33 Scala courses in London

HTML5 development training course description This three-day MTA Training course helps you prepare for Microsoft Technology Associate Exam 98-375, and build an understanding of these topics: Manage the Application Life Cycle, Build the User Interface by Using HTML5, Format the User Interface by Using CSS, Code by Using JavaScript. This course leverages the same content as found in the Microsoft Official Academic Course (MOAC) for this exam. What will you learn Manage the Application Life Cycle. Build the User Interface by Using HTML5. Format the User Interface by Using CSS. Code by Using JavaScript. HTML5 development training course details Who will benefit: Anyone working with HTML5. Prerequisites: None. Duration 3 days HTML5 development training course contents Managing the Application Life Cycle Platform fundamentals Packaging and the runtime environment: app package, app container, credentials/permission sets, host process, leverage existing HTML5 skills and content for slate/tablet applications. Manage the state of an application Manage session state, app state and persist state information; understand states of an application; understand the differences between local and session storage. Debug and test a HTML5 touch-enabled application Touch gestures; gestures you test on a device. HTML5 UI: Text, Graphics, and Media HTML5 tags for text content and graphics. When, why and how to use Canvas; when, why and how to use scalable vector graphics (SVG). HTML5 tags to play media. Video and audio tags. HTML5 UI: Organization, Input, and Validation HTML5 tags to organise content and forms Tables, lists, sections; semantic HTML. HTML5 tags for input and validation CSS Essentials: Content Flow, Positioning, styling Core CSS concepts Separate presentation from content (create content with HTML and style content with CSS); manage content flow (inline versus block flow); manage positioning of individual elements( float versus absolute positioning); manage content overflow (scrolling, visible and hidden); basic CSS styling. CSS Essentials: Layouts Arrange UI content by using CSS Use flexible box and grid layouts to establish content alignment, direction and orientation; proportional scaling and use of "free scale" for elements within a flexible box or grid; order and arrange content; concepts for using flex box for simple layouts and grid for complex layouts; grid content properties for rows and columns; use application templates. Managing Text Flow by Using CSS Regions and using regions to flow text content between multiple sections (content source, content container, dynamic flow, flow-into, flow-from, msRegionUpdate, msRegionOverflow, msGetRegionContent); columns and hyphenation and using these CSS settings to optimise the readability of text; use "positioned floats" to create text flow around a floating object Managing the Graphical Interface by Using CSS Graphics effects (rounded edges, shadows, transparency, background gradients, typography and Web Open Font Format); 2-D 3-D transformations (translate, scale, rotate, skew and 3-D perspective transitions and animations); SVG filter effects; Canvas. JavaScript and coding essentials Manage and maintain JavaScript, Create and use functions; jQuery and other third-party libraries. Update the UI by using JavaScript Locate/access elements; listen and respond to events; show and hide elements; update the content of elements. Animations, Graphics, and Accessing Data Code animations with JavaScript animation; manipulate the canvas; work with images, shapes and other graphics. Access data access by using JavaScript Send and receive data; transmit complex objects and parsing; load and save files; App Cache; datatypes; forms; cookies; localStorage JavaScript coding for Touch Interface, Device and Operating System Resources, and More Respond to the touch interface, Gestures, how to capture and respond to gestures, Code additional HTML5 APIs, GeoLocation, Web Workers, WebSocket; File API, Access device and operating system resources, In- memory resources, such as contact lists and calendar; hardware capabilities, such as GPS, accelerometer and camera.

