4424 Courses delivered Live Online

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 1 Days 6 CPD hours This course is intended for The primary audience for this course is database developers who plan to migrate their MongoDB or Cassandra DB workloads to Azure using Cosmos DB. Overview Building Globally Distributed Applications with Cosmos DB Migrate MongoDB Workloads to Cosmos DB Migrate Cassandra DB Workloads to Cosmos DB This course will teach the students what is Cosmos DB and how you can migrate MongoDB and Cassandra workloads to Cosmos DB. Building Globally Distributed Applications with Cosmos DB Cosmos DB overview Cosmos DB APIs Provisioning Throughput Partitioning/Sharding Best Practices Migrate MongoDB Workloads to Cosmos DB Understand Migration Benefits Migration Planning Data Migration Application Migration Post-migration considerations Migrate Cassandra DB Workloads to Cosmos DB Understand Migration Benefits Migration Planning Data Migration Application Migration Post-migration considerations Additional course details: Nexus Humans DP-060T00 Migrate NoSQL workloads to Azure Cosmos DB 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 DP-060T00 Migrate NoSQL workloads to Azure Cosmos DB 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 skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

Duration 5 Days 30 CPD hours This course is intended for IS Security Officers IS Managers Risk Managers Auditors Information Systems Owners IS Control Assessors System Managers Government Employees Overview The person who carries this certification should be able to acquire necessary resources, advise senior leadership, collaborate with stakeholders, evaluate effectiveness, identify cybersecurity problems, manage threats, oversee information security awareness programs, participate in risk assessments, support compliance activities, and define or implement policies and procedures to ensure protection of critical infrastructure within an information security environment. If you are looking for the ?gotta have it? cybersecurity course, then the Certified Information Systems Security Officer is for you.ÿ The C)ISSO will prepare you for multiple managerial roles inside the INFOSEC community by covering a broad range of topics. You will learn theories in security concepts, practices, monitoring and compliance in IS management. An Information Systems Security Officer is able to implement and maintain cost-effective security controls that are closely aligned with business and industry standards. The C)ISSO certification course is an idealÿway to increaseÿknowledge, expertise, and skill for managers, auditors, and INFOSEC professionals.ÿ At Mile2 we consider the C)ISSO to be one of our flagship courses.The things you learn in this course can be applied to management, prevention teams, and recovery professionals. Material learned in the Live Class or Self-Study options will apply directly to the certification exam. Course Outline Risk Management Security Management Identification and Authentication Access Control Security Models and Evaluation Operations Security Vulnerability Assessments Symmetric Cryptography and Hashing Network Connections Network Protocols and Devices Telephony, VPNs, and Wireless Security Architecture and Attacks Software Development Security Database Security Malware and Software Attacks Business Continuity Disaster Recovery Incident Management, Law, and Ethics Physical Security Additional course details: Nexus Humans C)ISSO - Certified Information Security Systems Officer Mile 2 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 C)ISSO - Certified Information Security Systems Officer Mile 2 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 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Cloud professionals who intend to take the Professional Cloud Architect certification exam. Overview Candidates will be able to identify skill gaps and further areas of study. Candidates will also be directed to appropriate target learning resources. Students in this course will prepare for the Professional Cloud Architect Certification Exam. They will rehearse useful skills including exam question reasoning and case comprehension, tips and review of topics from the Infrastructure curriculum. Understanding the Professional Cloud Architect Certification Position the Professional Cloud Architect certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Cloud Architect and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies MountKirk Games Dress4Win TerramEarth Designing and Implementing Review the layered model from Design and Process Provide exam tips focused on business and technical design Designing a solution infrastructure that meets business requirements Designing a solution infrastructure that meets technical requirements Design network, storage, and compute resources Creating a migration plan Envisioning future solution improvements Resources for learning more about designing and planning Configuring network topologies Configuring individual storage systems Configuring compute systems Resources for learning more about managing and provisioning Designing for security Designing for legal compliance Resources for learning more about security and compliance Optimizing and Operating Analyzing and defining technical processes Analyzing and defining business processes Resources for learning more about analyzing and optimizing processes Designing for security Designing for legal compliance Resources for learning more about security and compliance Advising development/operation teams to ensure successful deployment of the solution Resources for learning more about managing implementation Easy buttons Playbooks Developing a resilient culture Resources for learning more about ensuring reliability Next Steps Present Qwiklabs Challenge Quest for the Professional CA Identify Instructor Led Training