, and APIs, such as Python, Ansible, Git, JavaScript Object Notation (JSON), Yaml Ain't Markup Language (YAML), Network Configuration Protocol (NETCONF), Representational State Transfer Configuration Protocol (RESTCONF), and Yet Another Generation (YANG).This course prepares you for the 300-635 Automating Cisco Data Center Solutions (DCAUTO) certification exam. Introducing Automation for Cisco Solutions (CSAU) is required prior to enrolling in Implementing Automation for Cisco Data Center Solutions (DCAUI) because it provides crucial foundational knowledge essential to success. This course also earns you 24 Continuing Education (CE) credits towards recertification. COURSE OUTLINE * Describing the Cisco ACI Policy Model * Describing the Cisco APIC REST API * Using Python to Interact with the ACI REST API * Using Ansible to Automate Cisco ACI * Introducing Cisco NX-OS Programmability * Describing Day-Zero Provisioning with Cisco NX-OS * Implementing On-Box Programmability and Automation with Cisco NX-OS * Implementing Off-Box Programmability and Automation with Cisco NX-OS * Automating Cisco UCS Using Developer Tools * Implementing Workflows Using Cisco UCS Director * Describing Cisco DCNM * Describing Cisco Intersight ADDITIONAL COURSE DETAILS: Nexus Humans Cisco Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Linux system administrators, site reliability engineers, and other IT professionals with some Ansible experience who are interested in learning how to manage and automate the deployment, configuration, and operation of key network services included with Red Hat Enterprise Linux 8. Overview Provide key network services using software included with Red Hat Enterprise Linux 8, including DNS with Unbound and BIND9, DHCP and DHCPv6, client e-mail transmission, printing service, NFS and SMB protocol file sharing, SQL database service with MariaDB, and web services using Apache HTTPD, nginx, Varnish, and HAProxy. Configure advanced networking for server use cases, including device teaming. Use Red Hat Ansible Engine to automate the manual deployment and configuration tasks covered in this course. Learn how to configure, manage, and scale key services used in the data center Red Hat Services Management and Automation (RH358) is designed for IT professionals with some experience managing Linux© systems and want to learn more about how to manage and deploy network services included with Red Hat© Enterprise Linux which are particularly important in the modern IT data center. You will learn how to install, configure, and manage basic configurations of these services manually, and then use Red Hat Ansible© Engine to automate your work in a scalable, repeatable manner. This course is based on Red Hat Ansible Engine 2.9 and Red Hat Enterprise Linux 8.1. 1 - MANAGE NETWORK SERVICES * Discuss and review key tools and skills needed to manage network services. 2 - CONFIGURE LINK AGGREGATION * Improve the redundancy or throughput of network connections of servers by configuring Linux network teaming between multiple network interfaces. 3 - MANAGE DNS AND DNS SERVERS * Explain the operation of DNS service, troubleshoot DNS issues, and configure servers to act as a DNS caching nameserver or as an authoritative name server. 4 - MANAGE DHCP AND IP ADDRESS ASSIGNMENT * Explain and configure services used for IPv4 and IPv6 address assignment including DHCP, DHCPv6, and SLAAC. 5 - MANAGE PRINTERS AND PRINTING FILES * Configure systems to print to a network printer that supports IPP Everywhere, as well as manage existing printer queues. 6 - CONFIGURE EMAIL TRANSMISSION * Discuss how mail servers operate, then configure a server to use system tools and Postfix to send email messages through an outbound mail relay. 7 - CONFIGURE MARIADB SQL DATABASES * Discuss the basic operation of SQL-based relational databases, perform basic SQL queries for troubleshooting, and be able to set up a simple MariaDB database service. 8 - CONFIGURE WEB SERVERS * Provide web content from Apache HTTPD or Nginx web servers, then configure them with virtual hosts and TLS-based encryption. 9 - OPTIMIZE WEB SERVER TRAFFIC * Improve performance of your web servers by using Varnish to cache static content being served and HAProxy to terminate TLS connections and balance load between servers. 10 - PROVIDE FILE-BASED NETWORK STORAGE * Deliver simple file-based network shares to clients using the NFS and SMB protocols. 11 - ACCESS BLOCK-BASED NETWORK STORAGE * Configure iSCSI initiators on your servers to access block-based storage devices provided by network storage arrays or Ceph storage clusters.

Learn Kubernetes from scratch with this course and gain the skills necessary to deploy and manage containerized applications.

