infrastructure capacity planning metrics

In the highly influential Google SRE (site reliability engineering) Book, the chapter on monitoring distributed systems introduces a useful framework called the four golden signals of monitoring that represents the most important factors to measure in a user-facing system.

These will include representations of your server’s hardware as well as core abstractions provided by the OS, like processes and file descriptors. Traffic can be used to understand the maximum amount of traffic that can be handled and how the service degrades or fails at various stages of load. Eachmetric should be selected to provide insight into critical …
While the metrics in the last section detailed the capabilities and performance of individual components and the operating system, the metrics here will tell us how well applications are able to perform the work we ask of them. Collecting metrics from your infrastructure gives you insight into the health and performance of your systems.

While the previously described metrics are incredibly useful, the metrics in this section are often the most important to set up alerting for.
Top 10 Demand Planning Metrics Your Dashboard Should Have .

Beyond the network itself, for distributed services, the health and performance of the server group is more important than the same measures applied to any individual host. Since services are often built by adding layers of abstraction on top of more basic components, metrics should be designed to add insight at each level of the deployment. Latency becomes a more complicated issue as processing can require communication between multiple hosts. These reports enable proactive approach and decision making. Since a service provided by one component may be consumed by another, saturation is one of the glue metrics that surfaces the capacity problems of underlying systems. H��VMo�8��W̑*F�,�^=�)�] c�ۦƦ�nI��v��~�ԇc�-,��7o��]���������k��Ç��k�]��r����쪮s�P�g�A��g�]�|iV��3��k��&��[�?��-1����T��U�U��P�B-�ZS�z��BuG���L�n��]盞�Ml aNPY��W$,��R��?|�N��^/ԋ.��6W���vҶT[z;a} p��j��I[����b>����� �F��Y[$ϻbl�[ 8J�Fh�af�@�C���j{��sֈkZ�b%E�ܢɦ����k�������%Tc��A�#�h�[3�Ln-�g��I�^t67X}{�0���P F ����L$&�K�,�)1v'�ufsS�)i��h�h��z�����؆f��0�D;�6OB7l8�F�������>S�f��Wd�-,D�����R���>.�)�6���w��5����^2���"m��t=[���bk��Q~ж��G,���;M�B

The highest level metrics track requests through the system in context of the outermost component that users interact with. Key Market Intelligence Metrics for Competitor activities: Enjoyed this post? H��V�n1}�W�q��سHU%�H�T ��B�"��&����m����2���s�=�3���Q�B��A�J|ZN���'S��qh�'�>F�±�u�N�y��ܦ6�!�Û��{\U��R��j�^q�K�.9�ր�D%��i�KH�O=D�9�*�/0�I���1}vΥ�)����X%7-|[K� �3`������L�t��Vg60�7�K~tٷ�9�J@dT+&B�P�����)��. We can discuss ways of identifying your most important metrics, but your results will depend on what the server is specifically being asked to do. Percentages or fractions are frequently used with resources that have a clear total capacity, but more creative measurements might be needed for resources with less well-defined maximum. March 1st, 2019. h�b```�V��|���ea�X �1�ř[������M'��1�=^��Za�fe���6\���Q������U?a��~�@-�� �� "�=f`\-��ڈ&�*y���e��H6J��J���mL�4����

Collect whatever data you think will be most likely to warn of problems or help you troubleshoot when things go wrong.

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