SAFe® Advanced Scrum Master: In-House Training Prepare to step into a SAFe® leadership role and learn how to facilitate Agile team, program, and enterprise success by becoming a SAFe® 5 Advanced Scrum Master (SASM). This course prepares current Scrum Masters for their leadership role in facilitating Agile team, program, and enterprise success in a SAFe® implementation. Explore facilitation of cross-team interactions in support of program execution and relentless improvement. Expand the Scrum paradigm with an introduction to scalable engineering and DevOps practices, the application of Kanban to facilitate the flow of value, and supporting interactions with architects, product management, and other critical stakeholders. Learn actionable tools for building high-performing teams and explore practical ways of addressing Agile and Scrum anti-patterns in the enterprise. What you will Learn To perform the role of a SAFe® Advanced Scrum Master, you should be able to: Apply SAFe® principles to facilitation, enablement, and coaching in a multi-team environment Build a high-performing team and foster relentless improvement at scale Address Agile and Scrum anti-patterns Support the adoption of engineering practices, DevOps, and Agile architecture Learn to apply Kanban and Extreme Programming (XP) frameworks to optimize flow and improve the team's work Facilitate program planning, execution, and delivery of end-to-end systems value Support learning through participation in communities of practice and innovation cycles Exploring the Scrum Master role in the SAFe® enterprise Applying SAFe® Principles: A Scrum Master's perspective Exploring Agile and Scrum anti-patterns Facilitating program execution Improving flow with Kanban and XP Building high-performing teams Improving program performance with Inspect and Adapt

SAFe® Advanced Scrum Master Prepare to step into a SAFe® leadership role and learn how to facilitate Agile team, program, and enterprise success by becoming a SAFe® 5 Advanced Scrum Master (SASM). This course prepares current Scrum Masters for their leadership role in facilitating Agile team, program, and enterprise success in a SAFe® implementation. Explore facilitation of cross-team interactions in support of program execution and relentless improvement. Expand the Scrum paradigm with an introduction to scalable engineering and DevOps practices, the application of Kanban to facilitate the flow of value, and supporting interactions with architects, product management, and other critical stakeholders. Learn actionable tools for building high-performing teams and explore practical ways of addressing Agile and Scrum anti-patterns in the enterprise. What you will Learn To perform the role of a SAFe® Advanced Scrum Master, you should be able to: Apply SAFe® principles to facilitation, enablement, and coaching in a multi-team environment Build a high-performing team and foster relentless improvement at scale Address Agile and Scrum anti-patterns Support the adoption of engineering practices, DevOps, and Agile architecture Learn to apply Kanban and Extreme Programming (XP) frameworks to optimize flow and improve the team's work Facilitate program planning, execution, and delivery of end-to-end systems value Support learning through participation in communities of practice and innovation cycles Exploring the Scrum Master role in the SAFe® enterprise Applying SAFe® Principles: A Scrum Master's perspective Exploring Agile and Scrum anti-patterns Facilitating program execution Improving flow with Kanban and XP Building high-performing teams Improving program performance with Inspect and Adapt

PRINCE2 is a process-based project management methodology that offers a flexible and scalable solution to handle all kinds of projects. This is why many organisations favour it since it fosters better collaboration between team members and external stakeholders. Course Overview PRINCE2 is a process-based project management methodology that offers a flexible and scalable solution to handle all kinds of projects. This is why many organisations favour it since it fosters better collaboration between team members and external stakeholders. The PRINCE2 certification will surely help learners advance in terms of worth and employment opportunities if they list it as a skill in their resumes. This 3-day introductory PRINCE2® Foundation course is designed to give candidates a comprehensive overview of the PRINCE2® methodology. They will learn about various essential topics such as integrated elements, applying PRINCE2®, delivery