How to Architect for Continuous Delivery
Explore key capabilities driving software delivery improvements, focusing on continuous delivery, built-in quality, security, and operability. Learn to architect for DevOps and platform engineering at scale.
Falling in Love with Unit Testing
Discover the power of unit testing in software development. Learn key concepts, best practices, and implementation techniques to enhance code quality and reliability.
Chaos in the Cloud - Exploring AWS Resilience and Fault Injection Simulator
Explore chaos engineering in cloud environments, focusing on AWS resilience strategies, fault injection simulators, and new cross-region and AZ availability scenarios. Gain practical insights and best practices.
Using Frameworks to Test Apache Airflow Data Pipelines
Explore frameworks for testing Apache Airflow data pipelines, covering local development, CI/CD, validation, unit tests, and integration tests. Includes a practical demo and key takeaways.
Empowering AWS DevOps with Python and Machine Learning
Optimize AWS DevOps using Python and machine learning techniques for efficient cloud infrastructure scaling and performance improvement.
Writing Python Codemods for Fun and Profit
Explore Python codemods for automated code improvements, focusing on security enhancements, resource management, and performance optimization using open-source tools and custom plugins.
Building a Better Testing Culture
Explore strategies for fostering a robust testing culture, addressing challenges in automated testing, and promoting collaboration for efficient software delivery.
Ways to Realistically Prioritize Code Quality for Engineering Teams
Explore strategies for prioritizing code quality in engineering teams, focusing on communication, incentives, and practical techniques for busy developers.
Testing in Apache Solr - Session 3
Explore Solr's testing capabilities, learn to contribute effectively, and master techniques for writing and managing tests in Apache Solr.
Benchmarking Embeddings for Similar Image Retrieval - Zucchini or Cucumber?
Explore image-based recommendations for grocery shopping using AI. Learn to build and evaluate benchmarks for image vectorization models, improving differentiation between similar food items.
Automated Testing and Board Farming - Techniques for Rapid Software Testing
Explore automated testing techniques for rapid software release validation, focusing on current tools, projects, and development directions in response to EU's CRA legislation requirements.
Hidden in Plain Sight: Corner Case Defects - Identifying and Avoiding Unexpected Software Issues
Explore intricate, often overlooked defects in code that strike unexpectedly. Learn to identify, understand, and prevent these corner case issues through real-world examples and expert insights.
TypeScript Static Analysis Hidden Gems
Explore advanced TypeScript tooling for powerful code analysis and automation. Discover hidden gems like typescript-eslint, eslint-plugin-expect-type, ts-prune, and TypeStat to enhance your development workflow.
Tips and Tricks for Writing Fast and Maintainable Front-End Tests
Discover techniques for crafting efficient, reliable front-end tests that communicate software intent clearly. Learn to write end-to-end and component tests, prevent flaky CI runs, and make tests valuable beyond QA.
Keeping Your Kubernetes Cluster Secure
Discover open-source tools for securing Kubernetes clusters at multiple levels, from hardening nodes to monitoring container behavior and enforcing policies.
Test Automation with GitOps: Benefits and Challenges
Explore GitOps for test automation in CI/CD, reducing setup time and improving efficiency. Learn benefits and challenges through Open Liberty's experience with OpenShift deployments.
Fighting Pipeline Debt With Great Expectations
Learn to combat pipeline debt using Great Expectations, an open-source library for data validation, documentation, and profiling in complex data systems.
How to Evaluate LLM Performance for Domain-Specific Use Cases
Explore advanced LLM evaluation techniques for enterprise AI, including data-centric approaches, quality modeling, and fine-grained benchmarking to overcome common challenges and improve performance.
Task Me Anything: Revolutionizing Multimodal Model Benchmarking
Explore Task Me Anything platform for efficient multimodal model evaluation. Learn programmatic task generation and active learning techniques to create custom benchmarks for data science projects.
Streamlining Testing in a Large Python Codebase
Optimize Python testing in large codebases using parallel execution, efficient startup, and targeted coverage reporting. Boost development speed and code quality with practical strategies and open-source tools.
Adventures in Not Writing Tests - Using Hypothesis for Code Validation
Explore Hypothesis library for creating robust test inputs, focusing on edge cases. Learn to use Ghostwriting to generate tests from type hints, saving time and validating code.