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Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: System administrators Technical solutions architects Systems integrators Channel partners Value-added resellers Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview Upon completing this course, the learner will be able to meet these overall objectives: Understand Cisco UCS Management in Cisco Intersight Describe the Cisco UCS Platform including Cisco X-Series Understand Cisco Intersight Workload Optimizer Explain Kubernetes Orchestration with Cisco Intersight Kubernetes Service (IKS) and Cisco UCS Perform Automation Using Cisco Intersight Create Intersight Elements Using Terraform Manage Intersight Using the API Cisco Intersight Overview (DCISO) is a 3-day instructor led course that builds your experience with the administration of Cisco Unified Computing System (UCS) X-Series servers, including using Cisco Intersight for UCS management. This course covers architecture, configuration, and operation of Cisco Intersight©, and is designed to serve the needs of engineers seeking to understand the capabilities of Cisco Intersight for managing data centers from a single management platform.This course will help you:Use SaaS or on-prem version of Cisco Intersight to enable IT organizations to analyze, simplify, and automate their environments in more advanced ways than the prior generations of toolsGain hands-on experience using Cisco IntersightUnderstand the X-Series, B-Series, and C-Series product line similarities and differencesDescribe Cisco Intersight and how it can be used to manage UCS and Cisco Hyperflex©Understand the process for upgrading firmware with Cisco IntersightAdministering server profiles, pools, and policies with Cisco IntersightDescribe how to get started with Cisco Intersight programmability Course Outline Describing Cisco UCS Management in Cisco Intersight Describing the Cisco UCS Platform Describing Cisco Intersight Workloads Describing Automation Options Using Cisco Intersight Additional course details: Nexus Humans Cisco Intersight Overview (DCISO) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Intersight Overview (DCISO) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for network and software engineers and hold job roles such as: Network administrator Network engineer Network manager System engineer Project manager Network designer Overview After taking this course, you should be able to: Describe mobile network architecture basics List enabling technologies for 5G and describe 5G key use cases Perform basic operations on a Cisco 5G NSA mobile packet core Describe the Cisco 5G Converged SDN Transport Architecture Describe Cisco NFVI and perform basic operations using Cisco ESC and Cisco Virtualized Infrastructure Manager (VIM) Describe Cisco service provider automation and orchestration solutions to deploy and manage 5G network functions Describe the Cisco Ultra Cloud Core architecture and deploy the Cisco SMI Explain the 5G ready distributed Telco DC with Cisco ACI solution Describe the Cisco 5G security architecture The Cisco Service Provider 5G Technologies Foundations (SPMBL100) v1.0 course introduces mobile network components, basic 5G concepts, and features of 5G technology including faster data speeds, higher device capacity, and improved user experience. You will examine the mobile packet core solutions, 5G transport architecture, and Cisco© automation and orchestration tools used in 5G networks. You will also learn about the Cisco 5G Non-standalone (NSA) and the Cisco Ultra Cloud Core 5G standalone (SA) platform solutions, the Cisco 5G converged Software-Defined Networking (SDN) transport architecture, and Cisco edge computing solutions. You will study the Cisco Network Function Virtualization (NFVI) architecture, Cisco Network Services Orchestrator (NSO), and Cisco Elastic Services Controller (ESC). You will learn how 5G is distributed with Telco Data Center (DC) with Cisco Application Centric Infrastructure (Cisco ACI©). And finally, Zero-Touch Provisioning (ZTP), Cisco Crosswork?, and the Cisco 5G security architecture will also be presented. Mobile Network Fundamentals 5G Key Use Cases Examining Mobile Network Components Enabling Technologies for 5G Introduction to 5G NR Characteristics Cloud Radio Access network (RAN) Cisco 5G NSA Solution 5G NSA Basics 5G NSA StarOS Configurations Cisco 5G Converged SDN Transport Architecture Cisco 5G Transport Ready Devices Application Awareness and Network Slicing with Segment Routing Cisco NFV Infrastructure, Cisco Virtualized Network Functions (VNFs), Cisco VIM, and Cisco ESC NFVI and SDN Architecture Overview Cisco VIM Pod Configurations Cisco Service Provider Automation and Orchestration Telemetry Basics ZTP Fundamentals Cisco Ultra Cloud Core Cisco Ultra Cloud Core Basics Kubernetes and Docker Fundamentals 5G Ready Distributed DC with Cisco ACI Cisco ACI in Telco Data Centers 5GC Deployment Mitigating Threats in 5G Introduction to 5G Cybersecurity Risks Mitigating 5G Cybersecurity Risks

