Update Python metrics screenshots

content/quickstart/python/metrics.md

@@ -98,16 +98,16 @@ import opencensus.tags import tag_value as tag_value_module
 
 # Create the measures
 # The latency in milliseconds
-m_latency_ms = measure_module.MeasureFloat("repl/latency", "The latency in milliseconds per REPL loop", "ms")
+m_latency_ms = measure_module.MeasureFloat("repl_latency", "The latency in milliseconds per REPL loop", "ms")
 
 # Counts the number of lines read in from standard input
-m_lines_in = measure_module.MeasureInt("repl/lines_in", "The number of lines read in", "1")
+m_lines_in = measure_module.MeasureInt("repl_lines_in", "The number of lines read in", "1")
 
 # Encounters the number of non EOF(end-of-file) errors.
-m_errors = measure_module.Int("repl/errors", "The number of errors encountered", "1")
+m_errors = measure_module.Int("repl_errors", "The number of errors encountered", "1")
 
 # Counts/groups the lengths of lines read in.
-m_line_lengths = measure_module.Int("repl/line_lengths", "The distribution of line lengths", "By")
+m_line_lengths = measure_module.Int("repl_ine_lengths", "The distribution of line lengths", "By")
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@@ -125,16 +125,16 @@ from opencensus.tags import tag_value as tag_value_module
 
 # Create the measures
 # The latency in milliseconds
-m_latency_ms = measure_module.MeasureFloat("repl/latency", "The latency in milliseconds per REPL loop", "ms")
+m_latency_ms = measure_module.MeasureFloat("repl_latency", "The latency in milliseconds per REPL loop", "ms")
 
 # Counts the number of lines read in from standard input
-m_lines_in = measure_module.MeasureInt("repl/lines_in", "The number of lines read in", "1")
+m_lines_in = measure_module.MeasureInt("repl_lines_in", "The number of lines read in", "1")
 
 # Encounters the number of non EOF(end-of-file) errors.
-m_errors = measure_module.MeasureInt("repl/errors", "The number of errors encountered", "1")
+m_errors = measure_module.MeasureInt("repl_errors", "The number of errors encountered", "1")
 
 # Counts/groups the lengths of lines read in.
-m_line_lengths = measure_module.MeasureInt("repl/line_lengths", "The distribution of line lengths", "By")
+m_line_lengths = measure_module.MeasureInt("repl_line_lengths", "The distribution of line lengths", "By")
 
 # The stats recorder
 stats_recorder = stats.Stats().stats_recorder
@@ -199,41 +199,41 @@ from opencensus.tags import tag_value as tag_value_module
 
 # Create the measures
 # The latency in milliseconds
-m_latency_ms = measure_module.MeasureFloat("repl/latency", "The latency in milliseconds per REPL loop", "ms")
+m_latency_ms = measure_module.MeasureFloat("repl_latency", "The latency in milliseconds per REPL loop", "ms")
 
 # Counts the number of lines read in from standard input
-m_lines_in = measure_module.MeasureInt("repl/lines_in", "The number of lines read in", "1")
+m_lines_in = measure_module.MeasureInt("repl_lines_in", "The number of lines read in", "1")
 
 # Encounters the number of non EOF(end-of-file) errors.
-m_errors = measure_module.MeasureInt("repl/errors", "The number of errors encountered", "1")
+m_errors = measure_module.MeasureInt("repl_errors", "The number of errors encountered", "1")
 
 # Counts/groups the lengths of lines read in.
-m_line_lengths = measure_module.MeasureInt("repl/line_lengths", "The distribution of line lengths", "By")
+m_line_lengths = measure_module.MeasureInt("repl_line_lengths", "The distribution of line lengths", "By")
 
 # The stats recorder
 stats_recorder = stats.Stats().stats_recorder
 
 # Create the tag key
 key_method = tag_key_module.TagKey("method")
 
-latency_view = view_module.View("demo/latency", "The distribution of the latencies",
+latency_view = view_module.View("demo_latency", "The distribution of the latencies",
                 [key_method],
                 m_latency_ms,
 		# Latency in buckets:
 		# [>=0ms, >=25ms, >=50ms, >=75ms, >=100ms, >=200ms, >=400ms, >=600ms, >=800ms, >=1s, >=2s, >=4s, >=6s]
 		aggregation_module.DistributionAggregation([0, 25, 50, 75, 100, 200, 400, 600, 800, 1000, 2000, 4000, 6000]))
 
-line_count_view = view_module.View("demo/lines_in", "The number of lines from standard input",
+line_count_view = view_module.View("demo_lines_in", "The number of lines from standard input",
 		[],
                 m_lines_in,
                 aggregation_module.CountAggregation())
 
-error_count_view = view_module.View("demo/errors", "The number of errors encountered",
+error_count_view = view_module.View("demo_errors", "The number of errors encountered",
                 [key_method],
                 m_errors,
                 aggregation_module.CountAggregation())
 
-line_length_view = view_module.View("demo/line_lengths", "Groups the lengths of keys in buckets",
+line_length_view = view_module.View("demo_line_lengths", "Groups the lengths of keys in buckets",
                 [],
 		m_line_lengths,
 		# Lengths: [>=0B, >=5B, >=10B, >=15B, >=20B, >=40B, >=60B, >=80, >=100B, >=200B, >=400, >=600, >=800, >=1000]
@@ -319,41 +319,41 @@ from opencensus.tags import tag_value as tag_value_module
 
