3794 Engineer courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for This course is suitable for anyone responsible for configuring, managing or supporting a Veeam Availability Suite v10 environment. Overview After completing this course, attendees should be able to: Describe Veeam Availability Suite components usage scenarios and relevance to their own environment. Effectively manage data availability in on-site, off-site, cloud and hybrid environments. Ensure both Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs) are met. Install and configure Veeam Availability Suite into their environment, ensuring data is protected effectively. Adapt with an organization's evolving technical, business and regulatory needs. Ensure recovery is possible, effective, efficient, secure and compliant with business and legal requirements. Provide visibility of the business data assets, and produce effective reports and dashboards to monitor performance and risks. Conduct basic troubleshooting and analysis of their Veeam Availability Suite environment. This three-day, technical deep dive Veeam© Availability Suite? v10: Configuration and Management training course is focused on teaching IT professionals the skills to configure, manage and support a Veeam Availability Suite v10 solution. With extensive hands-on-labs, the class enables administrators and engineers to effectively manage data in an ever-changing technical and business environment, bringing tangible benefit to businesses in the digital world. Introduction Describe RTOs and RPOs, what they mean for your business, how to manage and monitor performance against them The 3-2-1 Rule and its importance in formulating a successful backup strategy Identify key Veeam Availability Suite components and describe their usage scenarios Building Backup Capabilities Backup methods, the appropriate use cases and impact on underlying file systems Create, modify, optimize and delete backup jobs, including NAS Backup jobs. Explore different tools and methods, such as BitLooker? and Deduplication, to maximize environment performance Global Settings and their usage to prevent production performance bottlenecks, encrypt network traffic data and control network jurisdiction Restoring from Backup Identify and describe the different restore tools and their features. Ensure you have the confidence to use the correct restore tool at the right time Using Secure Restore to prevent the restoration of malware Disaster recovery from backup, respond accordingly to a variety of real-world recovery scenarios Backup Copy Jobs Simple vs Advanced Backup Copy Jobs, how to create and modify them using best practices to ensure efficient recovery Utilizing tape jobs, how to create and modify Replication Identify and describe the options available for replication, the use cases and impacts of using Create, modify and delete replication jobs, outline considerations to ensure success Failover Identify and describe in detail, failover features and the appropriate usage Develop, prepare and test failover plans to ensure recovery Disaster recovery from replica, respond accordingly to a variety of real-world recovery scenarios Advanced Repository Capabilities Ensure efficiency by being able to select appropriate transport modes while being aware of the impact of various backup functions on the infrastructure Ensure scalability by integrating off-site S3 storage Ensure compatibility with existing deduplication appliances Testing Backup and Replication Testing backups and replicas to ensure you can recover, what you need, when you need to Configure Veeam DataLabs? and setup sandbox environments based on backup, replicas and storage snapshots Using Veeam DataLabs Staged Restore to manage and comply with General Data Protection Regulation (GDPR) legislation before releasing restores to production Veeam Backup Enterprise Manager Manage multiple Veeam Backup & Replication? installations from a single web console, maintaining a view of your entire virtual environment, ensuring data protection of ROBO and Enterprise environments. Create user and group roles, delegate workloads whilst maintaining data control Enable encryption password loss protection, helping to restore encrypted data in case of lost or forgotten encryption passwords Veeam ONE Monitor your Virtual, Physical and Cloud environments with Veeam ONE? and assess the different views available Configure Veeam ONE for your specific technical and business requirements, describe the alarm options available and how to customize their usage Set up, use and customize Veeam ONE Reporter, creating the reports and dashboards you require technically and for the business Support Locate, migrate or restore backup configuration Identify and locate appropriate support resources Troubleshooting methodology to identify, isolate and remediate support issues Additional course details: Nexus Humans VEEAM-VMCE Availability Suite