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@pyephyoeaung started using Kubernetes , 4 years, 9 months ago.
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@sanjeev started using Kubernetes , 4 years, 9 months ago.
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@yogeshraj-au started using Kubernetes , 4 years, 9 months ago.
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@krushna-prasad-sahoo started using Kubernetes , 4 years, 9 months ago.
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@sergsoares started using Kubernetes , 4 years, 9 months ago.
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@akash_choudhary started using Kubernetes , 4 years, 9 months ago.
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@moronim started using Kubernetes , 4 years, 10 months ago.
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@angela723 started using Kubernetes , 4 years, 10 months ago.
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@if3chi started using Kubernetes , 4 years, 10 months ago.
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@gilbranfairuz started using Kubernetes , 4 years, 10 months ago.
At its core, Kubernetes operates on a declarative model: you define the "desired state" of your application—such as how many replicas should be running or how much CPU they should use - and the system continuously works to maintain that state. If a container crashes or a node fails, Kubernetes automatically detects the discrepancy and restarts or reschedules the workload to ensure zero downtime, providing a self-healing environment that is critical for modern, high-availability systems.
Beyond simple container management, Kubernetes provides a robust ecosystem for networking, storage, and security. It handles service discovery and load balancing internally, allowing containers to communicate seamlessly without hardcoded IP addresses, and orchestrates storage mounting from various providers. By standardizing how applications are deployed and scaled, Kubernetes enables developers to move from local development to global production with consistent and predictable results.










