Insights Into What You Must Know Before Entering Cloud & DevOps Roles

Nowadays, businesses are slowly migrating from physical data maintenance to cloud-based infrastructures. Cloud infrastructures require skilled professionals who understand the concept behind them and know how to operate them. Accepting a job role with cloud computing requires sound technical knowledge and practical experience in the subject. The cloud computing courses online teach you the fundamentals of DevOps & cloud computing, machine learning, cloud networking, cloud architectures, cloud implementations, security, etc.

Additionally, accepting a DevOps or cloud computing role offers a competitive career with good annual pay. For that, you should be highly skilled and able to deal with the real-world scenarios of DevOps and cloud computing.

Let’s dig into the insights of the DevOps certification course by analyzing the necessary skills, practices, and significance of collective mentality.

1.   Fundamentals of Cloud Computing & DevOps

  • DevOps – It aims to blend software building with IT operations to reduce the time spent developing a software system. It also facilitates the simultaneous delivery of high-quality software. The center of DevOps comprises CI, CD, and IaC.
  • Cloud computing- This offers the infrastructure that gives IT professionals storage, servers, databases, networking, and software over the Internet. In most cases, clouds are of two types: small and large. The large clouds are sometimes segmented into multiple locations.

2.   Proficiency in Technical Attributes

It is essential to understand a few of the frequently used cloud platforms for industrial use.

  • Azure- In this, you should be able to give services like EC2, S3, RDS, and Lambda (serverless computing).
  • Google Cloud Platform- This stresses Azure virtual machines, Azure Blob Storage, and Azure functions.
  • Amazon Web Services- Training on this tool will help you achieve expertise in computing engines, cloud storage, and Google Kubernetes Engine.
  • Infrastructure as Code—It governs and installs computing frameworks via machine-readable scripts. It ensures the automation of the framework system and management, guaranteeing accuracy and reducing errors.

Examples: Terraform & AWS cloud platform

  • Encapsulation- As the name suggests, it is the process of capturing the software systems in containers to make them adaptable and portable across diverse environments. After encapsulation, the orchestration takes place. This is done to manage encapsulated applications for scaling, deployment, and operations.

Examples: Docker & Kubernetes

  • Continuous Integration/ Continuous Deployment—By employing these two methodologies, DevOps professionals can seamlessly add code changes along with the deployment of production. Jenkins and Gitlab are the CI/CD tools that help streamline workflows to ensure faster delivery of software systems.
  • Drafting/ Mechanization—Languages like Python, Powershell, etc., are important parts of cloud computing and DevOps. They are routinely utilized in task mechanization and framework maintenance.

3.   Tools Usage & Best Practices

  • Version Tracking System—This process tracks the number of modifications made while delivering the software. Tools like Gitlab assist in tracing code base history, code changes, etc.
  • Surveillance & Logging- Installation of a tough surveillance system keeps an eye on the well-being and functionality of the software applications. The tools responsible for surveillance and logging give an insider into the application’s performance and thus promote prior troubleshooting.

Examples: AWS cloud watch, Prometheus

  • Safety—AWS IAS and GCP IAM are the tools responsible for ensuring the safety of applications. Safety in the cloud system is foremost. These tools use the core safety principles of cloud computing, such as IAM (Identity & Access management), encryption, and networking safety.
  • Budget Management—Cloud systems sometimes become very vulnerable to budgeting. This is due to the mismanagement and allocation of resources used to build the software. Tools are available to perform the budgeting task when constructing an application from scratch.

Examples- AWS Cost Explorer

4.   Believing in DevOps principles

  • Communication- DevOps is the short word for development and operations. Thus, it requires effective communication between the two teams to generate an application successfully. Microsoft Teams and Slack are examples of tools that facilitate proper communication.
  • Agile Procedures- Following agile principles promotes incremental design, simultaneous feedback, adaptive planning, etc. This ensures that software development floors the devOps principle.
  • Resilience & Adaptability—It is essential to develop the attitude to troubleshoot under high-stress situations. Thus, adapting to diverse scenarios is quintessential.

5.   Ethical Exercise

  • Obedience- Following the regulatory principles to protect and safeguard company information is crucial. You should be well aware of the regulations like HIPPA, GDPR, etc. This ensures that software deployment complies with regulatory standards.
  • Moral Usage of Technology- Considering privacy and data security to prevent any ethical breach is essential. It facilitates the moral usage of DevOps and cloud computing technologies across organizations.


Choosing a devOps/ cloud computing job role promises a great career in the IT industry. Along with a successful career, it puts the individual on the challenge of tackling complex tasks, collaborating inter-departments, effective communication, and many more. Therefore, enrolling in a DevOps certification course trains you with extensive coursework consisting of technical and practical modules. This program also trains you on the regulatory and ethical practices that should be taken care of while developing any application for the client.

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