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Co-authored-by: jcanalesluna <56018501+jcanalesluna@users.noreply.github.com>
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# Application Monitoring
Application monitoring involves the continuous observation and analysis of software applications to ensure they perform optimally, identify issues, and provide insights into their operation. This process includes tracking metrics such as response times, error rates, resource utilization (CPU, memory, and disk), and transaction performance. Application monitoring tools collect and analyze data to detect anomalies, provide alerts for potential problems, and offer detailed insights into application behavior and performance. By monitoring applications, organizations can proactively address issues, optimize performance, and improve user experience, ultimately ensuring reliability and efficiency in their software systems.
Visit the following resources to learn more:
- [@article@Applying Basic vs. Advanced Monitoring Techniques](https://thenewstack.io/applying-basic-vs-advanced-monitoring-techniques/)
- [@article@Why Legacy Apps Need Your Monitoring Love, Too](https://thenewstack.io/why-legacy-apps-need-your-monitoring-love-too/)
- [@video@Application Monitoring - 4 Golden Signals](https://www.youtube.com/watch?v=PHcnmTdVPT0)
- [@feed@Explore top posts about Monitoring](https://app.daily.dev/tags/monitoring?ref=roadmapsh)
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# Drone
Drone is an open-source continuous integration (CI) platform built on container technology. It automates building, testing, and deploying code using a simple, YAML-based pipeline configuration stored alongside the source code. Drone executes each step of the CI/CD process in isolated Docker containers, ensuring consistency and reproducibility. It supports multiple version control systems, offers parallel execution of pipeline steps, and provides plugins for integrating with various tools and services. Drone's lightweight, scalable architecture makes it suitable for projects of all sizes, from small teams to large enterprises. Its focus on simplicity and containerization aligns well with modern DevOps practices and microservices architectures.
Visit the following resources to learn more:
- [@official@Drone](https://www.drone.io/)
- [@official@Drone Documentation](https://docs.drone.io/)
- [@video@Drone CI Quickstart](https://www.youtube.com/watch?v=Qf8EHRzAgHQ)
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# Learn a Language
Learning a programming language is a valuable skill in today's world, opening doors to various opportunities, including automation, web development, data analysis, and more. Choosing the right language depends on your specific goals and interests.
For beginners, Python is often recommended due to its easy-to-read syntax and wide range of applications. Learning a programming language is a rewarding journey. Start with a language that interests you and explore!
Visit the following resources to learn more:
- [@article@Guide to Picking a Language for DevOps](https://cs.fyi/guide/programming-language-for-devops)
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# Travis CI
Travis CI is a cloud-based continuous integration (CI) service that automatically builds and tests code changes in GitHub repositories. It helps streamline the software development process by automatically running tests and building applications whenever code is pushed or a pull request is made. Travis CI supports a variety of programming languages and provides integration with other tools and services, offering features like build matrix configurations, deployment pipelines, and notifications. Its ease of setup and integration with GitHub makes it a popular choice for open-source and private projects looking to implement CI/CD practices.
Visit the following resources to learn more:
- [@official@Travis CI Documentation](https://docs.travis-ci.com/)
- [@official@Travis CI Tutorial](https://docs.travis-ci.com/user/tutorial/)
- [@video@Travis CI Complete Tutorial for DevOps Engineers](https://www.youtube.com/watch?v=xLWDOLhTH38)
- [@feed@Explore top posts about CI/CD](https://app.daily.dev/tags/cicd?ref=roadmapsh)