
Explore Robusta.dev, an open-source platform enhancing Kubernetes monitoring and troubleshooting with automated root cause analysis and improved manual investigation tools.

Learn how to implement GitOps for Kubernetes deployments without disrupting end-user workflows. Discover strategies to transform messy environments into efficient, process-driven systems using GitOps, Kubernetes, and Terraform.

Practical techniques and tools for troubleshooting Kubernetes deployment issues, including bottom-up investigation, workload isolation, and attaching to running workloads.

Explore comprehensive tools for evaluating GenAI applications, including inference tables, Lakehouse Monitoring, and MLflow. Learn best practices for offline and real-time quality assurance in production environments.

Learn strategies to effectively communicate and position platform engineering with managers, understanding their priorities and decision-making processes from a C-level perspective.

Explore common AI adoption mistakes in enterprises and learn a phased approach: crawl, walk, run, fly. Gain insights for successful implementation.

Explore automated 'grenade testing' for robust platform components. Learn implementation, features, challenges, and results of this comprehensive testing approach.

Explore pragmatic automation strategies for incident management, leveraging AI and existing tools to enhance efficiency, analysis, and response in IT operations.

Explore the synergy between DevOps and SRE cultures, uniting diverse responsibilities for enhanced operational efficiency and reliability.

Discover strategies for building high-performing DevOps teams and learn about the latest industry trends from expert insights and research findings.

Discover key practices for successful platform engineering adoption. Learn to overcome challenges, engage teams, and implement customer-centric leadership in DevOps environments.

Discover effective strategies for managing database schema changes in CI pipelines, focusing on safety, automation, and modern patterns for evolving data models while maintaining stability.

Explore how AI revolutionizes observability practices, from automated query writing and dashboard creation to enhanced root cause analysis and streamlined alert management in modern tech operations.

Explore the complexities of on-call rotations and production firefighting, examining organizational and individual perspectives while understanding the true value and impact of night-time emergency responses.

Explore AI's potential in simulating diverse perspectives, generating personas, and building consensus to address complex societal issues and enhance democratic processes.

Learn key principles for scaling ML & AI in organizations, covering data culture, model integration, and practical insights from Shopify's experience serving global entrepreneurs.

Learn Gatling for powerful load testing: setup, recording, script generation, and performance test execution. Explore features, architecture, and reporting capabilities of this open-source tool.

Learn to manage repositories, teams, and workflows on Docker Hub. Explore features like private repositories, publisher images, and automated builds for efficient container image sharing and collaboration.

Explore ML team structures, roles, and management strategies. Gain insights on building effective organizations and navigating the ML job market.

Comprehensive guide to ML team dynamics, hiring strategies, project management, and product design, offering insights for both aspiring professionals and team leaders in the machine learning field.

Discover how Docker simplifies development, onboarding, and deployment. Learn to set up, maintain, and use Docker environments for seamless software project management and production-like development.