
DevOps in practice: How to redefine collaboration
Estimated reading time: 17 minutes

DevOps connects development and operations, enabling software to be delivered faster, more efficiently and with greater stability. Learn how the DevOps lifecycle works, which tools and methods you can use, and how this approach benefits your teams and processes.
What is DevOps? – A definition
DevOps is a modern IT concept that links software development and operations. The DevOps approach makes processes more efficient and speeds up software delivery. Instead of working in isolated teams, DevOps promotes close collaboration between developers and IT operations teams. The aim is to optimise the entire software development cycle – from planning and programming to testing and deployment to operation and monitoring.
Through automated processes and an agile way of working, companies can increase their productivity and create more reliable operating procedures, as well as improve the quality and stability of their software. DevOps is therefore not just a technical approach, but also a cultural change that focuses on communication, collaboration, automation and continuous improvement.
How does DevOps work? An overview of the DevOps lifecycle
DevOps is based on an iterative and continuous process that covers the entire software development and deployment cycle. The DevOps lifecycle consists of eight central phases that are closely interlinked. The insights gained in the later phases flow directly into the next planning round, ensuring that the software is continuously improved. This iterative approach is what makes the DevOps method so effective and valuable.
1. Planning
During the planning phase, the software requirements are recorded in detail and prioritised in order to establish a clear understanding of the project objectives. User needs, technical conditions and potential challenges are analysed. The aim is to create a sound and flexible basis for the subsequent development phases. Development and operations teams work together right from the planning phase to ensure that not only the software functionalities but also the infrastructure requirements are optimally taken into account.
Infrastructure as Code (IaC) plays an important role here. During the planning phase, it is determined how the infrastructure can be automatically provisioned and managed to create a consistent and scalable environment. Care is also taken to ensure that the infrastructure is optimally aligned with the development and test environments to avoid integration problems later on.
Another crucial point is the right team setup. Interdisciplinary, cross-functional teams consisting of developers, operations experts and security specialists promote collaboration and improve knowledge transfer. Agile methods such as Scrum or Kanban support iterative planning, which enables teams to react quickly to changes and continuously monitor project progress.
Regular meetings such as sprint planning or daily stand-ups ensure that all team members are on the same page and work together efficiently. The insights and lessons learned from the later phases flow directly into the next planning round, so that the software is continuously improved.
2. Develop
The development phase encompasses the actual programming of the software and is one of the key stages in the DevOps lifecycle. Here, developers create code that is structured in small, easily understandable units. Working closely with the operations teams, developers ensure that the code is not only functional but also optimised for the target environment. This approach ensures clarity and maintainability. Modern development practices such as pair programming and test-driven development (TDD) are used to maintain high code quality from the outset.
Version control systems such as Git play a crucial role in this phase, as they enable seamless tracking of code changes and facilitate teamwork. Branching strategies such as GitFlow allow multiple developers to work on different features simultaneously without getting in each other's way. Code reviews and merge requests also ensure that all changes are checked for errors and potential improvements before they are incorporated into the main code. The development phase also benefits from the integration of static code analysis tools. These identify weaknesses and optimisation opportunities at an early stage, resulting in more efficient and stable software.
The use of IaC is also an important aspect in this phase. This approach makes it possible to define the IT infrastructure via code and deploy it automatically. The result is consistent and scalable management of the environments. Tools such as Terraform support this process by enabling the automation of infrastructure as a service.
3. Build
In this phase, the code generated by the developers is compiled and assembled into a runable software product. This process comprises the following phases:
- Compiling: The source code is translated from a programming language into machine code so that the computer can execute the program.
- Linking: The various code files and libraries are linked together so that the program can use all the functions and resources it needs.
- Packing the code: The finished code is combined into an executable format, such as an executable file or a container, for deployment.
- Integration of external dependencies: External libraries, frameworks or tools required by the program are integrated to ensure functionality.
