DevOps is a cultural shift that closes the perceived gap between software development and IT operations and involves the combination or merger of development and operations. Its simple idea is to make people collaborate and eliminate inefficiencies in the software delivery process. We are improving communication between the team and workflows and providing faster and more reliable software with higher quality software.
You will learn the basics and advanced concepts of DevOps in this guide. We will look at important tools like Git, Ansible,Nagios , Puppet, Jenkins, Azure DevOps, Chef, Docker and Kubernetes. This critical set of tooling enables automating tasks and helps with configurations, all in a predictable (relatively) fashion.
Whether you’re an experienced DevOps professional or trying to learn it, this tutorial will bring you the skills and insight you need to thrive in the field.
DevOps Fundamentals
This tutorial will cover the basics of the DevOps Engineer journey. First, we’ll understand the fundamentals of DevOps, such as the definition and workings.
Introduction to DevOps
DevOps is the latest way to view software development, enabling you to cooperate and automate everything to quickly bring your products to market and deliver quality products. In effect, it will enable two co-aligned halls of mirrors, with one breaking down barriers to development and operations and the other promoting seamless, peer-review communication. The quick software delivery made this significantly faster, thus greatly improving customer satisfaction.
DevOps environment sees the entire application lifecycle handled by a team, from development to testing, deployment and operations. It supports the cooperation between development and operations by allowing automation release code to be eased into production as quickly and securely as possible.
DevOps automates the whole software development process, from planning to coding, testing to deployment to monitoring. It enhances productivity, makes sure it’s consistent, and eliminates errors. The DevOps culture supports itself through continuous development, including feedback loops, to allow faster iterations and decisions. Through DevOps, organisations can improve their agility, reduce costs, and increase innovation velocity.
Linux
DevOps Engineers use Linux for servers and cloud infrastructures, making it a must-have operating system. It offers a great CLI, scripting environment, essential tools, as well asrity features and powerful diagnostic tools. To deliver high-quality software and infrastructure, mastering Linux is necessary.
- Linux Commands: Basic and advanced commands.
- Linux Shell Scripting: Shell script creation and management.
- Bash Scripting: Bash and scripting introduction.
- Linux Networking: Tools and troubleshooting.
- Linux Security: How to thwart Linux servers.
Source Code Management
Tracking and managing code versions is what DevOps should do, and that is Source Code Management (SCM). Git is a leading tool for SCM, which lets us collaborate and have CI/CD pipelines and IFaceCode.
- Git: Introduction, commands and concepts.
- GitHub: Discussions about commands and comparison with GitLab.
- Bitbucket: A comparison with GitHub and GitLab.
YAML
DevOps is well known for using YAML as a path to data serialisation for Infrastructure as Code, tool configuration and CI/CD pipeline definition.
- YAML Basics: Differences with JSON, comments.
Cloud
Second, cloud computing is second nature to DevOps, as DevOps is driven by cloud computing and includes scalability, elasticity, automation, and cost optimisation. It will get you started with major cloud platforms such as AWS, Microsoft Azure, and Google Cloud and show you how to migrate your applications to the cloud.
- AWS: EC2, Load Balancer, Setup more.
- Microsoft Azure: Security, virtual machines, more.
- Google Cloud: Networking services and more.
Docker
Containerisation tool Docker simplifies the software delivery through the containerised code. It Makes application management and maintenance easy.
- Docker Basics: Instruction, Architecture, Dockerfile.
- Docker Compose Introduction and Usage.
- Docker Networking: Ports and storage.
Kubernetes
The container orchestration tool Kubernetes scales is resilient and automatable. Managing application deployment and scaling is essential.
- Kubernetes Basics: And architecture, deployments …
- Kubectl: It’s a Kubernetes command line tool.
Infrastructure as Code (IaC)
IaC provides tools to automate and configure infrastructure resources: Terraform, CloudFormation and Ansible. It manages cloud resources, dependencies and reusable templates.
- Terraform: Introduction and usage.
- Jenkins: CI/CD pipeline creation.
- Chef and Ansible: Automation tools.
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Why Learn DevOps?
Learning DevOps is necessary if you want to succeed in software development and IT operations in the fast lane. The beauty of this approach is that it integrates the development and operations teams. While it hasn’t eradicated all collaboration, it has allowed the teams to work while automating some workflow and reducing inefficiencies. DevOps works to break the traditional pattern to enable organisations to deliver software faster, with higher reliability and better quality.
With DevOps, you get a wide set of skills to facilitate software delivery through automation tools like Jenkins, Docker and Kubernetes. In addition, it focuses on continuous integration and deployment (CI/CD), infrastructure such as code (IaC,) and quick monitoring. Due to these practices, it creates scalable and resilient systems that are becoming increasingly demanding.
Also, DevOps is meant for more than just seasoned professionals; freshers can join high-demanding roles. Being part of a team and working on cutting-edge applications is a great career choice for coders who want to innovate. This is embracing DevOps, being on the edge, and working to help deliver impactful software solutions.
A core piece of the DevOps approach is to monitor and automate infrastructure. Infrastructure-aware monitoring tools provide visibility on applications and systems’ health, performance, and uptime.
Monitoring Tools:
- Prometheus: It is a simple open-source tool for monitoring and alerting, with powerful query language, and it integrates with Grafana for visualisation.
- Nagios: A widely used tool to monitor servers, services and networks.
- Datadog: It believes it provides infrastructure monitoring, log management, and application performance monitoring in one platform.
- New Relic: Offers application performance monitoring with in-depth application and infrastructure health.
