![]() Events and Metrics to MonitorĮrrors: Logging application and system errors is an easy choice, and the keyword “error” often serves as a good starting place for IT investigations. It’s important to be able to do this remotely, as tracking down the physical asset can be time-consuming or not feasible. As infrastructure becomes more compartmentalized, more ephemeral, and more dependent on code than physical machines, container security can play a role in system health.Įmployee Workstations: When software or processes on an employee’s machine are in conflict or perhaps flooding your network with packets, being able to see what’s running on an employee’s workstation is necessary. Collecting and storing all of your logs in a single location can make it easier to find information later.Ĭontainers: Containerization is becoming a popular approach to architecting and hosting both applications and infrastructures thanks to services like Docker. These services may offer log viewing functionality within the service itself, but you can also collect and store logs outside of these services. While application performance monitoring is important regardless of application audience, customer-facing applications and services may deserve more verbose logging.Ĭloud Services: Cloud services, especially infrastructure-as-a-service solutions like AWS and Azure, are instrumental to a system monitoring plan. Consider whether these applications are customer-facing or employee-facing. Some third-party applications will write logs to their host, which can then be collected.Īpplications developed by your internal team should also be built to log important events that can be captured. ![]() Typical events logged from databases can include slow queries and SQL timeouts, row limits, memory limitations, and cache issues.Īpplications: Applications include both third-party applications you’ve purchased and applications that have been developed in-house. Whether it’s a Windows, Linux, or Mac machine, most servers will offer some degree of event logging.ĭatabases: Many databases offer different logging levels to help administrators debug errors and identify issues that are on the horizon. ![]() Servers: Server monitoring covers a broad range of systems, including servers hosting applications, Active Directory Domain Controllers, file shares, and email servers. There are a lot of systems you could potentially monitor, and the ones you select will ultimately depend on your environment. While monitoring all three of these data types is fundamental to mature security operations, system monitoring typically focuses on the analysis of log data and asset data, specifically. Lastly is network data, which refers to data that’s specific to network performance, including bandwidth, network connection details, and routing behavior. Asset data can be particularly useful when monitoring for events that wouldn’t normally be captured in standard log files. This can range from basic resource metrics like CPU and memory to information about the processes and applications running on a given IT asset. Second is asset data, which refers to any data taken directly from the asset. Log data provides a detailed record of the transactions occurring across your IT environment. One way to think about monitoring your environment is to consider data in three categories.įirst is log data, which can be defined as any data written to a log file, regardless of whether it’s a common structure or simple text.
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