Duration 4.875 Days 29.25 CPD hours This course is intended for VMware vSphere: Install, Configure, Manage features intensive hands-on training that focuses on installing, configuring, and managing VMware vSphere. This course prepares you to administer a vSphere infrastructure for an organization of any size and forms the foundation for most otherVMware technologies in the software-defined data center. Overview Describe the software-defined data center (SDDC) Explain the vSphere components and their function in the infrastructure Describe the benefits and capabilities of VMware Skyline Install and configure ESXi hosts Deploy and configure VMware vCenter Server Appliance⢠Use VMware vSphere Client⢠to manage the vCenter Server inventory and the vCenter Server configuration Manage, monitor, back up, and protect vCenter Server Appliance Create virtual networks with vSphere standard switches Describe the storage technologies supported by vSphere Configure virtual storage using iSCSI and NFS storage Create and manage VMware vSphere VMFS datastores Use the vSphere Client to create virtual machines, templates, clones, and snapshots Create a content library and deploy virtual machines from templates in the library Manage virtual machine resource use Migrate virtual machines with VMware vSphere vMotion and VMware vSphere Storage vMotion Create and manage a vSphere cluster that is enabled with VMware vSphere High Availability and VMware vSphere Distributed Resource Scheduler ⢠Discuss solutions for managing the vSphere life cycle Use VMware vSphere Lifecycle Manager⢠to perform upgrades to ESXi hosts and virtual machines This is an official VMware IT Academy course with official courseware and labs. Course introduction Introductions and course logistics Course objectives Introduction to vSphere and the Software-Defined Data Center Explain basic virtualization concepts Describe how vSphere fits into the software-defined data center and the cloud infrastructure Explain how vSphere interacts with CPUs, memory, networks, and storage Recognize the user interfaces for accessing the vCenter Server system and ESXi hosts Describe the ESXi host architecture Navigate the Direct Console User Interface (DCUI) to configure an ESXi host Recognize ESXi host user account best practices Install an ESXi host Use VMware Host Client? to configure ESXi host settings Describe how to proactively manage your vSphere environment using VMware Skyline Virtual Machines Create and provision a virtual machine Explain the importance of VMware Tools? Install VMware Tools Identify the files that make up a VM Recognize the components of a VM Recognize virtual devices supported by a VM Describe the benefits and use cases for containers Identify the parts of a container system vCenter Server Describe the vCenter Server architecture Discuss how ESXi hosts communicate with vCenter Server Deploy and configure vCenter Server Appliance Use vSphere Client to manage the vCenter Server inventory Add data center, organizational objects, and hosts to vCenter Server Use roles and permissions to enable users to access objects in the vCenter Server inventory Back up vCenter Server Appliance Monitor vCenter Server tasks, events, and appliance health Use VMware vCenter Server© High Availability to protect a vCenter Server Appliance Configuring and Managing Virtual Networks Create and manage standard switches Describe the virtual switch connection types Configure virtual switch security, traffic-shaping, and load-balancing policies Compare vSphere distributed switches and standard switches Configuring and Managing Virtual Storage Identify storage protocols and storage device types Discuss ESXi hosts using iSCSI, NFS, and Fibre Channel storage Create and manage VMFS and NFS datastores Explain how multipathing works with iSCSI, NFS, and Fibre Channel storage Recognize the components of a VMware vSAN? configuration Virtual Machine Management Use templates and cloning to deploy new virtual machines Modify and manage virtual machines Create a content library and deploy virtual machines from templates in the library Use customization specification files to customize a new virtual machine Perform vSphere vMotion and vSphere Storage vMotion migrations Describe the Enhanced vMotion Compatibility feature Create and manage virtual machine snapshots Examine the features and functions of VMware vSphere© Replication? Describe the benefits of VMware vSphere© Storage APIs ? Data Protection Resource Management and Monitoring Discuss CPU and memory concepts in a virtualized environment Describe what overcommitment of a resource means Describe methods for optimizing CPU and memory usage Use various tools to monitor resource use Create and use alarms to report certain conditions or events vSphere Clusters Describe the functions of a vSphere DRS cluster Create a vSphere DRS cluster Monitor a vSphere cluster configuration Describe options for making a vSphere environment highly available Explain the vSphere HA architecture Configure and manage a vSphere HA cluster Examine the features and functions of VMware vSphere© Fault Tolerance Describe the function of the vSphere© Cluster Service vSphere Lifecycle Management Recognize the importance of vCenter Server Update Planner Describe how VMware vSphere© Lifecycle Manager? works Describe how to update ESXi hosts using baselines Validate ESXi host compliance using a cluster image Describe how to upgrade VMware Tools and VM hardware Describe VMware vSphere© Lifecycle Manager? and VMware vSAN? integration
Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants:Cloud professionals interested in taking the Data Engineer certification exam.Data engineering professionals interested in taking the Data Engineer certification exam. Overview This course teaches participants the following skills: Position the Professional Data Engineer Certification Provide information, tips, and advice on taking the exam Review the sample case studies Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate and indicate skill gaps/areas of study if not known by the candidate Connect candidates to appropriate target learning This course will help prospective candidates plan their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions, candidates will familiarize themselves with the domain covered by the examination, to help them devise a preparation strategy. Rehearse useful skills including exam question reasoning and case comprehension. Tips and review of topics from the Data Engineering curriculum. Understanding the Professional Data Engineer Certification Position the Professional Data Engineer certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Data Engineer and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies for the Professional Data Engineer Exam Flowlogistic MJTelco Designing and Building (Review and preparation tips) Designing data processing systems Designing flexible data representations Designing data pipelines Designing data processing infrastructure Build and maintain data structures and databases Building and maintaining flexible data representations Building and maintaining pipelines Building and maintaining processing infrastructure Analyzing and Modeling (Review and preparation tips) Analyze data and enable machine learning Analyzing data Machine learning Machine learning model deployment Model business processes for analysis and optimization Mapping business requirements to data representations Optimizing data representations, data infrastructure performance and cost Reliability, Policy, and Security (Review and preparation tips) Design for reliability Performing quality control Assessing, troubleshooting, and improving data representation and data processing infrastructure Recovering data Visualize data and advocate policy Building (or selecting) data visualization and reporting tools Advocating policies and publishing data and reports Design for security and compliance Designing secure data infrastructure and processes Designing for legal compliance Resources and next steps Resources for learning more about designing data processing systems, data structures, and databases Resources for learning more about data analysis, machine learning, business process analysis, and optimization Resources for learning more about data visualization and policy Resources for learning more about reliability design Resources for learning more about business process analysis and optimization Resources for learning more about reliability, policies, security, and compliance Additional course details: Nexus Humans Preparing for the Professional Data Engineer 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 Data Engineer 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 Experienced system administrators, system integrators, and consultants responsible for implementing and managing VMware Cloud Foundation Overview By the end of the course, you should be able to meet the following objectives: Describe design implications of VMware Cloud Foundation standard or consolidated architecture List requirements for VMware Cloud Foundation deployment Describe the VMware Cloud Foundation bring-up process and the VMware Cloud Foundation architecture Perform VMware Cloud Foundation bring-up Describe physical and virtual networking considerations Outline VMware Cloud Foundation storage options Use the VMware Imaging Appliance to image ESXi hosts Describe VMware Cloud Foundation multi-instance federation Use VMware Cloud Foundation⢠SDDC Manager⢠to perform operational tasks Describe user roles in VMware Cloud Foundation and VMware vSphere Manage users and passwords using VMware Cloud Foundation Manage certificate rotation for VMware Cloud Foundation components Use Active Directory integration to automate certificate generation and rotation Describe workload domains Manage workload domains in VMware Cloud Foundation Manage VMware NSX-T⢠for VMware Cloud Foundation Describe use cases for Application Virtual Networks (AVNs) Meet vSphere with VMware Tanzu⢠requirements Deploy a vSphere with Tanzu enabled workload domain Manage VMware vSAN⢠storage in a workload domain Create vSAN storage policies Describe Cloud Native storage Describe the importance of business continuity measures in VMware Cloud Foundation Plan appropriate backup and restore workflows for VMware Cloud Foundation components Implement stretched