Securing the Software Development Life Cycle with Machine Learning
Learn to leverage machine learning and NLP for identifying and tracking security bugs throughout software development, covering concepts, challenges, and practical implementation strategies.
Lessons Learned Implementing SDLC and How To Do It Better
Insights on implementing SDLC effectively, covering management buy-in, security awareness, threat modeling, code review, and testing for better software development practices.
Open Source, Python Based Tools for Data Privacy
Explore open-source Python tools for integrating data privacy into software development, improving trustworthiness and efficiency in handling personal data across various infrastructures.
The New ML Lifecycle - Deploying and Managing
Explore the challenges and solutions in adapting infrastructure for ML deployment, including automation, integration, and governance at scale. Learn best practices for the new ML lifecycle.
How Platform Engineering Teams Can Augment DevOps with AI
Discover how AI can revolutionize DevOps through predictive and generative capabilities, enhancing software delivery effectiveness and efficiency for platform engineering teams.
Accelerate Your Software Development Lifecycle with BEST
Discover how to optimize software development lifecycles using BEST framework, featuring practical insights on team evaluation, performance measurement, and continuous improvement strategies for enterprise organizations.
Bridging Business and Tech for Data Science Success
Discover effective strategies for bridging the gap between business and technical teams in data science projects, focusing on collaboration, communication, and successful project implementation.
DevSecOps - Real Life Security Incidents and Lessons in Software Development
Explore real-world cybersecurity incidents and discover crucial lessons about integrating security measures throughout the software development lifecycle to prevent vulnerabilities and attacks.
Automating Releases with GitHub Actions
Automate releases with GitHub Actions to streamline software delivery, improve quality, and foster community engagement.
Platform Engineering Ferris Wheel - Improving DevOps Models
Explore the platform engineering Ferris Wheel model to enhance DevOps, balance application and infrastructure focus, and optimize platform product roadmapping for maximum ROI.
Secure Your Software Supply Chain with Go
Learn to detect and remediate vulnerabilities in Go dependencies using the new vulnerability management system, enhancing software supply chain security.
Securing GitOps Pipelines: Open Source, Vendors, and Getting Things Done
Explore strategies for securing GitOps pipelines, comparing open source and vendor solutions, and implementing best practices for modern SDLCs in automated git workflows.
Six Stages of Software Engineering Growth and Development
Explore the six evolutionary stages of software engineering mastery, from understanding and articulating technology to recognizing limitations and finding appreciation for existing solutions.
The Telemetry of Trust - Using Attestations to Secure Your Software Development Lifecycle with Open Source Tools
Discover how attestations and cryptographic telemetry can secure software delivery at scale, building trust through verifiable inputs and enabling safer deployment decisions across diverse development environments.
Getting Past Bare Minimum Code Reviews - Making Code Review Processes More Effective
Master effective code review practices and techniques to streamline PR processes, write meaningful feedback, handle large changes, and overcome common bottlenecks for better team collaboration and code quality.
Scaling the Security Wall: Agile Threat Modeling for Complex Systems
Discover practical approaches to agile threat modeling for large-scale systems, focusing on cloud architectures, SDLC integration, and cost-effective security strategies.
Common Mistakes in Building AI Products - How to Avoid Project Failures
Discover common pitfalls in AI product development through real case studies and learn practical strategies to improve project success rates with proven lifecycle modifications and management approaches.
Testing Machine Learning Systems - What It Is and Why You Should Care
Discover essential strategies for testing ML systems in production, from key concepts and best practices to overcoming common challenges for faster, higher-quality development outcomes.
Процесс безопасной разработки и как его внедрить без драк в переговорных
Discover effective strategies for implementing secure development processes in organizations, focusing on methodologies, automation, and conflict-free integration with existing workflows.
DevOps Governance в Аудите Продукта - Внедрение Матрицы Зрелости
Discover how to implement DevOps maturity matrix for product auditing, establish transparent development processes, and demonstrate automation value to stakeholders and business teams.
DevOps for ML and Other Half-Truths - Processes and Tools for the ML Lifecycle
Explore processes and tools for enterprise-ready ML deployment, addressing the challenges of standardization in the ML lifecycle and supporting IT operations management.