Terraform’s process typically includes four key stages: init, plan, apply, and output. During these stages, you can run custom commands (like bash scripts) to automate tasks. For example, you might use init to initialize your working directory, plan to preview changes, apply to execute the infrastructure changes, and output to display results. Additionally, tools like Ansible can be integrated for further configuration management during these stages.

CloudFormation is used to automate the creation and management of AWS infrastructure through templates. It enables dynamic handling of data values that may only be available at runtime, allowing for flexible and repeatable infrastructure deployments.

Prometheus is an essential open-source monitoring tool widely used in DevOps. It collects and stores time-series data with metrics tagged by unique names and timestamps from various services, enabling real-time monitoring and alerting to ensure system reliability and performance.

Grafana is an open-source visualization and analytics platform that lets you query, visualize, and set alerts on your metrics, logs, and traces from various data sources. It helps transform time-series data into meaningful graphs and dashboards for easier monitoring and analysis.

Prometheus is a monitoring and alerting tool that collects, stores, and queries time-series data. Grafana is a visualization platform that creates dashboards and graphs from metrics collected by Prometheus and other sources. Simply put, Prometheus gathers and manages the data, while Grafana displays it for easy analysis.

Basic familiarity with scripting or programming concepts is helpful but not mandatory. The course focuses more on automation tools and declarative languages used in IaC, which are easier to grasp with some prior experience.

Yes, the course is designed to guide you from foundational concepts to advanced practices, making it suitable for beginners and those with some prior experience.

Having access to AWS is recommended since Terraform and CloudFormation examples are AWS-centric. However, the concepts and tools are cloud-agnostic, and you can practice with free tiers or local setups.

The focus is primarily on using declarative languages for IaC and configuration rather than deep programming. Some basic scripting may be involved, but it’s kept practical and straightforward.

Familiarity with basic Linux commands, cloud computing concepts, and networking fundamentals will help you grasp the material more easily.

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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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