6145 Computing courses

Duration 5 Days 30 CPD hours This course is intended for Network Engineers, Network Administrators, Network Security Engineers, and NOC Administrators. Overview Successful completion of this five-day, instructor-led course will help enhance your understanding of how to design, implement, and effectively operate a Prisma SDWAN solution. You will get hands-on experience configuring Prisma SD-WAN with a branch and datacenter, configure policies, and use Prisma SD-WAN services. The Prisma SD-WAN Design and Operation (EDU-238) course describes the next generation Prisma SD-WAN solution, the capability and value it provides over legacy WAN and SD-WAN implementations, and how to configure, operate, and troubleshoot the solution. This course is intended for people who must configure, maintain, and use wide area networks, from data centers, to branches, to the cloud. Course Outline 1 - Solution Overview 2 - Branch Design 3 - Routing 4 - Policy Module #1 - Application Path and QoS Policy 5 - Policy Module #2 - NAT, ZBFW and Security 6 - Event Policy Management Services 7 - DNS and DHCP Services 8 - Operations and Troubleshooting 9 - CloudBlades 10 - Integrating Prisma SD-WAN and Prisma Access for SASE Implementation 11 - DevOps 12 - Next Steps Additional course details: Nexus Humans Palo Alto Networks :Prisma SD-WAN : Design and Operation EDU-238 (6.0) 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 Palo Alto Networks :Prisma SD-WAN : Design and Operation EDU-238 (6.0) 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 Customers, cloud architects, systems engineers, data center administrators, and cloud administrators with experience in managed services or managing a service provider environment Overview By the end of the course, you should be able to meet the following objectives: Describe the advanced architecture of a VMware Cloud Director environment Design Cloud Director Federation Explain use cases for CPOM Explain basic concepts of NSX-V and NSX-T design with VMware Cloud Director Discuss the integration of AVI Load Balancer Services Explain use of migration tools from NSX-V to NSX-T Data Center Explain the integration of Advanced Load Balancer with NSX Discuss the use cases for NSX Advanced Load Balancer Describe the architecture of VMware vCloud Availability for vCloud Director Discuss the use cases for migration with vCloud Availability Describe the architecture of vRealize Operations in a Service Provider Environment Explain the use cases for vRealize Operations Tenant App Explain VMware Cloud Director orchestration and extensibility Explain use cases for XaaS Integration Discuss UI customization for Service Provider and Tenants This five-day, hands-on training course provides you with the advanced knowledge, skills, and tools to design and utilize a cloud solution based on VMware Cloud Director?. Besides learning about an advanced cloud architecture, you learn about the integration of VMware Cloud Director with the products VMware Cloud Director Availability?, VMware vRealize© Orchestrator?, VMware vRealize© Operations? (including the Tenant App), VMware NSX-T© Data Center and VMware NSX© Advanced Load Balancer? (Avi Networks). This course covers the migration from VMware NSX© for vSphere© (NSX-V) to VMware NSX-T© Data Center in a VMware Cloud Director environment. You learn about how the NSX Advanced Load Balancer can be used and integrated in a service provider environment. Besides the advanced know-how of the vRealize Operations Tenant App and Cloud Availability, the course also discusses the extensibility and orchestration of workflows in Cloud Director. For all the topics covered in the class, intensive hands-on labs will be taken by the students to provide proper insights into all the products. Course Introduction Introductions and course logistics Course objectives Advanced VMware Cloud Director Architecture Explain the basic concepts and terminologies in a VMware Cloud Director environment Describe the basic architecture of a VMware Cloud Director environment Follow a proven process to design and deploy a cloud solution Gather and analyze business and application requirements Document design requirements, constraints, assumptions, and risks Use a systematic method to evaluate and document design decisions Explain the differences between conceptual, logical, and physical designs Describe the concepts of Provider SLAs Discuss the advantages of standardized and flexible cloud platforms Explain how you can use a building-block design approach with VMware products to architect a flexible but standardized cloud environment Impact on Monetization of service definitions Discuss the design and implications of a vSphere Design for the Cloud Platform Explain the use of Single vs. Stretched vs. Multi-Site deployments Design Cloud Director Federation Explain use cases for CPOM NSX for vSphere vs. NSX-T and Migration Describe the NSX Management cluster architecture, components, and communication channels Identify the