v10.0: Configuration and Management 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 VEEAM-VMCE Availability Suite v10.0: Configuration and Management 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 4 Days 24 CPD hours This course is intended for Students in this course are interested in implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam. Overview After completing this course, students will be able to: Plan for the transformation with shared goals and timelines Select a project and identify project metrics and Key Performance Indicators (KPI's) Create a team and agile organizational structure Design a tool integration strategy Design a license management strategy (e.g., Azure DevOps and GitHub users) Design a strategy for end-to-end traceability from work items to working software Design an authentication and access strategy Design a strategy for integrating on-premises and cloud resources Describe the benefits of using Source Control Describe Azure Repos and GitHub Migrate from TFVC to Git Manage code quality including technical debt SonarCloud, and other tooling solutions Build organizational knowledge on code quality Explain how to structure Git repos Describe Git branching workflows Leverage pull requests for collaboration and code reviews Leverage Git hooks for automation Use Git to foster inner source across the organization Explain the role of Azure Pipelines and its components Configure Agents for use in Azure Pipelines Explain why continuous integration matters Implement continuous integration using Azure Pipelines Define Site Reliability Engineering Design processes to measure end-user satisfaction and analyze user feedback Design processes to automate application analytics Manage alerts and reduce meaningless and non-actionable alerts Carry out blameless retrospectives and create a just culture Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure Implement compliance and security in your application infrastructure Describe the potential challenges with integrating open-source software Inspect open-source software packages for security and license compliance Manage organizational security and compliance policies Integrate license and vulnerability scans into build and deployment pipelines Configure build pipelines to access package security and license ratings This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms. Module 1: Get started on a DevOps transformation journey Introduction to DevOps Choose the right project Describe team structures Choose the DevOps tools Plan Agile with GitHub Projects and Azure Boards Introduction to source control Describe types of source control systems Work with Azure Repos and GitHub Module 2: Development for enterprise DevOps Structure your Git Repo Manage Git branches and workflows Collaborate with pull requests in Azure Repos Explore Git hooks Plan foster inner source Manage Git repositories Identify technical debt Module 3: Implement CI with Azure Pipelines and GitHub Actions Explore Azure Pipelines Manage Azure Pipeline agents and pools Describe pipelines and concurrency Explore Continuous integration Implement a pipeline strategy Integrate with Azure Pipelines Introduction to GitHub Actions Learn continuous integration with GitHub Actions Design a container build strategy Module 4: Design and implement a release strategy Introduction to continuous delivery Explore release strategy recommendations Build a high-quality release pipeline Introduction to deployment patterns Implement blue-green deployment and feature toggles Implement canary releases and dark launching Implement A/B testing and progressive exposure deployment Module 5: Implement a secure continuous deployment using Azure Pipelines Create a release pipeline Provision and test environments Manage and modularize tasks and templates Automate inspection of health Manage application configuration data Integrate with identity management systems Implement application configuration Module 6: Manage infrastructure as code using Azure and DSC Explore infrastructure as code and configuration management Create Azure resources using Azure Resource Manager templates Create Azure resources by using Azure CLI Explore Azure Automation with DevOps Implement Desired State Configuration (DSC) Implement Bicep Module 7: Implement security and validate code bases for compliance Introduction to Secure DevOps Implement open-source software Software Composition Analysis Static analyzers OWASP and Dynamic Analyzers Security Monitoring and Governance Module 8: Design and implement a dependency management strategy Explore package dependencies Understand package management Migrate, consolidate, and secure artifacts Implement a versioning strategy Introduction to GitHub Packages Module 9: Implement continuous feedback Implement tools to track usage and flow Develop monitor and status dashboards Share knowledge within teams Design processes to automate application analytics Manage alerts, Blameless retrospectives and a just culture Additional course details: Nexus Humans AZ-400 Designing and Implementing Microsoft DevOps Solutions 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 AZ-400 Designing and Implementing Microsoft DevOps Solutions 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 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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 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