Duration 2 Days 12 CPD hours This course is intended for This course is designed primarily for customer engineers and systems engineers in the following job roles: Automation architect Automation engineer Consulting systems engineer DevOps engineer Network administrator Network architect Network consulting engineer Network design engineer Network engineer Network operator Network reliability engineer Sales engineer Site reliability engineer Systems engineer Technical solutions architect Overview After taking this course, you should be able to: Articulate the role network automation and programmability play in the context of end-to-end network management and operations Define and differentiate between waterfall and agile software development methodologies Interpret and troubleshoot Python scripts with fundamental programming constructs built for network automation use cases Describe how DevOps principles, tools, and pipelines can be applied to network operations Understand the role of network automation development environments and associated technologies such as Python virtual environments, Vagrant, and Docker Understand and construct HTTP-based API calls to network devices Articulate the differences among and common use cases for XML, JSON, YAML, and protobuf Construct and interpret Python scripts using the Python requests module to automate devices that have HTTP-based APIs Understand the role YANG plays in network automation Understand that a number of tools exist to simplify working with YANG models Describe the functionality of RESTCONF and NETCONF and the differences between them Construct Ansible playbooks to configure network devices and retrieve operational state data from them Build Jinja2 templates and YAML data structures to generate desired state configurations The Introducing Automation for Cisco Solutions (CSAU) v1.1 course gives you a broad overview of network automation skills. Through a combination of lecture and hands-on labs, you will learn the fundamentals of automation such as working on model-driven programmability solutions with Representational State Transfer Configuration Protocol (RESTCONF) and Network Configuration Protocol (NETCONF) protocols. The course also covers data formats and types, including Extensible Markup Language (XML), JavaScript Object Notation (JSON), Yaml Ain?t Markup Language (YAML), and Yet Another Next Generation (YANG), and their value in network automation, along with DevOps tools such as Ansible and Git. COURSE OUTLINE * Examining Network Management and Operations * Exploring Software Development Methodologies * Using Python for Network Automation * Describing NetDevOps: DevOps for Networking * Managing Automation Development Environments * Introducing HTTP Network APIs * Reviewing Data Formats and Data Encoding * Using Python Requests to Automate HTTP-Based APIs * Exploring YANG * Using YANG Tools * Automating Model-Driven APIs with Python * Introducing Ansible for Network Automation * Templating Configurations with Jinja2

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and system integrators responsible for using the advanced features of vRealize Automation in enterprise deployments. Overview By the end of the course, you should be able to meet the following objectives Describe and configure the vRealize Automation in a clustered enterprise deployment using VMware vRealize Suite Lifecycle Manager™ Scale VMware Identity Manager™ to support High Availability. Configure security certificates in vRealize Automation from external Certificate Authorities. Describe the clustered deployment architecture, including Kubernetes pods and services. Create and configure advanced blueprints with complex YAML and cloudConfig. Use vRealize Automation advanced blueprints to deploy an actual 2-tier DB-Server using MySQL and phpMyAdmin. Practice troubleshooting techniques with advanced YAML blueprints in vRealize Automation. Use advanced VMware NSX-TTM Data Center networking features including NAT, routed networks, load balancers, security groups, and tags. Use VMware Code Stream™ to integrate vRealize Automation with Kubernetes. Create Code Stream pipelines. Create and use Ansible playbooks that integrate with vRealize Automation. Configure vRealize Automation to integrate with Puppet. Configure and use ABX actions to create day-2 actions and interface with PowerShell scripts. Use vracli commands, log files, and VMware vRealize Log Insight™ to troubleshoot vRealize Automation and vRealize Automation deployments. This five-day course is a follow-on to the VMware vRealize© Automation? Install, Configure, Manage course. In this course you go deeper into the advanced features of vRealize Automation to deploy user systems and interface vRealize Automation with other platforms and you learn how to deploy an enterprise-level cluster environment using LCM. This course relies heavily on hands-on labs. COURSE INTRODUCTION * Introductions and course logistics * Course objectives VREALIZE AUTOMATION CLUSTERED DEPLOYMENT * Use LCM in a clustered deployment * Configure External Certificates * Configure NSX-T Data Center load balancer * Install vRealize Automation using Clustered Deployment * Scale VMware Identity Manager to support High Availability VREALIZE AUTOMATION CLUSTERED DEPLOYMENT ARCHITECTURE * List of Kubernetes Pods * The vRealize Automation Kubernetes Architecture * Relationship of Kubernetes Pods to Services * Logs and their locations * Blueprint deployment workflow with Kubernetes Service interaction * Backup strategies and potential problems ADVANCED BLUEPRINTS * Use advanced YAML and cloudConfig to deploy a functioning 2-tier application with a phpMyAdmin front-end server and a MySQL database server * Use troubleshooting techniques to debug problems in advanced YAML blueprints * List the log files that can aid in troubleshooting blueprint