Cloud-native technologies continue to reshape how organizations build, deploy, and manage applications. Kubernetes has become the platform of choice for modern infrastructure, while AI workloads, security requirements, and operational complexity continue to raise the bar for platform teams.
Whether you're building Kubernetes expertise, securing containerized environments, deploying generative AI workloads, or improving operational visibility, these titles offer practical guidance for today's cloud-native landscape.
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Build a solid foundation in Kubernetes through practical labs and real-world deployment scenarios. Learn how to manage workloads, configure networking, scale applications, and operate production-ready clusters while adopting security best practices along the way. |
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Security must be built into Kubernetes from the start. Explore authentication, authorization, workload protection, network policies, secrets management, compliance, and runtime security techniques to help secure modern containerized environments. |
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Learn how to design and operate Kubernetes environments for generative AI applications. Discover strategies for model serving, resource optimization, workload orchestration, and scaling AI services while maintaining performance and reliability. |
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As systems become increasingly distributed and AI-driven, visibility becomes critical. Learn how to leverage modern observability practices, telemetry, AIOps, and operational intelligence to monitor infrastructure, troubleshoot issues faster, and improve system resilience. |
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Together, these titles provide a practical roadmap for modern platform teams: build a strong Kubernetes foundation, secure cloud-native environments, deploy AI workloads with confidence, and gain the observability needed to operate resilient systems at scale. |
Ready to strengthen your cloud-native expertise?
Explore these Packt titles today and discover practical techniques for building, securing, deploying, and operating modern cloud-native platforms.
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