DevOps

DevOps is an approach to software development that brings together development (Dev) and IT operations (Ops) teams. The core idea of DevOps is that these two groups work together at every stage of building a product, from writing code to deploying and supporting it.

DevOps in simple terms

Traditionally, developers and system administrators worked in silos. Developers wrote code and then handed it over to the operations team to deploy on servers. This often led to conflict: developers wanted to ship new versions faster, while administrators cared about system stability. DevOps emerged as the answer.

DevOps is built on automating the development, testing, and deployment of applications. Instead of handing code from one team to another manually, teams use automated pipelines that build, test, and deploy applications on their own.

Why DevOps matters

DevOps solves several important problems that arise when commercial companies develop and support software:

• Faster time to market. DevOps helps companies bring new products to market faster. Automated build and deployment can shorten the time from writing code to delivering it to end users from weeks to days or even hours.
• Higher software quality by catching defects early in development. Running automated tests right away costs less than fixing defects after release and spending support resources on them.
• Lower risk during updates. In DevOps, teams ship small updates often instead of large releases every few months, because small changes are easier to test and roll back if something goes wrong.
• Saving the time of expensive specialists by automating routine work. Less time goes into manual operations and more into building new features and improving the product.
• Scaling the business and handling growing load. In DevOps, automated monitoring tracks application performance and adds computing resources when needed.

What a DevOps engineer does

A DevOps engineer is a specialist with both software development and system administration skills. They build and maintain the infrastructure for fast and reliable software delivery.

Automation is at the heart of DevOps work. The engineer builds automated pipelines: sequences of steps that compile code into a working application, run tests against it, and deploy it to servers. Managing infrastructure also requires the skills of an architect and a system administrator at the same time. The engineer designs and maintains server infrastructure, including virtual machines, networks, and databases, using cloud platforms.

Another DevOps responsibility is monitoring and logging: setting up systems that track application and infrastructure performance in real time. Every system a DevOps engineer works with must be secure, so the engineer builds security checks into development pipelines, sets up automated code scanning for vulnerabilities, and manages access to systems.

The DevOps engineer also makes sure that development, testing, and production servers are configured identically. Configuration management tools apply changes to all servers automatically, eliminating human error and configuration drift.

DevOps principles

DevOps rests on principles that define how development and operations teams think and organize their work.

Culture of collaboration
Developers and administrators work as one team with shared goals. Instead of shifting responsibility to each other, they solve problems and improve processes together and regularly share knowledge and experience.

Automate everything
Any repetitive task should be automated, because manual operations slow processes down and open the door to errors. Automation covers code builds, testing, deployment, monitoring, and even infrastructure provisioning.

Continuous integration and delivery (CI/CD)
Code is merged into a shared repository several times a day, and every change is tested automatically and can be deployed to production. This makes it possible to find and fix problems quickly.

Measurement and monitoring
All processes should be measurable so that data supports informed decisions about improvements.

Fast recovery
Systems are designed with failures in mind. Since it is impossible to prevent every problem, teams prepare to recover quickly after incidents. They rely on backups, fault-tolerant architecture, and fast rollback of changes.

Security from the start
Security requirements are considered at every stage of development rather than added at the end. Automated security checks are built into CI/CD pipelines, which helps detect vulnerabilities early.

Core DevOps practices

Continuous Integration (CI): automatically merging code from different developers into a shared project several times a day. The system checks that new code does not break the existing application and reports problems right away.

Continuous Delivery (CD): automatically preparing code for release after it passes tests.

Infrastructure as Code (IaC): describing servers and networks as code instead of configuring them by hand. This practice makes it possible to create identical servers automatically.

Configuration Management: storing settings for all system components centrally and applying them automatically. It keeps settings consistent across all servers without manual work.

Monitoring and Logging: continuously tracking applications and infrastructure and recording all events. These systems warn about problems before users notice them.

Automated Testing: automatically checking software for defects with every code change.

Containerization: packaging applications into isolated containers with all the components they need, so they can move between environments.

Microservices Architecture: splitting a large application into many small, independent services. Each service does one job and can be updated separately from the others.

Version Control (version control system): tracking every change to the code with the ability to return to any previous version. It lets several developers work on the same project safely at the same time.

DevOps tools

DevOps relies on a wide range of tools to automate development and operations. The choice of specific tools depends on project needs and team preferences.

Cloud technologies

IaaS (infrastructure as a service) lets teams scale computing capacity flexibly. PaaS (platform as a service) offers ready-made services for data storage, development, and containerization. Managed DevOps services provide a ready-to-use pipeline environment. Infrastructure as code tools such as Terraform and Pulumi help automate infrastructure deployment and manage applications in the cloud.

Container orchestration

Container management and orchestration systems support continuous delivery, fast deployment, and scaling of application configurations for testing and production. Examples: Kubernetes, Docker Swarm, Docker, and Podman.

Version control

Version control systems such as Git and GitLab help track changes and quickly roll an application back to a previous version in case of failure.

Configuration management

Configuration management, deployment, and application tracking systems (Ansible, Chef, Puppet) bring managed services to a predefined configuration from a central point. Their configuration rules are standardized and easy to read, yet highly flexible. Ansible is written in Python.

Python

Python is one of the most popular programming languages and is widely used in DevOps. Teams use it for automation scripts, deployment tools such as Fabric, and cloud automation SDKs such as boto3 and google-cloud-storage.

SimpleOne SDLC

A software development lifecycle management system that brings product planning, team resource planning, and development tasks, from epics to subtasks, into one environment. Integration with version control systems such as GitLab makes the development process transparent. The system supports the Scrum and Kanban Agile methodologies and integrates with SimpleOne ITSM to build end-to-end processes from development to operations.

How to introduce DevOps in a company

Introducing DevOps takes a systematic approach and gradual changes in culture, processes, and tools:

1. Assess the current state. Analyze existing development processes and find the bottlenecks that slow down software delivery.
2. Build cross-functional teams with shared goals and a culture of shared responsibility.
3. Automate critical processes. Start with automating application builds and testing, then gradually extend automation to other processes.
4. Set up application and infrastructure performance monitoring from the early stages.
5. Gradually scale the approach to other teams.
6. Measure results, including business indicators and metrics, and adjust processes regularly.

DevOps in brief

DevOps brings development and operations teams together to build and support software. Automating builds, testing, and deployment helps companies ship quality products faster.

Core DevOps principles include a culture of collaboration, automation of routine tasks, continuous integration and delivery, constant monitoring, and fast recovery from failures.

A DevOps engineer builds and maintains infrastructure for automated software delivery, sets up monitoring, and keeps development processes secure.

DevOps practices such as continuous integration, infrastructure as code, containerization, and automated testing work together to speed up development and improve product quality.

Development management platforms such as SimpleOne SDLC bring development planning and execution into one environment and integrate with operations systems to build end-to-end processes.

Introducing DevOps requires gradual changes in the company's culture, processes, and tools. Start by automating critical processes and forming cross-functional teams, then gradually scale successful practices across the organization.