11 Docker courses in Edinburgh

DOCKER FOR ENGINEERS TRAINING COURSE DESCRIPTION Docker is the container platform of choice. This course covers how to use Docker to package your applications with all of their dependencies and then test, deploy, scale and support your containers. Hands on sessions follow all the major sessions. WHAT WILL YOU LEARN * Work with Docker images, containers and command line tools. * Deploy and test Docker containers. * Debug Docker containers. * Describe Docker networking, deployment tools, orchestration and security. DOCKER FOR ENGINEERS TRAINING COURSE DETAILS * Who will benefit: Anyone working with Docker. * Prerequisites: Introduction to virtualization. * Duration 2 days DOCKER FOR ENGINEERS TRAINING COURSE CONTENTS * Introduction The birth of Docker, the promise of Docker, what Docker isn't. * Docker at a glance Process simplification, broad support and adoption, architecture, getting the most from Docker, the Docker workflow. * Installing Docker Important terminology, Docker client, Docker server, test the setup. * Working with Docker images Anatomy of a Dockerfile, building an image, running your image, custom base images, storing images. * Working with Docker containers What are containers? creating a container, starting a container, auto-restarting a container, stopping a container, killing a container, pausing and unpausing a container, cleaning up containers and images, next steps. * Exploring Docker Printing the Docker version, server information, downloading image updates, inspecting a container, getting inside a running container, exploring the shell, returning a result, docker logs, monitoring Docker, exploration. * The path to production containers Deploying, testing containers. * Debugging containers Process output, process inspection, controlling processes, network inspection, image history, inspecting a container, filesystem inspection, moving along. * Docker at scale Docker swarm, centurion, amazon EC2 container service. * Advanced topics Pluggable backends, containers in detail, security, networking. * Designing your production container platform The twelve-factor app, the reactive manifesto. * Conclusion The challenges, the Docker workflow, minimizing deployment artifacts, optimizing storage and retrieval, the payoff, the final word.

INTRO TO CONTAINERS TRAINING COURSE DESCRIPTION This course looks at the technologies of containers and microservices. The course starts with a look at what containers are, moving onto working with containers. Networking containers and container orchestration is then studied. The course finishes with monitoring containers with Prometheus and other systems. Hands on sessions are used to reinforce the theory rather than teach specific products, although Docker and Kubernetes are used. WHAT WILL YOU LEARN * Use containers. * Build containers. * Orchestrate containers. * Evaluate container technologies. INTRO TO CONTAINERS TRAINING COURSE DETAILS * Who will benefit: Those wishing to work with containers. * Prerequisites: Introduction to virtualization. * Duration 2 days INTRO TO CONTAINERS TRAINING COURSE CONTENTS * What are containers? Virtualization, VMs, What are containers? What are microservices? Machine containers, application containers. Benefits. * Container runtime tools Docker, LXC, Windows containers. Architecture, components. Hands on Installing Docker client and server. * Working with containers Docker workflow, Docker images, Docker containers, Dockerfile, Building, running, storing images. Creating containers. Starting, stopping and controlling containers. Public repositories, private registries. Hands on Exploring containers. * Microservices What are microservices? Modular architecture, IPC. Hands on Persistence and containers. * Networking containers Linking, no networking, host, bridge. The container Network Interface. Hands on Container networking * Container orchestration engines Docker swarm: Nodes, services, tasks. Apache Mesos: Mesos master, agents, frameworks. Kubernetes: Kubectl, master node, worker nodes. Openstack: Architecture, containers in OpenStack. Amazon ECS: Architecture, how it works. Hands on Setup and access a Kubernetes cluster. * Managing containers Monitoring, logging, collecting metrics, cluster monitoring tools: Heapster. Hands on Using Prometheus with Kubernetes.

