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

Beyond the Bump: How AI is Revolutionizing Pothole Detection
13Jan
Beyond the Bump: How AI is Revolutionizing Pothole Detection
Potholes are an all-too-familiar sight on roads, causing inconvenience and posing safety risks for drivers. As cities grow and traffic intensifies, maintaining road quality has become a significant challenge. Traditional methods of pothole detection often fall short in terms of efficiency, consistency, and scalability. Enter Artificial Intelligence (AI) – a game-changer in the world of road maintenance, offering unprecedented accuracy and efficiency in pothole detection.
From Base to Instruct: Fine-tuning LLMs Using PEFT Techniques
2Jan
From Base to Instruct: Fine-tuning LLMs Using PEFT Techniques
In the fast-evolving field of artificial intelligence, optimizing large language models (LLMs) has become a key challenge. Fine-tuning has emerged as a practical solution to adapt these models for specific tasks, enhancing their performance without the need for complete re-training.
Beyond Basic Chatbots: Leveraging LLMs and RAG for Smarter Conversations
18Dec
Beyond Basic Chatbots: Leveraging LLMs and RAG for Smarter Conversations
Tired of generic chatbots? Let’s build one that truly understands your data. By combining Large Language Models (LLMs) with modern technologies like Vector Databases and Retrieval-Augmented Generation (RAG), we can create an AI assistant that gives precise, context-aware responses without hallucination.
Scaling AI Success: The Critical Role of MLOps in Modern Enterprises
14Oct
Scaling AI Success: The Critical Role of MLOps in Modern Enterprises
Machine Learning Operations, or MLOps, is a crucial aspect of ML engineering that focuses on efficiently deploying, managing, and monitoring machine learning models in production environments. It merges machine learning practices with DevOps principles to create a streamlined workflow for developing, implementing, and maintaining ML models.
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© Founding Minds 2025.

Copyright Founding Minds 2025.