The goal is to create a stable and executable software version that can be tested and deployed in further phases. DevOps engineers automate the build process with tools such as Maven or Gradle. They ensure that the process is seamlessly integrated into the CI/CD pipeline, thus avoiding manual errors. They also monitor the builds to identify potential problems early on.
4. Testing
Testing plays a central role in the DevOps process, as it ensures the quality and reliability of the software. Various testing methods are used, which come into play at different stages of the development cycle.
While unit tests check individual code components in isolation, integration tests simulate the interaction of several modules and ensure that all functions work together correctly. Acceptance tests, on the other hand, check whether the software meets the defined requirements and functions without errors from the user's point of view.
In addition, load testing and penetration testing (pentests for short) play an important role. Load testing simulates high system loads to check the scalability and stability of the infrastructure under real conditions. Penetration testing reveals potential security vulnerabilities by carrying out targeted attacks on the software and infrastructure.
The process for all types of testing is continuous and iterative: every code change is followed by tests. By integrating automated tests into the entire development process, the software is not only of higher quality, but also more stable and faster to deploy.
5. Publish
After successful testing, the software is prepared for rollout. This phase involves the use of continuous integration (CI) and continuous deployment (CD) pipelines, which automate and accelerate the release process.
An important part of this phase is staging. Before the software is finally deployed in the production environment, it goes through various environments such as development, test and staging environments. These intermediate steps ensure that software and infrastructure increments are tested under realistic conditions. This increases the stability and reliability of the release.
CI enables the continuous integration of code changes into the main development line, allowing potential conflicts to be identified and resolved at an early stage. CD ensures that the tested software is automatically delivered to the target environment. This significantly speeds up the release process and shortens the time to market.
6. Deploy
During the deployment phase, the software is successfully transferred to the target environment and rolled out. This is done in small steps or incremental updates. This minimises risks and reduces the likelihood of failures. At the same time, the foundation is laid for smooth deployment of the software in production, and the team is able to respond quickly to any issues that arise.
7. Operate
In this phase, the software is run and managed in the live environment. Here, applications are not only continuously monitored, but their availability, performance and security are also guaranteed. Monitoring and logging are crucial for monitoring ongoing operations, analysing resource consumption and identifying potential problems at an early stage. In addition, operations include regular system maintenance, installing updates and patches, and scaling the infrastructure to meet changing requirements. Automated processes and infrastructure management reduce manual effort.
‘You build it, you run it, you fix it’ – this DevOps guiding principle is crucial here. The team that developed the software is also responsible for its operation and troubleshooting. This close integration of development and operations is the key to the quality, reliability and stability of the software in the long term.
8. Monitoring
The monitoring phase completes the DevOps lifecycle. Here, performance data is collected and analysed in order to derive improvements. The focus is on continuously checking and optimising the availability and performance of the software. Monitoring allows bottlenecks or sources of error to be identified and rectified at an early stage before they affect operations or the user experience. Regular evaluation of the data helps to identify trends and make necessary adjustments to increase efficiency and stability.

Transform your IT from a cost centre to a profit centre – with DevOps consulting.
The most important DevOps methods and tools
To successfully implement the DevOps approach, teams use various methods and tools that optimise the development and operations process. Here is an overview of the most important approaches:
- Pair Programming: Pair Programming is a collaborative development method in which two developers work together on a ticket. One writes the code (driver) while the other checks it in real time (observer). This method not only improves code quality, but also promotes knowledge transfer within the team and speeds up problem solving.
- Continuous Integration (CI): Continuous Integration and Continuous Delivery are among the core principles of DevOps. With CI, code changes are regularly integrated into a shared repository. This helps to identify errors and integration problems at an early stage.
- Continuous Delivery (CD): CD extends CI by automatically testing and deploying software after successful integration. Tools such as Azure DevOps, GitLab and GitHub enable a fast, continuous and secure release process. They form the basis for faster software release.