workflows involved in configuring the NSX Management cluster Validate and troubleshoot the NSX Management cluster formation Explain basic concepts of NSX-V and NSX-T design with VMware Cloud Director Discuss the use cases for Edge Services Discuss the use cases for Distributed Network Services Discuss the features available in NSX-V vs. NSX-T Explain the integration of external networks (such as MPLS, DirectConnect) Explain the integration of 3rd party network services (NON-VMware Edge Services, WAF) Discuss the integration of AVI Load Balancer Services Discuss different migration scenarios Explain pre-requisites for migration from NSX-V to NSX-T Explain use of migration tools from NSX-V to NSX-T NSX Advanced Load Balancer Explain basic concepts of NSX Advanced Load Balancer Explain the integration of NSX Advanced Load Balancer with NSX Discuss the use cases for NSX Advanced Load Balancer VMware vCloud Availability Describe the architecture of VMware vCloud Availability for vCloud Director Explain the prerequisites of vCloud Availability for Cloud Director Discuss the implementation of vCloud Availability for Cloud Director Discuss the use cases for migration with vCloud Availability Explain setup of data seeds for vCloud Availability Discuss the use cases for Disaster Recover as a Service with vCloud Availability Explain connectivity for vCloud Availability to Cloud use cases Understand requirements for vCloud Availability OnPrem to Cloud failover and failback vRealize Operations Tenant App / Chargeback Describe the architecture of vRealize Operations in a Service Provider Describe the architecture of vRealize Operations Tenant App Explain the use cases for vRealize Operations Tenant App Explain use cases for vRealize Operations Manager in Service Provider environments Discuss vRealize Operations Manager Management Packs Explain advanced troubleshooting in service provider environments with vRealize Operations Manager Discuss architecture and integration of vRealize Operations Manager Tenant App Explain connectivity of the vRealize Operations Manager Tenant App Discuss user and role management of the vRealize Operations Manager Tenant App Describe billing policy definition in the vRealize Operations Manager Tenant App VMware Cloud Director Orchestration Explain VMware Cloud Director orchestration Explain vRealize Orchestrator use cases Describe the architecture of vRealize Orchestrator in a Service Provider environment Explain use cases for VMware Cloud Director blocking tasks Explain use cases for XaaS Integration Design workflows, objects Discuss UI customization for Service Provider and Tenants Explain integration of custom elements in VMware Cloud Director Explain use cases for Extensibility SDK Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Cloud Director: Advanced Workshop [v10.2] 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 VMware Cloud Director: Advanced Workshop [v10.2] 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 5 Days 30 CPD hours This course is intended for Telco cloud system administrators and telco network operations engineers Professionals who work with telco or enterprise and data center networks Designers and operations engineers who manage telco workloads Overview By the end of the course, you should be able to meet the following objectives: List VMware Telco Cloud Automation deployment options and procedures Define Infrastructure Automation and describe infrastructure deployment Describe the VMware Telco Cloud Automation infrastructure settings Configure containers as a service functionality Describe partner integration options and procedures Instantiate network services and network functions Describe the authorization model of VMware Telco Cloud Automation Define platform life cycle management (LCM) for VMware Telco Cloud Automation Enumerate troubleshooting concepts and day two operations for VMware Telco Cloud Automation Describe the use of APIs within VMware Telco Cloud Automation List examples of how VMware Telco Cloud Automation can be used in a CICD environment This five-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware Telco Cloud Automation environment. In this course, you are introduced to VMware Telco Cloud Automation infrastructure settings, deployment options and procedures. You will explore containers as a service and understand the workflow details of partner integration processes. You will learn about infrastructure automation and its importance in VMware Telco Cloud Automation. You will onboard and instantiate network functions and network services using hands-on lab exercises.In addition, this course teaches life cycle management workflows as well as several types of technical problems in VMware Telco Cloud Automation, which you will identify, analyze, and solve through a systematic process. Course Introduction Introductions and course logistics Course objectives VMware Telco Cloud Automation Installation Describe day zero operations for VMware Telco Cloud Automation Describe