Duration 3 Days 18 CPD hours This course is intended for Security professionals. This module is intended for everyone who is involved in the implementation, evaluation and reporting of an information security program, such as an Information Security Manager (ISM), Information Security Officer (ISO) or a Line Manager, Process Manager or Project Manager with security responsibilities. Basic knowledge of Information Security is recommended, for instance through the EXIN Information Security Foundation based on ISO/IEC 27001 certification. Overview The module Information Security Management Professional based on ISO/IEC 27001 (ISMP.EN) tests understanding of the organizational and managerial aspects of information security.The subjects of this module are: Information security perspectives: business, customer, service provider/supplier Risk Management: analysis, controls, remaining risks Information security controls: organizational, technical, physical. Information security is the preservation of confidentiality, integrity and availability of information (ISO/IEC 27000 definition). Information security is gaining importance in the Information Technology (IT) world. Globalization of the economy is leading to an ever-increasing exchange of information between organizations (their staff, customers and suppliers) and an explosion in the use of networked computers and computing devices. The core activities of many companies completely rely on IT. Enterprise resource planning (ERP) management systems, the control systems that govern how a building runs or a manufacturing machine functions, day-to-day communications - everything - runs on computers. The vast majority of information - the most valuable commodity in the world - passes through IT. Information is crucial for the continuity and proper functioning of both individual organizations and the economies they fuel; this information must be protected against access by unauthorized people, protected against accidental or malicious modification or destruction and must be available when it is needed. Companies and individual users of technology are also beginning to understand how important security is and are beginning to make choices based on the security of the technology or service. Information Security Perspectives The candidate understands the business interest of information security The canidate understands the customer perspective on governance The candidate understands the supplierïs responsibilities in security assurance Risk Mangement The candidate understands the principles of risk management The candidate knows how to control risks The candidate knows how to deal with remaining risks Information Security Controls The candidate has knowledge of organizational controls The candidate has knowledge of technical controls The candidate has knowledge of physical, employment-related and continuity controls

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 5 Days 30 CPD hours This course is intended for Professionals who need to maintain or set up a Kubernetes cluster Container Orchestration Engineers DevOps Professionals Overview Cluster architecture, installation, and configuration Rolling out and rolling back applications in production Scaling clusters and applications to best use How to create robust, self-healing deployments Networking configuration on cluster nodes, services, and CoreDNS Persistent and intelligent storage for applications Troubleshooting cluster, application, and user errors Vendor-agnostic cloud provider-based Kubernetes Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on, vendor agnostic training you will go back to work with the knowledge, skills, and abilities to design, implement, and maintain a production-grade Kubernetes cluster. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Administrator (CKA) exam. You will be provided the components necessary to assemble your own high availability Kubernetes environment and configure, expand, and control it to meet the demands made of cluster administrators. Your week of intensive, hands-on training will conclude with a mock CKA exam that simulates the real exam. Cluster Architecture, Installation & Configuration Each student will be given an environment that allows them to build a Kubernetes cluster from scratch. After a detailed discussion on key architectural components and primitives, students will install and compare two production grade Kubernetes clusters. Review: Kubernetes Fundamentals After successfully instantiating their own Kubernetes Cluster, students will be guided through foundational concepts of deploying and managing applications in a production environment. Workloads & Scheduling After establishing a solid Kubernetes command line foundation, students will be led through discussion and hands-on labs which focus on effectively creating applications that are easy to configure, simple to manage, quick to scale, and able to heal themselves. Services & Networking Thoroughly understanding the underlying physical and network infrastructure of a Kubernetes cluster is an essential skill for a Certified Kubernetes Administrator. After an in-depth discussion of the Kubernetes Networking Model, students explore the networking of their cluster?s Control Plane, Workers, Pods, and Services. Storage Certified Kubernetes Administrators are often