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Explore hands-on platform engineering through 3 interactive labs: canary deployments, secrets automation, and multi-tenant clusters with Google Cloud experts.
Discover how to secure AI models through cloud-native supply chains using KitOps, Sigstore/Cosign, and Kubernetes for packaging, attestation, and policy enforcement in production.
Discover how to build scalable multi-tenant Internal Developer Platforms using GitOps and vCluster, integrating with existing enterprise tools for cost-effective infrastructure management.
Master building intelligent insurance claims systems using Marvel-inspired scenarios with Orkes Conductor, LLMs, webhooks, and human-in-the-loop workflows for scalable automation.
Discover actionable insights from Google experts on building internal platforms that prioritize safety, efficiency, and reliability through platform engineering and SRE collaboration.
Discover how Renovate automates Kubernetes infrastructure updates, managing Terraform, Ansible, and dependency tracking to streamline technical debt and infrastructure management.
Discover how to balance automation speed with operational control in DevOps, moving beyond surface-level practices to achieve measurable, sustainable infrastructure impact.
Master 5 actionable tips to improve cloud infrastructure reliability, security, and efficiency through IaC tracking, drift detection, and CI/CD guardrails.
Discover proven shared responsibility frameworks that balance developer autonomy with governance across multi-cloud environments, featuring automation strategies and real-world case studies.
Discover how platform success depends on culture, not just code. Learn to align strategy with company goals, build trust, and create psychological safety for high-performing engineering teams.
Discover how to measure and communicate platform engineering success using DORA, SPACE, Flow frameworks and key metrics like VCR, IAR, DTR to align stakeholders and showcase IDP value.
Discover how to build internal developer platforms as products, not infrastructure projects, focusing on developer needs, adoption strategies, and measuring platform effectiveness.
Explore how AI-generated code transforms AppSec and platform engineering, covering intelligent vulnerability detection, workflow integration, and balancing innovation with security.
Discover how to embed proactive security strategies and intelligent automation into platform design, moving beyond reactive cybersecurity to build resilient, AI-driven systems.
Discover how platform-driven thinking transforms product development from monolithic to modular, scalable architectures that reduce costs and enhance extensibility.
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