Top 5 Tools That Cloud Operations Engineers Need to Know

By FindDevOpsJobs Team

Top 5 Tools That Cloud Operations Engineers Need to Know

In today's rapidly evolving digital landscape, cloud operations engineers play a crucial role in managing and optimizing cloud infrastructure. To excel in this field, it's essential to be proficient with a variety of tools that enhance efficiency, automation, and monitoring capabilities. Here are the top 5 tools that every cloud operations engineer should have in their toolkit:

1. Terraform

Purpose: Infrastructure as Code (IaC)

Terraform, developed by HashiCorp, is an open-source infrastructure as code software tool that enables you to safely and predictably create, change, and improve infrastructure. It codifies cloud APIs into declarative configuration files.

Key Features

  • Multi-cloud support
  • Declarative language
  • State management
  • Module system for reusable components

Why It's Essential: Terraform allows cloud operations engineers to version control their infrastructure, making it easier to collaborate, rollback changes, and maintain consistency across environments.

See the Terraform Tutorials Page to Get Started

2. Kubernetes

Purpose: Container Orchestration

Kubernetes, often abbreviated as K8s, is an open-source platform designed to automate deploying, scaling, and operating application containers.

Key Features:

  • Auto-scaling
  • Self-healing
  • Load balancing
  • Rolling updates and rollbacks

Why It's Essential: As containerization becomes increasingly popular, Kubernetes provides the tools necessary to manage complex, containerized applications at scale across multiple cloud environments.

Learning Kubernetes can be challenging but the best way is to look at becoming a Certified Kubernetes Administrator.

3. Prometheus

Purpose: Monitoring and Alerting, Observability (O11y)

Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud.

Key Features:

  • Multi-dimensional data model
  • Flexible query language (PromQL)
  • No reliance on distributed storage
  • Pull model for time series collection

Why It's Essential: Prometheus provides powerful monitoring capabilities that allow cloud operations engineers to gain deep insights into system performance and set up proactive alerting.

You can go to the prometheus docs to learn more about it. If you're looking to become an AWS DevOps Engineer then knowing Amazon Managed Service for Prometheus (AMP) is important. Here's the docs for AWS AMP.

4. Ansible

Purpose: Configuration Management and Automation

Although not as modern as some of the tools above, if you're still managing virtual machines at scale then Ansible is definitely a must-know. Ansible is an open-source software provisioning, configuration management, and application-deployment tool enabling infrastructure as code.

Key Features:

  • Agentless architecture
  • Playbooks in YAML format
  • Extensive module library
  • Idempotent operations

Why It's Essential: Ansible simplifies complex tasks, allowing cloud operations engineers to automate repetitive processes, ensuring consistency across large-scale deployments.

See the Ansible docs to understand the basics.

5. Git

Purpose: Version Control

While not exclusively a cloud tool, Git is crucial for managing and versioning infrastructure code, scripts, and configurations. Many modern deployment techniques leverage git (via GitOps) and so it's not just a tool that's in the realm of developers.

Key Features:

  • Distributed version control
  • Branching and merging
  • Lightweight and fast
  • Supports non-linear development

Why It's Essential: Git enables cloud operations engineers to collaborate effectively, track changes, and maintain a history of infrastructure and configuration modifications.

A brief into to Git from W3Schools

Conclusion

Mastering these five tools—Terraform, Kubernetes, Prometheus, Ansible, and Git—will provide cloud operations engineers with a solid foundation for managing modern cloud infrastructure. These tools cover essential aspects of cloud operations, including infrastructure provisioning, container orchestration, monitoring, automation, and version control.

As the cloud landscape continues to evolve, staying updated with these tools and their ecosystems will be crucial for success in cloud operations engineering. Remember, while these tools are powerful individually, their true potential is realized when used in combination to create robust, scalable, and efficient cloud environments.


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