1237 Courses in Cardiff delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview Apply a tool set of questions, techniques and design considerations Define application requirements and express them objectively as KPIs, SLO's and SLI's Decompose application requirements to find the right microservice boundaries Leverage Google Cloud developer tools to set up modern, automated deployment pipelines Choose the appropriate Google Cloud Storage services based on application requirements Architect cloud and hybrid networks Implement reliable, scalable, resilient applications balancing key performance metrics with cost Choose the right Google Cloud deployment services for your applications Secure cloud applications, data and infrastructure Monitor service level objectives and costs using Stackdriver tools This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course. Defining the Service Describe users in terms of roles and personas. Write qualitative requirements with user stories. Write quantitative requirements using key performance indicators (KPIs). Evaluate KPIs using SLOs and SLIs. Determine the quality of application requirements using SMART criteria. Microservice Design and Architecture Decompose monolithic applications into microservices. Recognize appropriate microservice boundaries. Architect stateful and stateless services to optimize scalability and reliability. Implement services using 12-factor best practices. Build loosely coupled services by implementing a well-designed REST architecture. Design consistent, standard RESTful service APIs. DevOps Automation Automate service deployment using CI/CD pipelines. Leverage Cloud Source Repositories for source and version control. Automate builds with Cloud Build and build triggers. Manage container images with Google Container Registry. Create infrastructure with code using Deployment Manager and Terraform. Choosing Storage Solutions Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost. Store binary data with Cloud Storage. Store relational data using Cloud SQL and Spanner. Store NoSQL data using Firestore and Cloud Bigtable. Cache data for fast access using Memorystore. Build a data warehouse using BigQuery. Google Cloud and Hybrid Network Architecture Design VPC networks to optimize for cost, security, and performance. Configure global and regional load balancers to provide access to services. Leverage Cloud CDN to provide lower latency and decrease network egress. Evaluate network architecture using the Cloud Network Intelligence Center. Connect networks using peering and VPNs. Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect. Deploying Applications to Google Cloud Choose the appropriate Google Cloud deployment service for your applications. Configure scalable, resilient infrastructure using Instance Templates and Groups. Orchestrate microservice deployments using Kubernetes and GKE. Leverage App Engine for a completely automated platform as a service (PaaS). Create serverless applications using Cloud Functions. Designing Reliable Systems Design services to meet requirements for availability, durability, and scalability. Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures. Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns. Design resilient data storage with lazy deletion. Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis. Security Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits. Leverage Cloud Security Command Center to help identify vulnerabilities. Simplify cloud governance using organizational policies and folders. Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform. Manage the access and authorization of resources by machines and processes using service accounts. Secure networks with private IPs, firewalls, and Private Google Access. Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor. Maintenance and Monitoring Manage new service versions using rolling updates, blue/green deployments, and canary releases. Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data. Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards. Use Uptime Checks to determine service availability. Respond to service outages using Cloud Monitoring Alerts. Additional course details: Nexus Humans Architecting with Google Cloud: Design and Process 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 Architecting with Google Cloud: Design and Process 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.

