本页面中的信息并不完全以您的首选语言展示，我们正在完善其他语言版本。想要以您的首选语言了解相关信息，可以点击这里下载PDF。
发布于 : Nov 14, 2018
不在本期内容中
这一条目不在当前版本的技术雷达中。如果它出现在最近几期中，那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中，那么它很有可能已经不再具有相关性，我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。
了解更多
Nov 2018
Hold
谨慎行事
When organizations choose a vanilla Hadoop or Spark distribution instead of one of the vendor distributions, they have to decide how they want to provision and manage the cluster. Occasionally, we see "handcranking" of Hadoop clusters using config management tools such as Ansible, Chef and others. Although these tools are great at provisioning immutable infrastructure components, they're not very useful when you have to manage stateful systems and can often lead to significant effort trying to manage and evolve clusters using these tools. We instead recommend using tools such as Ambari to provision and manage your stateful Hadoop or Spark clusters.