in charge of designing and implementing the storage architecture for their clusters. After discussing many common cluster storage solutions and how to best use each, students practice incorporating stateful storage into their applications. Troubleshooting A Certified Kubernetes Administrator is expected to be an effective troubleshooter for their cluster. The lecture covers a variety of ways to evaluate and optimize available log information for efficient troubleshooting, and the labs have students practice diagnosing and resolving several typical issues within their Kubernetes Cluster. Certified Kubernetes Administrator Practice Exam Just like the Cloud Native Computing Foundation CKA Exam, the students will be given two hours to complete hands-on tasks in their own Kubernetes environment. Unlike the certification exam, students taking the Alta3 CKA Practice Exam will have scoring and documented answers available immediately after the exam is complete, and will have built-in class time to re-examine topics that they wish to discuss in greater depth.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for technical professionals who will deploy or have deployed the Ultra M virtual packet core solution in their network, including: Systems engineers Technical support personnel Channel partners and resellers Overview After taking this course, you should be able to: Describe the Ultra M hardware and software Describe the features covered in the OpenStack component overview and deployment architecture Describe the Ultra M deployment architecture and operation Describe the Virtualized Packet Core-Distributed Instance (VPC-DI) architecture and packet flow Deploy and operate Ultra M This course teaches you about the hardware components of the Cisco© Ultra M virtual packet core solution, including Cisco Nexus© spine and leaf switches and Cisco Unified Computing System. The course also covers the operation and administration of the Red Hat Enterprise Linux operating system in relation to the Ultra M Undercloud and Overcloud deployments. Cisco Ultra M Hardware and Topology Overview Cisco Ultra M Hardware Components Cisco Ultra M UCS Components Cisco Ultra M UCS Interfaces Cisco Ultra M Networking Components Cisco Ultra M Physical Network Topology OpenStack Deployment Architecture and Components OpenStack Overview Nova ? OpenStack Compute Service Glance ? OpenStack Image Service Neutron ? OpenStack Network Service Keystone ? OpenStack Identity Service Cinder ? OpenStack Block Storage Service OpenStack Horizon Dashboard Ultra M Services Platform Ultra Services Platform Architecture Ultra M VNF Architecture Ultra Automation Services (UAS) Elastic Services Controller OpenStack and Ultra Automation Services VPC-DI Overview and Operation Virtual Packet Core Evolution Ultra M Layer 3 Network Topology VPC-DI Network Topology VPC-DI Packet Flows Ultra M Installation and Deployment Reviewing the Ultra M System Components Planning the Network for Installation and Deployment Deploying Hyperconverged Ultra M Models Using UAS Deploying VNFs Using AutoVNF Ultra Automation Services Additional course details: Nexus Humans Cisco Ultra M Deployment and Operations v1.0 (SPMBL301) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Ultra M Deployment and Operations v1.0 (SPMBL301) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4.5 Days 27 CPD hours This course is intended for This course is intended for individuals who have basic knowledge on cloud computing; on-premise system administrators; IT specialists, interested in AWS and Cloud Technologies. Overview Upon successful completion of this course, students will know how to design and deploy scalable, highly accessible and fault-tolerant systems in AWS. In this course, students will learn the main 'Managed Service' offered by AWS; How to design and deploy scalable, highly accessible and fault-tolerant systems in AWS; How to choose the most appropriate AWS service. Introduction Course overview Exam Blue Print Public clouds & cloud economics AWS Overview & Whitepapers Setting up AWS Account Identity and Access Management (IAM) Local users, groups & roles SAML providers Policies Cross Account Access Best practices & Examples Lab Exam highlights Sample questions Simple Storage Service (S3) & Glacier Buckets Objects Lifecycle Configurations and permissions Custom bucket policies Best Practices & Examples Lab Exam highlights Sample questions Virtual Private Cloud (VPC) VPC Internet gateway vs NAT Gateway Elastic IPs Subnets & Routing tables Security Groups & Network Access Lists VPC Peering & Endpoints Managed VPN Connections Best Practices & Examples Lab Exam highlights Sample questions Elastic Compute Cloud (EC2) Instances Amazon Machine Images(AMIs) Elastic Block Store (EBS) Network & Security Load Balancers (ELB) Auto Scaling Groups (ASG) Instance Management Best Practices & Examples Lab Exam highlights Sample questions Route 53 Hosted Zones Health checks Traffic flow Best Practices & Examples Lab Exam highlights Sample questions Relational Database Service (RDS) Engine types Performance & Resilience Subnet groups Best Practices & Examples Lab Exam highlights Sample questions CloudWatch Dashboard and