From the course: Cloud Architecture: Design Decisions
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Containers and container orchestration
From the course: Cloud Architecture: Design Decisions
Containers and container orchestration
- [Instructor] Containers provide the ability to run software within an operating system, running on a public cloud, a platform space that can run its operating systems such as Linux, as well as applications, data storage, and anything else you would run on a platform. This allows us to isolate a platform application and data within another platform, either running on a public cloud or even on a traditional system. The solution provides a few core advantages. First, portability means it's relatively easy to move one container running on one public cloud and move it to another. While some modifications need to be done to run on the new cloud, these are typically simple and sometimes non-existent. And second, the ability to scale to support higher processing loads. Using container cluster managers or container orchestration, we can automatically replicate containers across the platform or platforms, having them work together to support higher processing requirements. While there are…
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Performance management4m 19s
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Proactive security3m 27s
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Serverless3m 15s
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Containers and container orchestration2m 55s
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IoT and edge computing3m 49s
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Machine learning, generative AI, agentic AI, and deep learning5m 44s
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Multi-cloud2m 21s
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Low-code and no-code1m 27s
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Emerging technology2m 37s
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