Introduction To Devops
This is Day 1 of 90 days learning of devops topic
Contents:
What is devops?
Why devops?
What is Automation?
What is scaling?
What is Infrastructure?
What is Devops
Imagine you're part of a team that's making a video game. You have people who draw and design the game (developers) and people who make sure the game runs smoothly on different computers and fixes any problems (operations). In the old days, these two groups might not talk much to each other, which could slow things down or cause issues when trying to get the game out to players.
DevOps stands for "Development" and "Operations." Or DevOps stands for "Developers" working together with "Operations" teams.
DevOps is like a bridge that helps these two groups work together better. It's about making sure that the people who design the game and the people who make sure it works well are talking to each other, sharing tools, and helping each other out.
Why devops?(Importance of Devop
Imagine you and your friends are making a big puzzle. If everyone works on their pieces separately and waits until the end to see if they fit together, you might find problems that take a long time to fix. But if you all work together, talk about how the pieces fit as you go, and help each other out, you can finish the puzzle faster
In the same way, DevOps gets the people who create the software (developers) to work closely with the people who make sure it runs well (operations). They share tools, talk a lot, and help each other out to make software that works well and can be updated quickly, just like finishing the puzzle together.
Faster Delivery: DevOps helps teams deliver updates and new features more quickly. This means customers get new stuff faster, and the company stays competitive.
Higher Quality: With practices like continuous testing and integration, problems are caught and fixed early. This means the final product is of higher quality and users have a better experience.
Efficiency: Automation of repetitive tasks (like testing and deployment) saves time, reduces errors, and lets team members focus on more important things.
Reliability: Continuous monitoring and automated systems mean any issues can be detected and fixed quickly, making services more reliable and available for users.
Faster Problem-solving: When something goes wrong, the close collaboration and shared knowledge between teams mean problems can be solved faster.
Cost Reduction: Efficiency and faster problem-solving can lead to lower operational costs.
What is Automation?
In DevOps, automation refers to the use of software tools and technology to perform tasks that would traditionally be done manually by software developers and IT operations teams.
Examples of automation in DevOps include:
Continuous Integration and Continuous Deployment (CI/CD): Automatically building, testing, and deploying code changes to streamline and accelerate the development process.
Infrastructure as Code (IaC): Managing and provisioning infrastructure through code rather than manual processes, allowing for faster setup and consistent environments.
Automated Testing: Running a suite of tests automatically to ensure that new code changes do not break or degrade the application, improving the quality of software.
Monitoring and Logging: Automatically tracking and analyzing application performance and operational data to quickly identify and respond to issues, maintaining the reliability of service
What is scaling?
Scaling in DevOps refers to the ability to handle increased workloads efficiently without compromising performance or reliability.
Imagine you have a lemonade stand that becomes very popular. On the first day, you can easily serve 10 customers with just one jug of lemonade. But as more people learn about your stand, you start getting 50, then 100 customers. To keep serving everyone without making them wait too long, you need to find ways to serve more people faster. You might get more jugs, hire friends to help, or even use a machine to pour lemonade quicker.
Types of Scaling:
Vertical Scaling (Scaling Up/Down):
Up: You make your existing server more powerful. For the lemonade stand, it's like getting a bigger jug.
Down: You reduce the resources because you don't need that much power. It's like using a smaller jug on a slow day.
Horizontal Scaling (Scaling Out/In):
Out: You add more servers to handle the load. This is like hiring more friends to serve lemonade at more stands.
In: You remove servers because they're not needed, similar to telling some friends they can go home when there are fewer customer
Autoscaling:
- This is a mix of scaling up and out but done automatically based on the demand
What is Infrastructure?
Infrastructure in DevOps refers to the systems, hardware, networks, and other foundational elements needed to develop, deploy, and run software applications efficiently.
Key Aspects of Infrastructure in DevOps:
Automation: Automating the setup, configuration, and management of infrastructure to reduce manual efforts, increase efficiency, and ensure consistency across environments.
Cloud Computing: Leveraging cloud services (such as AWS, Azure, or Google Cloud Platform) for flexible, scalable, and cost-effective infrastructure that can be adjusted according to the demands
Containerization and Orchestration: Using containers (e.g., Docker) to package applications and their dependencies into a single object, making it easier to deploy and scale applications across different environments. Orchestration tools like Kubernetes manage these containers' deployment, scaling, and operation.