clusters in VMware Cloud Foundation workload domains This five-day course includes instruction on the capabilities of VMware Cloud Foundation? and how to successfully plan, deploy, manage, and operate hybrid and cloud infrastructures, including customization. The course explains the architecture of VMware Cloud Foundation and explains licensing, certificates, and storage and network management. The course also covers workload domains, availability, life cycle management, and troubleshooting. Course Introduction Introductions and course logistics Course objectives VMware Cloud Foundation Overview Describe the VMware Cloud Foundation solution Describe VMware Cloud Foundation architecture Identify VMware Cloud Foundation components Describe VMware Cloud Foundation topology Define VMware Cloud Foundation terminology Day Zero Tasks Identify the requirements for deploying VMware Cloud Foundation Identify management domain sizing considerations Identify workload domain sizing considerations Detail design considerations for ESXi in management and VI workload domains Detail design considerations for vCenter in management and VI workload domains Detail the VMware Cloud Foundation bring-up process Identify information required for the Planning and Preparation Workbook Identify information required for the Deployment Parameter Workbook Describe how VMware Cloud Builder automates the deployment process Explain how the Deployment Parameter Workbook is imported into VMware Cloud Builder Recognize the configuration validation process performed by VMware Cloud Builder Detail the deployment of the management domain Recognize the options to image a host Identify the key capabilities of VIA Recognize how to use VIA for imaging the ESXi Nodes Post Deployment Operations Understand VMware Cloud Foundation integration with VMware Single Sign-On Configure user access to VMware Cloud Foundation Describe the importance of user roles in vSphere Configure identity sources in vSphere to use with VMware Cloud Foundation Manage passwords in VMware Cloud Foundation Explain the importance of using VMware Cloud Foundation to manage passwords for vSphere components Detail the best practices for password management for VMware Cloud Foundation Retrieve and secure the password list Describe the process for rotating passwords not managed by VMware Cloud Foundation VMware Cloud Foundation License Management Describe how to add license keys to the VMware Cloud Foundation inventory Describe how to view license keys in SDDC Manager Describe how to assign license keys Describe how to remove license keys Describe how to replace expiring licenses VMware Cloud Foundation Networking with NSX-T Describe NSX Management plane and Control planes Detail design considerations for workload domains with shared NSX Manager instances Detail design considerations for workload domains with dedicated NSX Manager instances Describe the spine-and-leaf design Describe the addressing scheme for the underlay Recognize possible variations of the spine-and-leaf design Describe the multi-NIC design Describe NSX Edge node design and BGP peering with the physical network Describe cluster design and rack design Explain dynamic routing with BGP Explain virtual IP addressing Describe logical switching Detail NSX Edge functions Define application virtual networks Describe management domain rack options List NSX Edge cluster requirements for vSphere with Tanzu Discuss NSX Edge cluster placement considerations Describe NSX-T Data Center deployment in VMware Cloud Foundation Explain how logical routing works in NSX-T Data Center Identify NSX Edge functions Describe data plane preparation for NSX-T Data Center Edge nodes in a workload domain Recognize Tier-0 and Tier-1 gateway topologies Recognize features of NSX distributed firewalls Describe the benefits of NSX Federation in VMware Cloud Foundation Identify NSX Federation Use Cases Explain NSX Federation Components and Architecture Discuss NSX Federation configuration basics Managing Workload Domains Define workload domains Detail design considerations for vSphere networking in management and VI workload domains Detail design considerations for storage in management and VI workload domains Recognize design choices for a consolidated design or standard design List the types of workload domains State scale limits for workload domains Identify use cases for multiple clusters in a workload domain List workload domain prerequisites Explain how to create a workload domain Describe how to scale a workload domain Explain how to delete a workload domain Describe host decommissioning vSphere with Tanzu in VMware Could Foundation Discuss the vSphere with Tanzu solution Define the role of Spherelet Describe the supervisor cluster control plane Define vSphere with Tanzu namespaces Describe the role of NSX-T networking components Discuss vSphere with Tanzu networking topology Describe VMware Container Networking with Antrea Describe control plane VM management networking requirements Plan appropriate IP address CIDR ranges for pod, ingress, and egress networking Describe prerequisites for vSphere with Tanzu cluster compatibility Deploy vSphere with Kubernetes Create