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5 dager 33 211 kr
This Specialist-level course is targeted for storage/cloud infrastructure administrators requiring in depth knowledge and practical lab work with EMC VNX Unified Storage ... [+]
This Specialist-level course is targeted for storage/cloud infrastructure administrators requiring in depth knowledge and practical lab work with EMC VNX Unified Storage systems. This intensive training covers all the key elements of SAN/IP-SAN (block access) and NAS (file access) deployment. It provides participants with detailed discussions on integrating VNX block access for open systems hosts (Linux, Windows and VMware ESXi) through FC, iSCSI and, FCoE connectivity options. In addition, VNX file level access will be configured for Windows, Linux and VMware user/application environments via NFS and CIFS environments. Initial storage system configuration, security and availability using Unisphere are also covered. NAS configurations, including file system creation, export, permissions and quotas in Linux, VMware ESXi, and Windows environments, are explored. Lastly, the course will cover implementation of local replications solutions.The course covers a wide range of topics in detail, and includes hands-on lab exercises that reinforce the concepts covered in lectures. It is strongly recommended that only participants with the necessary prerequisite skill set attend this course. [-]
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Oslo 5 dager 24 000 kr
This five-day course explains how to implement and manage virtualization infrastructure in a software-defined datacenter by using System Center 2016 Virtual Machine Manag... [+]
The course also describes how to monitor the infrastructure by using System Center Operations Manager and protect it by using Data Protection Manager.  After completing this course, students will be able to: Explain the different virtualization options. Install and manage Hyper-V on Windows Server 2016. Install and configure System Center 2016 Virtual Machine Manager. Manage storage fabric and fabric updates. Configure and manage the Virtual Machine Manager library and library objects. Manage the networking fabric. Create and manage virtual machines by using Virtual Machine Manager. Manage clouds in Virtual Machine Manager. Manage services in Virtual Machine Manager. Monitor a virtualization infrastructure by using System Center Operations Manager. Implement and manage Hyper-V Replica and Azure Site Recovery. Protect virtualization infrastructure by using Data Protection Manager. Read complete course description with module and labs overview: MS 20745: Implementing a Software-Defined DataCenter.  [-]
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Oslo 2 dager 14 900 kr
Kubernetes' architecture brings the first real way of operating docker containers in production. [+]
Kubernetes' architecture brings the first real way of operating docker containers in production. This solution was first developed by Google, and TCP Cloud was the world's first real-world testing enterprise deployment experience. We will introduce you to this platform and also present the test results we talked about at the KubeCon 2016 conference. The training provides a detailed description of each step necessary to operate the Kubernetes environment. The training is aimed at developing skills in container virtualization to a level where the training participant will be able to install, configure, and deploy the docker environment. The training covers the architecture of best practices, workflow creation and component interaction, which is the best preparation for solving real problems encountered by experts in the Kubernetes area.   Course goals: Participants will learn, among other things: The basic differences between the Docker Compose itself and Kubernetes Understand the principles of docker virtualization Be able to install a standard docker container configuration Can start applications in the docker Understand possible ways of networking and storage solutions in containers and their comparisons Advantages of container solution for application development and testing Example of a simple application cluster  Course content: Basic principles and understanding of the Docker and Kubernetes solutions A live demonstration of a simple application cluster Possible ways of networking in containers and their comparison (Flannel, Calico, Contrail, Weave) Ways of using storage in containers or integration with CEPH Examples of use of Kubernetes within a CI / CD system (rolling update, testing, validation, automation). Kubernetes deployment and subsequent Update, Testing, Validation, and Automation Introduction Agenda Setting the LAB environment Basic Terminology and Architecture Kubernetes / Docker The basic concept of Kubernetes System architecture of Kubernetes Docker - The basic concept of a software container solution Docker Cluster Management Cluster environment Deployment of Kubernetes cluster management in software containers Kubernetes configuration Basic structure Deployment of the container solution docker The Docker Application Tool Deploy apps in the docker Network solution in Docker containers Basic information about networks in docker containers Network virtualization A network solution built on Flannel and OpenContrail Practical use - examples in the LAB Storage solutions in containers Storage integration capabilities (emptyDir, hostDir, NFS, OpenStack Cinder, Ceph) Ceph - object storage Ceph integration into a container solution Practical use - examples in the LAB [-]