KUBERNETES FOR ENGINEERS TRAINING COURSE DESCRIPTION This course covers how Kubernetes addresses the challenges of distributed systems. Hands on sessions follow all the major theory chapters. WHAT WILL YOU LEARN * Explain what Kubernetes is and how it works. * Create and run containers on Kubernetes using the Docker image format and container runtime. KUBERNETES FOR ENGINEERS TRAINING COURSE DETAILS * Who will benefit: Anyone working with Docker or Kubernetes. * Prerequisites: Definitive Docker for engineers. * Duration 2 days KUBERNETES FOR ENGINEERS TRAINING COURSE CONTENTS * Introduction Velocity, Scaling your service and your teams, Abstracting your infrastructure. * Creating and running containers Container images, Building application images with Docker, Storing images in a remote registry, The Docker container runtime. * Deploying a Kubernetes cluster Installing Kubernetes on a public cloud provider, Installing Kubernetes locally using minikube, Running Kubernetes on Raspberry Pi, The Kubernetes client, Cluster components. * Common kubectl Commands Namespaces, Contexts, Viewing Kubernetes API objects, Creating, Updating, and Destroying Kubernetes objects, Labelling and annotating objects, Debugging commands. * Pods Pods in Kubernetes, Thinking with pods, The pod manifest, Running pods, Accessing your pod, Health checks, Resource management, Persisting data with volumes, Putting It all together. * Labels and Annotations Labels, Annotations. * Service Discovery What Is Service discovery? The service object, Looking beyond the cluster, Cloud integration, Advanced details. * ReplicaSets Reconciliation loops, Relating pods and ReplicaSets, Designing with ReplicaSets, ReplicaSet Spec, Creating a ReplicaSet, Inspecting a ReplicaSet, Scaling ReplicaSets, Deleting ReplicaSets. * DaemonSets DaemonSet scheduler, Creating DaemonSets, Limiting DaemonSets to specific nodes, Updating a DaemonSet, Deleting a DaemonSet. * Jobs The job object, Job patterns. * ConfigMaps and secrets ConfigMaps, Secrets, Naming constraints, Managing ConfigMaps and secrets. * Deployments Your first deployment, Creating deployments, Managing deployments, Updating deployments, Deployment strategies, Deleting a deployment. * Integrating storage solutions and Kubernetes Importing external services, Running reliable singletons, Kubernetes-native storage with StatefulSets. * Deploying real-world applications Parse, Ghost, Redis.

OPENSTACK FOR NFV AND SDN COURSE DESCRIPTION OpenStack is predominately a cloud management technology. This course looks at how OpenStack can be used in a NFV and SDN environment. WHAT WILL YOU LEARN * Describe the architecture of NFV. * Explain the relationship between NFV and SDN. * Implement NFV VIM using OpenStack. * Explain how OpenStack as VNFM and orchestrator works. OPENSTACK FOR NFV AND SDN COURSE DETAILS * Who will benefit: Anyone wishing to implement NFV using OpenStack. * Prerequisites: Introduction to Virtualization * Duration 3 day OPENSTACK FOR NFV AND SDN COURSE CONTENT * What is NFV? * What is NFV? What are network Functions? NFV benefits, NFV market drivers. ETSI NFV framework. ETSI documents, Architecture overview, compute domain, hypervisor domain, infrastructure network domain. * What is OpenStack? Virtual machines, clouds, management. OpenStack architecture, OpenStack modules. Why OpenStack for NFV? Hands on OpenStack installation. * OpenStack Virtualization and NFV Server, storage and network virtualization and NFV. Where OpenStack fits in the ETSI framework. Virtual machines, containers and docker. Data centres, clouds, SaaS, IaaS, PaaS. Hands on OpenStack Iaas, OpenStack Nova. * The virtualization layer VM centric model, containers versus hypervisors, FD.io. Hands on OpenStack as the VIM. * OpenStack Neutron VXLAN, Networks, subnets, ports. Security groups. Routers. Service and component hierarchy. Hands on Implementing a virtual network with OpenStack Neutron. Virtualization of Network Functions Network virtualization versus Network Function virtualization. * NFV MANO Management and Orchestration. Where OpenStack fits. MANO descriptors, Open orchestration. OpenStack Tacker, Open MANO, OpenBaton, other orchestrators. * OpenStack Tacker Installation, getting started, configuration. SFC and OpenStack. Hands on Deploying a VNF. * OPNFV What is OPNFV, Where OpenStack fits into OPNFV. * SDN What is SDN? Control and data planes. SDN controllers. Classic SDN versus real SDN. Hybrid SDN, network automation, SDN with overlays. Northbound, southbound, SDN protocols, OpenFlow, OpenDaylight, ONOS, SDN with NFV. SDN and OpenStack. * Summary Deploying NFV, performance, testing. Futures

