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{"tool_calls":[ {"id": "call_xfatfqin9jex7lxz7fdlr9hb", "type": "function", "function": {"name": "section", "arguments": " In a perfect world, highly-threaded I/O-intensive Linux containers running on Kubernetes would enjoy unimpeded access to CPU resources. However, reality often diverges from this ideal scenario. To bridge this gap and optimize Linux containers, application developers and DevOps teams must comprehend the intricacies of Linux task scheduling and CPU time allocation. The notion of "real-time" containers centers around empowering mission-critical containers with time-sensitive performance and reliability requirements to coexist harmoniously with non-real-time containers on the same hardware. Before embracing this strategy, it's crucial to evaluate its practicality and feasibility. Under-resourcing…