4/7/2023 0 Comments Splunk architecture![]() Examining logs, metrics and traces collectively enables a tool to assess the application's health, which can then be used to determine if users are having a good experience.ĪPM works by actively collecting internal state data and data related to application response time. Instead, observability applies the principles of control theory, which essentially state that it's possible to understand what's going on with a system by examining its inputs and outputs. Even though the goal is to ensure a good user experience, observability doesn't directly focus on gauging the user experience. Observability takes the data that exists in logs, metrics and traces, and then uses that information to form an overall health assessment. What are the differences between APM and observability?ĪPM and observability tools can ensure a good user experience, but they work toward that goal in different ways. An informational log entry might be generated, for example, when a process is created, while an error event might be added to a log if that process were to terminate unexpectedly. Coming in many forms, logs can be informational or contain errors or warnings. An application trace can also track how the application's components are used. A network trace, for instance, can track the path packets take to their destination. These help to monitor the interaction between the components making up a complex system. Metrics might represent anything from the number of CPU cycles being consumed at a given moment to the amount of time an e-commerce application takes to complete a credit card transaction. These generally refer to raw performance data. Observability uses three main data sources that are often referred to as the pillars of observability. While APM collects data for KPIs, observability aggregates data from various sources to paint a picture of the system's overall health. Like APM, observability is a method used to determine the overall health of complex systems and IT workloads. When performance problems occur, the APM tool can compare real-time metrics with historical telemetry data to figure out where the problem resides. Other APM tools map all the components and infrastructure an application relies on. Modern applications tend to be extremely complex and might span multiple systems, so an issue with any one of these systems can result in an overall system performance problem. Some APM tools, for example, help with root cause analysis. There are many other aspects of APM, besides providing insight into the user experience. Some DevOps teams incorporate APM into the application development process to avoid putting a change into production if it's found to adversely affect performance. Doing so not only enables an organization to monitor the user experience it also provides visibility into how that experience changes as an application's workload increases. ![]() At a general level this might mean tracking an application's load, along with KPIs. Even so, APM goes well beyond what might be expected from basic performance monitoring offerings.ĪPM is often used with a modern application as a way of assessing the user experience. As its name suggests, application performance monitoring ( APM) is a tool to locate the source of application performance issues.
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