Our mission is to provide our customers DevOps and cutting edge technologies to unlock their business potential

Our approach in DevOps

It has become more and more important to bring new products and features to the market as soon as possible, but most businesses release new features only monthly or quarterly. One reason is that the deployment to production environments often involve numerous manual time-consuming and error-prone steps, as well as challenging handovers between departments and missing test automation.

Our goal is to automate the full delivery process from code check-in to deployment to the production environment. Releasing a new version should be possible at any time with the confidence of full automation.

  • Enterprise assessment and application assessments
  • Organisational and process optimisations as a basis for DevOps and CI/CD
  • Full focus on customer enablement
  • Delivery pipeline concept from development through to production
  • CI/CD pipeline implementation based on customer tool stack
  • Broad knowledge of best practices and market-leading tools
  • Monitoring, KPIs, and reporting along the whole process
  • Integration of test automation

Key to success

By automating development and operational steps that were previously carried out manually, we gain quality, flexibility, and time, including costs

Learn the secrets of the giants

We have a sound understanding regarding the technology beyond the performance of the IT of the following giants. We’re ready to share it even if you don’t need the full spectrum of the technology behind their performance.


1000+ Code release per day


11.7 Publishing new code every second in live environments


~50-60 thousand Android build per day

Meet the DevOps Landscape

- CI/CD – automated integration and deployment solutions

- Monitoring and Logging – meet the audit and maintenance demands of the newest software architectures

- Clouds – possibilites of moving systems to public cloud like AWS or Azure​​​​​​​

- IaC – no more lost environmental information, fast environment setup and reproduction​​​​​​​

- Microservice and Containerization – the state of the art, robust architecture of IT systems nowadays

How me measure high performance at Qualysoft

Time to market and Scalability

Outage frequency

Production error rate

Continuous integration (CI) and continuous delivery (CD)

CI/CD embodies a culture, set of operating principles, and collection of practices that enable application development teams to deliver code changes more frequently and reliably. The implementation is also known as the CI/CD pipeline. As a result a lot of previously manually executed actions by the operations team can be triggered and executed autonomously in a fully automated way.

Monitoring and logging

The quickly evolving technology landscape has increased the need for log management and observability across distributed systems and containers. Changes to how modern applications and services are designed, along with the capacity to build services using various development languages, have increased the need to collect, monitor, and trace data points across connected systems.The three pillars of observability are critical for DevOps to provide elastic and resilient services.

  • External Monitoring: helps check the health of your internal, external applications, and websites to check the “digital experience” of your users.
  • Metrics and Distributed Tracing: helps trace communications between applications distributed across systems/containers to identify errors and exceptions from your apps quickly.
  • Events and Logs: is the data that helps provide contextual information about events; it enables you to identify issues in the code when combined with information from the first two pillars.


Cloud Computing is the on-demand delivery of computing services such as servers, databases, networking structures and software over the internet. This is implemented by dedicated data centers and server farms whose services are available to many different customers/users, offering faster innovation, flexible resources, and economies of scale. Cloud computing services are based on a “pay-as-you-go” model which means that clients are only charged for the services they use.


Infrastructure as code, also referred to as IaC, is an IT practice that codifies and manages underlying IT infrastructure as software. The purpose of infrastructure as code is to enable developers or operations teams to automatically manage, monitor and provision resources, rather than manually configure discrete hardware devices and operating systems. Infrastructure as code is sometimes referred to as programmable or software-defined infrastructure.

Microservice and Containerization

Microservices is an architectural design for building a distributed application. Microservices break an application into independent, loosely-coupled, individually deployable services. This microservices architecture allows for each service to scale or update using the deployment of service proxies without disrupting other services in the application and enables the rapid, frequent and reliable delivery of large, complex applications.

Containers are a lightweight, efficient and standard way for applications to move between environments and run independently. Everything needed (except for the shared operating system on the server) to run the application is packaged inside the container object: code, run time, system tools, libraries and dependencies.

Shorter code release time

More frequent release and 7x less frequent errors compared to the low category

Faster recovery time

Request a free consultation with our experts!

Get in touch with us and find out why the introduction of DevOps methodology is essential for a 21st century organization. We’ll guide you through the following topics:

- What are the performance impacts that can be achieved by implementing DevOps exercises?
- What are the correlations of the present and future of the IT industry?
- How can a company identify its position in the market with a single quick measurement?
- What are the four key metrics that drive technology transformation and software service quality?
- What are the technologies and methodologies, and the relationships between them that are needed to improve quality?



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