a vSphere namespace Configure limits and permissions for a vSphere namespace Enabling Harbor Image Registry VMware Cloud Foundation Storage Management Identify vSAN architecture and components Recognize storage options for VMware Cloud Foundation Recognize the connectivity options for supplemental storage Explain why vSAN is the best option for VMware Cloud Foundation storage Recognize vSAN design considerations Identify sizing and performance considerations that impact the storage design Describe vSAN requirements for the management and workload domains Define deduplication and compression Discuss how to scale vSAN clusters in VMware Cloud Foundation Explain how storage policies work with VMware Cloud Foundation vSAN clusters Explain storage policy failure tolerance rules Identify a VM storage policy compliance status Relate storage policies to Kubernetes storage classes Describe persistent volumes Monitor Cloud Native Storage in the vSphere Client Availability and Business Continuity Identify steps in the SDDC Manager backup and restore process Recognize the importance of external service availability Describe native vSphere availability options Identify steps in the NSX backup and restore process Identify stretched cluster use cases Identify stretched cluster components Recognize stretched cluster requirements in VMware Cloud Foundation Prepare and deploy a vSAN stretched cluster using APIs VMware Cloud Foundation Certificate Management Describe public key infrastructure (PKI) Explain the purpose of certificate signing requests (CSRs) List the available CA options in SDDC Manager Describe how to view certificates Explain how to generate a CSR Describe how to replace and install certificates for VMware Cloud Foundation components List the available CA options in SDDC Manager Explain how to configure the Microsoft CA server Describe how to install certificates issued by the Microsoft CA server Explain how to add OpenSSL CA in SDDC Manager Describe how to install certificates issued by OpenSSL CA Explain how to install certificates issued by third-party CAs
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 geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies
Duration 5 Days 30 CPD hours This course is intended for Cloud Solutions Architects DevOps Engineers Individuals using Google Cloud Platform who deploy applications, monitor operations, and manage enterprise solutions Overview At course completion, you will have attained knowledge of: Fundamentals of Google Cloud Platform (GCP) Google Cloud Storage Google Compute Engine Google Cloud SQL Load Balancing (LB) Google Cloud Monitoring Auto-Scaling Virtual Private Cloud (VPC) Network Cloud Identity and Access Management (IAM) Cloud CDN and DNS Cloud VPN Google Cloud Deployment Manager Google Container Engine Cloud Run Cloud Bigtable Cloud Datastore Cloud BigQuery Cloud DataFlow Cloud DataProc Cloud Pub/Sub In this course you will attain a deep knowledge of Google Cloud Platform infrastructure and design patterns on developing applications on GCP. This course will prepare you for the Google Cloud Architect Associate Certification Exam. Fundamentals of Google Cloud Platform (GCP) Overview Regions and Zones Review of major GCP services Google Cloud Storage Fundamental APIs Consistency Cloud Storage Namespace Buckets and Objects Bucket and Object Naming Guidelines Encryption Object Versioning Object Lifecycle Management Access Control Access Control Lists Signed URL Multipart upload Resumable upload Understanding Pricing for Cloud Storage Offline Media Import/Export Architecture case study of common Use Cases of Google Cloud Storage Hands-on: Cloud Storage Lab; Creating Buckets, objects, and managing access control Google Compute Engine Compute Engine Architecture VM Instances types Persistence Disks Images Generating Custom Images IP Addresses Static IPs Ephemeral Access Control Options IAM Service Account Monitoring Instances with Google Cloud Monitoring Compute Engine Networks and Firewalls Hands-on: Hosting an Application on Compute Engine Google Cloud SQL Core advantages of Cloud SQL Cloud SQL database instance types Access Control High availability options Failover Read replica Backup options On Demand Automated Understanding Pricing of Cloud SQL Load Balancing (LB) Fundamentals of a Load Balancer Network Load balancing HTTPS Load balancing Cross region Load balancing Content Load balancing Target proxies SSL Load Balancing Internal Load Balancing Network Load Balancing Understanding Pricing for Load Balancer Google Cloud Monitoring Architecture of Cloud Monitoring Supported metrics Stackdriver Monitoring APIs Auto-Scaling Overview of Autoscaling Auto-scaling Fundamentals Instance groups Templates Policies Decisions Hands-on: Deploying a scale application on GCP using Autoscaling, Compute Engine, Cloud SQL, Load Balancers. Virtual Private Cloud (VPC) Network Salient features of Virtual Private Cloud (VPC) Network Infrastructure Virtual Private Cloud (VPC) Networking Fundamentals Subnetworks Firewall Internal DNS Network Routes Hands-on: Hosting Secure Applications in Google Cloud VPC Networks Cloud Identity and Access Management (IAM) Introduction User and