DevOps is no longer a technology or methodology; it has become a culture now. Its major components are people, processes, and tools. While people and processes are important for maintaining uniformity, tools are responsible for delivering transformational initiatives. Implementing a paid tool for the DevOps environment may lead to a significant increase in costs. So, to cut down the expenses, let us explore some of the free source platforms.
1. GitLab
This DevOps platform is an open-source code repository that can plan, develop, secure, and operate software in a single application. It is free for individuals. It provides capabilities for each stage of the software development lifecycle. It is one of the most futuristic features for implementing DevOps practices.
It is written in Ruby, GO, and JavaScript.
Capabilities offered by the GitLab are:
- Resource management
- CI/CD
- Package management
- Distributed architecture
- Cloud support
GitLab allows you to host different development applications, versions, and chains. It also gives developers scope to inspect the code and roll it back to the stable version in case of unanticipated problems.
Value stream management, Agile management, and source code management are some of the use cases.
2. Prometheus
This open-source platform is majorly used for monitoring and alerting. It is managed by the Cloud Native Computing Foundation. Its ecosystem has components such as servers, client libraries, gateways, alert managers, and support tools. It is a default monitoring and alerting solution for Kubernetes container-based orchestration engine. Prometheus collects data about your application and infrastructure. The platform gathers little amount of data about many things to help in the understanding trajectory of your system.
Features of Prometheus are:
- Multi-dimensional data model
- Flexible query language
- Better visualization tools
- Supports service discovery or static configuration
No commercial flavour is available for Prometheus.
3. Terraform
It is an infrastructure as code software tool developed as HashiCorp. It helps in mitigating the problems of configuration drift. It is a platform-agnostic declaration coding tool that helps developers to configure infrastructure using high-level configuration language. It is compatible with different cloud providers like AWS, Microsoft Azure, Google Cloud Platform, etc.
Dependency graphs and state management are some of the features of the terraform. It can be part of the pipeline as code. Different strategies can be used to create and deploy applications in various cloud platforms. It provides a consistent CLI flow workflow to manage multiple cloud services.
It converts APIs into configuration files. You can write infrastructure code using these declarative configuration files. You can test run the infrastructure changes. These changes can be applied to various cloud providers after testing.
4. Ansible
It is an IT automation/configuration tool that provides cross-platform support. It is easy to use, secure, and reliable for safe adoption in an organization. It is the most suitable for deployment and rolling updates in release management activities. The point of differentiation from another configuration tool is it is agentless. It is written in Python, Ruby, Shell, & PowerShell.
Features of the ansible are:
- Distributed architecture
- Easy integration with Docker, Kerberos, LDAP, & other authentication management systems.
- Supports hybrid, on-premise, and cloud environment
5. Trivy
Trivy is an open-source yet simple and comprehensive vulnerability/misconfiguration scanner for containers. It detects vulnerabilities in OS platforms (Alpine, CentOS, etc), language-specific packages (Bundler, Composer, etc), Infrastructure as code (Kubernetes, etc). A software vulnerability is a flaw, loophole, or weakness present in software or operating system. Just install trivy and scan the specific target by just giving the image name of the container. It is because of these platforms DevSecOps has become easy to implement. It can be integrated with the pipeline as code that can be used to analyse docker images and publish the reports.
We have discussed some of the open-source DevOps tools present. They are many more tools to explore based on your requirement.
Please share your thoughts on open-source tools and technologies with us at contact.us@virtuetechinc.com.