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) 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 Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) 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 2 Days 12 CPD hours This course is intended for vSphere administrators, architects, system engineers, and systems integrators who are responsible for the deployment or management of Site Recovery Manager Overview By the end of the course, you should be able to meet the following objectives: Summarize the components of Site Recovery Manager architecture Deploy and configure the Site Recovery Manager appliance Describe the principal disaster recovery topologies that are used with Site Recovery Manager Configure inventory and resource mappings Describe the storage replication options that are used with Site Recovery Manager Configure Site Recovery Manager to leverage array-based replication Describe VMware vSphere Replication™ functionality Describe the vSphere Replication architecture Deploy and configure vSphere Replication for use with Site Recovery Manager Build Site Recovery Manager array-based protection groups, protection groups based on vSphere Replication, and Virtual Volumes protection groups. Build, edit, execute, test, and remove a recovery plan Perform a planned migration This two-day, hands-on training course gives experienced VMware vSphere© administrators the knowledge to install, configure, and manage VMware Site Recovery Manager? 8.6. This course also shows you how to write and test disaster recovery plans that use Site Recovery Manager. Course Introduction Introductions and course logistics Course objectives Site Recovery Manager Architecture Describe Site Recovery Manager architecture Identify disaster recovery options with Site Recovery Manager Evaluate how Site Recovery Manager integrates with VMware products Describe Site Recovery Manager licensing options List the disaster recovery topologies supported by Site Recovery Manager Describe how VMware Site Recovery for VMware Cloud on AWS integrates with Site Recovery Manager Deploying and Configuring Site Recovery Manager Identify the vSphere and vCenter Server requirements for deploying Site Recovery Manager Define Site Recovery Manager virtual appliance system requirements Deploy the Site Recovery Manager appliance Navigate the Site Recovery Manager configuration UI Describe the process for registering Site Recovery Manager with vCenter Server Describe how to start and stop services in Site Recovery Manager Identify ways to perform updates to the Site Recovery Manager appliance Describe the options for accessing the Site Recovery Manager Describe the process for configuring site pairing Describe how to import and export Site Recovery Manager configuration Navigate the Site Recovery Manager configuration UI Describe the process for registering Site Recovery Manager with vCenter Server Describe how to start and stop services in Site Recovery Manager Identify ways to perform updates to the Site Recovery Manager appliance Describe the options for accessing the Site Recovery Manager Describe the process for configuring site pairing Describe how to import and export Site Recovery Manager configuration Configuring Inventory Mappings Explain the importance of inventory mappings Identify configuration options for inventory mappings Describe the importance of placeholder virtual machines and datastores Describe the importance of the vSphere inventory changes for Site Recovery Manager operation Using Array-Based Replication Describe array-based replication Describe Storage Replication Adapters and explain their role for the array-based replication Describe the concept and configuration of array pairs Describe datastore groups and the relationship between devices and datastore groups Describe the role of consistency groups Identify the advantages of array-based replication vSphere Replication Describe Site Recovery Manager with vSphere Replication Architecture Discuss the role of vSphere Replication components Discuss use cases for vSphere Replication Discuss system requirements and operational limits of vSphere Replication Determine how to calculate bandwidth requirements for vSphere Replication Identify the advantages of vSphere Replication Deploy a vSphere Replication appliance Configure a vSphere Replication appliance and register it with vCenter Server Pair vSphere Replication appliances