In today’s IT world, the majority of high-paying, cutting-edge jobs are in cloud computing and DevOps. Companies like Amazon and Google, as well as startups, use these technologies to run their businesses. Yet for many students and recent graduates, and for professionals from other fields interested in switching to IT, the question remains: What is the difference between cloud computing and DevOps? What are the main skills one needs to master in each of these domains? And, most importantly, which one is better to choose for building a successful career?
What is Cloud Computing?
Cloud computing is the provisioning of scalable IT infrastructure resources known as “cloud services” or “cloud computing services” via the internet. Cloud service (for instance servers, storage, databases, software, etc.) provisioned at a rapid pace to provide services for end-users are available from Cloud Service Providers (CSPs) such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP).
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| CLOUD COMPUTING |
| Focus: On-Demand Infrastructure, Hardware & Hosting |
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| Services: AWS, Azure, GCP, Storage, Virtual Servers, Networking |
| Goal: Eliminate physical data centers; deliver scalable cloud assets |
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Core Architecture and Delivery Models
Cloud computing operates across three primary service models:
IaaS is used to run applications and services in virtual servers (so-called virtual machines) on storage systems and networks, and even with complete operating systems. A customer could use the IaaS offering EC2 provided by Amazon Web Services or the virtual machine platform offered by Microsoft Azure.
Platform as a Service (PaaS): A platform as a service cloud solution provides the opportunity for clients to build their application in the managed environment in the cloud. The customers are able to develop, test, launch and run their applications and services without having any concerns regarding the underlying IT infrastructure (e.g., AWS Elastic Beanstalk, Google App Engine).
Software as a Service (SaaS): The software is built, maintained and delivered to the end user over the Internet by means of cloud servers. Some of the SaaS instances include Google Workspace, Microsoft 365, and Salesforce.
Real World Example
The example of the well-known video service Netflix shows how cloud computing is used today for large applications. The complete video stock and user data of the provider are running on cloud servers. If at peak times millions of users are watching a new TV series, the compute resources available on demand are increased automatically by the cloud to handle the load. If after some time only a few users are left, the resources are automatically scaled back again to a minimum.
What is DevOps?
DevOps (short for Development and Operations) refers to the engineering practices, culture and tools that unite software development with the operations of the IT system on which the software is running. For a long time, development and operation were two separate entities. Development used to work in isolation to write software. The operations team would then deploy the software on physical or virtual servers. This led to communication problems, long release cycles and lots of errors during deployment.
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| DEVOPS |
| Focus: Process Automation, CI/CD Pipelines & Delivery Speed |
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| Tools: Docker, Kubernetes, Jenkins, Terraform, Git, Ansible |
| Goal: Bridge software creation & operations; automate releases |
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- Many DevOps teams are using tools like Docker, Kubernetes, Jenkins, Terraform and Git in their DevOps tools stack to automate processes and implement their Continuous Integration & Continuous Delivery (CI/CD) pipelines in order to deliver software faster in production environments. in a smooth and seamless manner.
Infrastructure As Code (IAC): Rather than depending on individuals to configure and manage the servers as well as the other necessary resources for the DevOps teams, coding is utilized in order to provision and manage the necessary IT infrastructure.
Monitoring and Feedback: Continuous monitoring of logs, application performance, and application health in runtime, along with continuous error fixing in real time to ensure that the best services are provided.
Example
A good example to make things concrete: A fintech company updates the payment process of its mobile application. In a classical setup, this update would take several weeks to be deployed to production in order to go through manual testing, get approved by several people, and configure servers manually. Such an update gets deployed in a DevOps environment within minutes through the following process: The engineer will commit his code changes to Git, automated tests using Jenkins/GitHub Actions will be run on the committed code changes, and then the application that has been updated will be deployed in a Docker container.
Skills Required for Cloud Computing
Success in a career in cloud computing is very closely associated with having strong skills in the areas of architecture, networking, platform and cloud provisioning, and governance.
1. Knowledge in Popular Clouds (AWS, Azure, GCP)
It’s important to master one major cloud platform in detail and then learn the key compute, identity, storage, database, and other services for that platform in detail, including hands-on experience. For example, core compute services such as EC2 for AWS and Azure VMs for Azure. Also, identity management for the platform, such as AWS IAM for AWS and Microsoft Entra ID for Azure. Then storage services, such as S3 for AWS and Azure Blob Storage for Azure. Finally, database services, such as RDS for AWS and Azure Database for Azure.
2. Networking and Security Architecture
Virtual Private Clouds (VPCs), subnets, routing, DNS, firewalls and virtual network gateways. Understanding how to use Identity and Access Management (IAM) in order to protect cloud resources and access to them.
3. Cloud Storage and Database Management
Cloud engineers are responsible for configuring cloud-based object storage, block-based storage, relational databases (such as PostgreSQL/MySQL) and NoSQL databases (such as MongoDB) for maximum performance, retention and recovery.
