Docker and Kubernetes Certification Training
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Learners : 1080
Duration : 30 Days
About Course
Our Docker and Kubernetes platform Gain an in-depth understanding of user interface and navigation, users and tasks, and data administration. Further, You will understand Kubernetes architecture components, like nodes, pods, labels, and Annotations. You will also learn to deploy apps on clusters and further expose these apps outside the cluster i.e deploy Kubernetes Cluster on a Cloud server etc. With Cloud labs, practice populating and protecting the database, creating knowledge bases and service catalogs. Learn how to implement workflow activities and approval structure, business rules, and client scripts. Enroll now and get certified in it.
Docker and Kubernetes Training Course Syllabus
✔ Docker Architecture
✔ Images and layers
✔ Underlying technology of DockerNamespaces, groups, etc.,
✔ Docker CE Vs Docker EE and supported platforms
✔ Pulling images from Docker registry
✔ The Docker Hub
✔ Docker Engine Installation on Linux Servers (CentOS/Ubuntu)
✔ Docker commands
✔ Images, ps, pull, push, run, create, commit, attach, exec, cp, rm, RMI,
Login, export, import, pause, unpause, system, volumes, build, rename,
Save, tag, network, logs, port, search, history
✔ Container volume management
✔ Creating custom network (bridge)
✔ Building custom images using Dockerfile and through container and pushing to the Docker hub
✔ Creating containers with limited resources (CPU, memory, etc.,)
✔ Building apache with MySQL database storage using Dockerfile
✔ Assigning/removing multiple networks to the running container.
✔ Selecting storage driver for the Docker Engine
✔ Setting limits on the resource like CPU, memory for running container
✔ Difference between Docker Swarm and Kubernetes Orchestration
✔ Kubernetes overview
✔ Kubernetes Architecture
✔ Designing a Kubernetes cluster (1 Master, 2Worker)
✔ Building multiple Container In same pod
✔ Replication Controller
✔ ReplicaSet
✔ Deployment
✔ Rolling updates of the Pods with the Deployment
✔ service (ClusterIP, NodePort, and LoadBalancer)
✔ Taint and Tolerations
✔ Pod affinity and Antiaffinity
✔ Node affinity and Antiaffinity
✔ POD Autoscaling
✔ Rolling Updates
✔ POD CPU and Memory reservation
✔ Etcd cluster backup
✔ Service Discovery using DNS
✔ Config Map
✔ Secrets
✔ Volumes and Volumes Auto/Dynamic provisioning(AWS)
✔ DaemonSets
✔ Resource Usage Monitoring
✔ Autoscaling
✔ Kubernetes Setup.
✔ Introduction to Kops (AWS).
✔ Running first app on Kubernetes.
✔ Scenario with working example
✔ The Kubernetes Master Services
✔ Resource Quotas
✔ Namespaces
✔ User Management
✔ Node Maintenance
Live Instructor Based Training With Software |
Lifetime access and 24×7 support |
Certification Oriented content |
Hands-On complete Real-time training |
Get a certificate on course completion |
Flexible Schedules |
Live Recorded Videos Access |
Study Material Provided |
Docker and Kubernetes Training - Upcoming Batches
7th NOV 2022
8 AM IST
Coming Soon
AM IST
5th NOV 2022
8 AM IST
Coming Soon
AM IST
Don't find suitable time ?
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Live Virtual Training
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Schedule your sessions at your comfortable timings.
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Instructor-led training, Real-time projects
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Certification Guidance.
Self-Paced Learning
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Complete set of live-online training sessions recorded videos.
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Learn technology at your own pace.
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Get access for lifetime.
Corporate Training
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Learn As A Full Day Schedule With Discussions, Exercises,
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Practical Use Cases
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Design Your Own Syllabus Based
Docker and Kubernetes Training FAQ'S
Docker is an open-source platform used to handle software development. It is mainly used to package the settings and dependencies that the software/application needs to run into a container, which allows for portability and several other advantages. On the other hand, Kubernetes is used to allow the manual linking and orchestration of several containers, running on multiple hosts that have been created using Docker.
Docker and Kubernetes
In Kubernetes, a node is the smallest unit of hardware. It is used to define a single machine in a cluster that can act as a virtual machine from a cloud provider or physical machine in the data center. Every machine of the Kubernetes cluster can act as a substitute for other machines.
A Kube-scheduler is the default scheduler for Kubernetes. It is used to assign nodes to newly created pods.
Daemon sets are sets of pods that run on a host and are used for host layers attributes like monitoring network or simple network.
Get ahead in your career by learning Docker and Kubernates through VISWA Online Trainings
A Heapster is a metrics collection and performance monitoring system for data collected by the Kublet.