Service Accounts IAM Roles Policy Hands-on: Managing Users, Policies and Granting Roles using Service Accounts Cloud CDN and DNS What is CDN Google Cloud CDN Cloud CDN Concepts Some of the Cloud CDN Edge locations Cloud DNS Cloud DNS Terminologies Supported Record Types Hands-on: Moving an Existing Domain Name to Cloud DNS Cloud VPN Cloud VPN overview Types of Cloud VPN Specifications Maintenance and Availability Google Cloud Deployment Manager Deployment Manager Deployment Manager Fundamentals Runtime Configurator Quotas Hands-on: Generating and Creating Cloud Deployment Manager Template Google Container Engine Google Container Engine Overview Docker Overview Kubernetes Terminologies Replication Controller Deployment Price and Quotas Hands-on: Deploying WordPress Cluster using Container Engine Cloud Run Overview of Cloud Run Deploy a Prebuilt Sample container Cloud Bigtable Overview of Cloud Bigtable Access Control Performance Locations Cloud Datastore Overview of Cloud Datastore Limits Storage Size Multitenancy Benefits of Multitenancy Encryption Locations Cloud BigQuery BigQuery Overview Interacting with BigQuery Datasets, Tables, and Views Partitioned Tables Query Plan Explanation Hands-on: Getting Started with BigQuery Cloud DataFlow Overview Programming Model DataFlow SDK 1.x for java Cloud Dataflow SDK 2.x Security and Permissions Advanced Access Control Cloud DataProc Overview Clusters Versioning Cloud Pub/Sub Overview of Cloud Pub/Sub Pub/Sub Concepts and Message Flow Data Model Cleanup of All Services Hands-on: Cloud Pub/Sub Lab with Background Cloud Function Additional course details: Nexus Humans Google Cloud Engineer Associate Certification Bootcamp 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 Google Cloud Engineer Associate Certification Bootcamp 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 Anyone who plans to work with Kubernetes at any level or tier of involvement Any company or individual who wants to advance their knowledge of the cloud environment Application Developers Operations Developers IT Directors/Managers Overview All topics required by the CKAD exam, including: Deploy applications to a Kubernetes cluster Pods, ReplicaSets, Deployments, DaemonSets Self-healing and observable applications Multi-container Pod Design Application configuration via Configmaps, Secrets Administrate cluster use for your team A systematic understanding of Kubernetes architecture Troubleshooting and debugging tools Kubernetes networking and services 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 training, you will go back to work with all necessary commands and practical skills to empower your team to succeed, as well as gain knowledge of important concepts like Kubernetes architecture and container orchestration. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Application Developer (CKAD) exam. You will command and configure a high availability Kubernetes environment (and later, build your own!) capable of demonstrating all ?K8s'' features discussed and demonstrated in this course. Your week of intensive, hands-on training will conclude with a mock CKAD exam that matches the real thing. Kubernetes Architecture Components Understand API deprecations Containers Define, build and modify container images Pods Master Services Node Services K8s Services YAML Essentials Creating a K8s Cluster kubectl Commands Kubernetes Resources Kubernetes Namespace Kubernetes Contexts Pods What is a Pod? Create, List, Delete Pods How to Access Running Pods Kubernetes Resources Managing Cloud Resource Consumption Multi-Container Pod Design Security Contexts Init Containers Understand multi-container Pod design patterns (e.g. sidecar, init and others) Pod Wellness Tracking Networking Packet Forwarding ClusterIP and NodePort Services Provide and troubleshoot access to applications via services Ingress Controllers Use Ingress rules to expose applications NetworkPolicy resource Demonstrate basic understanding of NetworkPolicies Network Plugins Defining the Service Mesh Service mesh configuration examples ReplicaSets Services ReplicaSet Function Deploying ReplicaSets Deployments Deployment Object Updating/Rolling Back Deployments Understand Deployments and how to perform rolling updates Deployment Strategies Use Kubernetes primitives to implement common deployment strategies (e.g. blue/green or canary) Scaling ReplicaSets Autoscaling Labels and Annotations Labels Annotations Node Taints and Tolerations Jobs The K8s Job and CronJob Understand Jobs and CronJobs Immediate vs. scheduled internal use Application Configuration Understanding and defining resource requirements, limits and quotas Config Maps Create & consume Secrets Patching Custom Resource Definition Discover and use resources that extend Kubernetes (CRD) Managing ConfigMaps and Secrets as Volumes Storage Static and dynamic persistent volumes via StorageClass K8s volume configuration Utilize persistent and ephemeral volumes Adding persistent storage to containers via persistent volume claims Introduction to Helm Helm Introduction Charts Use the Helm package manager to deploy existing packages Application Security Understand authentication, authorization and