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Development & Operations.  

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What Is DevOps?

DevOps (development and operations) is an approach to software development and delivery that emphasises collaboration and communication between software developers (Dev) and IT operations (Ops) teams, along with automation of the software delivery and infrastructure changes. Its primary aim is to establish a culture and environment where building, testing, and releasing software can happen rapidly and reliably.

Introducing DevOps to the company’s everyday operations brings indisputable benefits. It can help your business release products faster while maintaining high quality and shorter time to market. 

How does DevOps methodology work?

DevOps practices aim to empower continuous integration of the development process and the process of implementation, maintenance, and service of the product into one process focusing on constant product value delivery. One of the most important aspects of DevOps is shortening the time from the idea for new functionality to its installation at the customer’s site with expected quality. The critical DevOps practices include:

Configuration management

Continuous integration (CI)

Continuous deployment (CD)

Automated testing

Infrastructure as code approach (IaC) (with tools like AWS CloudFormation or Azure Resource Manager)

Continuous monitoring

The role of DevOps

What exactly is the role of development and operations within an organisation?

It aims to stimulate collaboration and innovation throughout software development by educating and supporting employees across different  IT areas.

It enables utilising typical methods to achieve goals easily, quicker, safer, and using resources more effectively. 

DevOps also aligns with Agile assumptions by introducing an iterative work model. Which means multiple iterations and releasing the product as early as possible. An essential part of it is the automation of the processes, for example, those requiring tedious and repetitive manual work. The fundamental principles of DevOps include:

  • Customer-centric actions
  • End-to-end responsibility
  • Continuous integration
  • Continuous improvement
  • Automation

Why should you consider
introducing DevOps to your business?

Saving money: development and operations methodology can significantly cut the development cost by automating specific tasks.

Saving time and resources: due to streamlining and automation of tasks, the number of developers and time required to develop the product can be cut by over half

Faster deployment and delivery: companies can cut their delivery time and recover from failures more efficiently, reducing potential risks of failing at any stage.

Improved work culture and customer value: DevOps culture can reduce unplanned work and rework by 22%. It can bring real value to the customer and build up employee satisfaction.

Krzysztof Gola
Krzysztof Gola General Manager Software

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Enhancing DevOps With Deep Tech: AIOps And MLOps.

With significant technological advancements came 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.

AIOps

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.

Team cooperation

MLOps

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.

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DAC.digital team working in the office

Useful DevOps tools

Several essential practices allow companies to streamline their software development and infrastructure management processes. They require proper tools to extract their full potential. There are many tools available. However, the following are the most popular ones: 

Version control tools (GitHub, GitLab)

Container management tools (docker, Kubernetes)

Application performance monitoring tools (AppDynamics)

Deployment and server monitoring tools (DataDog)

CI/deployment automation tools (Jenkins)

Test automation tools (Test.ai, Selenium)

The Growth Of DevOps In Numbers.

The global DevOps market is expected to grow CAGR 19.9% in the upcoming years.

Experts project the global market worth of DevOps to grow to USD 35,076.5 billion by 2030.

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A survey indicated that 51% of respondents reported adoption of platform engineering within the last three years, signalling a rise in the platform team.

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Introduce DevOps To Your Business

If you want to introduce a business and operations approach to your company, don’t hesitate to contact us. We have dedicated DevOps teams and experts who will understand your needs and help you find the best DevOps practices to elevate your business. Let’s talk and address all your questions and concerns.

Let’s connect!

Send us an e-mail: [email protected]