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DevOps & AWS Training
Flair Technologies is Globally Recognised as the Industry Leader in training Cloud Architects. Our highly experienced Cloud Professionals are recognised in the industry to have the highest-rated technical skills by employers. We Train and Develop highly competent Cloud Architects, Developers, Engineers, and most of them go on to work on large scale enterprise projects and command the highest salaries in the industry.
Why Chose Flair Technologies for DevOps & AWS Training ?
DEVOPS & AWS
About DevOps:
AWS DevOps is a technology used to automate and streamline software development processes in the cloud environment. It combines development (Dev) and operations (Ops) principles to enable faster software delivery, improved collaboration, and enhanced scalability. Major vendors in this space include Amazon Web Services (AWS) itself, which offers a comprehensive suite of DevOps tools and services, as well as third-party providers like Microsoft Azure and Google Cloud Platform.
DevOps & AWS Course Outline:
Module 1: Introduction to DevOps & AWS
- Understanding DevOps principles and its importance.
- Overview of AWS services and their role in DevOps.
Module 2: Linux Fundamentals & Networking
- Introduction to Linux operating system.
- Basic Linux commands and file system navigation.
- Networking concepts: IP addressing, DNS, DHCP, etc.
- Managing Linux networking configurations.
Module 3: Shell Scripting
- Introduction to shell scripting.
- Writing and executing shell scripts.
- Scripting for automation and task scheduling.
Module 4: AWS Services Overview
- Amazon EC2: Creating and managing instances.
- Amazon S3: Object storage and bucket management.
- Amazon RDS: Managed relational databases.
- Amazon Route 53: DNS management.
- Amazon AMI and Snapshot: Creating and managing images.
- AWS Identity and Access Management (IAM): Users, groups, policies.
- Amazon SQS and SNS: Messaging and notification services.
- Autoscaling: Scaling instances based on demand.
- AWS Lambda: Serverless compute service.
- Basic Python for AWS Lambda functions.
Module 5: AWS CLI and Infrastructure as Code with Terraform
- Using AWS CLI to manage resources.
- Introduction to Infrastructure as Code (IaC).
- Terraform fundamentals and installation.
- Creating and managing AWS resources using Terraform.
Module 6: Continuous Integration and Continuous Deployment (CI/CD)
- Introduction to CI/CD principles.
- Version control with Git: Repositories, branches, commits.
- Building projects with Maven.
- Jenkins: Installation, configuration & job setup.
- Building CI/CD pipelines for application deployment.
Module 7: Automation with Ansible
- Introduction to Ansible for automation.
- Writing Ansible playbooks: Tasks, modules & variables.
- Managing configurations with Ansible roles.
- Automating infrastructure provisioning and application deployment.
Module 8: Containerization with Docker
- Understanding containerization concepts.
- Docker basics: Images, containers, Dockerfile.
- Building and running Docker containers.
- Docker Compose for multi-container applications.
Module 9: Kubernetes and Container Orchestration (Optional)
- Introduction to Kubernetes and container orchestration.
- Kubernetes architecture: Nodes, pods, services, deployments.
- Deploying and managing applications on Kubernetes clusters.
Module 10: Course Project and Hands-On Labs
- Putting it all together: Building a DevOps pipeline on AWS.
- Real-world scenarios and hands-on labs for each module.
- Troubleshooting common issues in DevOps practices.
Module 11: Best Practices and Advanced Topics
- Security best practices in AWS DevOps.
- Performance optimization strategies.
- Monitoring and logging for AWS applications.
- Advanced AWS services for specialized use cases.
Module 12: Final Assessment and Certification
- Course recap and review.
- Final assessment to evaluate knowledge and skills.
- Certification for completing the AWS DevOps course.
Here's a more detailed breakdown of the content for Module 9: Kubernetes & Container Orchestration:
Unit 1: Introduction to Kubernetes and Container Orchestration
- Understanding the need for container orchestration.
- Introduction to Kubernetes: History and purpose.
- Key Kubernetes concepts: Nodes, pods, services, deployments, namespaces, etc.
- Advantages of using Kubernetes for application deployment and management.
Unit 2: Setting Up Kubernetes Cluster
- Different ways to deploy Kubernetes: Self-hosted, managed services (EKS, GKE, AKS).
- Installing and configuring Kubernetes using kubeadm (on-premises cluster).
- Introduction to managed Kubernetes services: AWS Elastic Kubernetes Service (EKS).
- Creating and managing Kubernetes clusters on AWS EKS.
Unit 3: Kubernetes Architecture and Components
- Understanding the architecture of a Kubernetes cluster.
