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DevOps Services and Solutions.

Deliver a next-level quality software project with our DevOps experts and AIOps & MLOps capabilities


DevOps (Development and operations) can make an ideal addition to software development processes. Automation deals with inefficiencies and streamlines the workflow in IT environments. DevOps practices significantly enhance business operations and data processing by employing advanced technologies like blockchain, artificial intelligence, and machine learning.

Benefits of DevOps implementation in your project.

Why should you consider adding development and operations teams to your project?

Infallibility: DevOps tools enable the building of safe and scalable cloud services and infrastructure management. Open-source tools like Kubernetes facilitate both declarative configuration and automation. It has a rapidly growing ecosystem with widely available services, support, and tools. Combined with a public cloud, it creates an unbeatable environment. Distributed systems with Kubernetes containers enable working with different clouds and predict problems, allowing us to find solutions proactively.

Not only AWS: We listen to your needs regarding every aspect of the project. We adjust the best options and cloud services depending on the complexity, scale and budget. There is no single best DevOps services option, and our experts on board will find a flexible solution that checks all the boxes. They will also help you optimise the costs of a cloud environment that won’t strain resources.

Scalability: In the fast-growing and changing environment of IT operations, staying in place is not an option. That’s why our DevOps methodology always includes room for scaling up and down. Whether your project faces an influx of users or needs expansion to different markets, our DevOps engineers are ready to adjust. Kubernetes and other tools allow for easy scaling both up and down as needed.

Boosting workflow with AI: 
Utilising AI and machine learning allows for automation and building architectures that can process vast amounts of data faster. It also allows us to create automated microservice infrastructures. AI and ML help save time, money, and resources and speed up deployment and delivery. DevOps, empowered with these technologies, enables the creation of fast and reliable structures. AIOps and MLOps are cutting-edge technologies that leverage AI and ML to make DevOps even more powerful and efficient.

Use AIOps AI to automate and enhance IT operations, Artificial Intelligence for IT Operations transforms how IT infrastructures are managed, making them more responsive and adaptive to changes, significantly reducing downtime and improving service quality.

MLOps, focuses on streamlining and optimising the lifecycle of ML models, from development to deployment and maintenance. Machine Learning Model Operationalization Management ensures that ML models remain accurate and effective over time, facilitates seamless collaboration between data scientists and operations teams, and accelerates the deployment of ML models into production environments.

Our DevOps Services

How can we improve your IT operations?
Enhance your software development process with DevOps to make your projects more efficient and cost-effective.
1. Planning architectures
2. Cloud infrastructure management
3. Automation
4. Security management (DevSecOps)
5. Platform provisioning
6. Configuration management

1. Planning architectures

Plan your cloud infrastructures from scratch. Utilise our technology expertise in DevOps methodologies, like Infrastructure as Code (IaC), container orchestration and version control, to build infallible systems that will allow you to process data more efficiently. We can:

  • Design the cloud infrastructure
  • Aid with processing large data quantities
  • Faster data access (even down to a few minutes)
  • Deliver faster results

2. Cloud Infrastructure Management

It encompasses the strategies, practices, and tools used to automate and streamline the provisioning, configuration, operation, and maintenance of the physical, virtual, or cloud-based infrastructure that supports software development and delivery processes. The main goal is to enhance the infrastructure’s agility, efficiency, and reliability, enabling faster development cycles, more stable operating environments, and quicker response to market changes. Key features include:

  • Infrastructure as Code (IaC)
  • Configuration management
  • Containerisation and orchestration
  • Continuous Integration and Continuous Delivery (CI/CD)
  • Cloud services and platforms

The benefits of adopting infrastructure management include speed and flexibility, reliability and stability, efficiency, scalability, improved collaboration and enhanced security.

3. Automation

Our experts can build microservice architectures tailored to your software delivery needs. Then, it can be automated and uploaded to the cloud, where it can work efficiently and infallibly. Adding DevOps automation helps reduce the cost and strain on resources. We can automate cloud infrastructures through deployment with Kubernetes clusters.