approaches, processes, principles, tailoring, etc. The PRINCE 2 foundation course will introduce project management to students. This course will focus on different aspects of project management, providing the knowledge, tools and techniques used to understand each concept and methodology. At the end of this PRINCE2® Foundation course, delegates will be able to perform various project manager activities in an organisation effectively and efficiently. They will also be able to use various PRINCE2® methodologies properly. This training will also cover the following concepts: • Project management • Projects in context • Measuring success • Tailor to suit the project • Embedding PRINCE2® • Tailoring constraints and influences Who it’s for? Prerequisites: In this PRINCE2® Foundation course, there are no formal prerequisites. PRINCE2 Foundation can be studied on its own or as a prerequisite for the PRINCE2 Practitioner course This PRINCE2® Foundation course is designed for anyone who wants to gain in-depth knowledge about project management methodologies. What's Included in this PRINCE2 Foundation Training Course? The following is included in this PRINCE2® Foundation training course: • PRINCE2® Foundation Examination • Pre-course material • PDUs • Experienced PRINCE2® Instructor • Certificate • Refreshments PRINCE2® Foundation Exam: The PRINCE2® Foundation examination Focuses on knowledge of PRINCE2® as a methodology. • Type of Questions: Multiple choice. • Total Questions: 60. • Number of marks: 60 marks, each question is worth 1 mark. • Pass mark: 55%, or 33/60. • Duration: 60 Minutes. • Material allowed: No, this is a ‘closed book’ exam. This PRINCE2® foundation training course covers the following topics: Module 1: Introduction to Projects and the PRINCE2® Methodology: • PRINCE2® “Project” Definition • Project Characteristics • Project Management • What is PRINCE2®? • Four Integrated Elements • What Does PRINCE2® Not Provide? • What Makes a Project a PRINCE2® Project? Module 2: Project Manager Activities: • Customer/Supplier Environment • Projects in Context • Commercial Environment • Applying PRINCE2® • Delivery Approaches • Measuring Success • Organisational Capability • Seven Processes Module 3: Seven Themes: • Business Case • Organisation • Quality • Plans • Risk • Change • Progress Module 4: Seven Principles: • Continued Business Justification • Learn from Experience • Defined Roles and Responsibilities • Manage by Stages • Manage by Exception • Focus on Products • Tailor to Suit the Project Module 5: Considerations for Organisational Adoption: • Creating a PRINCE2® Based Project Management Method • Creating Tailoring Rules and Guidelines • Rating the Complexity of Projects • Embedding PRINCE2® • Tailoring • What Should Be Tailored? • Tailoring Constraints and Influences • Creating an Organisation’s Method DURATION 2-3 days WHATS INCLUDED Course Material Case Study Experienced Lecturer Refreshments Certificate

Intro to SQL training course description A hands on course focusing on the use of SQL. In particular this course does not concentrate on any particular version of SQL but rather enables delegates to recognise the differences found in SQL on different platforms. What will you learn Explain the difference between standard SQL and different flavours. Use SQL statements to query databases. Use SQL statements to define databases. Intro to SQL training course details Who will benefit: Anyone working with databases. Prerequisites: None. Duration 2 days Intro to SQL training course contents What is SQL? What is SQL? History, standards, What is SQL used for? Dialects, ANSI SQL, PL/SQL, Transact SQL, front ends. Database basics RDBMS, Tables. Hands on Investigating a database. Basic SQL commands SQL Overview: SQL DML, SQL DDL, SQL queries. SELECT, WHERE and ORDER BY clauses. Combining conditions. IN, LIKE and BETWEEN. Hands on Querying a database from existing tables. SQL data retrieval Scalar functions. Hands on Selecting data from an existing database. More SQL data retrieval Scalar functions, variations. Aggregate functions, GROUP BY. HAVING. Hands on Selecting data from an existing database. Table joins Multiple tables, joins, keys, inner joins, left joins, right joins. Hands on Selecting data from an existing database. SQL basic data manipulation INSERT, UPDATE, MERGE, DELETE. Transaction controls: COMMIT, ROLLBACK. Hands on Modifying data in tables. SQL Data Definition USE, CREATE, DROP, TRUNCATE, ALTER. Hands on Managing new tables and columns. Data control GRANT, REVOKE. Hands on Defining permissions.