- Continuous learning: Teams continuously acquire new knowledge and expand existing skills. This is achieved through regular training, feedback cycles and the exchange of best practices. Continuous learning ensures that teams can respond flexibly to new technologies and challenges.
- Infrastructure as Code (IaC): Infrastructure as Code is an approach in which the IT infrastructure is described by code and deployed automatically. This approach can be used in various phases of DevOps. IaC enables consistent, repeatable and scalable management of environments. With IaC, developers and operations teams can version infrastructures and respond quickly to changes. For example, developers use the Terraform tool to define complete infrastructures as code, which are then rolled out automatically. The result: less error-prone and manual effort.
- Microservices: This architectural approach divides applications into small, independent services that are developed, tested and deployed separately. This improves scalability and facilitates maintenance. Each microservice is self-contained and can be updated or replaced independently of other parts of the application.
- Version control: Version control is a method for managing changes to code. With the help of version control tools such as Git, teams can work in parallel, track code changes and revert to an earlier state if necessary. A clear history makes collaboration and troubleshooting within the team much easier.
- Automation: Automation is the backbone of DevOps. It is used in software delivery, testing, infrastructure management and monitoring. Automated processes reduce sources of error, speed up workflows and increase efficiency.
- Continuous monitoring: Continuous monitoring describes the constant monitoring of applications and infrastructures to ensure performance, security and availability. Data is collected and analysed so that problems can be identified early and countermeasures taken quickly. Monitoring tools include the ELK Stack (consisting of Elasticsearch, Logstash and Kibana), Prometheus, Grafana and cloud provider solutions.
- Fail Fast, Fail Often: The principle of ‘Fail Fast, Fail Often’ promotes rapid and continuous validation of ideas and code. Errors are detected early on, allowing them to be corrected at low cost. This method motivates teams to boldly test new approaches, learn continuously and develop quickly.
Good to know: Agile software development is not a DevOps method, but a separate approach. Agile optimises the development process through iterative and flexible methods. DevOps additionally integrates the operations teams and automates processes for fast and reliable software delivery. By combining both approaches, companies can make their software development and delivery processes more efficient and respond more quickly to market requirements.
How you benefit from the DevOps approach
DevOps offers numerous advantages: faster software delivery, higher quality, more efficient teamwork and reduced downtime. The DevOps approach also enhances security and helps companies respond flexibly to market changes. We have compiled a list of the most important advantages for you.
Faster development and deployment
DevOps significantly accelerates development and deployment processes. Close collaboration between development and operations teams and the automation of workflows significantly shorten development cycles. Instead of large, infrequent updates, smaller changes are implemented and delivered continuously. This enables companies to quickly implement new features, customisations and innovations.
Continuous integration (CI) and continuous delivery (CD) ensure that software is tested faster and delivered reliably. The reduced time to market gives companies a clear competitive advantage and helps them respond quickly to market changes and customer needs.
Higher software quality and reliability
The integration of continuous testing and monitoring ensures stable and secure releases, while continuous integration ensures that errors are detected and corrected at an early stage. This significantly improves software quality and reduces the likelihood of unexpected problems or failures in the production environment.
More efficient collaboration and communication
DevOps breaks down silos and promotes collaboration between development and operations teams, which traditionally work in isolation from one another. The two teams share responsibility and both have the necessary expertise. This improves efficiency, as less time is needed for handing over tasks and making subsequent adjustments. Fast feedback and transparent processes increase productivity and enable teams to develop code that is specifically optimised for the environment in which it will be executed.
This close collaboration creates clear communication channels and increases job satisfaction within the teams. In addition, the greater involvement of all those involved in the development process leads to lower staff turnover. However, it should not be forgotten that DevOps can also meet with resistance, as development teams have to take on additional tasks.
