This is what our specialists can do for you!
Our specialists will accompany you from start to finish and support you with their many years of experience and expertise. Even after successful implementation, our specialists will continue to be there for you to support you in ongoing operations, make adjustments, promote further development and offer training. Our specialists offer you the following:
- Consulting & conception
- Implementation
- Operation of the infrastructure
- Further development & training (remote or on-site)
With our DevOps specialists, you can use our extensive knowledge of the collaboration between software development and infrastructure for your project or company.
Our expertise
Our specialists have extensive experience in various software architectures and development processes. As a hosting provider, we also have a great deal of expertise in the area of infrastructure architecture.
Support for you
You can decide whether we should only advise you or get directly involved in your project with our specialists. The advantage for you is that you do not have to set up or maintain your own DevOps resources in your company.
Your project, your code (IaC)
It is important to emphasize that the code developed for you (IaC) belongs to you. You are free to decide whether you want to work with us on a long-term basis or build up resources internally. We support you with documentation and training.
The right infrastructure for your project
Depending on the nature of your project, we will be happy to advise you on the right infrastructure. We offer solutions for the entire spectrum, from smaller environments such as individual VMs to highly complex server infrastructures in your data center or in the cloud. if you already have an infrastructure, we will be happy to take over its operation and further development for you.
Quality & security
We attach great importance to high standardization of code quality (CI & CD) and security. In addition to automated tests and monitoring, we also keep an eye on your domain/infrastructure and adapt it to various threat scenarios.
Selection of topics that our DevOps specialists cover for you:
- Continuous Integration (CI) & Continuous Delivery (CD)
- Microservices
- Infrastructure as Code (IaC)
- Service monitoring
- Automated tests
- Agile software development
- ...
If you have any questions about our services or the individual subject areas, please feel free to contact us. We have also explained the terms again for you in the "DevOps in a nutshell" section.
DevOps in a nutshell:
Continuous Integration (CI) and Continuous Delivery (CD) are practices in the field of software development and DevOps that aim to optimize the development and deployment process.
Continuous Integration (CI):
- CI refers to the practice of regularly integrating code changes into a shared repository.
- Developers frequently send small code changes to the version control system.
- A CI server monitors the repository and performs automated builds and tests to ensure that new changes do not affect existing functionality.
- CI helps to identify conflicts at an early stage and ensures that the code remains in a consistent and executable state.
Continuous Delivery (CD):
- CD extends the idea of CI and refers to automatically deploying software to different environments, including production environments.
- After successful integration and testing in the CI process, the software is automatically prepared for deployment.
- The CD process can continue through to automated deployment in production environments, reducing time-to-market.
- CD enables reliable and repeatable deployment of software.
In summary, CI and CD promote automation, consistency and efficiency in the software development lifecycle, making development teams more agile and able to deliver high-quality software faster and more reliably.
Microservices are an architectural method for the development of software applications in which an application is divided into smaller, independent services.
Each of these services, also known as microservices, fulfills a specific function and can be developed, implemented, scaled and updated independently of each other. This decentralized structure enables improved agility, flexibility and scalability in software development, as changes in one microservice have no impact on other parts of the application.
By using microservices, development teams can react more quickly to changes, facilitate maintenance and improve the overall reliability and scalability of the application.
Infrastructure as Code (IaC) is a method in software development and DevOps in which the infrastructure required for the provision and execution of applications is described and managed using dedicated scripts or configurative definitions.
Instead of using manual processes or graphical user interfaces, the infrastructure is defined with code that is stored and managed in version control systems.
By using IaC, DevOps teams can automate the infrastructure, ensure repeatable and consistent deployments and respond more quickly to changes.
This enables more efficient management of resources, improved scalability and the ability to treat infrastructure like application code, reducing the gap between development and operations (Ops). IaC contributes to the agility, security and reliability of IT infrastructures.
Service monitoring refers to the preventive monitoring and analysis of IT services to ensure that they function efficiently and reliably. In the DevOps world, service monitoring plays a crucial role in ensuring the availability, performance and health of applications and services. Here are some key aspects:
- Real-time monitoring: continuous, real-time monitoring to detect and respond to issues immediately. This includes aspects such as server performance, network connectivity, database response times and more.
- Error detection and correction: Identification of errors and faults in a service. Service monitoring enables proactive troubleshooting before users feel any negative impact.
- Performance monitoring: Tracking the performance of applications and services to identify bottlenecks or inefficient use of resources. This helps to optimize the infrastructure and ensure efficient use of resources.
- User experience: Monitoring the user experience to ensure that services meet user expectations. This can include monitoring load times, response times and other user-relevant metrics.
- Log analysis: Analyzing logs and events to identify potential issues and understand behavior patterns. This is important to gain deeper insights into the causes of problems.
- Alerts and notifications: Setting up alerts and notifications to quickly inform teams of potential issues and enable a rapid response.
Service monitoring helps to ensure the availability, reliability and performance of IT services, which is critical to ensuring a positive user experience and minimizing downtime.
Automated testing is a practice in the field of software development and in the DevOps approach, where specialized software tools are used to perform repeatable and predictable tests for software applications. The purpose of automated testing is to ensure the quality and stability of software during the development process.
In summary, automated tests include:
- Automation of test cases: The definition and implementation of test cases that can be automatically executed by testing tools. These test cases check various aspects of the software, such as functionality, performance, security and usability.
- Repeatability: The ability to run tests repeatedly to ensure that existing functionalities continue to work as expected and to ensure that new changes do not have undesirable effects.
- Speed and efficiency: Automated tests can be executed faster than manual tests, increasing the speed of development. This is particularly important in agile and DevOps environments where frequent code changes take place.
- Early detection of errors: By integrating automated tests into the continuous integration process, errors and problems can be identified and rectified early in the development cycle.
- Regression tests: Automating regression tests makes it possible to ensure that existing functions continue to work correctly after code changes.
- Scalability: Automated tests can be easily scaled to handle growing code bases and complex applications.
Automated testing helps to improve software quality, reduce development time and ensure application reliability by providing an efficient way to check software for errors and unwanted behavior.
Agile software development is an iterative and collaborative approach to software development that aims to respond flexibly to changes, better meet customer needs and achieve greater productivity in the development process. Here are the core principles of agile software development:
- Iterative development: the development process takes place in short, repeatable cycles known as sprints. Each sprint includes the planning, development, testing and deployment of parts of the software.
- Flexibility and adaptability: Agile methods emphasize adaptability to changing requirements. Teams can respond to customer feedback during the development process and adjust the direction of the project.
- Collaboration and communication: Strong collaboration within the development team and with stakeholders to foster a shared understanding of requirements. Communication is seen as critical to success.
- Incremental delivery: Software is delivered in incremental steps, enabling early and regular deliveries of working software. This allows customers to see added value early on.
- Self-organizing teams: Agile teams are self-organizing and autonomous. Team members take on different roles and responsibilities to ensure efficient collaboration.
- Continuous improvement: Regular reviews and reflections after each sprint are aimed at continuously improving the development process. This is often referred to as a retrospective.
- Customer focus: The needs and feedback of the customer take center stage. Agile software development strives to deliver software that ensures the highest possible level of customer satisfaction.
Agile software development promotes an adaptive and responsive approach that is particularly well suited to projects where requirements can change quickly. Agile methods such as Scrum or Kanban are often used in DevOps environments to enable efficient software development and delivery.
