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Optimizing Cloud Migration: Performance Lessons for the Enterprise

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Network Performance Monitoring While RUM and EUM give you a good understanding of what the end user is experiencing and APM illustrates what's going on on your server, network performance monitoring (NPM) looks at the areas in between (though only within your infrastructure, not the public internet). In traditional data centers, this would involve operational manage‐ ment tools such as Nagios, or NPM tools such as Zabbix or Solar‐ Winds to see details of how your network infrastructure is behaving. (It's worth noting that these two types of tools are increasingly over‐ lapping.) The network infrastructure is largely hidden from you in cloud environments, but NPM is still an important tool if you are using a hybrid cloud approach that combines cloud services with on- premise applications. Internet Performance Management Despite the standard monitoring tools described so far, there still remains a visibility gap, even when providing end-to-end monitor‐ ing, as it has limited insight into the Internet performance of your system. This is where IPM tooling can be valuable. IPM tooling (such as Dyn Internet Intelligence) is designed to give you insight into the behavior of the connectivity between your users and cloud providers—the middle mile or backhaul. This is shown in terms of both availability and performance, which allows you to determine whether users are being impacted by connectivity or routing issues with a cloud provider and take action to mitigate it. Key Concept—Monitoring Must Become Dynamic In a traditional environment, adding a server to a monitoring solu‐ tion was often a manual process included as part of the rollout. In the cloud world, you are living in a dynamic, ever-changing environment where servers and other services may well be added and removed at any time. It is important, therefore, that all moni‐ toring solutions you use reflect this and are able to dynamically pick up and remove elements, either automatically or via an API. 4. Build a Comprehensive Monitoring Solution | 17

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