  • Utilise the Infrastructure as Code (IaC) methodology, which allows us to have the entire infrastructure saved in a code that we made from scratch
  • Since we have the entire automation code, it allows you to recreate or completely redesign the infrastructure as necessary
  • Working with codes and different models enables us to version and scale your project more easily since we already have a groundwork to start with
  • Using IaC is helpful in case there’s a need for another iteration or retraction to a previous version

4. Security management (DevSecOps)

Thinking about security measures at the early stages allows you to deploy a complete product with a solid data security layer that might be essential in environments like medicine and eCommerce, where user data must be stored and processed securely.

DevSecOps, short for Development, Security, and Operations, integrate security practices within the DevOps process. It extends the DevOps approach by incorporating security measures and thinking from the outset of the development cycle. It aims to make security an integral part of the software development and deployment processes rather than treating it as an afterthought. Its core principles, including Security as Code (SaC), early integration, automation, continuous security, and feedback loop, allow for improved security management, faster time to market and enhanced compliance.

5. Platform provisioning

It involves setting up and preparing the infrastructure required for running software applications. This infrastructure can range from physical servers in a data centre to virtual machines (VMs) in a cloud environment. In a DevOps context, the focus is on automating this process as much as possible to ensure quick, repeatable, and consistent deployments across different environments. Critical aspects of platform provisioning include:

  • Infrastructure as Code (IaC)
  • Automation tools
  • Cloud services

6. Configuration management

It’s about maintaining the desired state of system configurations over time. It involves defining configurations for software and hardware components, ensuring that they are applied consistently, and managing changes to these configurations in a controlled manner. The key aspects include:

  • Version control
  • Automated configuration tools
  • Continuous monitoring
  • Compliance and security

Benefits of platform provisioning and configuration management

Speed and efficiency: automating provisioning and configuration tasks reduces manual effort, speeds up deployment cycles, and increases efficiency

Consistency and reliability: automation ensures that environments are provisioned and configured consistently, reducing the chances of errors and improving reliability

Scalability: automated processes make it easier to scale infrastructure up or down based on demand without increasing the risk of configuration errors

Improved collaboration: These practices encourage closer collaboration between development, operations, and security teams, leading to better alignment and understanding across these functions

Enhanced security: Organisations can improve their security posture by automating the enforcement of security configurations and compliance policies

Enhancing Devops with Deep Tech:
AIOps and MLOps.

Adopting machine learning and artificial intelligence for more efficient DevOps implementations

Significant technological advancements have come with artificial intelligence and machine learning. Integrating these technologies into different aspects of work and business processes has become a goal for many companies. With AIOps and MLOps, we can use predictive analytics to locate, examine, and create data. They can help enhance operational efficiency on multiple levels.


It combines machine efficiency, accuracy, and scalability with a human touch. Using big data analytics and advanced machine learning methods aids in optimising IT operations, including but not limited to automation, monitoring, event correlation, cause determination, anomaly detection, service desk, and more.

Why is it important? AI technologies can change operations processes and require sophisticated interpretation from different data sources. With the growing complexity of tasks and operations, AI techniques can help us manage and understand many new methods.


Machine learning operations aim to deploy and sustain ML models in the workflow processes with reliability and efficiency. MLOps can help us keep track of tweaked parameters and debug machine learning model(s) operation ML lifecycle. Utilising MLOps can also help adapt to real-time changes in data. Machine learning operations can play a significant role in businesses by increasing efficiency. Efficient model deployments can help significantly improve the functions and boost business processes.

How are developers different

Our DevOps engineers acquired certifications in Kubernetes and have years of experience using this tool.

Since we have many different clients, we have a broad understanding of their problems and can address them proactively rather than retroactively.

We can quickly deliver projects thanks to the good practices we have experience in and meticulously planned processes. We can enter our processes and the project quickly and efficiently.

We build continuous delivery pipelines from scratch, taking the burden off the programmers who would waste time doing it manually.

We can automate repetitive tasks and increase the team’s efficiency.

We introduce new expertise and knowledge to ensure that all elements are tied together and the services can communicate with one another.

We can fix problems outside of the developers’ scope.

We take responsibility for our work. If something doesn’t look quite right, we’ll find an effective way to make it right.

We use deep tech solutions in our DevOps practices – we don’t shy away from MLOps and AIOps. Our deep tech expertise allows us to utilise these technologies to the maximum.

