ML-Enabled framework for DevOps

IT – ML FOR DEVOPS

The project

The DevOps environment currently faces great challenges: large volumes of code, excessive compilation times, very slow software publishing ratios, late check-ins being just a few of these.

The application of Machine Learning techniques on activity data from different DevOps tools (Jira, Git, Jenkins, SonarQube, Puppet, Ansible, etc.)

together with data obtained in production, can significantly reduce the effort and cost of the product life cycle, improving the allocation of resources and avoiding the continuous changing of tasks.

Our client, through our Enabling services, has identified the potential of applying Machine Learning techniques on massive data sets for pattern detection, identification of inefficiencies, risks and potential failures in key aspects of DevOps

Through this innovation, we intend to go a step further in providing feedback and establishing the basis for a semi-automatic (potentially fully automatic) adaptation of DevOps environments to solve inefficiencies, risks and problems.

Project Goals

Iterative contribution, through our Innovation Delivery services, to the design and validation of a Machine Learning based system that continuously analyses the data available from the different stages of the DevOps process and offers high value-added feedback focusing on: Improvements in QA, Secure Service Deployment, Systems Management in Production, Problem solving and Prevention of Production Failures.

Budget

+ 1
EUROS

Technological Scope

More success stories

INDUSTRY 4.0

Lightweight framework for integration of AR micro-services. 

EDUCATION & TRAINING

Cross platform, multi-modal learning path
development engine.

FACILITY MANAGEMENT

Smart Building & Facility Management
TOURISM & ENTERTAINMENT TIMERIFTOURS | STARTUP
Virtual Reality Tours ’Start Tourism UP!’ Finalist @ ITB.
GASTRONOMY & EVENTS TRT:LABS | Sublimotion VR
Paco Roncero, **Michelin – Ibiza

IT – ML FOR DEVOPS

ML-Enabled framework for DevOps

WE ARE WAITNG FOR YOU

Contact Us

BARCELONA - MADRID - BERLÍN