Metrics CloudWatch logs CloudWatch rules Best Practices & Examples Lab Exam highlights Sample questions Other AWS Services Simple Overview CloudFront DynamoDB Elasticache Redshift SQS SWF SNS Elastic Transcoder API Gateway Kenesis CloudFormation Exam highlights Sample questions Multiple AWS Services exercise Lab 1 - Architecting multi-tier environment Lab 2 - Configure backup and monitoring Practice Exam Additional course details: Nexus Humans AWS Certified Solutions Architect - Associate 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 Certified Solutions Architect - Associate course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Data Center engineers Cloud engineers System engineers Field engineers Implementation/operation/support/installation and upgrade specialists IT administrators Network engineers Cloud computing experts Security specialists Cisco integrators and partners Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe items to be aware of before installing a Cisco CSR 1000V, including virtual machine requirements for installing Cisco CSR 1000V, licensing options that are available with Cisco CSR 1000V, supported Cisco IOS XE technologies, and management options for Cisco CSR 1000V. Prepare for installation of Cisco CSR 1000V Series routers. Explain common Cisco IOS XE Command-Line Interface (CLI) commands and conventions that can make it easier to work in the CLI, and describe how you can get help with command syntax and command options. Describe the options you can use to activate the license for Cisco CSR 1000V and activate the license for each option. Troubleshoot issues with Cisco CSR 1000V licenses. Upgrade the Cisco IOS XE software for an existing Cisco CSR 1000V installation. Describe the Call Home feature and its benefits, configure the feature on the Cisco CSR 1000V, including the anonymous reporting option, and display the Call Home configuration. List the different Call Home events that trigger alerts and commands that are executed as a result of the alert. Troubleshoot Cisco CSR 1000V Virtual Machine (VM) issues. Rehost a Cisco CSR 1000V license to a new VM, whether the current Cisco CSR 1000V router is accessible or not. Describe the Virtual Extensible LAN (VXLAN) Layer 2 gateway feature and configure this feature on the Cisco CSR 1000V router. Deploy the Cisco CSR 1000V in a virtual private cloud using Microsoft Azure or Amazon Web Services (AWS). Describe common network operations that the Cisco CSR 1000V supports. Explore programmability support on Cisco CSR 1000V, including APIs, shells, and data models. The Deploying Cloud Connect Solutions with Cisco Cloud Services Router 1000V (CLDCSR) course shows you how to deploy and operate Cisco© Cloud Services Router 1000V (CSR1000V) to provide comprehensive WAN gateway and network services functions including connectivity, routing, and security into virtual and cloud environments. Through expert instruction and hands-on labs, you will learn: Cisco CSR 1000V deployment options and requirements; hypervisor support, licensing models, features and programmability support; and how to implement, integrate, install, manage, and troubleshoot the deployment process and common operation issues.This class will help you:Learn how to use the CSR 1000V Series to extend your enterprise network to public and private cloudsGain hands-on practice acquiring skills in virtual and cloud-based technologies Course Outline Introducing Cisco CSR Product Overview Preparing for Installation Installing Cisco CSR 1000V in VMware Elastic Sky X (ESXi) Environments Booting Cisco CSR 1000V and Accessing the Console Using Cisco IOS XE Software Managing Cisco CSR 1000V Licenses Upgrading the Cisco IOS XE Software Mapping Cisco CSR 1000V Network Interfaces to Virtual Machine Network Interfaces Using GRUB Mode (Bootstrap Program) Configuring Call Home for Cisco CSR 1000V Configuring Virtual CPU (vCPU) Distribution Across Data, Control, and Service Planes Troubleshooting Cisco CSR 1000V Virtual Machine Issues Rehosting a Smart License Supporting the Cisco CSR 1000V Virtual Extensible LAN (VXLAN) Feature Deploying Cisco CSR 1000V in a Virtual Private Cloud Exploring Cisco CSR 1000V Operations Exploring Programmability on Cisco CSR 1000V

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course is as follows: System Engineers System Administrators Architects Channel Partners Data Analysts Overview Upon completing this course, you will be able to meet these overall objectives: Describe how harnessing the power of your machine data enables you to make decisions based on facts, bot intuition or best guesses. Reduce the time you spend investigating incidents by up to 90%. Find and fix problems faster by learning new technical skills for real world scenarios. Get started with Splunk Enterprise, from installation and data onboarding to running search queries to creating simple reports and dashboards. Accelerate time to value with turnkey Splunk integrations for dozens of Cisco products and platforms. Ensure faster, more predictable Splunk deployments with a proven Cisco Validated Design and the latest Cisco UCS server. This course will cover how Splunk software scales to collect and