About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course will assist energy professionals in the planning and operation of a power system from renewable energy sources. The VILT course will discuss key operating requirements for an integrated, reliable and stable power system. The unique characteristics of renewable energy are discussed from a local, consumer centric and system perspective, bringing to life the ever-changing paradigm in delivering energy to customers. The course will explore the technical challenges associated with interconnecting and integrating hundreds of gigawatts of solar power onto the electricity grid in a safe and reliable way. With references to international case studies, the VILT course will also demonstrate the state of the art methodologies used in forecasting solar power. The flexibility of the invertor-based resources will facilitate higher penetrations of photovoltaic, battery electricity storage systems and demand response while co-optimizing customer resources. The contribution of inverter-based generators that provides voltage support, frequency response and regulation (droop response), reactive power and power quality with a high level of accuracy and fast response will be addressed. Furthermore, this VILT course will also describe how microgrids' controllers can allow for a fully automated energy management. Distributed energy resources are analyzed in detail from a technical and financial aspect and will address the best known cost based methodologies such as project financing and cost recovery. Training Objectives Upon completion of this VILT course, participants will be able to: Learn about renewable energy resources, their applications and methods of analysis of renewable energy issues. Review the operational flexibility of renewable energy at grid level, distribution network and grid edge devices. Understand and analyze energy performance from main renewable energy systems. Get equipped on the insights into forecasting models for solar energy. Predict solar generation from weather forecasts using machine learning. Explore operational aspects of a complex power system with variability from both the supply & demand sides. Manage the impact of the design of a Power Purchase Agreement (PPA) on the power system operation. Target Audience Engineers, planners and operations professionals from the following organizations: Energy aggregators who would like to understand the system operations of renewable energy power plants Renewable energy power system operator Energy regulatory agencies who aim to derive strategies and plans based on the feedback obtained from the power system operations Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand response and energy conservation programs in light of the integration of new technologies, regulatory changes and the accelerated penetration of renewable energy resources. This VILT course provides examples and case studies from North American and European jurisdictions covering the operational flexibilities on the demand side including requirements for new building codes to achieve zero net energy. The course describes a public agency's goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy. This course presents the demand response implemented for economics and system security such as system balancing and relieving transmission congestion, or for system adequacy. The course also presents the principal attributes of conservation programs and the associated success criteria. In a system with increased penetration of renewable resources, demand response provides flexibility to system operators, helping them to maintain the reliability and the security of supply. Demand response is presented as a competitive alternative to additional power sources, enhancing competition and liquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOT enabled flexibilities at system level, distribution networks and microgrids. The VILT course introduces the blockchain as a new line of defense against cyber threats and its increasing application in P2P transactions and renewable certificates. Our trainer's industry experience spans three decades with one of the largest Canadian utilities where she led or contributed to large operational studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state of the art methodologies brings real life experience of recent industry developments. Training Objectives Innovative Digital Technologies How systems Facilitate Operational Flexibility on the Demand Side The Ecosystem of Demand Side Management Programs Advanced Machine Learning techniques with examples from CAISO Regulatory Policy Context and how to reduce regulatory barriers Industry Examples from NERC and ENTSO Relevant Industry standards: IEEE and IEC Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe) Grid solutions with IEC 61850 communication protocols Decentralized grid controls The New Grid with accelerated V2G and Microgrids How DSM is and will be applied in Your System: Examples and discussions Target Audience Regulators and government agencies advising on public energy conservation programs All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices Any utility professional interested in understanding the new developments in the power industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Total sFlow training course description A comprehensive hands on course covering sFlow. The course starts with the basics of flows moving swiftly onto configuring sFlow and studying the information it provides. What will you learn Describe sFlow. Use Nmap. Recognise how sFlow can be used. Describe the issues in using sFlow. Compare SFlow with SNMP and NetFlow. Total sFlow training course details Who will benefit: Technical staff working with sFlow. Prerequisites: TCP/IP foundation for engineers. Duration 1 day Total sFlow training course content What is SFlow? Where to monitor traffic. Packet based sampling, Time based sampling. Adaptive sampling. Flow samples, Counter samples. Hands on Wireshark flow analysis. Getting started with sFlow sFlow configuration. Enabling sFlow. Per interface. Hands on Accessing sFlow data using the CLI. sFlow architecture SFlow agents and collectors. When flows are exported. Distributed sFlow architecture, subagents. sFlow reporting products. SolarWinds. Hands on Collector software. sFlow features and benefits Troubleshooting with sFlow, controlling congestion, security and audit trail analysis. Hands on Using sFlow. sFlow versus other technologies Flows. sFlow impact and scalability. sFlow versus SNMP and RMON, SFlow versus NetFlow/IPFIX. Hands on Advanced sFlow configuration.

