
Step-by-step tutorial on Jenkins pipelines, covering Jenkinsfiles, multi-stage pipelines, and practical demonstrations. Learn to build and run pipelines, create CI pipelines, and implement full pipeline deployments.

Explore MLOps challenges, differences from DevOps, and solutions for efficient machine learning development. Learn about GitLab's approach and the emerging field of LLMOps.

Explore shift-left testing for open source components, focusing on automatic testing methods to select suitable components early in development, avoiding costly replacements and rework.

Discover how Infracost API integrates with Terraform to provide accurate cost estimates for cloud infrastructure, enabling teams to optimize expenses and prevent costly mistakes.

Explore innovative zero-trust network solutions using Istio ambient mesh and Cilium. Learn to secure Kubernetes services with defense-in-depth strategies and policy enforcement points for optimal performance and protection.

Explore platform engineering, K8s-based architectures, and open-source tools for building secure platforms. Learn from healthcare and finance industry experiences, with a live demo on creating a platform from scratch.

Explore kube-image-keeper, an open-source caching system for Kubernetes that enhances container image availability. Learn its architecture and how to build a Kubernetes operator using kubebuilder.

Explore Kubernetes observability: metrics, logging, tracing, and profiling. Learn built-in tools, kubectl, and external solutions like Prometheus and Grafana. Discover best practices and real-world examples for effective cluster monitoring.

Discover how Jina MLOps platform simplifies building and deploying AI applications in Python to the cloud, enabling engineers to focus on logic while handling infrastructure complexity.

Explore how Linux kernel tracing can enhance Kubernetes cluster observability, leveraging built-in capabilities to trace containers and improve debugging and performance analysis.

Learn database selecting techniques, including creating models, using Active Records, query bindings, and testing, to enhance your database management skills.

Explore the automation behind "one-click" deployments using open-source tools like NetBox and Ansible. Learn techniques for fast, automated system setups from start to finish.

Learn to implement automated testing with GitHub Actions, simplifying the process for efficient software development and continuous integration.

Explore the intricacies of Kubernetes networking, focusing on pods, proxies, and ports for effective container orchestration and communication.

Explore Krateo PlatformOps for managing external ecosystems from Kubernetes, enhancing orchestration capabilities and streamlining cloud-native operations.

Explore Kubernetes misconfigurations, learn detection techniques, and integrate with GitHub Actions for improved cloud-native security and best practices.

Explore HPC/HTC landscape in cloud-native environments, covering solutions, deployments, workload migration, resource management, and tools for high-performance computing.

Explore Kubernetes storage options, validate configurations, evaluate performance, and browse Persistent Volumes with Kubestr. Learn about platform support, CSI extensions, and getting started.

Explore open source observability tools like Grafana, Prometheus, Loki, and Tempo. Learn their philosophies, integrations, and best practices for effective monitoring and visualization of complex systems.

Automate and orchestrate stateful workloads in Kubernetes, covering cloud-native storage, database management, and resilience strategies for efficient cloud-based applications.

Enforce configuration and security checks for Kubernetes YAML files and Helm charts using KubeLinter, with demos and Q&A sessions.