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If a container goes down, it won’t affect other containers or the host. The rise of container adoption also means that applications can be isolated from other applications.

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Moving application workloads to containers from virtual machines frees developers from having to worry about whether their code and dependencies run correctly in production environments. What Challenges Does Kubernetes Solve?īefore we dive into the challenges Kubernetes solves, let’s briefly recap some topics covered in the previous two blog posts. Since then, Kubernetes has become widely adopted as the de facto standard for managing containers at scale.

In 2015, the technology of Borg was open sourced and donated to the Cloud Native Computing Foundation (CNCF) as Kubernetes. Google has been running containerized workloads in production for over 15 years and through their experiences managing containers at scale, Borg was born. Originally, Kubernetes started as an internal project at Google named Borg. The name stems from an ancient Greek word for “pilot” or “helmsman of a ship.” In keeping with the maritime theme of Docker containers, Kubernetes is the pilot of a container ship. In this post, we focus on how Kubernetes gets work done. The second covered the Next Frontier: Container Orchestration. The first in the series covered Next-Generation Application Development. We examine the rise of containers and Kubernetes to understand the organizational and technical advantages of each, including a deep dive into the ways Kubernetes can improve processes for deploying, scaling and managing containerized applications. In this blog post series, we have discussed how Kubernetes enhances a container-based microservices architecture. Provide a platform to deliver zero trust security and OPAĪutomatically collect hundreds of traces, logs and metrics

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