deployment ADVANCED NETWORKING * Use VMware NSX-T Data Center advanced features in blueprints * Interfacing to IPAMs * Use NSX-T Data Center NAT in blueprints * Use NSX-T Data Center routed networks * Use NSX-T Data Center load balancers * Use NSX-T Data Center security groups * Use tags with NSX-T Data Center network profiles USING VREALIZE ORCHESTRATOR * Create Day-2 Actions with vRealize Orchestrator workflows * Troubleshoot vRealize Orchestrator cluster issues * Use vRealize Orchestrator to add computer objects to Active Directory when vRealize Automation deploys blueprints * Use a tagging approach to vRealize Orchestrator workflows * Use dynamic forms with vRealize Orchestrator USING ABX ACTIONS * Determine when to use ABX and when to use vRealize Orchestrator * Use ABX to create day-2 Actions * Call PowerShell from ABX KUBERNETES INTEGRATION * Create a Kubernetes namespace from vRealize Automation * Connect to an existing Kubernetes cluster * Automate the deployment of an application to a Kubernetes cluster with Code Stream * Use Kubernetes in Extensibility CODE STREAM * Create and use CI/CD pipelines * Use the Code Stream user interface * Add states and tasks to a Code Stream pipeline * Integrate code from Code Stream with Git USING GITLAB INTEGRATION * Configure the GitLab Integration * Use Gitlab with blueprints CONFIGURATION MANAGEMENT * Describe the use case of Ansible and Ansible Tower * Connect to Ansible Tower * Use Ansible playbooks * Use Puppet in configuration management TROUBLESHOOTING * vracli commands and when to use them * Check the status of Kubernetes pods and services * Correct the state of pods and services * Diagnose and solve vRealize Automation infrastructure problems * Diagnose and solve vRealize Automation failures to deploy blueprints and services * Use vRealize Log Insight for troubleshooting ADDITIONAL COURSE DETAILS: Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for System administrators, IT security administrators, IT security engineers, and other professionals responsible for designing, implementing, maintaining, and managing the security of Red Hat Enterprise Linux systems and ensuring their compliance with the organization's security policies. Be a Red Hat Certified Engineer (RHCE©), or demonstrate equivalent Red Hat Enterprise Linux knowledge and experience. Overview Students that complete this course should be able to demonstrate these skills: - Analyze and remediate system compliance using OpenSCAP and SCAP Workbench, employing and customizing baseline policy content provided with Red Hat Enterprise Linux. - Monitor security-relevant activity on your systems with the kernel's audit infrastructure. - Explain and implement advanced SELinux techniques to restrict access by users, processes, and virtual machines. - Confirm the integrity of files and their permissions with AIDE. - Prevent unauthorized USB devices from being used with USBGuard. - Protect data at rest but provide secure automatic decryption at boot using NBDE. - Proactively identify risks and misconfigurations of systems and remediate them with Red Hat Insights. - Analyze and remediate compliance at scale with OpenSCAP, Red Hat Insights, Red Hat Satellite, and Red Hat Ansible Tower. This course is ideal for security administrators and system administrators who need to manage the secure operation of servers running Red Hat© Enterprise Linux©, whether deployed on physical hardware, as virtual machines, or as cloud instances. Maintaining security of computing systems is a process of managing risk through the implementation of processes and standards backed by technologies and tools. In this course, you will discover and understand the resources that can be used to help you implement and comply with your security requirements. This course is based on Red Hat Enterprise Linux 7.5, Red Hat Satellite 6.3, Red Hat Ansible© Engine 2.5, Red Hat Ansible Tower 3.2, and Red Hat Insights. 1 - MANAGE SECURITY AND RISK * Define strategies to manage security on Red Hat Enterprise Linux servers. 2 - AUTOMATE CONFIGURATION AND REMEDIATION WITH ANSIBLE * Remediate configuration and security issues with Ansible Playbooks. 3 - PROTECT DATA WITH LUKS AND NBDE * Encrypt data on storage devices with LUKS and use NBDE to manage automatic decryption when servers are booted. 4 - RESTRICT USB DEVICE ACCESS * Protect system from rogue USB device access with USBGuard. 5 - CONTROL AUTHENTICATION WITH PAM * Manage authentication, authorization, session settings, and password controls by configuring pluggable authentication modules (PAMs). 6 - RECORD SYSTEM EVENTS WITH AUDIT * Record and inspect system events relevant to security, using the Linux kernel's audit subsystem and supporting tools. 7 - MONITOR FILE SYSTEM CHANGES * Detect and analyze changes to a server's file systems and their contents using AIDE. 8 - MITIGATE RISK WITH SELINUX * Improve security and confinement between processes by using SELinux and advanced SELinux techniques and analyses. 9 - MANAGE COMPLIANCE WITH OPENSCAP * Evaluate and remediate a server's compliance with security policies by using OpenSCAP. 10 - AUTOMATE COMPLIANCE WITH RED HAT SATELLITE * Automate and scale your ability to perform OpenSCAP checks and remediate compliance issues using Red Hat Satellite. 11 - ANALYZE AND REMEDIATE ISSUES WITH RED HAT INSIGHTS * Identify, detect, and correct common issues and security vulnerabilities with Red Hat Enterprise Linux systems by using Red Hat Insights. 12 - PERFORM A COMPREHENSIVE REVIEW * Review the content covered in this course by completing hands-on review exercises. ADDITIONAL COURSE DETAILS: Nexus Humans Red Hat Security - Linux in Physical, Virtual, and Cloud (RH415) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat Security - Linux in Physical, Virtual, and Cloud (RH415) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.