Deploy an additional vSphere Replication server Register a vSphere Replication server with a vSphere Replication management server Replicating VMs Using vSphere Replication Describe the replication process used by vSphere Replication List vSphere Replication replica states Describe vSphere Replication of encrypted virtual machines Describe vSphere native key provider Describe how to configure vSphere Replication Discuss vSphere Replication RPO settings Describe MPIT instances Describe additional vSphere Replication settings Describe how to disable vSphere Replication Protection Groups Define protection group functionality Examine the differences between array-based protection groups, protection groups based on vSphere Replication, and Virtual Volumes protection groups Create a protection group View a placeholder virtual machine in the inventory Configure protection for virtual machines and edit protection groups Recovery Plans Discuss recovery plan concepts Discuss network planning Discuss the organization of storage for recovery plans Describe customization options in recovery planning Describe priority groups and VM dependencies Describe how to implement a recovery plan Configure VM recovery plan properties Describe the customization of recovery plans Configure additional steps in the recovery plan Delete a recovery plan Executing Recovery Plans Discuss use cases for Site Recovery Manager Describe planned migration Identify Site Recovery Manager workflows Examine Site Recovery Manager integration with various vSphere technologies Describe how to conduct a recovery plan test Perform a recovery plan test Identify the effect on the storage layer during the test recovery steps Review the recovery plan test steps Describe how to cancel a recovery plan test and clean up after recovery plan test cancelation Explain a recovery plan execution in planned migration or disaster recovery mode Identify the recovery steps for each execution type Describe a forced recovery Explain the importance of reprotection processes and states Examine failback steps Describe how to reprotect a data center Monitoring and Troubleshooting Identify Site Recovery Manager alarm options Generate Site Recovery Manager recovery plan history reports Configure Site Recovery Manager advanced settings Identify Site Recovery Manager logs Describe the vRealize Operations management pack for Site Recovery Manager

Duration 2 Days 12 CPD hours This course is intended for Executives, Project Managers, Business Analysts, Business and IT stakeholders working with analysts, Quality and process engineers, technicians, managers; supervisors, team leaders, and process operators; anyone who wants to improve their Business Analysis skills. Overview After completing this course, students will know how to: Plan, manage and close requirements for software development project in reduced time using Agile Scrum practices Minimize project uncertainty and risk by applying Agile principles through the Scrum method Ensure your project delivers required functionality and adds value to the business Create an environment of self-management for your software development team that will be able to continuously align the delivered software with desired business needs, easily adapting to changing requirements throughout the process. Learn how to apply Agile Scrum by measuring and evaluating status based on the undeniable truth of working, testing software, creating a more accurate visibility into the actual progress of projects. Many of today?s Project Management and Business Analyst Professionals are finding themselves leading, managing and analyzing on Agile development teams - only to find that many of the tools and techniques applied when using a traditional project management approach no longer work as effectively or at all. In order to do more than survive in this iterative development environment, today?s Project Manager and Business Analyst must employ additional project management and business analysis tools and techniques to effectively lead their teams and deliver their projects. Introduction - Fundamentals of Agile Why Agile? Exercise 1a: Waterfall-Lean-Agile Simulation History & Mindset: Understand how the agile approach arose. The Agile Lifecycle Introducing Agile to the organization Roles and Responsibilities on an Agile project team. Understand the purpose, the concepts, the theory, and some applications around the importance of people as individuals providing value through working in teams. Establishing core hours - How will the team work during a day? How to build end-to-end systems in early iterations Exercise 1b: How to build end-to-end systems in early iterations Planning and Managing Business Analysis Communication and Performance Agile and CMMI Exercise 1c: Case Study Project Assembling the team ? Scrum Roles Value-Driven Development: Understand why agile development focuses so heavily on working products, its