the VMware Telco Cloud Automation architecture List the steps to perform VMware Telco Cloud Automation deployment List the steps to perform VMware Telco Cloud Automation control plane integration Describe VMware Telco Cloud Automation control plane scaling Describe the requirements for other applications such as vRealize Orchestrator and Harbor Describe where, when, and how to use VMware Telco Cloud Automation tagging Day 1 Operations: Infrastructure Automation Describe infrastructure automation List the use cases of infrastructure automation List the benefits of infrastructure automation Describe the infrastructure requirements of infrastructure automation Describe the infrastructure automation domains List the steps to deploy an infrastructure using infrastructure automation Day 1 Operations: Infrastructure Settings Describe the VMware Telco Cloud Automation infrastructure options Describe VMware Telco Cloud Automation infrastructure requirements Outline the role of virtual infrastructure and VMware Telco Cloud Automation Identify the benefits of public and private infrastructures List the steps to integrate a VM-based virtual infrastructure List the steps to integrate a container-based virtual infrastructure Describe private infrastructure requirements Day 1 Operations: Containers as a Service Define containers as a service (CaaS) List the challenges of CNF deployment without automation Describe the Kubernetes and Tanzu Kubernetes Grid architectures List steps to create a Kubernetes cluster template Describe the process for deploying node pools and groups List the steps to support anti-affinity of workload cluster nodes Describe cluster monitoring List CaaS scale options Day 1 Operations: Partner Integration Describe partner integration and the types of partners Describe Harbor and the various Harbor platforms List the steps to interface with a Harbor platform Compare and contrast specialized VNF managers (S-VNFMs) and generic VNF managers (G-VNFMs) Explain how to add an S-VNFM Define S-VNFM use cases List the benefits and challenges of using Airgap Day 1 Operations: Network Functions ad Network Services Describe the roles of network services and network functions List the types of descriptors Describe the role of TOSCA Describe the role of onboarding List the steps to onboard network functions and network services Examine the results of the onboarding process List the steps to instantiate network functions and network services Examine the results of the instantiation process Day 2 Operations: Authorization Model Explain the resources that can be accessed in vSphere Define the role of a vCenter Server system in credential management Define the role of Keycloak in credential management Describe the procedures to create, delete, and modify rules using vCenter Server Explain how to control and verify access to vSphere resources List the roles in VMware Telco Cloud Automation Explain the tasks and list the levels of permissions needed in VMware Telco Cloud Automation List all the permissions and filters that can be implemented in VMware Telco Cloud Automation Day 2 Operations: Life Cycle Management Explain the life cycle stages in VMware Telco Cloud Automation control plane Explain the life cycle stages in VMware Telco Cloud Automation Define an upgrade schedule Apply an upgrade schedule for life cycle management of the VMware Telco Cloud Automation control plane Apply an upgrade schedule for life cycle management in VMware Telco Cloud Automation Describe network function and network service life cycle management events Execute network function and network service healing Perform network function and network service termination Day 2 Operations: Troubleshooting List the components of the VMware Telco Cloud Automation dashboard Explain the features of fault management in VMware Telco Cloud Automation Explain the features of performance management in VMware Telco Cloud Automation Describe the use of fault management of VMware Telco Cloud Automation for VNFs and CNFs Describe the use of performance management of VMware Telco Cloud Automation for VNFs and CNFs Describe the use of CCLI for troubleshooting Define the procedures to integrate vRealize Operations Manager with VMware Telco Cloud Automation Describe how to use vRealize Operations Day Two Operations: API Management Define the VMware Telco Cloud Automation API Explain the API architecture Describe VMware Telco Cloud Automation API use cases Describe how to request security tokens for implementation Explain how to implement commands through external systems using APIs Day Two Operations: Continuous Integration and Continuous Delivery Describe continuous integration and continuous delivery (CICD) List the benefits and challenges of CICD Describe how VMware Telco Cloud Automation can be used in a CICD environment Explore VMware Telco Cloud Automation CICD examples

