Advanced Terraform - Plan Szkolenia

Terraform, created by Hashicorp, is a tool used for provisioning infrastructure and application resources across public cloud, private cloud, and external services.

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

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

• Install and configure Terraform.
• Implement an "infrastructure as code" approach to managing private and public cloud environments.
• Write declarative configuration files for more efficient change management and collaboration.
• Improve transparency in the infrastructure procurement process.
• Create, launch, and remove resources across different infrastructure providers (AWS, GCP, Azure, OpenStack, VMware, etc.) from within a single tool.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.
• To learn more about Terraform, please visit: https://www.terraform.io/

Audience:

• DevOps engineers
• System administrators
• System architects

Terraform, created by Hashicorp, is a tool for managing any infrastructure. The IaC tools make managing highly complex, production-grade servers and applications practical, efficient, and even enjoyable.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Terraform with their infrastructure to plan and build multiple environments.

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

• Install and configure Terraform.
• Implement an infrastructure as code approach to managing IT 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.

Format of the Course:

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Amazon Web Services (AWS) provides infrastructure for building applications in the cloud. Terraform, created by Hashicorp, is a tool for managing that infrastructure. The combination of AWS and Terraform make managing highly complex, production-grade servers and applications practical, efficient, and even enjoyable.

This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Google Cloud Platform (GCP) provides infrastructure for building applications in the cloud. Terraform, created by Hashicorp, is a tool for managing that infrastructure. The combination of GCP and Terraform make managing highly complex, production-grade servers and applications practical, efficient, and even enjoyable.

This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Terraform in Practice refers to the real-world application and utilization of Terraform, a powerful open-source tool developed by HashiCorp, used for implementing Infrastructure as Code (IaC). Terraform allows DevOps teams to define and provision data center infrastructure using a high-level configuration language known as HashiCorp Configuration Language (HCL).

This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Terraform, by Hashicorp, is a configuration orchestration tool for building and managing infrastructure on and off the cloud.

This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Alibaba Cloud is a cloud computing platform that offers a full range of cloud services for networking, databases, security, analytics, big data, application services, and much more.

This instructor-led, live training (online or onsite) is aimed at IT professionals who wish to learn the fundamentals of Alibaba Cloud and how to use its cloud computing services.

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

• Understand the Alibaba Cloud solution architecture.
• Learn about the Alibaba Cloud core products and services.
• Understand the capabilities of Alibaba Cloud in dealing with big data and databases.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Google Anthos is a set of managed services that add value to the Kubernetes container platform. Anthos can be run on a hybrid and multicloud environment.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use Anthos to build, deploy, and optimize applications running on top of multi-cluster Kubernetes infrastructure.

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

• Set up Google Anthos on-premise or in the cloud.
• Define, automate, and enforce policies across different environments.
• Manage traffic between services.
• Use Anthos Service Mesh to monitor, troubleshoot, and improve application performance.
• Implement security controls across all deployments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi.

This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

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

• Install and configure Power BI.
• Evaluate the various data solutions offered by cloud providers such as Azure.
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Build reporting and analytics solutions based on on-premise as well as cloud data.
• Integrate data analytics solutions with a data warehouse.
• Mitigate data security risks and ensure data privacy.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

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)

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 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.

Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi.

This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

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

• Install and configure Power BI.
• Evaluate the various data solutions offered by cloud providers such as Azure.
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Build reporting and analytics solutions based on on-premise as well as cloud data.
• Integrate data analytics solutions with a data warehouse.
• Mitigate data security risks and ensure data privacy.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

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.