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2 dager 17 000 kr
Facilitated Workshop Training [+]
About Ensemble Logical Modeling Enterprise Integration Platforms, such as the Enterprise Data Warehouse, store integrated data in a common database. The features of this common target schema typically include: a) enterprise-wide scope, b) auditable data, c) data sourced from several source systems, d) a conformed, common view of the enterprise data, e) be flexible enough to accommodate perpetual change, and also most commonly f) persisted/historized data. Modeling the Enterprise Data Model Since source systems are based on functional or departmental data models, no source systems can speak to the common model for the enterprise. For this reason, the Enterprise Data Model that determines how data will be integrated, must be based on a common model with an enterprise-wide scope. The design of this model can only come from the business (versus technical) representatives of the organization. Ensemble Logical Model (ELM) The Ensemble Logical Model is an enterprise business model that is capable of capturing the enterprise-wide, integrated, agile, business model requirements. The ELM model is created by the business representatives of the organization through interactive modeling workshops. These are facilitated Ensemble Logical Modeling sessions.   The ELM Workshop The ELM workshop is an interactive, facilitated, business-driven design session. It depends on the active participation of all attending business representatives. This is not a technical session; no computers, only people, white boards & Post-it notes involved. During the workshop, participants work together on identifying the Core Business Concepts (CBCs) of the organization and the Natural Business Relationships (NBRs) that associate the concepts. This is not a technical session; no computers, only people, white boards & Post-it notes involved The ELM workshop is a highly interactive session that depends on active participation. Allow for small groups to form and collaborate, allow for debate and discussion, allow time to contemplate, and ask business representatives to present their models. Day 1 / AM Business Data Modeling, Meaning & Semantics. Conceptual, Logical & Ensemble Modeling. Data Warehousing and the Enterprise Integration Initiatives. Business-Driven Modeling. Agility, Historization, Semantic Gap & Data Architecture. Fundamentals of Unified Decomposition, Ensemble & ELM. Core Business Concepts (CBC) & Natural Business Relationships (NBR). ELM Workshop agenda, tools & artifacts. Day 1 / PM ELM Modeling Workshop Case 1 Exercise. Complete first ELM model. Present and Discuss each Group ELM Model. Details on CBC Worksheets and NBR. Facilitator, Scribe & Note Taker roles. ELM Modeling Workshop Case 2 Exercise. Complete ELM model & first CBC Worksheets with NBR. Present and Discuss each Group ELM Model and CBC Worksheets. Day 2 / AM Ensemble Modeling of Unique, Specific, Natural Business Relationships (Unit of Work). Common NBR Design Patterns. Keyed-Instance Considerations. Abstraction/Generalization. Classifications/Categorizations. Unique Identities. Moving to Ensemble Modeling Patterns (EMP). Individual Exercises. Day 2 / PM Final ELM Modeling Workshop Case / Putting it all Together. Complete Final ELM. Present and Discuss each Group ELM Model, CBC Worksheets, NBR, and Attribution. Discuss Roles: Facilitator, Scribe & Note Taker. Final Topics and Q&A. OM CGI CGI Group Inc. ble grunnlagt i 1976 og er verdens femte største uavhengige leverandør av tjenester innen IT- og forretningsprosesser. Med 74 000 medarbeidere over hele verden, leverer CGI en portefølje av ende-til-ende løsninger innen avanserte IT- og forretningskonsulenttjenester, systemintegrasjon og utsetting av IT- og forretningsprosesser. CGIs modell med kundenærhet, et globalt leveransenettverk og egne løsninger bidrar til at kundene hurtigere oppnår resultater og bidrar til deres digitale transformasjon. CGI har en samlet årlig omsetning på over 60 milliarder NOK. CGI-aksjene er notert på TSX (GIB.A) og NYSE (GIB). Hjemmeside: [-]
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Oslo 2 dager 14 900 kr
Elasticsearch course is intended for those who want to learn how to use technology Elasticsearch to store and to retrieve large amounts of data to be easily scaled. [+]
Elasticsearch course is intended for those who want to learn how to use technology Elasticsearch to store and to retrieve large amounts of data to be easily scaled. Whether you're building a full-text search on the web for your customers to store, analyze and visualize large amounts of logs or clearly have access to all the data that are part of your business in one place for you designed just for this course. After its completion, you will understand the technology Elasticsearch and you will be able to use for your specific requirements.   The course is made up of several blocks, where each participant will understand the area and then try it immediately. At the same time for each circuit receives the material, which will make possible a given issue at any time to refresh.   Course goals: Participants also learn: Elasticsearch (2.x) How to store and search unstructured data Understand how it works full-text search, and how to create it How to handle large amounts of data and easily scale horizontally Warp Course content: Why Elasticsearch? Introduction Basic work with Elasticsearch Familiarization with basic tools CRUD Indexation, bulk operations Lab Mapping Mapping Index, type, field Data types Dynamic properties Templates indices Lab Introduction to text analysis Unstructured data Simple search relevance Lab Text analysis Text analysis Introduction to text analysis Analyzers - Text token and filters Working with Czech and other languages Synonyms Lab Data search Distributed Search Queries, Filters Query DSL Searching in multiple fields Best practices Lab Agregation Basics aggregations Calculations of data aggregation summary The most widely used aggregation in depth Best practices Lab Suggestions Replenishment words and phrases Context, phrase, term suggestors As to the "Did You namysli"? Best practices Lab Data modelling How to model relationships between objects Parent-child bond Subdocuments Best practices Lab Stored queries Percolator Warmer Lab [-]