- Grafana: For visualising and analysing metrics from places like Prometheus or InfluxDB.
Automation in Monitoring:
Usually, distributed tools like Ansible or Chef can handle the configuration and management of monitoring tools so that the system is always up to date and the configuration is well maintained in every environment.
Alerting and Incident Management:
Incident management and alerting of issues are automated via products like PagerDuty or OpsGenie to prevent issues from growing out of control since they are handled on the fly.
Real-world DevOps Case Studies
You can learn from the successes and lessons to help shape your strategies for DevOps.
1. Netflix
DevOps is an area in which Netflix has been a pioneer, and it has been used to scale up its platform and deliver new features continuously and rapidly. It has made operations faster for the company by using Spinnaker and Chaos Monkey for automated testing and toleration.
2. Amazon
Amazon has successfully delivered DevOps, which is implementing a fully automated process for code deployment into production. At scale, supporting microservices — and automated deployments — their AWS Lambda service is a perfect example of DevOps.
3. Spotify
Thanks to embracing devops practices such as microservices architecture and continuous delivery, Spotify has been able to roll out new batches to millions of users without downtime.
4. Etsy
To continue to accelerate its development cycle and to improve collaboration between developers and operations, Etsy embraced DevOps. The company implements Puppet and Jenkins to automate code deployment so that coding is safely and efficiently deployed.
DevOps Trends and the Future
The DevOps field is developing rapidly. This helps you know what’s coming before it happens.
- AI and Machine Learning in DevOps:
Today, people use DevOps to solve predictive analytic problems and automate testing, anomaly detection, and incident management with artificial intelligence (AI) and machine learning (ML).
- Serverless Architectures:
In serverless computing, developers don’t need to manage the underlying infrastructure; they can write code. We are adapting DevOps practices to support serverless deployment models such as AWS Lambda and Azure Functions.
DevOps is an extension of best practice software development practices, and GitOps uses Git as the single source of truth for managing infrastructure and application deployments. It helps teams manage infrastructure with Git-style workflows.
- DevOps for Data Science (MLOps):
With DevOps and MLOps seamless integration, we can go from data science models to their deployment in production environments without disruption. This approach enables fully automated model testing, deployment and scaling.
Also Read: Top 8 DevOps Principles
Advantages and Disadvantages of DevOps in Business
Advantages |
Disadvantages |
Faster Time to Market: Via CI/CD pipelines, we accelerate software delivery to shorten the time between features roll out. |
High Initial Investment: It’s set up with tools, processes, and infrastructure that take a lot of time and resources. |
Improved Collaboration: Helps development and operations to work in collaboration by cutting down the silos and the missing messages. |
Cultural Resistance: Where adopting DevOps is concerned, one must make a change in thinking, which may not be easy for teams moving from traditional workflows. |
Increased Efficiency: Accelerates repetitive tasks, allowing teams to continue building and solving critical problems. |
Tool Overhead: This makes it so you have to manage lots of tools like Docker or Kubernetes Jenkins, and so on, and it can be complex and overwhelming to manage. |
Enhanced Quality: Testing and integrating things continuously keeps your product bug-free. |
Security Challenges: If proper security practises are not followed, frequent deployments will introduce vulnerabilities. |
Scalability: It makes scaling applications and infrastructure simpler to scale the application and infrastructure to meet growing business needs. |
Steep Learning Curve: It needs a great deal of upskilling in tools, processes and practice. |
Cost Optimization: It reduces operational costs by reducing processes and better utilisation of resources. |
Uncertain ROI: The success of implementation and team alignment is crucial towards measuring returns. |
Customer Satisfaction: Software with high quality and user experience will help you retain your users and get faster updates. |
Dependency on Tools: Specific tools can be over-relied on to the point of locking in or creating operational dependencies. |
Also Read: Top DevOps Interview Questions Plus Answers
Conclusion
Infrastructure as Code (IaC) is a new way to provision and modify cloud infrastructure. It drives the trend for DevOps and has several other advantages. DevOps can reduce the silos between the development and operations teams, allowing teams to respond faster to market demands, high-quality releases, and better workflow efficiencies. DevOps practices keep gaining popularity among organisations, and if this is the case, the demand for professional expertise with these practices will continue growing.
Suppose you’re starting or experienced – you don’t need to be a dev or an ops, but you can master DevOps tools and methodologies. In that case, it might seriously help your career and help you stay in the innovation footsteps of the tech industry. Here at Hero Vired, multiple courses are provided according to the user’s need. In this situation, we suggest you take the Certificate Program in DevOps & Cloud Engineering With Microsoft, which will give you a complete insight into the Devops tutorial you require.
FAQs
You must code in DevOps, but this is about something other than writing code. It's about reducing waste, improving processes, and automating software development and IT operations.
7Cs of the DevOps Lifecycle:
- Continuous development.
- Continuous integration.
- Continuous testing.
- Continuous deployment or Continuous delivery.
- Continuous feedback.
- Continuous monitoring.
- Continuous operations.
As a beginner, you can learn DevOps and become familiar with collaboration and automation. You can practise with Git and Jenkins—Terraform for DevOps and Containerisation with Terraform for infrastructure as code and Docker. We can join the DevOps communities to get some new info from experienced people.
DevOps is the future, promising to change how organisations worldwide build software. The set of practises that enable software teams to work together well and produce high-quality software products rapidly is known as the DevOps.
With the DevOps Model, you get these results, and your developers and operations teams unite to make it happen. Teams' ownership of services means that they take ownership of service and can release updates quickly using, for example, microservices and continuous delivery.
Updated on November 21, 2024