Duration 5 Days 30 CPD hours This course is intended for System administrators System engineer Overview By the end of the course, you should be able to meet the following objectives: Configure and manage complex storage solutions in a vSphere environment (including NFS, iSCSI, and so on) Configure and manage complex, scalable vSphere networking operations (vSphere Standard Switch and Distributed Switches) Deploy, manage, and optimize virtual machines (advanced configuration, content library, latency-sensitive workloads, and more) Manage business continuity and operations in your vSphere environment (VMware vCenter Server Appliance™ file-based backup, VMware vCenter Server profiles, host profiles, and so on) Plan and implement increased vSphere security (use a Key Provider, VM Encryption, CPU scheduler remediations, and so on) Troubleshoot the vSphere environment Use VMware vSphere Lifecycle Manager™ to upgrade to VMware ESXi™ hosts and virtual machines (VUM, image-based clusters, and so on) Implement vSphere cluster solutions (Cluster QuickStart wizard, VMware vSphere Distributed Resource Scheduler™, VMware vSphere High Availability, VMware vSAN™, and so on) Implement resource optimizations to streamline vSphere deployments Create an advanced configuration of vCenter Server (including an identity source) This five-day course provides hands-on training to equip students with a range of skills, from performing routine VMware vSphere© 7 administrative tasks to complex vSphere operations and configurations. Through lab-based activities, students are immersed in real-life situations faced by VMBeans, a fictitious company. These situations expose students to real-life scenarios faced by companies that are building and scaling their virtual infrastructure. Approximately 90% of the class is application-focused and taught through labs. The course aligns fully with the VMware Certified Advanced Professional ? Data Center Virtualization Deploy exam objectives. Course Introduction Introductions and course logistics Course objectives Introduction to fictitious company: VMBeans Configure and Manage Your vSphere Environment Perform various vCenter Server configurations Configure an external identity source Configure virtual networking with advanced options Configure and manage advanced storage configurations Configure vSphere clusters (also using Cluster QuickStart) Management and Operations in Your Data Center Collect vSphere log files Configure vCenter Server file-based backup Working with vCenter Server profiles Configure and manage advanced cluster settings Create and configure advanced host options Create and manage host profiles Manage and remediate clusters using vSphere Lifecycle Manager Create and configure a Content Library Update a managed virtual machine template Configure a central VMware ToolsTM installation repository Manage vSphere roles and permissions Troubleshoot Your Data Center Environment Troubleshoot vSphere configuration issues Troubleshoot resource pool configuration issues Troubleshoot network and storage issues Troubleshoot ESXi host issues Troubleshoot vCenter Server resource issues Increasing Security in Your Data Center Create and manage a Key Management solution Create an encrypted virtual machine Configure CPU scheduler options to achieve security remediations Performance and Optimization in Your Data Center Manage advanced virtual machine configurations Identify and implement vSphere resource optimization opportunities Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSphere: Advanced Administration Workshop [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 vSphere: Advanced Administration Workshop [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 is intended for System administrators who are either new to JBoss or have experience with JBoss Enterprise Application Platform 5. Base experience with system administration on Microsoft Windows, UNIX, or Linux© operating systems. Understanding of hardware and networking. Note: No prior knowledge of Java, scripting, or JBoss Developer Studio is required. Overview Upon successful completion of this course, students will be able to take the Red Hat Certified JBoss Administration (RHCJA) Exam. In this course, you'll discover the best practices for installing and configuring Red Hat© JBoss© Enterprise Application Platform (JBoss EAP) 7. Through hands-on labs, you'll learn the essential, real-world tasks that you need to know as a system administrator to effectively deploy and manage applications on JBoss EAP. This course will help prepare you to take the Red Hat Certified Specialist in Enterprise Application Server Administration exam. 1 - OVERVIEW OF JBOSS ENTERPRISE APPLICATION PLATFORM Learn the concepts and terminology of JBoss© Enterprise Application Platform 6, and install and run a JBoss Enterprise Application Platform instance. 2 - CONFIGURE JBOSS ENTERPRISE APPLICATION PLATFORM IN STANDALONE MODE Understand the directory structure of standalone mode and the standalone.xml configuration file, and deploy an application onto a standalone server. 