- Master node components: API server, controller manager, etcd, scheduler.
- Worker node components: Kubelet, Kube Proxy, container runtime (Docker, containerd).
- Networking in Kubernetes: Pods, services, ingress controllers.
Unit 4: Deploying Applications on Kubernetes
- Creating and managing pods: Pod specifications, multi-container pods.
- Deployments: Managing replica sets, rolling updates, and rollbacks.
- Services: Exposing applications within the cluster and externally.
- ConfigMaps and Secrets: Managing configuration data and sensitive information.
Unit 5: Scaling and Load Balancing
- Horizontal Pod Autoscaling (HPA): Automatically adjusting the number of pods.
- Cluster scaling: Adding and removing nodes based on demand.
- Load balancing within the cluster: Service types and load balancer controllers.
Unit 6: Persistent Storage and Volumes
- Understanding Kubernetes volumes and persistent storage options.
- Configuring Persistent Volume (PV) and Persistent Volume Claim (PVC).
- StatefulSets: Managing stateful applications with ordered scaling and network identity.
Unit 7: Managing Application Configuration
- Introduction to ConfigMap and Secret resources.
- Managing application configurations using ConfigMaps.
- Storing sensitive information using Kubernetes Secrets.
Unit 8: Monitoring, Logging, and Troubleshooting
- Monitoring Kubernetes applications using built-in tools and Prometheus.
- Centralized logging with Fluentd and Elasticsearch.
- Troubleshooting common issues: Pod failures, network problems, resource constraints.
Unit 9: Managing Application Updates and Rollbacks
- Strategies for updating applications: Blue-Green deployments, Canary deployments.
- Performing application updates with zero downtime.
- Rolling back deployments in case of issues.
Unit 10: Security and RBAC (Role-Based Access Control)
- Introduction to Kubernetes security best practices.
- Implementing RBAC to control access to Kubernetes resources.
- Network policies: Controlling communication between pods and namespaces.
Unit 11: Advanced Kubernetes Concepts (Optional)
- DaemonSets: Running a single pod on each node.
- CronJobs: Scheduling periodic tasks in Kubernetes.
- Custom Resource Definitions (CRDs): Extending Kubernetes with custom resources.
- Helm: Package manager for Kubernetes applications.
Unit 12: Multi-Cluster and Hybrid Deployments (Optional)
- Managing multiple Kubernetes clusters.
- Federation: Federating multiple clusters for centralized management.
- Hybrid cloud deployments: Bridging on-premises and cloud Kubernetes clusters.
Unit 13: Kubernetes Best Practices and Future Trends (Optional)
- Best practices for optimizing Kubernetes resources and performance.
- Kubernetes ecosystem trends and emerging technologies.
- Exploring serverless concepts with Kubernetes (Knative).
Remember that this is a detailed outline and can be adjusted based on the duration of the course, the depth of coverage desired for each topic, and the level of expertise of the participants. Additionally, as technology evolves, new tools and practices might emerge, so it’s essential to keep the course content up-to-date to reflect the latest trends and best practices.
Can You Get a Job with a Certification ?
AWS DevOps training and certification courses provide individuals with the knowledge and skills to effectively implement DevOps practices on the AWS platform. These courses cover various topics such as continuous integration, continuous delivery, infrastructure as code, monitoring, and deployment automation. They help professionals gain expertise in using AWS services and tools to build scalable and reliable applications. Today, there is a massive demand for AWS certified professionals globally. With that in mind, Koenig’s carefully crafted Amazon AWS certification training across various levels will help participants to gain a comprehensive understanding of AWS skills with interactive instructor-led course delivery.
What you will Learn in DevOps Course ?
AWS DevOps is a technology used to automate and streamline software development processes in the cloud environment. It combines development (Dev) and operations (Ops) principles to enable faster software delivery, improved collaboration, and enhanced scalability. Major vendors in this space include Amazon Web Services (AWS) itself, which offers a comprehensive suite of DevOps tools and services, as well as third-party providers like Microsoft Azure and Google Cloud Platform. AWS DevOps training and certification courses provide individuals with the knowledge and skills to effectively implement DevOps practices on the AWS platform.
Who can Take this Course ?
Choose The Best
College Students those are interested to pursue their career as a DevOps Engineer can take this program. This Program will help you get hired with attractive salary package after completing your college. This is the right time for you to utilize & learn as many skills that will help you in hiring as well as to get attractive salary.
This program will help you switch from your current domain to a DevOps & AWS. We had seen a huge number of working professional took this program & got amazing hikes, switched from boring jobs to a DevOps with AWS & even got 100% hike from their current salary.