
Explore DISA STIG certification for Kubernetes security, focusing on implementation, challenges, and best practices. Gain insights on compliance, documentation, and automation for robust K8s deployments in regulated industries.

Explore enhancing Kubernetes application security and sustainability using Lens IDE, k0s, and k0smotron. Learn best practices for efficient resource management and swift response to infrastructure breaches.

Automate CI/CD for Dockerized Flask apps using GitHub Actions. Learn to build Docker images, push to Docker Hub, and streamline deployment workflows for Python applications.

Learn to secure Kubernetes clusters with Kyverno, a policy engine for resource management. Covers installation, configuration, and hands-on examples of validation and mutation policies, with free labs for practical experience.

Explore long-term infrastructure maintenance strategies, including elephant memory, follow-up culture, and technical debt management, to continuously improve and evolve your infrastructure beyond Day 1.

Explore the evolution of infrastructure automation, from simple scripting to complex orchestration. Learn key ideas, modern techniques, and strategies to stay updated in this rapidly changing field.

Discover a transformative approach to delivering cloud services in federated organizations, focusing on agility and acceleration. Learn strategies to enhance service delivery and drive cloud transformation.

Explore strategies for swift, cost-effective, and low-risk cloud adoption. Learn foundational steps, techniques, and metrics to achieve productivity and value in cloud environments without compromising long-term goals.

Insights into Databricks Terraform provider's evolution, development challenges, and user anti-patterns from a maintainer's perspective, highlighting growth and lessons learned.

Explore Terraform 1.6's groundbreaking test framework that executes real infrastructure plans, ensuring flawless IaC operation beyond simulations for absolute certainty in deployments.

Discover the journey to mastering Test-Driven Development, debunking misconceptions and learning effective practices to enhance your software development skills and productivity.

Explore Kubernetes cluster security using KubeHound attack graph model. Learn offensive and defensive strategies to enhance your IT infrastructure protection.

Explore Kubernetes bootstrap tokens and AKS security in this TROOPERS24 talk. Gain insights into node authentication and potential vulnerabilities in container orchestration.

Explore automotive container security with eBPF in this TROOPERS24 talk. Learn innovative techniques to enhance vehicle cybersecurity and protect against emerging threats in the automotive industry.

Explore Databricks Asset Bundles (DABs) for streamlined data project management. Learn core concepts, best practices, and deployment patterns using Databricks CLI, with real-world examples and future integrations.

Learn techniques for automating Apache Spark upgrades and migrations, including open-source tools for code rewriting, production testing, and job tracking. Discover strategies for seamless upgrades and pipeline validation.

Explore Databricks Asset Bundles for seamless project development, from inner to outer loops. Learn workflow authoring and productionization using Github Actions and Azure Pipelines, adhering to DevOps best practices.

Discover effective strategies for unit testing streaming jobs, addressing challenges like long-running processes and third-party dependencies to improve data quality and code reliability.

Explore how a modern healthcare data lakehouse integrates diverse data sources, leveraging AI and orchestration for improved patient care, risk management, and clinical decision support.

Learn to implement, scale, and manage GenAI applications using Databricks, MosaicAI, and MLRun. Explore MLOps best practices, CI/CD automation, and GPU optimization for enterprise-level AI deployment.

Explore Repsol's integration of MLOps in their Data & AI Cloud Platform, focusing on Databricks Asset Bundles for efficient ML model development and deployment in the energy sector.