courses and what they cover that will be helpful based on skills that might be on the exam Connect candidates to individual Qwiklabs, and to Coursera individual courses and specializations. Review/feedback of course Additional course details: Nexus Humans Preparing for the Professional Cloud Architect Examination 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 Preparing for the Professional Cloud Architect Examination 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 Professionals who need to maintain or set up a Kubernetes cluster Container Orchestration Engineers DevOps Professionals Overview Cluster architecture, installation, and configuration Rolling out and rolling back applications in production Scaling clusters and applications to best use How to create robust, self-healing deployments Networking configuration on cluster nodes, services, and CoreDNS Persistent and intelligent storage for applications Troubleshooting cluster, application, and user errors Vendor-agnostic cloud provider-based Kubernetes Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on, vendor agnostic training you will go back to work with the knowledge, skills, and abilities to design, implement, and maintain a production-grade Kubernetes cluster. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Administrator (CKA) exam. You will be provided the components necessary to assemble your own high availability Kubernetes environment and configure, expand, and control it to meet the demands made of cluster administrators. Your week of intensive, hands-on training will conclude with a mock CKA exam that simulates the real exam. Cluster Architecture, Installation & Configuration Each student will be given an environment that allows them to build a Kubernetes cluster from scratch. After a detailed discussion on key architectural components and primitives, students will install and compare two production grade Kubernetes clusters. Review: Kubernetes Fundamentals After successfully instantiating their own Kubernetes Cluster, students will be guided through foundational concepts of deploying and managing applications in a production environment. Workloads & Scheduling After establishing a solid Kubernetes command line foundation, students will be led through discussion and hands-on labs which focus on effectively creating applications that are easy to configure, simple to manage, quick to scale, and able to heal themselves. Services & Networking Thoroughly understanding the underlying physical and network infrastructure of a Kubernetes cluster is an essential skill for a Certified Kubernetes Administrator. After an in-depth discussion of the Kubernetes Networking Model, students explore the networking of their cluster?s Control Plane, Workers, Pods, and Services. Storage Certified Kubernetes Administrators are often in charge of designing and implementing the storage architecture for their clusters. After discussing many common cluster storage solutions and how to best use each, students practice incorporating stateful storage into their applications. Troubleshooting A Certified Kubernetes Administrator is expected to be an effective troubleshooter for their cluster. The lecture covers a variety of ways to evaluate and optimize available log information for efficient troubleshooting, and the labs have students practice diagnosing and resolving several typical issues within their Kubernetes Cluster. Certified Kubernetes Administrator Practice Exam Just like the Cloud Native Computing Foundation CKA Exam, the students will be given two hours to complete hands-on tasks in their own Kubernetes environment. Unlike the certification exam, students taking the Alta3 CKA Practice Exam will have scoring and documented answers available immediately after the exam is complete, and will have built-in class time to re-examine topics that they wish to discuss in greater depth.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for IoT practitioners who are looking to improve their skills and knowledge of IoT security and privacy. This course is also designed for students who are seeking the CertNexus Certified Internet of Things Security Practitioner (CIoTSP) certification and who want to prepare for Exam ITS-110. Overview This program will validate that the candidate has the knowledge, skills, and abilities to secure network environments for IoT devices, analyze vulnerabilities and determine reasonable controls against threats, and effectively monitor IoT devices and respond to incidents. This course is designed for practitioners who are seeking to demonstrate a vendor-neutral, cross-industry skill set that will enable them to design, implement, operate, and/or manage a secure IoT ecosystem. Managing IoT Risks Map the IoT Attack Surface Build in Security by Design Securing Web and Cloud Interfaces Identify Threats to IoT Web and Cloud Interfaces Prevent Injection Flaws Prevent Session Management Flaws Prevent Cross-Site Scripting Flaws Prevent Cross-Site Request Forgery Flaws Prevent Unvalidated Redirects and Forwards Securing Data Use Cryptography Appropriately Protect Data in Motion Protect Data at Rest Protect Data in Use Controlling Access to IoT Resources Identify the Need to Protect IoT Implement Secure Authentication Implement Secure Authorization Implement Security Monitoring on IoT Systems Securing IoT Networks Ensure the Security of IP Networks Ensure the Security of Wireless Networks Ensure the Security of Mobile Networks Ensure the Security of IoT Edge Networks Ensuring Privacy Improve Data Collection to Reduce Privacy Concerns Protect Sensitive Data Dispose of Sensitive Data Managing Software and Firmware Risks Manage General Software Risks Manage Risks Related to Software Installation and Configuration Manage Risks Related to Software Patches and Updates Manage Risks Related to IoT Device Operating Systems and Firmware Promoting Physical Security Protect Local Memory and Storage Prevent Physical Port Access