Good to know: ‘You code it, you run it’ is a core principle of DevOps, meaning that developers are not only responsible for writing code, but also for its operation. They take charge of the entire lifecycle, from development to maintenance. This promotes quality, personal responsibility and rapid problem solving. This principle connects development and operations, which is a central goal of DevOps.
Reduced downtime and faster problem resolution
Proactive monitoring and automated processes detect and resolve problems early on, thereby reducing downtime. A key advantage is that teams can diagnose and resolve problems more quickly, which reduces the mean time to recover (MTTR). This ensures system stability and availability. Seamless communication within teams and regular reviews enable unplanned work to be better anticipated and coordinated.
In addition, tracing and alerting play a central role in rapid problem resolution. Tracing enables detailed tracking of requests and processes within the application to quickly identify sources of errors. Alerting ensures that teams are notified immediately of unusual system behaviour or critical errors. This enables rapid intervention and significantly minimises potential downtime.

Cloud-Kosten unter Kontrolle
Quick Wins & strategische Hebel für IT-Führungskräfte
Increased security and compliance
Integrating security aspects into the entire DevOps development process achieves increased security and compliance. The DevSecOps approach ensures that security checks are part of the development process from the outset and are not added as an afterthought. Automated security and compliance checks, such as vulnerability checks in build pipelines or penetration tests, help to identify and close security gaps at an early stage.
Transparent workflows and the use of infrastructure as code also help to minimise sources of error and ensure that the infrastructure is provided in a secure and traceable manner. Overall, DevOps enables reliable data protection and compliance with legal regulations and security standards through automation and proactive security measures.

Transform your IT from a cost centre to a profit centre – with DevOps consulting.
Challenges and solutions in the introduction of DevOps
Implementing DevOps presents companies with various challenges, both cultural and technical. We recommend that you proactively address these challenges and apply best practices. This is the only way to successfully introduce DevOps in your company and benefit from the numerous advantages this method offers.
Typical challenges in the DevOps process
The introduction of DevOps often brings specific challenges that companies must recognise and address to ensure successful implementation. These include:
- Resistance to change: Introducing DevOps requires close collaboration between development and operations teams, which means a significant cultural shift. If both teams have previously worked in isolation, DevOps is about breaking down silos and establishing a culture of collaboration. In companies with traditional structures, this can meet with resistance from employees.
- Dealing with legacy systems: Existing, often outdated IT systems are still widespread in many companies. These legacy systems are difficult to integrate because they are often not designed for modern DevOps processes or automation. Here, companies must migrate, modernise or find compromise solutions step by step to ensure the stability of the existing infrastructure.
- Lack of expertise: DevOps requires a deep understanding of automation tools and techniques. Companies with a workforce that mainly has traditional IT skills may find it difficult to develop these new skills quickly.
- Security risks in automated processes: Automation increases efficiency, but it can also introduce new security risks. For example, incorrectly configured pipelines or insufficiently tested scripts can lead to security vulnerabilities. To identify and fix vulnerabilities early on, it is crucial to integrate security checks into the automation process from the outset.
- Unclear responsibilities: When teams don't know who is responsible for specific tasks, processes come to a standstill.

Solutions and best practices
Implementing DevOps requires a comprehensive change in corporate culture and structure. Structured change management is important for making this transition a success. Consider the following aspects to make the transition to DevOps a success and ensure that everyone involved supports the change:
- Promote cultural change: Create an environment within the company that supports collaboration and open communication between teams. Introduce employees to new ways of working gradually. Training courses, workshops and success stories help to explain the added value of DevOps.
- Gradual introduction: Start with pilot projects. These allow you to test DevOps in small teams, gain experience and gradually scale successful approaches later on. This makes the transition easier for the entire company.
- Implement DevSecOps: Security must be an integral part of the DevOps process from the outset. Automated security checks and continuous compliance controls minimise risks.
- Standardise the tool landscape: Choose a unified suite of tools that meets your company's requirements and ensure that all teams use them. This approach helps to manage the complex transition. The result is greater efficiency and fewer errors.