3 - CONFIGURE JBOSS ENTERPRISE APPLICATION PLATFORM IN DOMAIN MODE Set up a domain, including a domain controller managing multiple host controllers. Also learn how to deploy an application onto a domain. 4 - CONFIGURE SERVERS Define a server group on a host, add servers to a server group, and deploy an application to a server group. 5 - USE THE CLI TOOL Learn how the command-line Interface tool can be used to script administrative tasks. 6 - THE DATASOURCE SUBSYSTEM Understand database connection pools in JBoss Enterprise Application Platform and how to configure the datasource subsystem. Learn how to deploy a Java? Database Connectivity (JDBC) driver and define a datasource. 7 - THE LOGGING SUBSYSTEM Configure the logging subsystem, including configuring the built-in handlers and loggers. 8 - THE MESSAGING SUBSYSTEM Understand JMS and HornetQ, including how to define and configure connection factories and destinations (topics and queues). 9 - THE SECURITY SUBSYSTEM Configure the security subsystem, including securing the management interfaces, securing an application, and securing a JMS destination. Also learn how to define an Lightweight Directory Access Protocol (LDAP) and database security realm. 10 - JVM CONFIGURATION Configure the JVM for both standalone and domain modes. 11 - MIGRATING APPLICATIONS TO JBOSS ENTERPRISE APPLICATION PLATFORM 6 Understand classpath and module dependencies, JPA issues, updating security settings, and other tips on how to migrate an application to JBoss Enterprise Application Platform 6. 12 - THE WEB SUBSYSTEM Configure the HTTP and HTTPS Connectors, set up an SSL connection, and configure an AJP Connector. 13 - INTRODUCTION TO CLUSTERING Set up JBoss Enterprise Application Platform 6 in a cluster in both standalone and domain mode. Additional course details: Nexus Humans Red Hat JBoss Application Administration I with Exam (AD249) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat JBoss Application Administration I with Exam (AD249) 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 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 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 2 Days 12 CPD hours This course is intended for The audience for this course is data professionals and data architects who want to learn about migrating data platform technologies that exist on Microsoft Azure and how existing SQL based workloads can be migrated and modernized. The secondary audience for this course is individuals who manage data platforms or develop applications that deliver content from the existing data platform technologies. Overview Understand Data Platform Modernization Choose the right tools for Data Migration Migrate SQL Workloads to Azure Virtual Machines Migrate SQL Workloads to Azure SQL Databases Migrate SQL Workloads to Azure SQL Database Managed Instance In this course, the students will explore the objectives of data platform modernization and how it is suitable for given business requirements. They will also explore each stage of the data platform modernization process and define what tasks are involved at each stage, such as the assessment and planning phase. Students will also learn the available migration tools and how they are suitable for each stage of the data migration process. The student will learn how to migrate to the three target platforms for SQL based workloads; Azure Virtual Machines, Azure SQL Databases and Azure SQL Database Managed Instances. The student will learn the benefits and limitations of each target platform and how they can be used to fulfil both business and technical requirements for modern SQL workloads. The student will explore the changes that may need to be made to existing SQL based applications, so that they can make best use of modern data platforms in Azure. Introducing Data Platform Modernization Understand Data Platform Modernization Understanding the stages of migration Data Migration Paths Choose the right tools for Data Migration Discover the Database Migration Guide Build your data estate inventory using Map Toolkit Identify Migration candidates using Data Migration Assistant Evaluate a Data workload using Database Experimentation Assistant Data Migration using Azure Database Migration Service Migrate non-SQL Server workloads to Azure using SQL Migration Assistant Migrating SQL Workloads to Azure Virtual Machines Considerations of SQL Server to Azure VM Migrations SQL Workloads to Azure VM Migration Options Implementing High Availability and Disaster Recovery Scenarios Migrate SQL Workloads to Azure SQL Databases Choose the right SQL Server Instance option in Azure Migrate SQL Server to Azure SQL DB offline Migrate SQL Server to Azure SQL DB online Load and Move data to Azure SQL Database Migrate SQL Workloads to Azure SQL Database Managed Instance Evaluate migration scenarios to SQL Database Managed Instance Migrate to SQL Database Managed instance Load and Move data to SQL Database Managed instance Application Configuration and Optimization

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune