DEV OPS

DEV OPS

DevOps and Platform Engineering

Looking to save time and money with DevOps practices? DataArt helps implement best practices such as cloud integration, CI/CD, GitOps, containerization, DevSecOps, AI/ML, and AI Ops. We automate and streamline software development life cycle (SDLC) processes, improving collaboration, security, and efficiency. Our expert team creates scalable, secure environments that accelerate delivery, reduce costs, and ensure compliance. Whether you're transforming your DevOps strategy or enhancing existing processes, DataArt provides tailored solutions to help you innovate faster and drive business success.

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Manual:

No automation

Initial:

Emerging Automation

Mature:

Comprehensive Automation

Advanced:

Continuous Improvement

Site Reability Engineering

DataArt DevOps Services and Cloud Expertise

DataArt provides DevOps as a (managed) service, monitoring projects from start to finish across a variety of industries. We are working in Finance, Travel, Transportation & Hospitality, Healthcare & Life Sciences, Media & Entertainment, Retail & Distribution among other industries.

DevOps as a Service: Pipeline

A DevOps pipeline is a sequence of workflow tasks. It consists of several different stages. Configuring each stage as a part of DevOps as a Service contributes to a smooth and effective delivery through SDLC.

Build Automation and Continuous Integration

New features implemented by developers are integrated into the central code base on a continuous basis, built and unit tested

Test Automation

New versions of applications are continuously tested to ensure new features operate correctly and don’t break existing functionality. Types of tests include: integration tests; UI tests; performance tests

Deployment Automation

Deployment of new versions is automated (minimizing manual steps and human intervention), allowing for reliable delivery of new functionality to target environments in the shortest time possible

Platform Provisioning and Configuration Management

Enables creation, maintenance and tear down of complete environments automatically or at the push of a button. Ensures correct configuration and repeatability of environments; facilitates horizontal scalability and sandboxing

Monitoring / APM / Observability

Gathering, storage, and analysis of data reflecting vital parameters and behavior of applicants and infrastructure