Terraform for Managing Cloud Infrastructure Training Course

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level to advanced-level DevOps engineers, system administrators, and system architects who wish to enhance their Terraform skills and proficiency in managing complex infrastructure deployments.

By the end of this training, participants will be able to:

• Develop and maintain Terraform projects at scale.
• Demonstrate expertise with HCL and some of the more-advanced expression language capabilities and practices.
• Utilize various automation tools and processes for managing Terraform ops in continuous integration and delivery pipelines, including testing and quality assurance tools and processes.
• Act as an expert in any existing or new Terraform project or module.

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level to advanced-level DevOps engineers, cloud architects, and infrastructure specialists who wish to enhance their skills in managing and orchestrating distributed infrastructure using Terraform's advanced features.

By the end of this training, participants will be able to:

• Utilize Terraform's advanced features to create dynamic, scalable infrastructure.
• Structure and manage Terraform modules for optimal reusability and efficiency.
• Integrate Terraform with CI/CD pipelines for seamless automation.
• Debug and troubleshoot complex Terraform configurations effectively.
• Implement best practices for maintaining and scaling cloud infrastructure with Terraform.

This instructor-led, live training in Taiwan (online or onsite) is aimed at DevOps engineers with little or no previous experience managing infrastructure. Terraform will be used to automate the setup and deployment of infrastructure on and off the cloud.

By the end of this training, participants will be able to:

• Install and configure Terraform.
• Understand the principles of infrastructure as code.
• Set up and automate infrastructure using Terraform.
• Write and share configuration file with team members.

This instructor-led, live training in Taiwan (online or onsite) is aimed at engineers with basic experience in managing infrastructure who wish to use Terraform to design, build, and automate multiple environment configurations and complex DevOps processes.

By the end of this training, participants will be able to:

• Set up workspaces for multiple environments with Terraform.
• Know the best practices in managing infrastructure at scale.
• Use the advanced tools and CLI configurations in Terraform.
• Design and develop complex Terraform modules.
• Gain expertise in advanced HCL operators and coding techniques.
• Implement security hardening and code analysis.
• Automate testing processes and CI/CD pipelines.

This instructor-led, live training in (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.

By the end of this training, participants will be able to:

• Install and configure Terraform on AWS.
• Implement an "infrastructure as code" approach to managing AWS cloud environments.
• Create, launch, and dismantle infrastructure from within a single tool.
• Write declarative configuration files that can be managed like any other source code in a version control system.
• Quickly update configuration files for effectively responding to changing compute resource needs.
• Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
• Improve transparency in the infrastructure procurement process.

This instructor-led, live training in Taiwan (online or onsite) is aimed at engineers who wish to use Terraform on GCP to plan and build cloud infrastructure.

By the end of this training, participants will be able to:

• Install and configure Terraform on GCP.
• Implement an "infrastructure as code" approach to managing private and public cloud environments.
• Create, launch, and dismantle infrastructure from within a single tool.
• Write declarative configuration files that can be managed like any other source code in a version control system.
• Quickly update configuration files for effectively responding to changing compute resource requirements.
• Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
• Improve transparency in the infrastructure procurement process.

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level DevOps engineers who wish to use Terraform to build and manage real infrastructure projects in a cloud environment.

By the end of this training, participants will be able to:

• Understand Terraform and IaC fundamentals.
• Learn to write and manage Terraform configurations.
• Master Terraform for infrastructure automation across AWS, Azure, and GCP.
• Utilize Terraform's advanced features including workspaces and modules.
• Integrate Terraform with CI/CD pipelines and Terraform Cloud for team collaboration.

This course has been created for people who want to understand how to benefit from cloud computing. It uses Amazon EC2 example, but can be tailored to other providers.

Audience

IT architects, mid-level IT managers, IT consultants

Format of the course

Currently 100% lectures.

Day 1 - provides end-to-end coverage of fundamental cloud computing topics as they relate to both technology and business. The module is divided into a series of sections, each of which is accompanied by a hands-on exercise.

Day 2 - explores technology-related topics that relate to cloud computing platforms. It does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that address cloud service architecture, cloud security threats and technologies, virtualization and data processing.

Day 3 - provides a technical insight into foundational cloud computing platforms. Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) environments are explored as compound patterns, comprised of unique and shared building blocks. This module is structured as a guided tour through these architectural layers, describing primary components, highlighting shared components and explaining how building blocks can be assembled and implemented via cloud computing mechanisms and practices

Day 4 - builds upon Day 3 to provide a deep dive into elastic, resilient and multitenant technology architectures, as well as specialized solution architectures, such as cloud bursting and cloud balancing. Through the study of architectural mechanisms, industry technologies and design patterns, both core and extended components are described that combine to realize elasticity, resiliency and multitenancy as primary characteristics of cloud platforms. By leveraging these native and enhanced scalability and failover-related feature-sets, specialized solution architectures are described to enable bursting between clouds and on-premise and cloud environments, as well as the balancing of runtime loads across clouds for performance and failover purposes.

Day 5 - presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered previously.

This course is created for people who face choices which solution to choose for a specific problem. IT Managers, Solution Architects, Test Managers, System Administrators and Developers can benefit from this course by understanding the benefits and costs of available Cloud/SaaS/Iaas solutions.

HashiCorp is an open-source software company that provides tools for provisioning, securing and running infrastructure for distributed applications. Their DevOps suite includes:

• Vault - for securing distributed applications
• Terraform - for provisioning infrastructure and application resources across public cloud, private cloud, and external services
• Nomad - a distributed, highly available, datacenter-aware cluster manager and scheduler for deploying applications on any infrastructure, at any scale.
• Consul - for discovering and configuring services in your infrastructure.

This course focuses on Consul. We go over the Consul's architecture and features and carry out a live implementation and deployment of a Consul server.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice and implementation, occasional quizzing to measure progress

Audience

Software Engineer/Computer Scientists with adequate concepts of algorithms and
familiarity with at least one programming/scripting language but without any experience of Cloud
Computing

Duration

3 days (7 hours / day)

Multicloud (multi-cloud) Computing refers to the use of cloud services from multiple providers, for example, using infrastructure (Iaas) services from different providers simultaneously, through a single management console.

Morpheus is a Cloud Application Management Platform for managing applications across multiple clouds as well as orchestrating cloud resources themselves.

In this instructor-led, live training, participants will learn set up, configure and manage Morpheus.

By the end of this training, participants will be able to:

• Install and configure Morpheus
• Provision cloud resources across different infrastructures
• Orchestrate and manage clouds, including logging, monitoring and backups
• Migrate applications from on-premise to private or public clouds
• Integrate Morpheus with third-party tools such as Ansible, Chef, Consul, and others

Audience

• Administrators
• Developers
• DevOps Engineers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

In this instructor-led, live training in Taiwan, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud. 

By the end of this training, participants will be able to:

• Configure and manage Kubernetes on Google Cloud.
• Deploy, manage and scale a Kubernetes cluster.
• Deploy containerized (Docker) applications on Google Cloud.
• Migrate an existing Kubernetes environment from on-premise to Google Cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.