10 DevOps tools you should learn in 2023

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Are you looking to boost your career in DevOps in the coming year? Want to streamline your workflow and stay ahead of the curve? Look no further! Here are the top 10 DevOps tools you should learn in 2023 to enhance your skills and stay competitive in the industry.

Kubernetes: Kubernetes (also known as K8s) is an open-source container orchestration platform that helps manage and scale containerized applications. It allows teams to automate the deployment, scaling, and management of containerized applications, making it easier to run and maintain them in different environments. Learning Kubernetes will give DevOps engineers the skills they need to manage complex containerized environments and stay competitive in the industry. It can also improve their workflow and productivity by automating many of the tasks involved in managing and deploying applications.
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Terraform: Terraform is an open-source infrastructure as code (IaC) tool that allows teams to define, provision, and manage infrastructure resources in a safe, predictable, and efficient manner. It supports a wide range of infrastructure providers, including major cloud providers like AWS, Azure, and Google Cloud, as well as on-premises environments and third-party services.
Learning Terraform is valuable for any DevOps engineer, as it allows teams to manage infrastructure in a more efficient and predictable way. It’s particularly useful for teams that use multiple cloud providers or need to manage infrastructure at scale.
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Docker: Docker is a containerization platform that allows developers to package and deploy applications in isolated containers. It simplifies the process of developing and deploying applications, making it easier to run them in different environments.
Learning Docker is essential for any DevOps engineer looking to optimize their workflow and streamline the development and deployment process.
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Prometheus: Prometheus is an open-source monitoring tool that helps teams monitor and alert on their infrastructure and applications. It’s simple to set up and has a large and active community, making it a great choice for teams of all sizes.
learning Prometheus is a valuable investment for any DevOps engineer. It can help you monitor and optimize your infrastructure and applications, ensuring they are running smoothly and efficiently.
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GitHub Actions is a tool that allows developers to automate their workflow by creating custom actions that can be triggered by specific events, such as pushes to a repository or the creation of a pull request. These actions can be used to build, test, and deploy code, or to perform other tasks such as running automated tests or deploying to a production environment.
As a DevOps engineer, learning GitHub Actions can help you automate and streamline your workflow, enabling you to focus on more important tasks and responsibilities. It can also help you improve the reliability and efficiency of your team’s development process and reduce the risk of errors and downtime. Overall, learning GitHub Actions is a valuable skill for any DevOps engineer looking to optimize their workflow and improve their team’s efficiency.
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GitOps: GitOps is a way of implementing continuous delivery that uses Git as a single source of truth for declarative infrastructure and applications. It involves using Git to store, version, and audit all infrastructure and application code, as well as the desired state of the system.
GitOps is a valuable tool for any DevOps engineer to learn. It can help streamline the delivery process, improve collaboration, and make infrastructure and application maintenance easier.
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Knative: Knative (pronounced “kay-native”) is an open-source platform that enables developers to build, deploy, and manage serverless applications on top of Kubernetes. It provides a set of APIs and components that make it easier to build and run scalable, event-driven applications, such as microservices and web applications.
Knative is a valuable tool for DevOps engineers looking to build and manage serverless applications on Kubernetes. Its simplicity, scalability, flexibility, and event-driven design make it a powerful choice for building modern, cloud-native applications.
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Grafana: Grafana is an open-source data visualization and monitoring platform that allows users to create, explore, and share dashboards. It supports a wide range of data sources and is often used to monitor and visualize time series data, such as metrics from servers, applications, and other infrastructure components.
Learning Grafana can help DevOps engineers better understand and manage their systems, identify issues, and collaborate with their teams. It’s a valuable tool to have in any DevOps engineer’s toolkit.
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Trivy: Trivy is a lightweight and open-source vulnerability scanner specifically designed for containers and container images. It is developed by Aqua Security and is designed to be fast and easy to use, making it a useful tool for DevOps engineers to quickly identify and fix vulnerabilities in their containerized applications.
Learning Trivy is a valuable skill for DevOps engineers looking to ensure the security and compliance of their containerized applications.
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Chaos Mesh: Chaos Mesh is an open-source chaos engineering platform that allows teams to inject failures and other types of disruptions into their systems to test their resilience and robustness. It’s designed to help teams identify and fix vulnerabilities and weaknesses in their systems before they become major issues.
Chaos Mesh is a valuable tool for any DevOps engineer looking to improve the resilience and reliability of their systems and streamline troubleshooting.
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Conclusion:

Learning these 10 DevOps tools will give you a strong foundation and set you up for success in the coming year. Whether you’re just starting out in DevOps or an experienced engineer, these tools are essential for optimizing your workflow and staying competitive. Stay ahead of the curve and start learning these tools today!

Source: https://dev.to/yusadolat/10-devops-tools-you-should-learn-in-2023-2j6c