- Clear roles and responsibilities: Define tasks and responsibilities transparently. This ensures that all team members know what is expected of them.
- Measuring success with KPIs: By introducing clearly defined key performance indicators (KPIs), you can measure the success of DevOps projects and identify potential for optimisation.

How to maintain control over your data with cloud security.
FAQ on DevOps
Where is DevOps used?
DevOps is used in many areas and industries. It is particularly useful where fast development cycles, stable infrastructures and high scalability are required. These industries include:
- Technology companies: For the development and delivery of software products, cloud services and platforms.
- Financial sector: For stable, secure and efficient banking and payment systems.
- E-commerce: To ensure fast updates and a smooth customer experience.
- Telecommunications: For managing and scaling digital services and network infrastructures.
- Healthcare: For developing secure applications for patient data and digital healthcare solutions.
- Automotive industry: Especially for software for autonomous vehicles, connected systems and production optimisation.
- Public sector: For the digitalisation of administrative processes and the provision of online services.
Which programming languages are particularly relevant for DevOps?
Programming languages that support both automation and scripting are particularly important for DevOps. These include, above all: However, the introduction of DevOps is language-independent. It offers advantages in all programming languages, including well-known ones such as Java, C# and YAML.
- Python: Due to its versatility and simplicity, Python is often used for automation, scripts and infrastructure management.
- Shell scripting (Bash, PowerShell): Indispensable for automation tasks and managing server environments.
- Go: Due to its performance and ease of compilation, Go is particularly well suited for developing tools and microservices.
- JavaScript (Node.js): Often used for backend scripts and server-side applications in DevOps pipelines.
- Ruby: Popular for automation tasks and frameworks such as Chef or Puppet.
What is the difference between DevOps and agile software development?
Agile development optimises the software development process and improves collaboration within development teams. DevOps goes one step further: it integrates development and operations teams, automates processes and thus accelerates software delivery while maintaining high stability and reliability.
What makes a good DevOps team?
A good DevOps team is interdisciplinary and consists of developers, DevOps engineers, system administrators, and QA and security experts. It combines technical expertise with a collaborative mindset. The goal is to streamline development and operational processes through automation, continuous improvement, and close collaboration.
What are the responsibilities of a DevOps engineer?
A DevOps engineer automates CI/CD pipelines, manages infrastructure as code (IaC), monitors systems, analyses logs and solves deployment problems. They integrate security measures (DevSecOps) and promote collaboration between development, operations and quality assurance (QA). The aim is to optimise processes, ensure stability and accelerate software delivery.
Conclusion: Achieving sustainable success with DevOps
DevOps is a modern approach that brings development and operations together to deliver software faster, more reliably and more efficiently. The DevOps methodology combines automation, agile methods and close collaboration to break down silos and optimise processes. The iterative DevOps lifecycle – from planning to development to monitoring – ensures continuous improvement. With methods such as continuous integration, continuous delivery and infrastructure as code, DevOps increases efficiency, quality and teamwork. DevOps is not just a method, but a transformative corporate culture.
In the long term, DevOps offers you the opportunity to bring innovative products to market faster, minimise risks and build a stable, scalable IT infrastructure. With a clear focus on team culture, state-of-the-art technology and consistent integration of security (DevSecOps), DevOps becomes a catalyst for sustainable business success. With DevOps, you strengthen your competitiveness and lay the foundation for an agile and resilient organisation.

Maximilian Schaugg has been working on cloud projects at MaibornWolff since July 2018. He specialises in the design, implementation and operation of cloud and container solutions in existing and new IT infrastructures. An important part of his work is focusing on the needs of his customers and taking a holistic approach to successfully completing projects from start to finish. In recent years, he has focused particularly on cloud migration, cloud consulting and cloud platform development, where he has been able to apply and further deepen his in-depth knowledge, especially in the critical areas of security, cost efficiency and governance.