DevOps consulting services and solutions

Our experience and expertise in DevOps allow us to understand the various needs and challenges clients and their projects face across industries like manufacturing, eCommerce, transport, logistics and mobility, healthcare, and MedTech. We’ll design solutions that seamlessly integrate with your existing workflows, ensuring a smooth transition and immediate impact on your operations. Our approach is tailored to address your needs, fostering a continuous integration and delivery culture (CI/CD) that accelerates time-to-market without compromising quality.

If you would like to partner with us and lay out a plan for the best implementation of DevOps practices in your business, let’s have a DevOps consulting services session and find the best strategies and solutions dedicated to your business needs.

See how we can help you implement DevOps solutions in your operations

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Different industries have different DevOps needs.

See how DevOps can benefit operations teams across different sectors

DevOps solutions and services for healthcare and HealthTech

In the medical setting, keeping the patient data safe is vital. That’s why the infrastructures require a higher level of security to prevent any leaks. DevOps can help ensure data safety by adding secure passwords, solid encryption or isolating the projects in an internal environment to guard them from external threats.

DevOps solutions and services for eCommerce

In eCommerce services, one of the most essential things is the stability of the online services so the customers can have a smooth experience. New deployments must take as little downtime as possible, and we can do it for you with next to none. Whether it’s migrating services or scaling, our DevOps experts have got you covered, saving you any breaks in delivery.

dedicated Kotlin team for ecommerce integration

DevOps solutions and services for FinTech

The financial sector requires both stability and safety of data, as leaks can mean huge losses. Our DevOps practices for FinTech involve using blockchain to store data before they’re used so that they can’t be modified in the process, allowing higher security and safety of sensitive elements.

DevOps solutions and services for AgriTech and agriculture

Operating in agriculture involves handling vast amounts of data, for example, regarding crop yields. This data is often displayed on maps. DevOps can help ensure the stability of data shown on maps and ensure that all the details included and unveiled while zooming the maps are stable and extracted from databases.

Internet of Things in AgriTech

DevOps solutions and services for transport and logistics

Transport and logistics are dynamic sectors that are prone to changes. That’s where DevOps can help construct the microservice architecture for handling interdisciplinary data. Our experts can build a reliable architecture that can take peak hours and is easily scalable for customer influx or market expansions.

Technology trends in the transportation

DevOps tools and technologies.

What makes our DevOps tick?

Docker and Kubernetes expertise

One of our team’s strong suits is documented expertise with tools like Kubernetes and Docker. Years of experience with Kubernetes containerisation and work with our clients allowed us to work with these tools and build complex service and microservice architectures.

DevOps for Azure Kubernetes Service (AKS)

One of our team’s strong suits is documented expertise with tools like Kubernetes and Docker. Years of experience with Kubernetes containerisation and work with our clients allowed us to work with these tools and build complex service and microservice architectures.

Best DevOps practices for software development.

What makes good DevOps even better

Continuous integration and continuous delivery

Continuous Integration (CI) and Continuous Delivery (CD) lie at the heart of DevOps, facilitating automated code integration and deployment to streamline software development and release processes. By embracing CI/CD, you can achieve higher efficiency, reduced errors, and faster time-to-market, ensuring that software updates are delivered to users swiftly and securely.

Automated testing

Automated testing in DevOps plays a critical role in ensuring software reliability and quality by enabling rapid, repeatable validation of each development increment. This automation accelerates the feedback loop for developers and significantly reduces the likelihood of bugs reaching production, enhancing the overall efficiency and security of the software delivery process.

Continuous monitoring

Continuous monitoring is a pivotal practice that ensures real-time oversight of applications and infrastructure, enabling teams to detect and address issues proactively. This approach minimises downtime by identifying potential problems before they affect users and provides valuable insights for optimising performance and security, thus supporting a seamless and resilient software delivery lifecycle.

Infrastructure as Code (IoC) approach

DevOps’s Infrastructure as Code (IaC) approach changes infrastructure management by treating it as software—using code to automate the setup, configuration, and maintenance of hardware and software environments. This methodology enhances consistency, reduces manual errors, and speeds up deployment processes, enabling teams to manage complex environments efficiently and scale operations seamlessly with minimal effort.

What other services does provide?

We offer more than just DevOps – a range of software and deep tech services. Contact us and see what we can do for you.

Let’s discuss what tech we can use for your business to thrive.

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