more general casting as 'value-driven' development, with incremental, iterative and risk-driven approaches. Themes, theory and applications. Exercise 2a: Identify the ?Product Owner? Identify Project Success Criteria Exercise 2b: Review the Scrum Cheat Sheet Establish your Agile team using RACI Exercise 2c: Build the Scrum Team Define the Product and Project Vision Envision the Product and Project outcomes Exercise 3a: Review Agile Checklist Project Chartering (Project Planning) Assemble the Agile project team ? what are their responsibilities? Compile the Product Backlog (Coarse-Grain Requirements) Discuss how to Plan Sprints and Releases Exercise 3b: Product Vision ? Goals and Strategies Establish the Project ?time-box? Exercise 3c: Create a Release Plan Embrace the High-Level (Coarse-Grain) Plan Managing different types of Personas on an Agile Project Identifying and managing ?Information Radiators? Planning in Agile Projects ? Common practices that work Determine how the team will tracking and monitoring activities Exercise 3c: Establish the Project Time-box Tools and Techniques ? Building the Scrum Task board Communications Exercise 4a: Discussion ? Tools and Techniques for Scrum Planning, Monitoring and Adapting Scrum Task Board Exercise 4c: Create a Scrum Task board ? Identify work streams Agile Estimating Agile Analysis and Design Burndown Chart Team Velocity Soft Skills Negotiation Estimating ad Prioritizing Effort Planning Releases. Understand the value, the concepts, the theory and some applications for learning and adapting at all levels and on all topics (the product, the process, the team, and the organization). Exercise 5a: Brainstorm Business Functionality Establishing decision and acceptance criteria for user stories Planning Poker Exercise 5b: Estimate Effort (Coarse-Grain) Prioritize themes and releases Prioritize user stories Exercise 5c: Confirm the Estimated Effort (Fine Grain) Estimating team velocity Preparing for change ? Is the organization ready? Exercise 5d: Hold a daily Scrum and update the Scrum Task Board Exercise 5e: Conduct a Scrum or Scrums Plan the Iteration (Sprint) Sprint Zero activities Elements of a successful Sprint Planning meeting Create a Sprint Backlog How to create a task board Exercise 6a: Using the case study ? Review Iteration Planning Checklist Create a Sprint plan ? Establishing Sprint success metrics Exercise 6b: Discussion Sprint ?Zero? Activities Define the vision and Iteration Requirements Estimating the level of effort (LOE) with the team Creating user Stories for the Product Backlog -Guidelines to consider The art of slicing user stories Exercise 6c: Review the Sprint Plan Managing the Solution Scope and Requirements using 2-4 week Sprints Exercise 6d: Adapting a change-driven Project plan that works Adapting a change-driven (Agile) Project plan that works ? what are the key differences from traditional (waterfall) project plans? Finalize the Iteration Plan and how the team will operate Running the Sprint - from Planning to Review and Retrospective Managing your Scrums and setting expectations with your team Exercise 7a: Using the case study ? Review the Review Planning checklist Using Burndown charts to track progress Exercise 7b: Using the case study ? Review the Review Retrospective checklist Manage changes during the Sprint ? What questions to ask Prepare for the Sprint Review Exercise 7c: Review of roles - Quiz Obtain Customer Acceptance of the Product Increment Hold a Sprint Retrospective - What is working and what needs to be improved upon during the Sprints Update the product backlog - Rework the High-Level (Coarse-Grain) Plan Plan and Execute the next Sprint Create an environment for continuous improvement ? Product, Process and People Additional Information Useful books and links on Agile

Duration 5 Days 30 CPD hours This course is intended for Cloud architects, systems engineers, data center administrators, and cloud administrators with experience in a service provider or managed services environment. Overview By the end of the course, you should be able to meet the following objectives: Describe how VMware Integrated OpenStack fits into the VMware SDDC and its use cases List the deployment options and how to install VMware Integrated OpenStack Describe the architecture of VMware Integrated OpenStack and its components Configure tenancy and manage user authentication Integrate the OpenStack Neutron Networking service with VMware NSX-T™ Data Center networking platform Deploy and manage virtual machine instances Monitor VMware Integrated OpenStack with OpenStack monitoring services Design an auto-scale, multitier application using built-in automation tools Manage a VMware Integrated OpenStack control plane using Kubernetes Use the HTML5 Web UI and CLI commands to view and edit the configuration, monitor log files, and view database tables used by VMware Integrated OpenStack components This