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What are the best DevOps tools?

DevOps practices depend on efficient tools to assist teams quickly and effectively deploy and develop to their customers. These tools can automatize manual tasks, assist team members manage complicated environments and help keep engineers at the helm of the rapid speed of DevOps.

The DevOps workflow is made up of the following phases:

  • The planning for the next version of this product's development
  • The building blocks of the code
  • Testing and deployment into the environment of production
  • Delivering updates to products
  • Monitoring and recording software performance
  • Collection of customer feedback


Planning and tracking tasks tools are required to ensure the DevOps team is aware of what tasks are on the table and what's currently being completed, and if there is any risk of being behind in schedule. Tools such as Confluence and Jira aid DevOps teams create a seamless and efficient cycle of project management and ensure prompt delivery of products.

Delivery and build:

Developers need rapid deployment of development as well as testing environments and don't want to wait for repair when something is wrong. Docker containerization assures continuity across several development releases. It also offers an enduring development builds, test as well as production settings. Other popular tools used in this phase include Kubernetes Terraform, Chef, Ansible and Puppet.


Consider tools such as Jenkins, CircleCI, and GitLab CI that can reduce the amount of time and effort to testing without compromising quality of the code or the user experience.

Monitoring and logging of software:

When software is put into production, it has to be monitored in order to ensure its stable performance as well as increased satisfaction with customers. This process also includes the analysis of performance and logging the system's performance, triggering alerts to various issues, obtaining feedback from customers as well as other feedback. Tools to accomplish these tasks are Prometheus, Grafana, Elastic (ELK) Stack, Splunk as well as Sumo Logic.

DevOps methods

DevOps can be seen as the direct result from the agile approach to software development that was born out of the necessity to keep up with the ever-growing software development speed and throughput methods. The advancements in agile development have highlighted the necessity for a more comprehensive approach to the entire life process, which led to DevOps. If you are new to DevOps then consider taking DevOps Course.

"Agile development" is an umbrella term that covers a variety of iterative software development methods Many of them are incorporated into DevOps:

Scrum, a method of working in which individuals can tackle difficult adaptive problems while delivering products of most value.
Kanban is a method of managing the development of products, focusing on continuous delivery without overloading teams. development team. Similar to Scrum, Kanban is a method designed to allow teams to collaborate better.

Scaled Agile Framework (SAFe):

A set of organizational and workflow practices designed to assist enterprises in scaling agile and lean practices. SAFe is among many frameworks designed to solve the issues that arise when scaling beyond one team.

Lean development:

a application of manufacturing principles and practices into practices in the field of practices and principles of lean manufacturing to the software development domain. Lean provides an understanding of the framework of values, principles and values along with best practices , derived from past experience and support for agile companies.

Extreme Programming (XP):

a software development method that is designed to increase the quality of software and adaptability to evolving customer demands. XP encourages frequent releases within short development cycles that aim to increase productivity and establish checks at which new customer demands can be incorporated. Other aspects of extreme programming are programming in pairs or conducting thorough code reviews as well as unit testing of every code element and not programming features until they're needed and a flat structure for management that is simple and clear in code and anticipating changes to customer's needs as time goes by and the problem becomes more easily understood, and regular communication with customers.

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