NFV TRAINING COURSE DESCRIPTION Network Functions Virtualization (NFV) brings many benefits, this training course cuts through the hype and looks at the technology, architecture and products available for NFV. WHAT WILL YOU LEARN * Explain how NFV works. * Describe the architecture of NFV. * Explain the relationship between NFV and SDN. * Recognise the impact NFV will have on existing networks. NFV TRAINING COURSE DETAILS * Who will benefit: Anyone wishing to know more about NFV. * Prerequisites: Introduction to Virtualization. * Duration 2 days NFV TRAINING COURSE CONTENT * Introduction What is NfV? What are network Functions? NfV benefits, NfV market drivers. ETSI NfV framework. * Virtualization review Server, storage and network virtualization and NfV. Virtual machines, containers and docker. Data centres, clouds, SaaS, IaaS, PaaS. * Virtualization of Network Functions Network virtualization versus Network Function virtualization. * ETSI NfV architecture ETSI documents, Architecture overview, compute domain, hypervisor domain, infrastructure network domain. * IETF and NfV Creating services, Service Functions, Service Function Chaining. SPRING and source packet routing. YANG and NetConf. RESTCONF. VLANs, VPNs, VXLAN. * MANO Management and Orchestration. OpenStack, OpenDaylight PaaS and NfV. The VNF domain. Service graphs, MANO descriptors, Open orchestration. * The virtualization layer VM centric model, containers versus hypervisors, FD.io. * Summary Deploying NfV, performance, testing. Futures.

UNIX VIRTUALIZATION AND HIGH AVAILABILITY COURSE DESCRIPTION This course covers administering UNIX enterprise-wide with an emphasis on virtualization and high availability. WHAT WILL YOU LEARN * Manage Virtual Machines. * Manage containers. * Manage HA clusters. * Manage HA cluster storage. UNIX VIRTUALIZATION AND HIGH AVAILABILITY COURSE DETAILS * Who will benefit: Enterprise-level UNIX professional. UNIX professionals working with virtualization and/or High availability. * Prerequisites: Linux network administration 2 (LPIC-2) * Duration 5 days UNIX VIRTUALIZATION AND HIGH AVAILABILITY COURSE CONTENTS * VIRTUALIZATION * Virtualization concepts and theory Terminology, Pros and Cons of virtualization, variations of Virtual Machine monitors, migration of physical to VMs, migration of VMs between host systems, cloud computing. * Xen Xen architecture, networking and storage, Xen configuration, Xen utilities, troubleshooting Xen installations, XAPI, XenStore, Xen Boot Parameters, the xm utility. * KVM KVM architecture, networking and storage, KVM configuration, KVM utilities, troubleshooting KVM installations. * Other virtualization solutions OpenVZ and LXC, other virtualization technologies, virtualization provisioning tools. * Libvirt and Related Tools libvirt architecture, networking and storage, basic technical knowledge of libvirt and virsh, oVirt. * Cloud Management Tools Basic feature knowledge of OpenStack and CloudStack, awareness of Eucalyptus and OpenNebula. * Containers Containers versus VMs, Docker, Kubernetes. * Load balanced clusters of LVS/IPVS, VRRP, configuration of keepalived, configuration of ldirectord, backend server network configuration. HAProxy, configuration of HAProxy. * Failover clusters Pacemaker architecture and components (CIB, CRMd, PEngine, LRMd, DC, STONITHd), Pacemaker cluster configuration, Resource classes (OCF, LSB, Systemd, Upstart, Service, STONITH, Nagios), Resource rules and constraints (location, order, colocation), Advanced resource features (templates, groups, clone resources, multi-state resources), Pacemaker management using pcs, Pacemaker management using crmsh, configuration and management of corosync in conjunction with Pacemaker, other cluster engines (OpenAIS, Heartbeat, CMAN). * HIGH AVAILABILITY CLUSTER STORAGE * DRBD/cLVM DRBD resources, states and replication modes, configuration of DRBD resources, networking, disks and devices, configuration of DRBD automatic recovery and error handling, management of DRBD using drbdadm. drbdsetup and drbdmeta, Integration of DRBD with Pacemaker, cLVM, integration of cLVM with Pacemaker. * Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.