five-day course provides you with the skills to build a private cloud using VMware© Integrated OpenStack on a proven VMware SDDC. Through a combination of lecture and hands-on labs, this course builds your skills in installing, configuring, and managing VMware Integrated OpenStack. You learn how to offer IaaS and PaaS with advanced networking and security features to end users using VMware Integrated OpenStack. Course Introduction Introductions and course logistics Course objectives References and resources Introduction to VMware Integrated OpenStack Describe what an OpenStack is Describe the services that make up VMware Integrated OpenStack Describe what VMware Integrated OpenStack is Describe what is NFV and how does VIO fit in Understand the licensing model of VIO Understand the use cases of VMware Integrated OpenStack VMware Integrated OpenStack Deployment Understand the role of Kubernetes in the VIO control plane List the VMware Integrated OpenStack deployment models How to perform VIO high-availability deployment How to perform VIO compact installation Pre-requisites for installing VMware Integrated OpenStack How to use the HTML5 web UI / VIOCLI to check the deployment configurations and deployment running status Explain steps involved in patching VIO high availability setup VMware Integrated OpenStack Architecture List the VMs deployed after a VMware Integrated OpenStack high-availability installation Describe the overall architecture of the VIO HA setup List the VIO services running within Kubernetes pods Describe the role of each service Understand ssl certificates in VIO Keystone Authentication Understand keystone use cases and services List the features offered by keystone in VIO How to integrate keystone with LDAP List the configuration, view logs, and database tables related to keystone Glance Images Understand Glance use case and its services List the features offered by Glance in VIO Explain how to create flavors and images Describe how to set up metadata, for example SPBM storage policy List the custom resources/logs and database tables related to Glance Networking with Neutron Understand the Neutron use case and its services Integrate Neutron with NSX-T Data Center List the custom resources, logs, and database tables related to Neutron Managing Instances with Nova Understand Nova use cases and services Understand regions, availability zones, and host aggregates Understand the concept of tenant VDC Nova support for multiple vCenter instances How to deploy an instance using Nova How to resize an instance and view the console logs Configuration and logs related to Nova service Cinder Block Storage Understand Cinder use cases and services List the features offered by Cinder Adding a persistent volume to an instance Explain the Snapshot of a Cinder volume and attach it to another instance List the custom resources, log files, and database tables related to Cinder Monitoring with Ceilometer List the Telemetry use cases and services How to enable Ceilometer in VIO How to monitor the VIO environment using Ceilometer Configuration and log files related to Ceilometer service Automating with Heat Define Heat use cases templates and services Describe use cases of Heat Troubleshooting Concepts List common issues in VMware Integrated OpenStack Use troubleshooting tools Describe simple troubleshooting procedures List and explain Day-2 operations Advanced Features Describe Load Balancer as a Service (Octavia) Explain Firewall as a Service Describe Designate (DNS as a Service) Demonstrate automating scaling Describe selective vCPU pinning Explain SRIOV network redundancy support Describe network trunk services support Describe Live resize Describe hardware passthrough (GPU pass through) Describe external REST API Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Integrated Openstack: Install, Configure, Manage [V7] 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 Integrated Openstack: Install, Configure, Manage [V7] 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 This course will help you: Prepare for entry-level job roles in the high-demand area of data center environments Prepare for courses that support the Cisco Certified Network Professional Data Center certification exams Gain knowledge and hands-on skills through Cisco's unique combination of lessons and hands-on practice using enterprise-grade Cisco learning technologies, data center equipment, and software Overview After taking this course, you should be able to: Describe the foundations of data center networking Describe Cisco Nexus products and explain the basic Cisco NX-OS functionalities and tools Describe Layer 3 first-hop redundancy Describe Cisco Fabric Extender (FEX) connectivity Describe Ethernet port channels and virtual port channel (VPCs) Introduce switch virtualization, machine virtualization, and network virtualization Compare storage connectivity options in the data center