Software comes in a variety of guises - application software, firmware, middleware, system software. Increasingly, however, it doesn't necessarily present that way, especially as the boundaries between software, data and source code are becoming more and more blurred. And as software becomes more complex and more difficult to disentangle, so it becomes harder to manage and to value. But as it becomes more integral to every aspect of a business, so it is ever more important to keep on top of the technical, legal and commercial issues that arise, issues such as: To address these issues, organisations need a process for evaluating their current situation from all perspectives and for identifying the key actions they need to take to ensure holistic management of their software. This very practical programme will help set your organisation on the right path. Note: this is an indicative agenda, to be used as a starting point for a conversation between client and consultant, depending on the organisation's specific situation and requirements. This programme is designed to give you a deeper understanding of: The technical, legal and commercial risks associated with software development, procurement, use and commercial exploitation The most appropriate processes and responsibilities for managing those risks Note: this is an indicative agenda, to be used as a starting point for a conversation between client and consultant, depending on the organisation's specific situation and requirements. 1 Software business model What is the software business model? What options exist? Has the software business model been thoroughly reviewed to ensure its viability? This means fully understanding the market opportunity, the business environment and customer and end-user expectations. 2 Technology What are the technologies? How has the technology selection been validated considering the competitiveness, structure, and potential for future innovation? 3 UI and UX What is the UI and UX? How to best articulate this? Has the user interface and user experience been studied from both a subjective and objective view to give insight into customer behaviour? 4 Legal framework / commercial aspects Has the necessary legal framework or commercial aspects that may impact upon use or operation of the software been understood and risks identified and mitigated? 5 Software development What is the software development process? Are both the business management and development team's processes resilient in order to improve the company's capability and the maturity of the software? 6 Software quality What is quality? What are the metrics around software quality? What is the maturity level, based around a qualitative and quantitative assessment? 7 Intellectual property associated What IP should be considered when it comes to software? Does the company understand both the intellectual property risks and potential opportunities associated with this software? 8 Security What does software security mean in this context? How is it being addressed? 9 An holistic approach Review of roles and responsibilities to ensure appropriate management and protection

Duration 2 Days 12 CPD hours This course is intended for This course is ideal for beginners and intermediate frontend developers who want to become full-stack developers. You will need some prior working knowledge of JavaScript and MongoDB as we skim over its basics and get straight to work. Overview At the end of this day, students should be able to: Understand the MEAN architecture Create RESTful APIs to complete CRUD tasks Build a blogging application with basic features Describe best practices to secure node applications Implement authentication and authorization Create simple animations using Angular Perform unit testing on Angular applications MongoDB, Express, Angular and Node.js Fundamentals begins by demystifying the MEAN architecture. You will review the features of the JavaScript technologies, frameworks, or libraries that make up a MEAN stack. You will also understand how to develop a RESTful API using Node.js, Express.js, and MongoDB Atlas. This course will enable you to discover how to build a blogging application using the MEAN stack. Next, you will learn about authentication using MEAN, and explore the features of Angular, such as pipes, reactive forms, modules and optimizing apps, animations and unit testing, and much more. By the end of the course, you will have all of the knowledge you need to become a pro at developing efficient web applications using JavaScript technologies. Introduction to the MEAN stack MEAN Architecture Demystification Getting Started with Node Activity 1: Creating an HTTP Server for a Blogging Application Understanding Callbacks, Event loop and EventEmitters in Node Understanding Buffers, Streams and Filesystem in Node Activity 2: Streaming Data to a File Developing RESTful APIs to perform CRUD operations Getting Started with RESTful APIs Getting started with MongoDB Atlas Activity 3: Connecting the Node Application with MongoDB Atlas Getting Started with Express Activity 4: Creating Express API Route and Controller Activity 5: Testing Fully Functional RESTful API Beginning Frontend Development with Angular CLI Getting Started with Angular CLI Using Components, Directives, Services, and Making HTTP Requests in Angular Activity 6: Designing the Frontend and Components for the Blogging Application Activity 7: Writing Services and Making HTTP Request Calls to an API Understanding