index hundreds of terabytes of data per day, across multi-geography, multi-datacenter and cloud based infrastructures. Using Cisco?s Unified Computing System (UCS) Integrated Infrastructure for Big Data offers linear scalability along with operational simplification for single-rack and multiple-rack deployments. Cisco Integrated Infrastructure for Big Data and Splunk What is Cisco CPA? Architecture benefits for Splunk Components of IIBD and relationship to Splunk Architecture Cisco UCS Integrated Infrastructure for Big Data with Splunk Enterprise Splunk- Big Data Analytics NFS Configurations for the Splunk Frozen Data Storage NFS Client Configurations on the Indexers Splunk- Start Searching Chargeback Reporting Building custom reports using the report builder Application Containers Understanding Application Containers Understanding Advanced Tasks Task Library & Inputs CLI & SSH Task Understanding Compound Tasks Custom Tasks Open Automation Troubleshooting UCS Director Restart Module Loading Report Errors Feature Loading Report Registration REST API- Automation UCS Director Developer Tools Accessing REST using a REST client Accessing REST using the REST API browser Open Automation SDK Overview Open Automation vs. Custom Tasks Use Cases UCS Director PowerShell API Cisco UCS Director PowerShell Console Installing & Configuring Working with Cmdlets Cloupia Script Structure Inputs & Outputs Design Examples Additional course details: Nexus Humans Cisco Splunk for Cisco Integrated Infrastructure (SPLUNK) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Splunk for Cisco Integrated Infrastructure (SPLUNK) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This class is intended for the following participants: Cloud architects, administrators, and SysOps/DevOps personnel Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview This course teaches participants the following skills: Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Platform Understand how pod networking works in Kubernetes Engine Create and manage Kubernetes Engine clusters using the GCP Console and gcloud/ kubectl commands Launch, roll back and expose jobs in Kubernetes Manage access control using Kubernetes RBAC and Google Cloud IAM Managing pod security policies and network policies Using Secrets and ConfigMaps to isolate security credentials and configuration artifacts Understand GCP choices for managed storage services Monitor applications running in Kubernetes Engine This class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring. Introduction to Google Cloud Platform Use the Google Cloud Platform Console Use Cloud Shell Define cloud computing Identify GCPs compute services Understand regions and zones Understand the cloud resource hierarchy Administer your GCP resources Containers and Kubernetes in GCP Create a container using Cloud Build Store a container in Container Registry Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE) Understand how to choose among GCP compute platforms Kubernetes Architecture Understand the architecture of Kubernetes: pods, namespaces Understand the control-plane components of Kubernetes Create container images using Google Cloud Build Store container images in Google Container Registry Create a Kubernetes Engine cluster Kubernetes Operations Work with the kubectl command Inspect the cluster and Pods View a Pods console output Sign in to a Pod interactively Deployments, Jobs, and Scaling Create and use Deployments Create and run Jobs and CronJobs Scale clusters manually and automatically Configure Node and Pod affinity Get software into your cluster with Helm charts and Kubernetes Marketplace GKE Networking Create Services to expose applications that are running within Pods Use load balancers to expose Services to external clients Create Ingress resources for HTTP(S) load balancing Leverage container-native load balancing to improve Pod load balancing Define Kubernetes network policies to allow and block traffic to pods Persistent Data and Storage Use Secrets to isolate security credentials Use ConfigMaps to isolate configuration artifacts Push out and roll back updates to Secrets and ConfigMaps Configure Persistent Storage Volumes for Kubernetes Pods Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts Access Control and Security in Kubernetes and Kubernetes Engine Understand Kubernetes authentication and authorization Define Kubernetes RBAC roles and role bindings for accessing resources in namespaces Define Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources Define Kubernetes pod security policies Understand the structure of GCP IAM Define IAM roles and policies for Kubernetes Engine cluster administration Logging and Monitoring Use Stackdriver to monitor and manage availability and performance Locate and inspect Kubernetes logs Create probes for wellness checks on live applications Using GCP Managed Storage Services from Kubernetes Applications Understand pros and cons for using a managed storage service versus self-managed containerized storage Enable applications running in GKE to access GCP storage services Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and Bigquery from within a Kubernetes application