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.
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.
Los Altos Hills, CA 94022.
Call us
+1 866.854.2877
Email us
info@foundingminds.com
OUR ANNOUNCEMENTS
Latest Blogs
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
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.
From Manual to AI-Driven: A Journey into Synthetic Test Data Generation
Perfect test data is the holy grail of QA engineering. We need data that’s realistic, varied, and thorough enough to catch edge cases – but our current options all fall short. Production data masking gives us realism but raises privacy flags. Random generators pump out quantity without quality relationships. And creating test data manually? That’s like painting the Golden Gate Bridge with a watercolor brush.
Journey through Neural Network Architectures: RNNs, CNNs, and Transformers
Ever wondered how your phone predicts what you're about to type, how Netflix seems to know your taste in movies, or how voice assistants like Siri and Alexa understand you? It’s all thanks to powerful neural networks!
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© Founding Minds 2025.
Copyright Founding Minds 2025.