Angular Forms and Routing Activity 8: Creating a Form Application Using the Reactive/Model-Driven Method Activity 9: Creating and Validating Different Forms Using the Template and Reactive Driven Method Activity 10: Implementing a Router for the Blogging Application Understanding MEAN Stack Security Node Security and Best Practices Node Application Authentication with JSON Web Token (JWT) Activity 11: Securing the RESTful API Node Application Authentication with Passport Activity 12: Creating a Login Page to Allow Authentication with Twitter Using Passport Strategies Angular Declarables, Bootstrapping, and Modularity Using Inbuilt Pipes, Custom Pipes, Custom Directives, and Observables Activity 13: Communicating Between Two Components Using Observable Angular Bootstrapping and Modularity Activity 14: Creating a Lazy Loaded Application Testing and Optimizing Angular Applications Angular Animations and Latest Angular Features Activity 15: Animating the Route Transition Between the Blog Post Page and View Post Page of the Blogging Application Optimizing Angular Applications Testing Angular Applications Activity 16: Performing Unit Testing on the App Root Component and Blog-Post Component Overview on the new features in Angular

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 1 Days 6 CPD hours In this hands on workshop for Agile Scrum Masters, Release Train Engineers and anyone serving as Jira Administrators, Jira experts will lead you through advanced configuration and customization settings in Jira, from installation through to customized screens, workflows, filters and reports. Jira Administration Adding and managing Users Administering and managing Groups Global Jira Settings Jira layout and interface customization User authentication and security Jira Customization Customization of screens and fields Customization of workflows Project and Board Administration Configuring and managing Projects Configuring and managing Boards Creating and managing Filters JQL Jira Integration Integrating Jira with Atlassian Tools Retrospectives and Documentation in Confluence Code management with Bitbucket Integration management with Bamboo Building a Dashboard with gadgets Jira Plug-ins and Marketplace

Payroll Accounting Training Fast Track (Level 1-3): This course brings you the skills you need to use this popular payroll program to confidently process any businesses payroll. Being able to use Sage 50 Payroll should lead to greater productivity. But it also helps the business conform to employment legislation and data security requirements. Furthermore, broken down into practical modules this course is a very popular and well-received introduction to moving from manual payroll to computerised payroll. Moreover, it incorporates all the new government requirements for RTI reporting. Finally, Payroll is a vital role within any organisation. A career in payroll means specialising in a niche field with excellent progression opportunities. In this course, you will be learning from Level 1 to Level 3 of Sage Computerised Payroll which could help you to land your dream job in the Payroll sector. As Osborne Training is a Sage (UK) Approved training provider, you could gain the following qualifications provided that you book and register for exams and pass the exams successfully: Sage 50c Computerised Payroll Course (Level 1) Sage 50c Computerised Payroll Course (Level 2) Sage 50c Computerised Payroll Course (Level 3) All exams are conducted online through Sage (UK). Level 1: Introduction to payroll Introduction to Real-Time Information (RTI) Preparing employee records Starters - new employees Calculation of Gross Pay The PAYE and National Insurance systems Creating Payslips and analysis Creating Backups and Restoring data Payment analysis Processing National Insurance contributions Voluntary deductions Processing Leavers Completing the Payroll Procedures Level 2: Introduction to Payroll Introduction to Real Time Information (RTI) Preparing employee records Creating Backup and Restoring Data Starters - new employees Calculation of Gross Pay Deductions - Pension schemes and pension contributions Processing the payroll - introduction to the PAYE system Processing the payroll - income tax National Insurance contributions - Processing in the payroll Voluntary deductions Student Loan repayments Attachment of Earnings Orders & Deductions from Earnings Orders Processing Leavers Introduction to statutory additions and deductions Processing Statutory sick pay (SSP) Processing Statutory Paternity Pay (SPP) Statutory paternity pay and paternity leave Completing the processing of the payroll Creating Payslips and analysis Reports and payments due to HMRC Level 3: Advanced processing of the payroll for employees Preparation and use of period end preparation of internal reports Maintaining accuracy, security and data integrity in performing payroll tasks. Deductions - Pension schemes and pension contributions Processing the payroll -complex income tax issues Payroll Giving Scheme processing Processing Statutory Adoption Pay (SAP) Advanced Income tax implications for company pension schemes Student Loan repayments Processing Holiday Payments Processing Car Benefit on to the Payroll System Attachment of Earnings Orders & Deductions from Earnings Orders Leavers with complex issues Advanced processing of statutory additions and deductions Recovery of statutory additions payments - from HMRC Completing the processing of the payroll Complex Reports and payments due to HMRC Cost Centre Analysis Advanced, routine and complex payroll tasks Calculation of complex gross pay