LINUX VIRTUALIZATION AND HA TRAINING COURSE DESCRIPTION The LPIC-3 certification is the culmination of LPI's multi -level professional certification program. LPIC-3 is designed for the enterprise-level Linux professional and represents the highest level of professional, distribution neutral Linux certification within the industry. LPIC-3 304 covers administering Linux enterprise-wide with an emphasis on virtualization and high availability. At SNT we have enhanced the contents of the course by covering containers. WHAT WILL YOU LEARN * Manage Virtual Machines. * Manage containers. * Manage HA clusters. * Manage HA cluster storage. LINUX VIRTUALIZATION AND HA TRAINING COURSE DETAILS * Who will benefit: Linux professionals working with virtualization and/or High availability. * Prerequisites: Linux network administration 2 (LPIC-2) * Duration 5 days LINUX VIRTUALIZATION AND HA TRAINING COURSE CONTENTS * VIRTUALIZATION * Virtualization concepts and theory Terminology, Pros and Cons of virtualization, variations of Virtual Machine monitors, migration of physical to VMs, migration of VMs between host systems, cloud computing. * Xen Xen architecture, networking and storage, Xen configuration, Xen utilities, troubleshooting Xen installations, XAPI, XenStore, Xen Boot Parameters, the xm utility. * KVM KVM architecture, networking and storage, KVM configuration, KVM utilities, troubleshooting KVM installations. * Other virtualization solutions OpenVZ and LXC, other virtualization technologies, virtualization provisioning tools. * Libvirt and Related Tools libvirt architecture, networking and storage, basic technical knowledge of libvirt and virsh, oVirt. * Cloud Management Tools Basic feature knowledge of OpenStack and CloudStack, awareness of Eucalyptus and OpenNebula. * Containers Containers versus VMs, Docker, Kubernetes. * Load balanced clusters of LVS/IPVS, VRRP, configuration of keepalived, configuration of ldirectord, backend server network configuration. HAProxy, configuration of HAProxy. * Failover clusters Pacemaker architecture and components (CIB, CRMd, PEngine, LRMd, DC, STONITHd), Pacemaker cluster configuration, Resource classes (OCF, LSB, Systemd, Upstart, Service, STONITH, Nagios), Resource rules and constraints (location, order, colocation), Advanced resource features (templates, groups, clone resources, multi-state resources), Pacemaker management using pcs, Pacemaker management using crmsh, configuration and management of corosync in conjunction with Pacemaker, other cluster engines (OpenAIS, Heartbeat, CMAN). * HIGH AVAILABILITY CLUSTER STORAGE * DRBD/cLVM DRBD resources, states and replication modes, configuration of DRBD resources, networking, disks and devices, configuration of DRBD automatic recovery and error handling, management of DRBD using drbdadm. drbdsetup and drbdmeta, Integration of DRBD with Pacemaker, cLVM, integration of cLVM with Pacemaker. * Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.

