You’ll find that your DevOps roadmap encompasses many software development concepts. Because DevOps covers the entire process of creating and maintaining software, from development to operations, and encompasses the entire technology he stack. This roadmap contains a lot of detail, but as we chart the course together, we’ll focus on the main path and detail each step.
- Learn programming languages.
- Research your operating system.
- Study various network security and logs.
- Understand infrastructure as code.
- Use tools for continuous integration/continuous deployment.
- Invest in application and infrastructure monitoring.
- Research your cloud provider and learn cloud design patterns.
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1. Learn a programming language.
DevOps engineers typically don’t write source code, but integrate databases, debug code from development teams, and automate processes. Automation is a key part of accelerating the DevOps lifecycle, and DevOps engineers play a key role in implementing a DevOps automation strategy.
Additionally, DevOps engineers should have a working knowledge of the languages that teams use to understand existing code, review new code, and assist in debugging. The programming languages to learn are:
2. Check your operating system.
An operating system (OS) is a critical part of the technology stack that DevOps teams need to function. Operating systems not only power the local computers that teams use to communicate and complete tasks, they also run servers that host applications deployed by teams.
Therefore, you should learn to use the command line terminal so that you don’t have to rely on a graphical user interface (GUI) to configure your server. The command line simplifies tasks that require multiple clicks in the GUI, and some commands can only be run from the terminal. We encourage you to learn more than one operating system, as each operating system is different.
Common operating systems for learning are:
- Linux (recommended)
You also need to learn the broader strategies and rules that govern how operating systems are built and run. As a DevOps engineer, technical and conceptual knowledge are equally important.
The operating system concepts to learn are:
- Process management
- Threads and concurrency
3. Check network security and protocols.
All web-based applications use protocols to send and receive information from users. This means we need to understand how the protocol supports different request types.
It is equally important to understand the risks of these transmission methods and how to protect them to prevent malicious actors from intercepting your data or breaking into your application. Cybersecurity is a critical skill regardless of your role in the DevOps lifecycle.
The network protocols to learn are:
4. Understand infrastructure as code.
Infrastructure as code (IaC) is a way to streamline the deployment of infrastructure that supports application delivery. Networks, servers, and other infrastructure are configured and managed using template files to create an environment that exactly matches your application’s needs. With IaC, you can automate this process for faster deployments and updates. IC strategies to learn include:
- Configuration management
- Container orchestration
- Infrastructure deployment
5. Use tools for continuous integration/continuous deployment.
Continuous integration and continuous deployment (CI/CD) are core principles on which DevOps is built.
Integration of development and operations, and constant iteration. To implement this philosophy, most DevOps teams look to tools designed to support the DevOps lifecycle. CI/CD tools support multiple stages of the pipeline, automating processes and handoffs to reduce team members. CI/CD tools to learn include:
6. Invest in application and infrastructure monitoring.
Monitoring is a way to look for signs of problems in your applications and underlying infrastructure so that your operations team can fix them before they become a failure. This practice is divided into two parts: application and infrastructure.
Application monitoring tools to learn include
- Prometheus (recommended)
- Data dog
7. Explore cloud providers and learn cloud design patterns.
Nowadays modern applications are hosted in cloud technology. Cloud services offer many benefits, including cost savings and scalability, because you don’t have to host your own servers for your applications. Of course, it’s important to understand the various cloud services available and the inherent costs and benefits of each so that you can choose the best hosting provider for your completed application. Here are some cloud providers to investigate:
- AWS (recommended)
- Google cloud
Learn cloud design patterns.
Cloud design patterns are philosophies that create scalability, reliability, and security for cloud applications. Understanding these patterns is just as important as understanding cloud providers.
There are many lessons to be learned from cloud best practices (such as high latency) that can be applied to cloud-hosted applications and development approaches prior to deployment. For example, back up your source code to a cloud-enabled repository so that it doesn’t become inaccessible when local storage is unavailable.
The cloud design patterns to learn are:
- Data management
- Design and Implementation
Not all the knowledge covered here represents everything he needs to know to be an effective DevOps Engineer, but it does cover the core knowledge you should know before diving into the details. I’m here. With this background to guide your research process, you’ll find learning much easier.
Get started on your DevOps roadmap with IPSR
There are many different technologies and concepts to explore on your DevOps roadmap. If you have a desire and passion to learn, this roadmap for devops engineer should serve as a valuable guide as you begin building your expertise. Focus on each step and you’ll soon have the skills to launch your DevOps engineering career.IPSR solutions is providing cloud devops training with placement assistance. In this training, you’ll learn technologies like Linux, automation, cloud, containers, Kubernetes, Openshift, Python, and DevOps tools like Jenkins, Terraform, and Git through a hands-on learning approach.