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Designing and running applications with scalability, portability, and robustness in mind can be challenging, especially as system complexity grows. The architecture of an application or system dictates how it must be run, what it expects from its environment, and how closely coupled it is to related components. Following certain patterns during the design phase and adhering to certain operational practices can help counter some of the most common problems that applications face when running in highly distributed environments.
Technologies like Docker and Kubernetes help teams package software and then distribute, deploy, and scale on platforms of distributed computers. Learning how to best harness the power of these tools can help you manage applications with greater flexibility, control, and responsiveness.
In this guide, we will discuss some of the principles and patterns you may want to adopt to help you scale and manage your workloads on Kubernetes. While Kubernetes can run many types of workloads, your choices can affect the ease of operation and the possibilities available.
If youโre looking for a managed Kubernetes hosting service, check out our simple, managed Kubernetes service built for growth.
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Former Senior Technical Writer at DigitalOcean, specializing in DevOps topics across multiple Linux distributions, including Ubuntu 18.04, 20.04, 22.04, as well as Debian 10 and 11.
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Hi Justin,
This was an excellent article. The summary of the 12 guidelines for cloud native applications was on-point. Seeing how these are applied in Kubernetes was just what I needed. Thank you :)
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