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README.md
milestone cannot be considered achieved if the issue isn't resolved. --- <div align="center"> <img src="https://raw.githubusercontent.com/cncf/artwork/master/other/cncf/horizontal/color/cncf-color.svg" width="300" alt="Cloud Native Computing Foundation logo"/> <p>Istio is a <a href="https://cncf.io">Cloud Native Computing Foundation</a> project.</p>
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operator/README.md
- [replica count](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/) - [HorizontalPodAutoscaler](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/) - [PodDisruptionBudget](https://kubernetes.io/docs/concepts/workloads/pods/disruptions/#how-disruption-budgets-work) - [pod annotations](https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/)
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README.md
<div align="center"> <img src="https://www.tensorflow.org/images/tf_logo_horizontal.png"> </div> [![Python](https://img.shields.io/pypi/pyversions/tensorflow.svg)](https://badge.fury.io/py/tensorflow) [![PyPI](https://badge.fury.io/py/tensorflow.svg)](https://badge.fury.io/py/tensorflow) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4724125.svg)](https://doi.org/10.5281/zenodo.4724125)
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docs/orchestration/README.md
of applications deployed as micro services, that scale well. It is not about just retrofitting monolithic applications onto modern container based compute environment. A cloud-native application is portable and resilient by design, and can scale horizontally by simply replicating. Modern orchestration platforms like Kubernetes, DC/OS make replicating and managing containers in huge clusters easier than ever. While containers provide isolated application execution environment, orchestration...
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