GPON and FTTx networks training course description Designed to benefit those requiring an in depth knowledge of the principles and applications of Ten Gigabit and Gigabit Passive Optical Networking and Fibre to the X in NG Networks applications and their associated equipment, its flexibility and function within a modern transmission network. Using an effective mix of 'hands on' equipment instruction and correlation to theory based learning the delegate will gain a complete understanding of the equipment and the tasks to be undertaken in a real life situation. What will you learn Compare PON/FTTx systems. Explain network elements and designs. Support applications and network interfaces. List circuit provisioning and bandwidth requirements. Understand upstream & downstream issues. Describe headend & network elements/OLT-ONT. Perform network testing with OTDR test sets. GPON and FTTx networks training course details Who will benefit: Anyone working with GPON and FTTx. Prerequisites: Introduction to data communications and networking. Duration 5 days GPON and FTTx training course contents FTTN, FTTC, FTTH SMF, MMF, Fibre safety and properties (dispersion/attenuation), Fibre reel cables and types, Fibre installation and air blown fibre, Transmitters and receivers - power budget/laser classes. Fibre to the home (FTTH), FTTC (Fibre to the Cabinet), FTTN (Fibre to the node) , FTTD (Fibre to the desk), FFTH topologies and wavelengths, Active or passive optical network. WDM equipment and GPON OSP design Wavelength considerations, WDM/DWDM/CWDM, EDFA optical amplification, AWG (Arrayed Waveguide Grating) splitters , Couplers (splitters) and losses, Optical splitters 1x2, 1x4, 1x8, 1x16, 1x32, 1x64, 2x64. PON variants Gigabit passive optical network (GPON), Gigabit Ethernet passive optical network (GEPON), Time division PON (TDM-PON), Wave Division Multiplexing PON (WDM-PON), 1Gbps, 10Gbps, 40Ggps, 100Gbps FSAN (Full Service Access Network) NGA (Next Generation Access), Strategies for TDM-PON to WDM-PON migration, Architecture of NG-PON (hybrid WDM/TDM PON), Additional services than triple play. GEPON design GPON OSP centralized and distributed design, GPON PON splitters x4 x8 x32, Fibre splice trays /cassette trays & enclosures, GPON field testing and installation verification, GPON physical layer testing, Optical time domain reflectometer (OTDR), Optical power source & meter, Optical return loss (ORL), APON/BPON/GPON/EPON comparisons. GPON ITU-T G.984.1 Reference model, terminology & architecture, Access network system management functions. ONT & OLT functional block examples. FTTx scenarios, 4 switching arrangements for external access network backup. GPON ITU-T G.984.2 Physical layer, Enhancement band, Bit rate and wavelengths, FEC and RAMAN. GPON ITU-T G.984.3 Frame structure, GPON encapsulation method (GEM), GTC adaptation and framing sublayer protocol stack, Status reporting & traffic monitoring DBA (SR-DBA & TM-DBA), Transmission container (T-CONT) types, Downstream & upstream multiplexing, GEM port identifier, Media access control and ONU registration, Extended bandwidth assignment model scheduling architecture, PLOAM & alarm messages, Downstream & Upstream FEC, Process order in a GTC transmit flow. GPON ITU-T G.984.4 and G.988 ONT management and control interface (OMCI) Management interface, Reference model, Typical ONT with SCTE 55-1 or SCTE 55-2 compliancy. GPON ITU-T G.984.5 enhancement band Band options, GPON NGA, Wavelength allocation. GPON ITU-T G.984.6 optical reach extension (G.984.re) Reach extension (RE), OA-based and OEO-based reach extenders, Protection, Reach extender with OTDR blocking filters (BF) and bypass (BYP) filters. GPON ITU-T G.984.7 long reach Quiet Window. 10-GPON ITU-T G.987.1 (XG-PON) Scenarios, reference access network architecture, XG-PON with G-PON through WDM1r, G-PON and XG-PON wavelength allocation, G-PON and XG-PON co-existence with video overlay option, RE migration scenarios. G.989 40Gbps XG-PON2 Functional reference architecture, NG-PON2 system coexistence with legacy systems, Definitions of legacy compatibility terminology. GPON issues and standards GPON components GPON OLT / GPON ONT, GPON management, Operational support systems (OSS), Network management systems (NMS), OMCI (ONT Management control interface), RG (Residential gateway), Data and prioritised voice channel product, GPON broadband-forum standards, Broadband-forum , TR-069 and TR-156, HPNA (home phone network alliance), Powerline carrier (PLC), GPON DLNI G.hn or G.9960, MOCA, FTTH council certification standard for network certification. Fibre-connected home badge, Ethernet in the first mile (EFM), GPON frame synchronization to network timing, Direct clock synchronization interface (BITS), Multiservice access platform (MSAP), Software planning tool, Superconnected cities / voucher scheme. Hands on practical assignments Single and multimode fibre recognition, Fibre Cleaning methods, Checking cleaning with an optical microscope, Optical light source and optical power meter referencing, PON splitter and fibre drum testing with an optical power meter, 6km classroom passive optical network testing with an OTDR at 1310/1550nm, Using decibels (dB's) and decibel milliwats (dBm's), Designing networks up to 20km long using vendor specifications (power budget), Fault finding with a visible fault locator.