SECURING KUBERNETES TRAINING COURSE DESCRIPTION This course introduces concepts, procedures, and best practices to harden Kubernetes based systems and container-based applications against security threats. It deals with the main areas of cloud-native security: Kubernetes cluster setup, Kubernetes cluster hardening, hardening the underlying operating system and networks, minimizing microservices vulnerabilities, obtaining supply chain security as well as monitoring, logging, and runtime security. WHAT WILL YOU LEARN * Harden Kubernetes systems and clusters. * Harden containers. * Configure and use Kubernetes audit logs. SECURING KUBERNETES TRAINING COURSE DETAILS * Who will benefit: Technical staff working with Kubernetes * Prerequisites: Kubernetes_for_engineers_course.htm Definitive Docker for engineers * Duration 2 days SECURING KUBERNETES TRAINING COURSE CONTENTS This course does not only deal with the daily security administration of Kubernetes-based systems but also prepares delegates for the official Certified Kubernetes Security Specialist (CKS) exams of the Cloud Native Computing Foundation (CNCF). Structure: 50% theory 50% hands on lab exercise MODULE 1: USER AND AUTHORIZATION MANAGEMENT * Users and service accounts in Kubernetes * Authenticating users * Managing authorizations with RBAC MODULE 2: SUPPLY CHAIN SECURITY * Vulnerabilit checking for images * Image validation in Kubernetes * Reducing image footprint * Secure image registries MODULE 3: VALIDATING CLUSTER SETUP AND PENETRATION TESTING * Use CIS benchmark to review the security configuration of Kubernetes components. * Modify the cluster components' configuration to match the CIS Benchmark. * Penetration testing Kubernetes for known vulnerabilities. MODULE 4: SYSTEM HARDENING * Use kernel hardening tools * Setup appropriate OS level security domains * Container runtime sandboxes * Limit network access MODULE 5: MONITORING AND LOGGING * Configure Kubernetes audit logs * Configure Audit Policies * Monitor applications behaviour with Falco

NETWORK VIRTUALIZATION TRAINING COURSE DESCRIPTION This course covers network virtualization. It has been designed to enable network engineers to recognise and handle the requirements of networking Virtual Machines. Both internal and external network virtualization is covered along with the technologies used to map overlay networks on to the physical infrastructure. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer implementations. WHAT WILL YOU LEARN * Evaluate network virtualization implementations and technologies. * Connect Virtual Machines with virtual switches. * Explain how overlay networks operate. * Describe the technologies in overlay networks. NETWORK VIRTUALIZATION TRAINING COURSE DETAILS * Who will benefit: Engineers networking virtual machines. * Prerequisites: Introduction to virtualization. * Duration 2 days NETWORK VIRTUALIZATION TRAINING COURSE CONTENTS * Virtualization review Hypervisors, VMs, containers, migration issues, Data Centre network design. TOR and spine switches. VM IP addressing and MAC addresses. Hands on VM network configuration * Network virtualization What is network virtualization, internal virtual networks, external virtual networks. Wireless network virtualization: spectrum, infrastructure, air interface. Implementations: Open vSwitch, NSX, Cisco, others. Hands on VM communication over the network. * Single host network virtualization NICs, vNICs, resource allocation, vSwitches, tables, packet walks. vRouters. Hands on vSwitch configuration, MAC and ARP tables. * Container networks Single host, network modes: Bridge, host, container, none. Hands on Docker networking. * Multi host network virtualization Access control, path isolation, controllers, overlay networks. L2 extensions. NSX manager. OpenStack neutron. Packet walks. Distributed logical firewalls. Load balancing. Hands on Creating, configuring and using a distributed vSwitch. * Mapping virtual to physical networks VXLAN, VTEP, VXLAN encapsulation, controllers, multicasts and VXLAN. VRF lite, GRE, MPLS VPN, 802.1x. Hands on VXLAN configuration. * Orchestration vCenter, vagrant, OpenStack, Kubernetes, scheduling, service discovery, load balancing, plugins, CNI, Kubernetes architecture. Hands on Kubernetes networking. * Summary Performance, NFV, automation. Monitoring in virtual networks.

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.