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SKU/Artículo: AMZ-B0FVV75KK2
Production-Ready Python: Deploy, Scale, and Automate Resilient Applications with Docker, Kubernetes, and Cloud Infrastructure
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.86 kg
0.86 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Production-Ready Python: Deploy, Scale, and Automate Resilient Applications with Docker, Kubernetes, and Cloud InfrastructureModern Python systems run in distributed, containerized, and automated environments. This book shows you how to take your Python applications from development to production with the reliability, scalability, and observability demanded by today’s engineering standards.You will learn to build and operate production-grade Python services using Docker, Kubernetes, Terraform, and CI/CD pipelines. Through real-world examples, each chapter teaches you how to containerize your code, deploy at scale, automate workflows, and maintain reliability with modern cloud-native practices.What you will learn:Structure Python projects for modularity, scalability, and maintainabilityBuild optimized Docker images and secure containerized workloadsDeploy resilient applications on Kubernetes using manifests and HelmAutomate build and release pipelines with GitHub Actions and GitLab CIMonitor and trace Python microservices using Prometheus, Grafana, and OpenTelemetryManage secrets, credentials, and network security in production environmentsApply Infrastructure as Code with Terraform for repeatable deploymentsImplement rollback, blue-green, and canary strategies safelyThis guide is written for Python developers, DevOps engineers, and cloud practitioners who want to bridge the gap between writing code and running reliable systems in production.Whether you are deploying APIs, background workers, or data pipelines, Production-Ready Python gives you the complete playbook to design, automate, and operate Python systems that perform under real-world workloads.
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U$S 40,60
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U$S 28,00
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