Streaming telemetry training course description An introduction to streaming telemetry. The course progresses from a brief look at the weaknesses of SNMP onto what streaming telemetry is, how it differs from the xflow technologies, the data formats available and how to configure it. What will you learn Describe streaming telemetry. Explain how streaming telemetry works. Describe the data presentation formats available. Configure streaming telemetry. Streaming telemetry training course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 1 day Streaming telemetry training course content What is streaming telemetry? SNMP weaknesses, Netflow, sflow, polling and the old models, push vs pull, What is streaming telemetry? Telemetry streaming architecture Model driven versus event driven telemetry, subscriptions, publications. Periodic versus on change, model selection and scalability. Telemetry streaming protocols TCP, UDP, SSH, HTTP, HTTP2, NETCONF, RESTCONF, gRPC, gNMI. Models and Encoding The role of YANG. YANG models and tools. XML/ NETCONF, JSON/RESTCONF, JSON over UDP. Protocol buffers/gRPC. Google Protocol Buffers Decoder ring, protocol definition file. GPB-KV, GPB-Compact. Keys. Streaming telemetry configuration Router: Destination, Sensor, subscription. Collector: YANG models, .proto file. Pipeline. ELK: Consume, store, visualise streaming data. Collection tools APIs, YANG development Kit, Downstream consumers, influxdata, Grafana, Kafka, Prometheus, others.

Definitive SRv6 course description This one day SRv6 training course is a condensed, intensive program designed to provide network professionals with a fast-track introduction to SRv6 (Segment Routing over IPv6). SRv6 is a revolutionary networking technology that combines the power of IPv6 with the flexibility of Segment Routing, enabling efficient and scalable network operations. In just one day, participants will gain essential knowledge and practical skills to understand, configure, and work with SRv6 in modern network environments. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer equipment. What will you learn Explain packet paths when implementing SLB. Explain how SRv6 works. Explain the difference between SR and SRv6. Implement SRv6. Troubleshoot SRv6. Definitive SRv6 course details Who will benefit: Network engineers, architects, and administrators who want to quickly grasp the fundamentals of SRv6 and its practical applications in their network. Prerequisites: Definitive Segment Routing for engineers Duration 1 day Definitive SRv6 course contents Introduction to SRv6 What is SRv6? Source based routing, difference between SR-MPLS and SRv6. IPv6 headers review, routing headers. SRv6 simplified solution. Hands on Enabling IPv6 in the legacy network. SRv6 transport Segment Routing Extension Header. SRv6 segment identifiers. End SID, End.X SID. ISIS distribution of SIDs. Header processing in a SRv6 topology. Locators. Hands on Configuring SRv6 transport. Analysing SRv6 operation. SRv6 services End.DT4 SID, End.DT6 SID. SRH encapsulation modes: Insert and Encap modes. SRv6 TE policy. Hands on Migrating to SRv6, TI-LFA protection. Micro loop avoidance. SRv6 integration with 'older' technologies MPLS. The role of iBGP and eBGP v6 sessions. Hands on Integration with legacy network. Troubleshooting SRv6 SRv6 ping and traceroute. Hands on: Used throughout the course during exercises.