How DevOps differs from traditional development

Learn what DevOps is and how you can use it, and apply it's methods to other teams.

by Pete
Published: Updated: 6 minutes read

DevOps is a software development and delivery approach that aims to bridge the gap between development and operations teams. It aims to improve collaboration and communication between these teams and to allow for faster and more frequent software releases.

One key difference between traditional development and DevOps is the focus on automation. In traditional development, there is often a hand-off between development and operations, where the development team hands over the code to the operations team to deploy and manage. In DevOps, there is a focus on automating as much of the software delivery process as possible, from building and testing code to deploying and monitoring applications. This allows for faster and more reliable software releases.

Another difference is the focus on collaboration and communication. In traditional development, there is often a separation between development and operations, with different teams working in silos. In DevOps, there is a focus on bringing these teams together and fostering a culture of collaboration and communication. This can help to reduce conflicts and improve the efficiency of the software development process.

Finally, DevOps emphasizes the importance of measuring and monitoring the performance of applications. In traditional development, there may be less emphasis on monitoring and measuring the effectiveness of the software. In DevOps, there is a focus on collecting data and using it to continuously improve and optimize the software development process.

Overall, DevOps represents a shift towards a more collaborative, automated, and data-driven approach to software development and delivery.

Data Collection

Collecting data in the context of DevOps refers to the process of gathering information about the performance and usage of applications. This can include data about the infrastructure on which the applications are running, such as the CPU and memory usage, as well as data about the applications themselves, such as the number of errors or the response time of the application.

There are a variety of tools and techniques that can be used to collect data in a DevOps environment. These can include application performance monitoring tools, log analysis tools, and infrastructure monitoring tools.

The goal of collecting data in a DevOps environment is to use this information to improve the performance and reliability of applications, as well as to optimize the software development process. By gathering data about how applications are performing in production, teams can identify and address issues more quickly, and can use this information to continuously improve the quality and reliability of the software.

Data Collection tools and techniques

There are many tools and techniques that can be used to collect data in a DevOps environment. Here are a few examples:

  1. Application Performance Monitoring (APM) tools: These tools allow teams to monitor the performance of applications in real-time, providing data on things like response time, error rates, and transaction times. Examples of APM tools include New Relic and AppDynamics.
  2. Log analysis tools: These tools allow teams to analyze log files generated by applications and infrastructure in order to troubleshoot issues and identify patterns. Examples of log analysis tools include Splunk and Elastic Stack (formerly known as ELK).
  3. Infrastructure monitoring tools: These tools allow teams to monitor the performance of the infrastructure on which applications are running, including things like CPU and memory usage, network performance, and disk utilization. Examples of infrastructure monitoring tools include Nagios and Zabbix.
  4. User feedback: Teams can also gather data from users through feedback mechanisms, such as surveys or customer support channels. This can provide valuable insights into how users are interacting with the application and any issues they may be experiencing.

These are just a few examples of the types of tools and techniques that can be used to collect data in a DevOps environment. The specific tools and techniques used will depend on the needs and goals of the team.

Can DevOps benefit from Agile Methodologies?

DevOps and agile development are both approaches that aim to improve the speed and efficiency of the software development process. Both approaches place a focus on collaboration, continuous delivery, and rapid iteration. As a result, DevOps can benefit significantly from an agile approach.

One way that DevOps can benefit from agile is through the use of agile methodologies, such as Scrum or Kanban, to manage the software development process. These methodologies provide a framework for teams to work collaboratively, prioritize work, and deliver software in short iterations.

Another way that DevOps can benefit from agile is through the use of agile principles, such as the emphasis on continuous delivery and the importance of delivering value to customers. These principles can help DevOps teams to focus on delivering high-quality software quickly and efficiently.

Finally, agile approaches place a strong emphasis on collaboration and communication. This can be particularly beneficial in a DevOps environment, where there is a focus on bringing together development and operations teams. By fostering collaboration and communication, agile approaches can help DevOps teams to work more effectively and efficiently.

Is DevOps useful for Infrastructure Teams?

DevOps can also be used by infrastructure teams. DevOps is a software development and delivery approach that emphasizes collaboration and communication between development and operations teams, and aims to allow for faster and more frequent software releases. While DevOps is often associated with software development, it can also be applied to infrastructure management.

In a DevOps approach, infrastructure teams can work closely with development teams to automate the deployment and management of infrastructure, using tools like configuration management software and infrastructure-as-code frameworks. This can help to improve the efficiency of the infrastructure management process and allow for faster and more reliable deployments.

Additionally, infrastructure teams can use the principles of continuous delivery and continuous improvement that are central to DevOps to optimize their processes and workflows. By collecting data and using it to continuously improve their work, infrastructure teams can become more efficient and better able to support the development and deployment of applications.

In Summary

Overall, DevOps can be a valuable approach for infrastructure teams looking to improve the efficiency and reliability of their work, and to better support the development and deployment of applications. additionally, the combination of agile methodologies and principles with a DevOps approach can help teams to deliver high-quality software faster and more efficiently.