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Oracle® ZFS Storage Appliance Analytics Guide, Release OS8.7.x

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Updated: August 2017
 
 

Protocol: HTTP/WebDAV Requests

This statistic shows HTTP/WebDAV requests/sec requested by HTTP clients. Various useful breakdowns are available: to show the client, filename and latency of the HTTP request.

When to Check HTTP/WebDAV Requests

HTTP/ WebDAV requests/sec can be used as an indication of HTTP load, and can also be viewed on the dashboard.

Use the latency breakdown when investigating HTTP performance issues, especially to quantify the magnitude of the issue. This measures the latency component for which the appliance is responsible for, and displays it as a heat map so that the overall latency pattern can be seen, along with outliers. If the HTTP latency is high, drill down further on latency to identify the file, size and response code for the high latency HTTP requests, and, check other statistics for both CPU and Disk load to investigate why the appliance is slow to respond; if latency is low, the appliance is performing quickly, and any performance issues experienced on the client initiator are more likely to be caused by other factors in the environment: such as the network infrastructure, and CPU load on the client itself.

The best way to improve performance is to eliminate unnecessary work, which may be identified through the client, response code and requested filename breakdowns.

HTTP/WebDAV Requests Breakdowns

Table 40  Breakdowns of HTTPWebDAV Requests
Breakdown
Description
type of operation
HTTP request type (get/post)
response code
HTTP response (200/404/...)
client
Client hostname or IP address
filename
Filename requested by HTTP
latency
A heat map showing the latency of HTTP requests, as measured from when the HTTP request arrived on the appliance from the network, to when the response is sent; this latency includes the time to process the HTTP request, and to perform any disk I/O.
size
A heat map showing the distribution of HTTP request sizes.

    These breakdowns can be combined to produce powerful statistics. For example:

  • "Protocol: HTTP/WebDAV operations per second of type get broken down by latency" (to examine latency for HTTP GETs only)

  • "Protocol: HTTP/WebDAV requests per second for response code '404' broken down by filename (to see which non-existent files were requested)

  • "Protocol: HTTP/WebDAV requests per second for client 'deimos.sf.fishpong.com' broken down by filename" (to examine files requested by a particular client)

Further Analysis

See Network: Device Bytes for a measure of network throughput caused by HTTP activity; also see Cache: ARC Accesses to learn how well an HTTP read workload is returning from cache, and Disk: I/O Operations for the back-end disk I/O caused.