admission control Understand ServiceAccounts Understand SecurityContexts Application Observability and Maintenance Use provided tools to monitor Kubernetes applications How to Troubleshoot Kubernetes Basic and Advanced Logging Techniques Utilize container logs Accessing containers with Port-Forward Debugging in Kubernetes Hands on Labs: Define, build and modify container images Deploy Kubernetes using Ansible Isolating Resources with Kubernetes Namespaces Cluster Access with Kubernetes Context Listing Resources with kubectl get Examining Resources with kubectl describe Create and Configure Basic Pods Debugging via kubectl port-forward Imperative vs. Declarative Resource Creation Performing Commands inside a Pod Understanding Labels and Selectors Insert an Annotation Create and Configure a ReplicaSet Writing a Deployment Manifest Perform rolling updates and rollbacks with Deployments Horizontal Scaling with kubectl scale Implement probes and health checks Understanding and defining resource requirements, limits and quotas Understand Jobs and CronJobs Best Practices for Container Customization Persistent Configuration with ConfigMaps Create and Consume Secrets Understand the Init container multi-container Pod design pattern Using PersistentVolumeClaims for Storage Dynamically Provision PersistentVolumes with NFS Deploy a NetworkPolicy Provide and troubleshoot access to applications via services Use Ingress rules to expose applications Understand the Sidecar multi-container Pod design pattern Setting up a single tier service mesh Tainted Nodes and Tolerations Use the Helm package manager to deploy existing packages A Completed Project Install Jenkins Using Helm and Run a Demo Job Custom Resource Definitions (CRDs) Patching Understanding Security Contexts for Cluster Access Control Utilize container logs Advanced Logging Techniques Troubleshooting Calicoctl Deploy a Kubernetes Cluster using Kubeadm Monitoring Applications in Kubernetes Resource-Based Autoscaling Create ServiceAccounts for use with the Kubernetes Dashboard Saving Your Progress With GitHub CKAD Practice Drill Alta Kubernetes Course Specific Updates Sourcing Secrets from HashiCorp Vault Example CKAD Test Questions
Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Solutions architects, cloud engineers, including security engineers, delivery and implementation engineers, professional services, and Cloud Center of Excellence (CCOE) Overview In this course, you will learn to: Design and implement a secure network infrastructure Design and implement compute security Design and implement a logging solution Currently, the average cost of a security breach can be upwards of $4 million. AWS Security Best Practices provides an overview of some of the industry best practices for using AWS security and control types. This course helps you understand your responsibilities while providing valuable guidelines for how to keep your workload safe and secure. You will learn how to secure your network infrastructure using sound design options. You will also learn how you can harden your compute resources and manage them securely. Finally, by understanding AWS monitoring and alerting, you can detect and alert on suspicious events to help you quickly begin the response process in the event of a potential compromise. Module 1: AWS Security Overview Shared responsibility model Customer challenges Frameworks and standards Establishing best practices Compliance in AWS Module 2: Securing the Network Flexible and secure Security inside the Amazon Virtual Private Cloud (Amazon VPC) Security services Third-party security solutions Module 3: Amazon EC2 Security Compute hardening Amazon Elastic Block Store (EBS) encryption Secure management and maintenance Detecting vulnerabilities Using AWS Marketplace Module 4: Monitoring and Alerting Logging network traffic Logging user and Application Programming Interface (API) traffic Visibility with Amazon CloudWatch Enhancing monitoring and alerting Verifying your AWS environment Additional course details: Nexus Humans AWS Security Best Practices 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 AWS Security Best Practices 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 Administrator Architect Database Administrator Overview To provide an acceptable response time to users and manage resources effectively, you learn how to monitor performance and manage resources within the multitenant container database and its pluggable databases, and within each pluggable database. Another important aspect is the data movement between non-CDBs and pluggable databases, and between pluggable databases. It is also important to understand the procedures of upgrading an Oracle Database multitenant container database or an Oracle Database pluggable database. Finally, students discover the way multitenant container database and pluggable databases are created and monitored in the Cloud. This course covers all aspects of the multitenant architecture, providing detailed information on the components of an Oracle multitenant container database and its regular and application pluggable databases. You learn why and how to create and manage a multitenant container database and its regular and application pluggable databases, with storage structures appropriate for the business applications. You practice cold and hot cloning, plugging unplugged pluggable databases in multitenant container databases using various methods. CDB BasicsCDB and Regular PDBsApplication PDBs and Application InstallationPDB CreationCDB and PDB ManagementStorageSecurityBackup and DuplicateRecovery and FlashbackPerformance MonitoringResources AllocationData MovementUpgrade methods
