PAL: Add s3_storage as the data source
[csit.git] / resources / tools / presentation / doc / pal_lld.rst
index d3a9782..38ab6d9 100644 (file)
@@ -187,7 +187,10 @@ The structure of the section "Environment" is as follows (example):
 
       urls:
         URL[JENKINS,CSIT]: "https://jenkins.fd.io/view/csit/job"
-        URL[JENKINS,HC]: "https://jenkins.fd.io/view/hc2vpp/job"
+        URL[S3_STORAGE,LOG]: "https://logs.nginx.service.consul/vex-yul-rot-jenkins-1"
+        URL[NEXUS,LOG]: "https://logs.fd.io/production/vex-yul-rot-jenkins-1"
+        URL[NEXUS,DOC]: "https://docs.fd.io/csit"
+        DIR[NEXUS,DOC]: "report/_static/archive"
 
       make-dirs:
       # List the directories which are created while preparing the environment.
@@ -834,14 +837,14 @@ latency in a box chart):
 
 The structure of the section "Plot" is as follows (example of a plot showing
 VPP HTTP server performance in a box chart with pre-defined data
-"plot-vpp-httlp-server-performance" set and  plot layout "plot-cps"):
+"plot-vpp-http-server-performance" set and  plot layout "plot-cps"):
 
 ::
 
     -
       type: "plot"
       title: "VPP HTTP Server Performance"
-      algorithm: "plot_http_server_performance_box"
+      algorithm: "plot_http_server_perf_box"
       output-file-type: ".html"
       output-file: "{DIR[STATIC,VPP]}/http-server-performance-cps"
       data:
@@ -1263,7 +1266,7 @@ The model specifies:
     -
       type: "table"
       title: "Performance comparison"
-      algorithm: "table_performance_comparison"
+      algorithm: "table_perf_comparison"
       output-file-ext: ".csv"
       output-file: "{DIR[DTR,PERF,VPP,IMPRV]}/vpp_performance_comparison"
       reference:
@@ -1480,7 +1483,7 @@ At first, the .csv tables are generated (only the table for 1t1c is shown):
     -
       type: "table"
       title: "Performance trending dashboard"
-      algorithm: "table_performance_trending_dashboard"
+      algorithm: "table_perf_trending_dash"
       output-file-ext: ".csv"
       output-file: "{DIR[STATIC,VPP]}/performance-trending-dashboard-1t1c"
       data: "plot-performance-trending-all"
@@ -1503,7 +1506,7 @@ Then, html tables stored inside .rst files are generated:
     -
       type: "table"
       title: "HTML performance trending dashboard 1t1c"
-      algorithm: "table_performance_trending_dashboard_html"
+      algorithm: "table_perf_trending_dash_html"
       input-file: "{DIR[STATIC,VPP]}/performance-trending-dashboard-1t1c.csv"
       output-file: "{DIR[STATIC,VPP]}/performance-trending-dashboard-1t1c.rst"