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and system integrators Consultants responsible for designing, implementing, and customizing vRealize Operations Overview By the end of the course, you should be able to meet the following objectives: List the vRealize Operations use cases Identify features and benefits of vRealize Operations Determine the vRealize Operations cluster that meets your monitoring requirements Deploy and configure a vRealize Operations cluster Use interface features to assess and troubleshoot operational problems Describe vRealize Operations certificates Create policies to meet the operational needs of your environment Recognize effective ways to optimize performance, capacity, and cost in data centers Troubleshoot and manage problems using workbench, alerts, and predefined dashboards Manage configurations Configure application monitoring using VMware vRealize Operations Cloud Appliance™ Create custom symptoms and alert definitions, reports, and views Create various custom dashboards using the dashboard creation canvas Configure widgets and widget interactions for dashboards Create super metrics Set up users and user groups for controlled access to your environment Extend the capabilities of vRealize Operations by adding management packs and configuring solutions Monitor the health of the vRealize Operations cluster by using self-monitoring dashboards This course provides you with the knowledge and skills to deploy a VMware vRealize Operations cluster that meets the monitoring requirements of your environment.This course includes advanced capabilities such as customizing alerts, views, reports, and dashboards and explains the deployment and architecture in vRealize Operations. This course explains application monitoring, certificates, policies, capacity and cost concepts, and workload optimization with real-world use cases. This course covers troubleshooting using the workbench, alerts, and predefined dashboards, and how to manage compliance and configurations. This course also covers several management packs. Course Introduction Introduction and course logistics Course objectives Introduction to vRealize Operations List the vRealize Operations use cases Access the vRealize Operations User Interface (UI) vRealize Operations Architecture Identify the functions of components in a vRealize Operations node Identify the types of nodes and their role in a vRealize Operations cluster Outline how high availability is achieved in vRealize Operations List the components required to enable Continuous Availability (CA) Deploying vRealize Operations Design and size a vRealize Operations cluster Deploy a vRealize Operations node Install a vRealize Operations instance Describe different vRealize Operations deployment scenarios vRealize Operations Concepts Identify product UI components Create and use tags to group objects Use a custom group to group objects vRealize Operations Policies and Certificate Management Describe vRealize Operations certificates Create policies for various types of workloads Explain how policy inheritance works Capacity Optimization Define capacity planning terms Explain capacity planning models Assess the overall capacity of a data center and identify optimization recommendations What-If Scenarios and Costing in vRealize Operations Run what-if scenarios for adding workloads to a data center Discuss the types of cost drivers in vRealize Operations Assess the cost of your data center inventory Performance Optimization Introduction to performance optimization Define the business and operational intentions for a data center Automate the process of optimizing and balancing workloads in data centers Report the results of optimization potential Troubleshooting and Managing Configurations Describe the troubleshooting workbench Recognize how to troubleshoot problems by monitoring alerts Use step-by-step workflows to troubleshoot different vSphere objects Assess your environment?s compliance to standards View the configurations of vSphere objects in your environment Operating System and Application Monitoring Describe native service discovery and application monitoring features Configure application monitoring Monitor operating systems and applications by using VMware vRealize© Operations Cloud Appliance? Custom Alerts Create symptom definitions Create recommendations, actions, and notifications Create alert definitions that monitor resource demand in hosts and VMs Build and use custom views in your environment Custom Views and Reports Build and use custom views in your environment Create custom reports for presenting data about your environment Custom Dashboards Create dashboards that use predefined and custom widgets Configure widgets to interact with other widgets and other dashboards Configure the Scoreboard widget to use a metric configuration file Manage dashboards by grouping dashboards and sharing dashboards with users Super Metrics Recognize different types of super metrics Create super metrics and associate them with objects Enable super metrics in policies User Access Control Recognize how users are authorized to access objects Determine privilege priorities when a user has multiple privileges Import users and user groups from an LDAP source Extending and managing a vRealize Operations Deployment Identify available management packs in the VMware Marketplace? Monitor the health of a vRealize Operations cluster Generate a support bundle View vRealize Operations logs and audit reports Perform vRealize Operations cluster management tasks Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Operations: Install, Configure, Manage [V8.6] 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 Operations: Install, Configure, Manage [V8.6] 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.

