Introduction
Big enterprises such as Google use some monitoring system, which according to Caskey Dickson are not effective because they are outdated. Monitoring is used in various operations such as quality assurance, product management, operation health and capacity planning. Google use monitoring because the enterprise has large quantities of relatively high-resolution data that need to be motored firmly.
Caskey Dickson observed that the initial Google monitoring system was not efficient. In this respect, he created a metrics at a comparatively minimum level of abstraction together with raw counters and some attributes (Caskey, 2009). According to Caskey, metrics must be brought together in a single place and has to remain useful after aggregation to give a chance for the extraction of meaning right from the raw data. Therefore, he suggested that Google needed another advanced method that would be effective in terms of storage.
Operation health
Operation health response has to be carefully monitored as it is one of the paramount aspects to guarantee health operation within the company. As such, Caskey proposed that the new metric system will enhance quality and efficient data storage and process.
Quality assurance
Quality assurance is relatively an aspect for big enterprises like Google in order to ensure quality in the company and attain confidence from the customers (Caskey, 2009). Basing on Caskey’s recommendation, metrics can used to assemble and improve quality assurance for Google contrary to the previous monitoring system where this aspect was not taken into consideration.
Capacity Planning
The working theory is crucial as it explains how the current serving capacity is evaluated. The capacity planning involves the calculation of proxy metrics. The proxy metrics is significant as it allows the servers to access the information that is entering into the main server. The users of the Google server are known through the capacity planning. Furthermore, through the capacity planning the impact of changes to the serving capacity is known. When there are changes in the serving capacity, it would affect the efficiency of the server. The theory thus helps in understanding the impact that would be caused by the introduction of changes in the serving capacity. Furthermore, the working theory can be used to calculate the cost per user of the server. It also explains how the efficient is the server. If the server is not efficient then it will be known in advance. The theory also can be used by the server developers in alerting when capacity limits are approaching. If the server reaches the limit, it might work properly. Thus, the server can easily estimate the limits when it is approaching.
Product management
The working theory is important as it is used to synthesize/reposes metrics (KPls vs SLis). The theory has been used to explain historical data and how to improve the data for the server to work efficiently (Kulakowski, Chronister & Research Enterprise, 2006). The analysis and synthesize of metrics from concrete metrics is also another role of the theory. Through the theory, it is easy to understand the visualization of resulting metrics. For example, the system is used for storage of data that is retrievable at any time by the users of Google system.
The figure illustrates various elements of the metrics system such as configuration, storage, analysis computation, sensing measurements, alerting escalation visualization and collection. All these sections are combined to form a concrete system that will enable smooth data storage and efficient operation of different elements in the company. Thus, Caskey's new system tends to be inclusive and easy to use.
Conclusion
Caskey in his presentation suggested that the company needed a more integrated system that is inclusive. The system that he created took various aspect into consideration especially the concept of storage. The Working theory by Caskey Dickson is a site reliable technique. Then, the Google Company can understand how the server works. It is used in the management of the server and ensuring quality in the company.
References
Caskey L. Dickson (2009) A Working Theory-of-Monitoring
Kulakowski, E. C., Chronister, L. U., & Research Enterprise. (2006). Research administration and management. Sudbury, Mass: Jones and Bartlett