Python training course description This Python course focusses on teaching Python for use in network automation and network DevOps. We focus on getting delegates up and running with Python and network automation as quickly as possible rather than making them great programmers. In other words we concentrate on enabling delegates to use network automation libraries such as netmiko, NAPALM and Nornir, and APIs such as NETCONF and RESTCONF rather than enabling delegates to produce object oriented programs. Hands on sessions use Cisco and Juniper devices. What will you learn Run Python programs. Read Python programs. Write Python programs. Debug Python programs. Automate network tasks with Python programs. Configure network devices with Python. Collect data from network devices with Python. Python training course details Who will benefit: Network engineers. Prerequisites: TCP/IP Foundation Duration 5 days Python training course contents What is Python? Programming languages, Why Python? Python in interactive mode, Python scripts, ipython, Python version 2 versus version 3. A simple Python script. Comments. Hands on Installing Python, Hello world. A network example On box vs off box Python. telnet, ssh, NETCONF, HTTP, APIs, manufacturers and API support, analysis of a simple telnetlib program. Hands on Using Python to retrieve the configuration from a network device. Using wireshark to analyse the actions. Python basics I/O, operators, variables and assignment, types, indentation, loops and conditionals. Hands on Modifying the telnet program, changing configurations on a network devices. Functions, classes and methods What are functions, calling functions, builtin functions, useful builtin functions, file handling, classes, objects, creating instances. Hands on Storing configurations in files, configuring devices from files, using an inventory file to work on multiple devices. Libraries and modules Modules, files and packages, import, from-import, Python standard library, other packages, pip install, executing other programs. Managing python libraries. Hands on Using pip, installing and using ipaddress, subprocess to access netsnmp. For the more advanced, using the sockets library. Paramiko and netmiko SSH, enabling SSH on devices, keys. Paramiko versus netmiko, example scripts. pexpect. Hands on Configuring VLANs from Python. pySNMP Gathering facts using previous methods, SNMP review, pySNMP GET, pySNMP and SNMPv3. easySNMP library. Hands on Walking a MIB from Python. NETCONF What is NETCONF? Enabling NETCONF on devices, A first ncclient script, device handlers, get_config, edit_config, copy_config, delete_config, commit, validate, pyEZ, utils_config, utils.sw. Hands on Configuration using ncclient and PyEZ. This session is expanded for those interesting in JunOS automation. Manipulating configuration files Builtin functions, string handling. Unicode. Sequences, strings, lists, tuples. Dictionaries. TextFSM. Regular expressions. JSON, YAML, XML, YANG, Jinja2, templates. Hands on Jinja2 templating with Python to configure network devices. NAPALM Getters, configuration operations, supported devices, NAPALM transport, Config-replace, Config-merge, Compare config, Atomic changes, rollback. Example NAPLAM scripts. Hands on Using NAPALM to gather facts, Using NAPALM for configuration management REST and RESTCONF What is REST, HTTP methods, GET, POST, cURL, Postman, Python requests library. RESTCONF, a RESTCONF example. Hands on Modifying a configuration using RESTCONF. Scapy What is scapy, Scapy in interactive mode, Scapy as a module. Hands on Packet crafting from Python. Warning Errors and exceptions, Exception handling, try, except. Memory management. Garbage collection. Context management, With. Hands on Improving Python code. Nornir What is Nornir? A network automation framework, inventories, connection management and parallelization. Nornir architecture and other libraires. Hands on Setting up nornir, nornir fact gathering, nornir tasks. Optional Writing your own functions, Writing your own classes. pyntc. Hands on Writing reusable code.

Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.