Describe Fibre Channel communication between the initiator server and the target storage Describe Fibre Channel zone types and their uses Describe N-Port Virtualization (NPV) and N-Port Identifier Virtualization (NPIV) Describe data center Ethernet enhancements that provide a lossless fabric Describe Fibre Channel over Ethernet FCoE Describe data center server connectivity Describe Cisco UCS Manager Describe the purpose and advantages of APIs Describe Cisco ACI Describe the basic concepts of cloud computing The Understanding Cisco Data Center Foundations (DCFNDU) v1.0 course helps you prepare for entry-level data center roles. In this course, you will learn the foundational knowledge and skills you need to configure Cisco© data center technologies including: networking, virtualization, storage area networking, and unified computing. You will get an introduction to Cisco Application Centric Infrastructure (Cisco ACI), automation and cloud computing. You will get hands-on experience with configuring features on Cisco Nexus Operating System (Cisco NX-OS) and Cisco Unified Computing System (Cisco UCS). This course also earns you 30 Continuing Education (CE) credits towards recertification. Describing the Data Center Network Architectures Cisco Data Center Architecture Overview Three-Tier Network: Core, Aggregation, and Access Spine-and-Leaf Network Two-Tier Storage Network Describing the Cisco Nexus Family and Cisco NX-OS Software Cisco Nexus Data Center Product Overview Cisco NX-OS Software Architecture Cisco NX-OS Software CLI Tools Cisco NX-OS Virtual Routing and Forwarding Describing Layer 3 First-Hop Redundancy Default Gateway Redundancy Hot Standby Router Protocol Virtual Router Redundancy Protocol Gateway Load Balancing Protocol Describing Cisco FEX Server Deployment Models Cisco FEX Technology Cisco FEX Traffic Forwarding Cisco Adapter FEX Describing Port Channels and VPCs Ethernet Port Channels Virtual Port Channels Supported VPC Topologies Describing Switch Virtualization Cisco Nexus Switch Basic Components Virtual Routing and Forwarding Cisco Nexus 7000 Virtual Device Contexts (VDCs) VDC Types VDC Resource Allocation VDC Management Describing Machine Virtualization Virtual Machines Hypervisor VM Manager Describing Network Virtualization Overlay Network Protocols Virtual Extensible LAN (VXLAN) Overlay VXLAN Border Gateway Protocol (BGP) Ethernet VPN (EVPN) Control Plane VXLAN Data Plane Cisco Nexus 1000VE Series Virtual Switch VMware vSphere Virtual Switches Introducing Basic Data Center Storage Concepts Storage Connectivity Options in the Data Center Fibre Channel Storage Networking Virtual Storage Area Network (VSAN) Configuration and Verification Describing Fibre Channel Communication Between the Initiator Server and the Target Storage Fibre Channel Layered Model Fabric Login (FLOGI) Process Fibre Channel Flow Control Describing Fibre Channel Zone Types and Their Uses Fibre Channel Zoning Zoning Configuration Zoning Management Describing Cisco NPV Mode and NPIV Cisco NPV Mode NPIV Mode Describing Data Center Ethernet Enhancements Institute of Electrical and Electronic Engineers (IEEE) Data Center Bridging Priority Flow Control Enhanced Transmission Selection Data Center Bridging Exchange (DCBX) Protocol Congestion Notification Describing FCoE Cisco Unified Fabric FCoE Architecture FCoE Initialization Protocol FCoE Adapters Describing Cisco UCS Components Physical Cisco UCS Components Cisco Fabric Interconnect Product Overview Cisco I/O Module (IOM) Product Overview Cisco UCS Mini Cisco Integrated Management Controller (IMC) Supervisor Cisco Intersight? Describing Cisco UCS Manager Cisco UCS Manager Overview Identity and Resource Pools for Hardware Abstraction Service Profiles and Service Profile Templates Cisco UCS Central Overview Cisco HyperFlex? Overview Using APIs Common Programmability Protocols and Methods How to Choose Models and Processes Describing Cisco ACI Cisco ACI Overview Multitier Applications in Cisco ACI Cisco ACI Features VXLAN in Cisco ACI Unicast Traffic in Cisco ACI Multicast Traffic in Cisco ACI Cisco ACI Programmability Common Programming Tools and Orchestration Options Describing Cloud Computing Cloud Computing Overview Cloud Deployment Models Cloud Computing Services Additional course details: Nexus Humans Cisco Understanding Cisco Data Center Foundations v1.1 (DCFNDU) 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 Understanding Cisco Data Center Foundations v1.1 (DCFNDU) 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 The primary audiences for this course are the following: • Operators of Juniper Networks security solutions, including network engineers, administrators, support personnel, and resellers. Overview After successfully completing this course, you should be able to: Identify security challenges in today's networks. Identify products that are incorporated into the Juniper Connected Security solution. Explain