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Bedriftsintern 3 dager 15 000 kr
Comprehensive Docker and Kubernetes training course [+]
This Docker and Kubernetes training course is designed to provide attendees with a comprehensive foundation of Docker and Kubernetes technologies. The entire core features of Kubernetes is covered including, Pods, Labels, Volumes, Replication Controllers, Services and more. The course takes attendees from installation to management and usage through a combination of lecture and hands-on lab exercises where they will gain experience configuring and managing Kubernetes objects. In addition, this course will give attendees a solid understanding of Kubernetes including advanced features and security to run safety a Kubernetes cluster in production.   Course Outline:   Day 1 · Docker and Linux container technology · Docker containers lifecycle · Working with Docker images · Network communication between containers · Persistence of data in containers · Container orchestration requirements and available options · Introduction to Kubernetes and other orchestration systems · Kubernetes core concepts: Pods, Labels, Controllers, Services, Secretes, Persistent Data Volumes, Claims, Namespaces, Quotas   Day 2 · Kubernetes reference architecture and its main components · Containers network model in Kubernetes · Service discovery, scaling and load balancing · DNS for service discovery · Ingress controller and reverse proxy · Persistence of application state and the data volume model in Kubernetes · Storage backend in Kubernetes: local, NFS, GlusterFS, Ceph · Cluster management · Deployment of applications and services on a Kubernetes cluster   Day 3 · Advanced controllers: Daemon Sets and Stateful Sets · Job and Cron jobs · Standalone pods · Storage Classes and Dynamic Storage provisioning · Network policies · Securing a Kubernetes cluster · Authentication, Authorization and Access Control · Control Plane High Availability · Auto Scaling · Cluster monitoring · Troubleshooting   More Docker courses:   [-]
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Bedriftsintern 3 dager 13 500 kr
Learn how to create and manage Docker containers, then deploy a sample application inside a container. [+]
Duration 21 hours   Prerequisites Familiarity with the Linux command line A basic understanding of virtualization concepts An understanding of networking concepts An understanding of how web applications work Audience Software Developers Architects Deployment engineers   Overview Docker is an open-source platform for automating the process of building, shipping and running applications inside containers. Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment. In this instructor-led, live training (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster. By the end of this training, participants will be able to: Set up and run a Docker container. Deploy a containerized server and web application. Build and manage Docker images. Set up a Docker and Kubernetes cluster. Use Kubernetes to deploy and manage a clustered web application. Secure, scale and monitor a Kubernetes cluster. Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Note: Apache Tomcat and a Java EE application will be used as our demo servers and applications for containerization. However, *these are subject to change*. If you would like to see a specific application or related tool or technique covered in this training, please contact us to arrange.   Course Outline Day 1 Introduction Containers vs virtual machines Speed and performance Overview of Docker architecture Docker and the Linux kernel Docker components (Docker client, Docker daemon, images, registry, containers) Using Docker to run and manage containers Images, containers, volumes, networks Brief overview of container orchestration Installing Docker Pulling an image from the internet Sample: Apache Tomcat Running the container Docker registries Public vs private Creating and managing Dockerfiles Building a Docker image Deploying a web application Sample application: Java EE application server How Docker containers communicate with each other Configuring volumes and networks in Docker Linking and state Day 2 Deep dive into container orchestration with Kubernetes Overview of Kubernetes architecture Pods, labels/selectors, replication controllers, services, API Installing a Kubernetes cluster Creating Kubernetes pods, volumes and deployments Grouping and organizing your cluster Discovering and publishing services Discovering and connecting to containers Deploying a web application Handling application components Handling Database connections Kubernetes security Authentication & authorization Advanced networking Docker networking vs Kubernetes networking Monitoring Kubernetes Cluster logging with Elasticsearch and fluentd Container level monitoring (cAdvisor UI, Influxdb, Prometheus) Day 3 Scaling your Kubernetes cluster Infrastructure for Kubernetes Provisioning, partitioning, networking Building a high-availability cluster Load balancing and service discovery Deploying a scalable application Horizontal pod autoscaling Database clustering in Kubernetes Updating your application Releases in Kubernetes Troubleshooting Closing remarks [-]