4. Cost Optimization and Cloud FinOps
In terms of cost, cloud engineers monitor the consumption of cloud resources in terms of metrics, select between reserved/spot instances, and also delete unnecessary resources to avoid expenses with cloud services.
5. Scripting and Linux Basics
Having skills in using command-line interfaces (CLI) and working with the Linux OS, as well as some programming language knowledge (Python, Bash) for automation of cloud resource management (virtual machines, instances, etc.).
Essential Skills Required for DevOps
In DevOps roles there are a mix of skills from software development, tools, process automation and good communication skills.
1. Version Control Systems (Git and GitHub)
Git is the core of all DevOps workflows. Thus, understanding different branch strategies as well as pull requests and conflict resolution on merge requests and doing code reviews is crucial for any DevOps engineer.
2. CI/CD
Understanding of how to create, configure, and manage CI/CD pipelines through platforms such as Jenkins, GitHub Actions, GitLab CI, and CircleCI.
3. Containerization & Orchestration
Containerization using Docker and container cluster management using Kubernetes is key to what DevOps do for packaged applications.
4. Infrastructure as Code (IaC) & Configuration Management
Configuration & management of infrastructure that doesn’t involve the use of web consoles using declarative configuration management through Terraform, Ansible, Chef, or Puppet.
5. System Monitoring, Logging, and Site Reliability
In the DevOps role monitoring of application performance, the uptime of web applications and the security of the infrastructure in real time is enabled by setting up a centralized observability stack consisting of components like Prometheus, Grafana and Datadog or the ELK Stack (Elasticsearch, Logstash, Kibana).
Career Scope, Job Roles, and Salary Outlook
Both Cloud Computing and DevOps careers have excellent job security, growing global demand, and good compensation for a variety of job roles in startups, medium-sized companies and large multinational Fortune 500 technology companies.
Cloud Computing Career Roles & Salary Expectations
There are many specializations within the field of Cloud Computing like architecture, administration and even defense of systems.
Key Job Roles:
Cloud Engineer / Cloud Administrator
Solutions Architect / Cloud Systems Architect
Cloud Security Engineer / Compliance Specialist
Enterprise Migration Specialist
Salary Expectations:
Starting Level (0 to 2 years experience): $75,000 - $100,000 USD / ₹5,000,000 - ₹800,000 INR annually.
Intermediate Level (3 to 6 years experience): $110,000 - $145,000 USD / ₹1,200,000 - ₹1,800,000 INR annually.
Senior/Architect Level (Over 7 years experience): $160,000 - $220,000+ USD / ₹2,500,000 - ₹4,500,000+ INR annually.
DevOps Career Choices and Salary Projections
Since the DevOps field bridges software development and the operations of a company, which enables faster deployment of products to market, the companies invest heavily in the engineers who work in this field.
Key Job Roles:
DevOps Engineer / Build and Release Engineer
Site Reliability Engineer (SRE)
DevSecOps Engineer (Security Automation Engineer)
Expected Salary Range:
Salary for Starting Position: $80,000 - $105,000 USD / ₹600,000 - ₹900,000 INR per year.
Salary for Mid-Level Position: $120,000 - $155,000 USD / ₹1,400,000 - ₹2,200,000 INR per year.
Salary for Senior/Lead Position: $170,000 - $240,000+ USD / ₹3,000,000 - ₹5,000,000+ INR per year.
FAQs
1. Is DevOps harder to learn than Cloud Computing for beginners?
While neither of the two fields is more difficult to learn than the other, for complete beginners to IT the Cloud might be easier to get started with, since as a beginner to IT with a networking or systems administration background the main area of Cloud that they would focus on is the provision of platforms, i.e. the setup of the underlying infrastructure for servers etc. whereas DevOps is a mix of scripting, the setup of and management of a CI/CD pipeline, containerization and application development.
2. Can I start learning DevOps without prior knowledge of Cloud Computing?
This is not true however. The core ideas behind DevOps can be grasped through the completion of exercises involving local machines; however, there are certain DevOps processes which depend on cloud automation when used for staging and production purposes. Therefore, it is evident that knowing at least some basics concerning cloud VMs, networks, and security will definitely ease your DevOps learning process.
3. Which career provides better starting salaries – Cloud Engineer or DevOps Engineer?
The average salary of DevOps Engineers is a bit higher than the same level of Cloud Engineers.However, once experienced Cloud Architects and Cloud Security Specialists are included in the comparisons, both of these specialties can earn similarly high salaries.
4. Is there need to have strong programming skills to become Cloud Computing or DevOps Engineer?
Scripting for Cloud Computing is relatively easy and typically confined to basic automation tasks. For DevOps however, you will need to have medium level of scripting skills in languages like Python, Ruby or bash, to write build scripts, DevOps related scripts, Infrastructure as Code templates and other deployment related scripts.
5. Is there a way for me to move from being a Cloud Engineer to becoming a DevOps Engineer later on in my career?
Absolutely! One of the most natural career moves in IT would be going from Cloud Engineering to DevOps. The reason for that is that Cloud Engineers have direct experience working with cloud infrastructure, virtual networks, and command line interfaces.
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