the value of implementing security solutions. Explain how Juniper Connected Security solves the cyber security challenges of the future. Explain SRX Series session management. Explain Junos ALG functions and when to use them. Describe policy logging on the SRX series device. Explain security policy scheduling. Describe application security theory. Explain application signature usage in AppID. Describe the AppTrack service. Describe the AppFW service. Describe the AppQoS service. Configure security policies using the AppSecure suite of services. Explain unified security policies. Describe IPS signatures. Configure an IPS policy using pre-defined templates. Describe how to update the IPS attack object database. Describe IPS rules and rule bases. Configure custom attack objects. Describe Junos Space and Security Director. Configure policy management using Security Director. Describe Security Director objects. Explain the different licensing options for Sky ATP List Sky ATP's features and benefits. Configure Sky ATP profiles and enroll an SRX Series device. Configure file scanning on Sky ATP. Configure Sky ATP to scan email Configure GeoIP on Sky ATP. Describe the JATP features and benefits List the JATP device options. Explain the JATP architecture. List 3rd party support options for JATP. Explain JATP SmartCore analytics processes. Describe Policy Enforcer configuration options. Describe Policy Enforcer integration with Sky ATP. Configure Policy Enforcer to block lateral malware movement. Explain Juniper Secure Analytics features and benefits. Describe JSA log collection. Describe JSA network flow collection. Describe the JSA Offense Management workspace. Explain the JSA Risk Manager features. Configure JSA to collect network and log collection. Explain the features of JIMS. Describe JIMS integration into the current AD network. Describe the Sky Enterprise service and how it can save resources. Explain the Sky Enterprise monitoring service. Explain the vSRX Series device benefits. Describe use cases for the vSRX. Explain the cSRX Series device benefits. Describe use cases for the cSRX. Describe SSL Proxy Concepts. Explain Forward and Reverse Proxy and the limitations of each. Configure both Forward and Reverse Proxy. This five-day course uses the Junos J-Web, CLI, Junos Space, and other user interfaces to introduce students to the concept of Juniper Connected Security. Chapter 1: Course Introduction Course Introduction Chapter 2: CLI Overview User Interface Options Command-Line Interface Initial Configuration Interface Configuration Lab 1: CLI Overview Chapter 3: Advanced Security Policy Session Management Junos ALGs Policy Scheduling Policy Logging Lab 2: Advanced Security Policy Chapter 4: Application Security Theory Application ID Application Signatures App Track App Firewall App QoS App QoE Chapter 5: Application Security Implementation AppTrack Implementation AppFW Implementation AppQos Implementation APBR Implementation Lab 3: Application Security Chapter 6: Intrusion Detection and Prevention IPS Overview IPS Policy Attack Objects IPS Configuration IPS Monitoring Lab 4: Implementing IPS Chapter 7: Security Director Overview Security Director Objects Security Director Policy Management Lab 5: Security Director Chapter 8: Sky ATP Implementation Architecture and Key Components Features and Benefits Configuration Compromised Hosts Command and Control File Scanning E-mail Scanning Geo IP Security Policy Integration Troubleshooting Lab 6: Sky ATP Implementation Chapter 9: Policy Enforcer Policy Enforcer Concepts Configuration Options Policy Enforcer Installation Lab 7: Policy Enforcer Chapter 10: JATP Overview Traffic Inspection Threat Detection Threat Analysis JATP Architecture Chapter 11: JATP Implementation Data Collectors Configure SmartCore Analytics Engine Log Ingestion Incident Management SRX Threat Prevention 3rd Party support for Threat Prevention Reporting Lab 8: JATP Chapter 12: Juniper Secure Analytics (JSA) JSA Overview Data Collection Log Analytics Threat Analytics Vulnerability Management Risk Management Lab 9: JSA Chapter 13: JIMS JIMS Overview JIMS Integration Lab 10: JIMS Chapter 14: vSRX and cSRX vSRX Overview vSRX Supported Features vSRX Use Cases cSRX Overview Lab 11: vSRX Installation Chapter 15: SSL Proxy SSL Proxy Overview SSL Concepts SSL Proxy Configurations Troubleshooting Lab 12: SSL Proxy Chapter 16: Cluster Concepts Chassis Cluster Concepts Chassis Cluster Operation Chapter 17: Chassis Cluster Implementation Chassis Cluster Configuration Chassis Cluster Advanced Options Lab 13: Chassis Cluster Implementation Chapter 18: Chassis Cluster Troubleshooting Chassis Cluster Case Studies Troubleshooting Examples Lab 14: Chassis Cluster Troubleshooting Additional course details: Nexus Humans JSEC - Junos Security 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 JSEC - Junos Security 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.