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Oslo 2 dager 14 900 kr
You will learn how to properly "dockerize" applications to make them robust and stable. [+]
The course is designed for anyone who wants to learn how to run the Docker in an extensive application infrastructure, both within your company, and from outside vendors. You will learn how to properly "dockerize" applications to make them robust and stable. Gradually, we go through the whole process from installing the Docker Server, through the creation of a dockerized version of the application, to deployment on the production infrastructure. And all this while adhering to best practices for creating and running such applications. On practical examples, we will try out all of the advanced techniques that Docker and its ecosystem offer. Thanks to the extensive practical experience of the lecturers, we will also focus on the most common problems and mistakes most commonly made by Docker users.   Course goals: Course participants will learn: Create your own Docker Images Advanced techniques of building images (multi-stage, on-build) How to Prepare Docker Image for Production Deployment Understand how the Docker works, including the detection of potential problems Operation of the production docker infrastructure Course content: Advanced operations with Docker Create your own instance using the Docker Machine Writing your own Dockerfile (best practices, multi-stage build) Working with Docker Image Docker Compose Practical practice of the subject matter Docker Images for Production Deployment Images (safety, labeling, dumb-init) Image Registry (hosted, on-premise) Continous Integration, Continuous Delivery Practical practice of the subject matter Docker in production deployment Security practices Volumes / Storages Networking Logging Running, Running and Orchestration of Docker Applications in Production Deployment (Docker Swarm, Kubernetes, Openshift) Application monitoring Operating systems for Docker operation Practical practice of the subject matter [-]
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5 dager 19 927 kr
The System Administration course provides the knowledge and skills needed for configuring and maintaining Data Domain systems. The course provides hands-on learning abou... [+]
The System Administration course provides the knowledge and skills needed for configuring and maintaining Data Domain systems. The course provides hands-on learning about: Data Domain system concepts, configuring and integrating systems into an existingenvironment, upgrading systems, connecting to the network and interoperating with backup software solutions, performing data backups, replicating data to offsite locations, restoring data, and recovering from a disaster. [-]
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Bedriftsintern 3 dager 15 900 kr
Basic usage of Docker with a lot of hands-on exercises. Useful for both developers and system administrators. [+]
Duration 21 hours   Prerequisites Some familiarity with command line and Linux is an advantage.   Overview Docker is a platform for developers and sysadmins to maintain distributed applications. It consists of a runtime to run containers and a service for sharing containers. With Docker the same app can run unchanged on laptops, dedicated servers and virtual servers. This course, during the two first days, teaches the basic usage of Docker, useful both for developers and system administrators. The course includes a lot of hands-on exercises and the participants will practice in their own Docker environment and build their own Docker images. On the last day, participants will learn about more advanced tools that support Docker. It will be Docker Machine, Docker Compose and Docker Swarm.   Course Outline What is Docker? Use cases Major components of Docker Docker architecture Underlying technology Installation of Docker Installation on Ubuntu and Windows Using Docker Machine for host provisioning Docker Machine drivers for cloud providers Container life cycle Creating and running containers Stopping and restarting Investigating a container Viewing the logs Looking at processes Removing a container and its data Dockerizing applications The hello world example Interactive Bash container Building an image by committing changes Building an image from a Dockerfile Automated builds based on GitHub Running more than one process in a container gosu helper tool Running a webapp in a single container Running a webapp in microservices architecture Managing images Finding and downloading existing images Docker Hub and local repository Sharing images with others Deploying a private image repository Networking of containers Port mapping Container linking and naming Creating and managing custom networks Network over many Docker hosts (overlay) Data in containers Data volumes Host directories and files as data volume Data volume containers Data volumes shared between Docker Hosts Backup and restore of data volumes Docker Compose Overview of Docker Compose Running multi-container applications by using one command Defining services, networks, volumes and variables Setting up runtime constraints on resources Docker Swarm Introduction to native Docker clustering Discovery services Docker Swarm strategies and filters [-]
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