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DevOps is merging the path between Developers and Operations teams. It’s all about the agility and automation. Servers, in DevOps easily can be replaced instead of keeping it and nurture it. Everyone knows that the basic<\/b> role of System Administrator to Configuring, Debugging and Troubleshooting.<\/b><\/p>\n
They build their career in DevOps, where they have to configure and troubleshoot individual servers those have roles to play in the work space. With that they should learn to apply their skills to entire IT infrastructure described and managed by code. They should learn to manage cloud service and use automated deployment tools and code repositories. \u00a0Also, they must learn to focus on the infrastructure they can control because in the cloud they usually won’t have access to or information about the underlying hardware, storage or networks. So a System Administrator should <\/b>learn existing skills and new tools.<\/a><\/p>\n Everyone knows scripting is used to automate repetitive or error prone tasks which is a key practice in DevOps. Learning a programming language will help them create more robust scripts like Python<\/a> or Perl<\/a><\/b>.\u00a0 \u201cAnyone with basic shell scripting experience can pick them up pretty easily.\u201d Says Bobby Smith, Director of Research and Development.<\/p>\n Though most DevOps System runs in the cloud<\/b>, learning the management interfaces to Infrastructure service offerings such as Amazon Web Service (AWS ) or Microsoft Azure is valuable.<\/p>\n Most important, knowledge of Configuration management tools such as puppet and chef can help system administrators automate the large scale system provisioning that is central to DevOps. Understand the language on which such tools are built<\/b> such as Ruby, makes it easier to extend their use to an organizations need.<\/p>\n Inventory Management Tools, help system administrator identify the resources they need to manage in fast changing cloud environment.<\/p>\n For Performance monitoring, he recommends tools such as Nagios<\/a> or Amazon<\/a> , along with log aggregation products such as Logstash and Flume. Combined with cloud service, it’s impossible to create systems of metrics to understand how your infrastructure is doing.<\/p>\n