Duration 5 Days 30 CPD hours This course is intended for This course is intended for an IT person wanting to learn about administrating SharePoint 2016. Overview After completing this course, you will be able to: The Installation and configure a SharePoint 2016 Farm How to manage a SharePoint 2016 Farm through the GUI and PowerShell How to create site collections via GUI and PowerShell How to create and configure the all the required service applications for SharePoint 2016 How to backup and restore in SharePoint 2016 This SharePoint 2016 Administrator course is design for Administrators who are new to SharePoint Server Administration or who are upgrading from previous versions of SharePoint.This course covers content that was in retired Microsoft Course 20339-1. Module 1: Hardware, Installation and Patching How to build a Min Role Farm How to View ULS Logs How to document and check IIS Settings for SharePoint 2016 Module 2: Farm Management How to manage the SharePoint Farm Administors group How to configure Outgoing Email How to configure Incoming Email How to Configure Diagnostic and Usage Log Options Module 3: Web Applications How to define a new Managed Account How to add new IP Addresses to a SharePoint Server How to create a claims based web application in SharePoint Central Administration How to create a claims based web application in PowerShell How to create a hosting web application in PowerShell Module 4: Site Collections How to create a managed path How to create a site collection using SharePoint Central Administration How to create a site collection using PowerShell How to create a site collection in its own database using SharePoint Central Administration How to create a site collection in its own database using PowerShell How to create a host named site collection using PowerShell Module 5: Service Applications How to create a State Service Application How to create a Search Service Application How to create the Managed Metadate Service Module 6: Application Management How to add a new IP and Certificate to a SharePoint Web Application How to configure DNS for SharePoint Web Application How to Create a Subscription Settings Service Application How to create the Application Management Application Service How to configure the application URLs How to create the App Catalog Site Colleciton How to Add Apps to the catalog Module 7: Managing the User Profile Service How to create the My Site Web Application How to create the User Profile Service Application How to Configure the User Profile Synchronization Permissions How to create the Active Directory Import Connection How to assign permissions for the AD Group to create a My Site How to create a My Site Module 8: Search How to view the currenty Search Topology How to create an Enterprise Search Centre How to configure a new search schema property How to create a site collection-level result source How to create a new content source Module 9: Office Online Server How to install the pre-requisites for Office Online Server How to install the Office Online Server Binaries How to create the Office Online Server SSL Certifcate How to create the Office Online Server Farm How to connect to the farm from SharePoint How to test the connectivity Module 10: Enterprise Content Management How to create and Apply a site policy How to create discovery sets How to configure In Place records management How to configure the records centre How to configure DLP Module 11: Web Content Management How to configure cross-site publication How to configure content deployment Module 12: Workflow Server How to install Workflow Manger server and Client Binaires How to configure the workflow farm How to patch the workflow farm manager and clients How to register the workflow service in SharePoint How to test Workflow creation Module 13: Business Connectity Services and Secure Store How to configure the secure store service How to create the BCS service Application How to setup the products database How to import the BCS Definition How to use the BDC file in a list web part Module 14: Hybrid SharePoint Shown and Demonstrated the Hybrid features of SharePoint 2016 Module 15: Backup and Restore How to backup SharePoint 2016 Content How to delete SharePoint 2016 Content How to restore SharePoint 2016 Content via PowerShell How to recover a unattached content database Module 16: Upgrade How to restore and attach a SharePoint 2013 Database How to upgrade a SharePoint 2013 MMS Service Application Additional course details: Nexus Humans 55355 SharePoint 2016 Administration 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 55355 SharePoint 2016 Administration 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.