A psychoeducational workshop over four sessions designed to empower greater personal understanding for people affected by hoarding behaviours.

Duration 4 Days 24 CPD hours This course is intended for Application developers who want to increase their understanding of Spring and Spring Boot with hands-on experience and a focus on fundamentals Overview By the end of the course, you should be able to meet the following objectives: Spring configuration using Java Configuration and Annotations Aspect oriented programming with Spring Testing Spring applications using JUnit 5 Spring Data Access - JDBC, JPA and Spring Data Spring Transaction Management Simplifying application development with Spring Boot Spring Boot auto-configuration, starters and properties Build a simple REST application using Spring Boot, embedded Web Server and fat JARs or classic WARs Implementing REST client applications using RestTemplate and WebClient Spring Security Enable and extend metrics and monitoring capabilities using Spring Boot actuator Utilize Spring Boot enhancements to testing This course offers hands-on experience with the major features of Spring and Spring Boot, which includes configuration, data access, REST, AOP, auto-configuration, actuator, security, and Spring testing framework to build enterprise and microservices applications. On completion, participants will have a foundation for creating enterprise and cloud-ready applications. Introduction to Spring Java configuration and the Spring application context @Configuration and @Bean annotations @Import: working with multiple configuration files Defining bean scopes Launching a Spring Application and obtaining Beans Spring JAVA Configuration: A Deeper Look External properties & Property sources Environment abstraction Using bean profiles Spring Expression Language (SpEL) Annotation-based Dependency Injection Component scanning Autowiring using @Autowired Java configuration versus annotations, mixing. Lifecycle annotations: @PostConstruct and @PreDestroy Stereotypes and meta-annotations Factory Pattern in Spring Using Spring FactoryBeans Advanced Spring: How Does Spring Work Internally? The Spring Bean Lifecycle The BeanFactoryPostProcessor interception point The BeanPostProcessor interception point Spring Bean Proxies @Bean method return types Aspect-oriented programming What problems does AOP solve? Defining pointcut expressions Implementing various types of advice Testing a Spring-based Application Spring and Test-Driven Development Spring 5 integration testing with JUnit 5 Application context caching and the @Dirties Context annotation Profile selection with @Active Profiles Easy test data setup with @Sql Data Accss and JDBC with Spring How Spring integrates with existing data access technologies Data Access Exception hierarchy Spring?s Jdbc Template Database Transactions with Spring Transactions overview Transaction management with Spring Transaction propagation and rollback rules Transactions and integration testing Spring Boot Introduction Introduction to Spring Boot Features Value Proposition of Spring Boot Creating a simple Boot application using Spring Initializer website Spring Boot Dependencies, Auto-configuration, and Runtime Dependency management using Spring Boot starters How auto-configuration works Configuration properties Overriding auto-configuration Using Command Line Runner JPA with Spring and Spring Data Quick introduction to ORM with JPA Benefits of using Spring with JPA JPA configuration in Spring Configuring Spring JPA using Spring Boot Spring Data JPA dynamic repositories Spring MVC Architecture and Overview Introduction to Spring MVC and request processing Controller method signatures Using @Controller, @RestController and @GetMapping annotations Configuring Spring MVC with Spring Boot Spring Boot packaging options, JAR or WAR Rest with Spring MVC An introduction to the REST architectural style Controlling HTTP response codes with @ResponseStatus Implementing REST with Spring MVC, @RequestMapping, @RequestBody and @ResponseBody Spring MVC?s HttpMessageConverters and automatic content negotiation Spring Security What problems does Spring Security solve? Configuring authentication Implementing authorization by intercepting URLs Authorization at the Java method level Understanding the Spring Security filter chain Spring security testing Actuators, Metrics and Health Indicators Exposing Spring Boot Actuator endpoints Custom Metrics Health Indicators Creating custom Health Indicators External monitoring systems Spring Boot Testing Enhancements Spring Boot testing overview Integration testing using @SpringBootTest Web slice testing with MockMvc framework Slices to test different layers of the application Spring Security Oauth (Optional Topic) OAuth 2 Overview Implementing OAuth 2 using Spring Security OAuth Reactive Applications with Spring (Optional Topic) Overview of Reactive Programming concepts Reactive Programming support in Spring Using Spring?s reactive WebClient Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Spring: Core Training 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 Spring: Core Training 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.