
Explore automated accessibility testing strategies in this 33-minute conference talk from Devoxx. Learn about the upcoming EU laws requiring digital product accessibility by June 2025 and address the challenges of testing accessible products. Discover th…

Compare different salt types through practical tests to understand their unique properties and best culinary applications.

Build a secure, efficient Kubernetes development environment using k0s. Learn to safeguard clusters, ensure high availability, establish centralized identity management, and optimize resource utilization for enhanced productivity and innovation.

Explore Fabric Operations Console's new HashiCorp-based wallet integration. Learn deployment, operation, and governance of Hyperledger Fabric nodes and networks through web-based UIs and APIs.

Learn to build efficient Docker images for Spring apps, from basic to advanced techniques, optimizing deployment speed and traffic volume.

Explore cloud-native security strategies, emphasizing a shift-left approach for robust application protection in modern environments.

Explore the controversial relationship between Java developers and DevOps, examining arguments for and against its adoption in software deployment practices.

Explore music visualization using Kotlin, JavaFX, MIDI, and Virtual Threads. Learn to create interactive dashboards, generate pianos, and compare human vs. machine performance.

Transform application source code into container images efficiently using Cloud Native Buildpacks. Learn to accelerate development pipelines, reduce costs, and achieve greater agility in containerized application deployments.

Explore the process of adding GraalVM support to an open-source project, covering technical details and community collaboration for successful implementation.

Tackle Shadow Access and close Zero Trust gaps in the cloud with CSA's approach to transforming cloud IAM processes for DevOps environments.

Explore Avast's MLOps journey, tooling, and cultural shift for enhanced ML productivity. Learn strategies for model tracking, storage, orchestration, and E2E deployments in large-scale ML pipelines.

Explore AI observability tools for ML systems, focusing on logging libraries that enable testing, monitoring, and debugging of AI applications and data pipelines. Learn best practices to enhance MLOps.

Prepare and test machine learning models locally, then deploy them to production using Tempo Python SDK. Bridge the gap between data scientists and DevOps for faster, more reliable model deployment.

Dive deep into advanced ML model monitoring techniques, including outlier detection, concept drift, explainability, and performance metrics for robust production deployments.

Discover Ecolab's MLOps journey: Learn how they built a cloud architecture enabling rapid AI service deployment every 30-90 days to proactively address risks.

Develop a machine learning framework using Kubeflow, Feast, and Kafka in GCP. Learn to manage data features, serve endpoints, and monitor model performance with Grafana for real-time and batch predictions.

Gain insights into building an MLOps deployment platform using Kubernetes, integrating key technologies for serving and monitoring complex deep learning models.

Explore CISA's guidelines for secure AI system development, covering design, development, deployment, and operations stages.

Build ML microservices using MLServer and Seldon Core. Learn to create inference graphs for A/B testing, shadow deployment, and model monitoring with music industry examples.

Implement GitOps principles in MLOps using DVC to create an end-to-end pipeline centered around a git repository as the single source of truth.