Category: Kubernetes, automation

Cloud Native Computing Foundation sponsored this post, in anticipation of KubeCon+CloudNativeCon North America 2021 on Oct. 11-15. Production readiness and resiliency guidance in cloud native environments often recommends several categories of preparation to ensure that an application is ready for “prime time” use.

But there are several core challenges surrounding learning in continuously changing environments: Further complicating these challenges, many organizations do not have a dedicated learning or development team to help manage knowledge development, and those that do are often not technical enough to generate content that is both deep and specific enough to address the knowledge gaps most relevant to organizational performance.

Therefore, it’s likely that in any given meeting, there are varying levels of knowledge and assumptions about the technology involved.

While the five challenges of learning in continuously changing environments can be difficult to overcome, strategies to cultivate continuous learning can help.

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