FOUNDING MINDSDevOps Team
Our Continuous Delivery Crew

Uniting development and operations to drive innovation and efficiency.

The DevOps team at Founding Minds plays a crucial role in ensuring the successful delivery of products incubated with us. Agile development practices prioritize flexibility and rapid iteration, and the DevOps team helps to facilitate this by automating and streamlining the software delivery process.

Version control systems
We facilitate the implementation of SCM tools such as Git, Subversion, and Mercurial.
CI/CD tools
We automate the continuous of building, testing, and deploying code changes using Jenkins, Travis CI, and CircleCI.
Containerization
Our team helps developers to package applications and their dependencies into lightweight containers that can be easily deployed and scaled using Docker and Kubernetes.
Monitoring
Our devops engineers to monitor the performance and availability of software systems using AppInsights, Nagios, Datadog, and New Relic.
Configuration Management
We automate the provisioning, configuration, and management of infrastructure using Ansible, Puppet, and Chef.
Testing
Our devops engineers facilitate the quality and functionality of software systems using Selenium, JMeter, and Cucumber.
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TRANSFORMING BUSINESS

Accelerating delivery
with collaboration and automation

Agile and DevOps are for harnessing integration, interaction and innovation in software development.

The DevOps team at Founding Minds plays a critical role in ensuring that our software is delivered to our customers in a reliable, efficient, and secure manner. They are responsible for building and maintaining the infrastructure and processes that enable the continuous delivery of our software.

Their key focus areas are

  • The creation and maintenance of build and deployment pipelines.
  • Optimize the time it takes to build and test our software
  • Perform regular vulnerability assessments and penetration testing (VAPT) to identify and fix any potential security vulnerabilities.
  • Integration of various tools such as SBOM (Software Bill of Materials), VAPT
  • Containerization to help streamline and optimize our workflow.
  • Monitoring and optimisation

CONTACT US WITH EASEGet in touch

Visit our agency or simply send us an email anytime you want. If you have any questions, please feel free to contact us.
Address
12835 Deer Creek Lane,
Los Altos Hills, CA 94022.
Call us
+1 866.854.2877
Email us
info@foundingminds.com
OUR ANNOUNCEMENTS

Latest Blogs

Harikrishnan Pillai Earns Global Doctorate in Machine Learning: A Journey of Dedication and Excellence
25Jun
Harikrishnan Pillai Earns Global Doctorate in Machine Learning: A Journey of Dedication and Excellence
We’re proud to celebrate a significant academic and professional milestone achieved by one of our own—Harikrishnan Kuttan Pillai, Architect at Founding Minds Software, who has officially earned the Global Doctor of Business Administration (GDBA) in Machine Learning from the Swiss School of Business and Management (SSBM), Geneva.
The Synthetic Data Revolution: From Simple Rules to AI Masterpieces
27May
The Synthetic Data Revolution: From Simple Rules to AI Masterpieces
In the digital underworld, a quiet rebellion brews. Synthetic data, once a pipe dream, now threatens to blur the lines between reality and fabrication. This isn’t just ones and zeros – it’s the art of playing god with information.
Unleashing the Power of Feature Engineering for Blog Recommendation System
28Apr
Unleashing the Power of Feature Engineering for Blog Recommendation System
In machine learning, algorithms are designed to learn patterns and make predictions from data. There’s a hidden operation that plays a crucial role in training the machine learning models - Feature Engineering. In this blog, we will delve into the importance of feature engineering, its role in enhancing model performance, and develop a recommendation system for blog posts, recommending a random number of blog posts based on their interaction metrics.
Keeping LLMs Real
28Mar
Keeping LLMs Real
Natural language processing has developed much like a meandering river—its path winding and unpredictable. Bringing together ever-changing AI methods while keeping them true to real facts is no easy task, much like following a stream through a foggy dawn. Today, as we stand in awe of the vast Large Language Models (LLMs), we notice a gentle truth: these remarkable systems are like curious, wide-eyed children.
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© Founding Minds 2025.

Copyright Founding Minds 2025.