Table of contents
DevOps is a methodology that combines the best practices of software development and IT operations to accelerate the delivery of high-quality software products. The field is constantly evolving and new tools are emerging all the time.
From containerization to orchestration, from configuration management to continuous integration and deployment, these tools are essential for anyone working in the DevOps field.
So, let's dive in and explore the top 10 DevOps tools to learn in 2023.
1. Git and GitHub - Version Control
Git and GitHub are powerful tools for modern software development. Git is a version control system that allows you to track changes to your code and collaborate with other developers, while GitHub is a web-based platform that provides a user interface for managing Git repositories and working on projects.
For Further Study
2. Docker - Containerization
Docker is a valuable tool for developers that simplifies the process of deploying and running applications it also enables developers to collaborate and share their work more easily.
For Further Study
3. Kubernetes - Container Orchestration
Kubernetes (or K8s) is an open-source container orchestration system that allows developers to automate the deployment, scaling, and management of containerized applications. With Kubernetes, you can deploy your applications quickly and predictably, and scale them up or down as needed without any downtime.
For Further Study
4. Jenkins - (CI/CD)
Jenkins is a powerful and versatile open-source automation tool that is widely used for continuous integration and continuous delivery (CI/CD) of software projects. It enables developers to automate various aspects of software development, including building, testing, and deploying code changes.
This makes it an essential tool for streamlining the software development process, improving efficiency, and reducing errors.
For Further Study
5. Pulumi - Infrastructure as Code
Pulumi is a modern Infrastructure as Code (IAC) tool that allows developers to use familiar programming languages and tools to provision, manage, and deploy cloud infrastructure.
With Pulumi, you can write code in languages like JavaScript, TypeScript, Python, and Go to define your infrastructure, making it more manageable and versionable than traditional IAC methods.
For Further Study
6. Linkerd - Service Mesh
Linkerd is an open-source service mesh for Kubernetes that provides features such as traffic management, service discovery, and observability. It uses a sidecar proxy for each service in a Kubernetes cluster, which allows for transparently adding features such as load balancing, traffic splitting, and monitoring without modifying the application code.
It also provides a simple and intuitive command-line interface (CLI) for managing and troubleshooting microservices.
For Further Study
7. Selenium - Automation
Selenium is a suite of tools for automating web browsers. It is used for automating web applications to test them. Selenium provides a set of libraries and interfaces for different programming languages such as Java, C#, Python, Ruby and JavaScript, allowing developers to write test scripts in the language of their choice.
Selenium can interact with a web page, just like a human user would, by clicking buttons, filling out forms, and navigating pages.
It can also be used to automate repetitive tasks, scrape data from websites and automate browser-based games.
For Further Study
8. Thanos - Monitoring
Thanos is an open-source project that was designed to provide a highly available Prometheus setup with long-term storage capabilities. It is a set of components that can be added to a Prometheus deployment to provide features such as horizontal scalability, data replication, and data retention.
Thanos is built on top of Prometheus and provides a global query view across all Prometheus instances, making it easy to analyze and troubleshoot issues across a large, distributed system.
For Further Study
9. Grafana - Data visualization
Grafana is an open-source data visualization and monitoring platform that allows users to create and share dashboards and panels. It supports various data sources including Prometheus, InfluxDB, Elasticsearch and many more. It is mainly used for visualizing time series data for infrastructure and application analytics.
With Grafana, users can create and share dynamic and interactive dashboards that can display data from multiple sources in a single view. It also supports alerting, so you can be notified when certain conditions are met.
For Further Study
10. Trivy - Security
Trivy is a simple and comprehensive vulnerability scanner for containers and other types of software packages. It is an open-source tool developed by Aqua Security, which is designed to be fast and easy to use. Trivy can scan images in a container registry such as Docker Hub, Quay, and GCR or local images stored on the host.
It uses a local vulnerability database that is updated regularly, and it can scan for vulnerabilities in the operating system, as well as in the application packages and libraries.
Trivy can also be integrated with CI/CD pipelines, allowing for automated vulnerability scanning as part of the build process.
For Further Study
Conclusion😊
It's worth noting that the DevOps landscape is constantly evolving, so it's important to keep an eye on new and emerging tools as well.
These tools are commonly used in the DevOps field and are considered industry standards, but the choice of tools will depend on the specific needs of your organization and the technology stack in use.
Support me ~ If you enjoyed this blog post then please like, comment and Share this with your friends and colleagues.