 # Create the measures
 # The latency in milliseconds
-m_latency_ms = measure_module.MeasureFloat("repl/latency", "The latency in milliseconds per REPL loop", "ms")
+m_latency_ms = measure_module.MeasureFloat("repl_latency", "The latency in milliseconds per REPL loop", "ms")
 
 # Counts the number of lines read in from standard input
-m_lines_in = measure_module.MeasureInt("repl/lines_in", "The number of lines read in", "1")
+m_lines_in = measure_module.MeasureInt("repl_lines_in", "The number of lines read in", "1")
 
 # Encounters the number of non EOF(end-of-file) errors.
-m_errors = measure_module.MeasureInt("repl/errors", "The number of errors encountered", "1")
+m_errors = measure_module.MeasureInt("repl_errors", "The number of errors encountered", "1")
 
 # Counts/groups the lengths of lines read in.
-m_line_lengths = measure_module.MeasureInt("repl/line_lengths", "The distribution of line lengths", "By")
+m_line_lengths = measure_module.MeasureInt("repl_line_lengths", "The distribution of line lengths", "By")
 
 # The stats recorder
 stats_recorder = stats.Stats().stats_recorder
 
 # Create the tag key
 key_method = tag_key_module.TagKey("method")
 
-latency_view = view_module.View("demo/latency", "The distribution of the latencies",
+latency_view = view_module.View("demo_latency", "The distribution of the latencies",
 [key_method],
 m_latency_ms,
 # Latency in buckets:
 # [>=0ms, >=25ms, >=50ms, >=75ms, >=100ms, >=200ms, >=400ms, >=600ms, >=800ms, >=1s, >=2s, >=4s, >=6s]
 aggregation_module.DistributionAggregation([0, 25, 50, 75, 100, 200, 400, 600, 800, 1000, 2000, 4000, 6000]))
 
-line_count_view = view_module.View("demo/lines_in", "The number of lines from standard input",
+line_count_view = view_module.View("demo_lines_in", "The number of lines from standard input",
 [],
 m_lines_in,
 aggregation_module.CountAggregation())
 
-error_count_view = view_module.View("demo/errors", "The number of errors encountered",
+error_count_view = view_module.View("demo_errors", "The number of errors encountered",
 [key_method],
 m_errors,
 aggregation_module.CountAggregation())
 
-line_length_view = view_module.View("demo/line_lengths", "Groups the lengths of keys in buckets",
+line_length_view = view_module.View("demo_line_lengths", "Groups the lengths of keys in buckets",
 [],
 m_line_lengths,
 # Lengths: [>=0B, >=5B, >=10B, >=15B, >=20B, >=40B, >=60B, >=80, >=100B, >=200B, >=400, >=600, >=800, >=1000]
@@ -456,41 +456,41 @@ from opencensus.tags import tag_value as tag_value_module
 
 # Create the measures
 # The latency in milliseconds
-m_latency_ms = measure_module.MeasureFloat("repl/latency", "The latency in milliseconds per REPL loop", "ms")
+m_latency_ms = measure_module.MeasureFloat("repl_latency", "The latency in milliseconds per REPL loop", "ms")
 
 # Counts the number of lines read in from standard input
-m_lines_in = measure_module.MeasureInt("repl/lines_in", "The number of lines read in", "1")
+m_lines_in = measure_module.MeasureInt("repl_lines_in", "The number of lines read in", "1")
 
 # Encounters the number of non EOF(end-of-file) errors.
-m_errors = measure_module.MeasureInt("repl/errors", "The number of errors encountered", "1")
+m_errors = measure_module.MeasureInt("repl_errors", "The number of errors encountered", "1")
 
 # Counts/groups the lengths of lines read in.
-m_line_lengths = measure_module.MeasureInt("repl/line_lengths", "The distribution of line lengths", "By")
+m_line_lengths = measure_module.MeasureInt("repl_line_lengths", "The distribution of line lengths", "By")
 
 # The stats recorder
 stats_recorder = stats.Stats().stats_recorder
 
 # Create the tag key
 key_method = tag_key_module.TagKey("method")
 
-latency_view = view_module.View("demo/latency", "The distribution of the latencies",
+latency_view = view_module.View("demo_latency", "The distribution of the latencies",
 [key_method],
 m_latency_ms,
 # Latency in buckets:
 # [>=0ms, >=25ms, >=50ms, >=75ms, >=100ms, >=200ms, >=400ms, >=600ms, >=800ms, >=1s, >=2s, >=4s, >=6s]
 aggregation_module.DistributionAggregation([0, 25, 50, 75, 100, 200, 400, 600, 800, 1000, 2000, 4000, 6000]))
 
-line_count_view = view_module.View("demo/lines_in", "The number of lines from standard input",
+line_count_view = view_module.View("demo_lines_in", "The number of lines from standard input",
 [],
 m_lines_in,
 aggregation_module.CountAggregation())
 
-error_count_view = view_module.View("demo/errors", "The number of errors encountered",
+error_count_view = view_module.View("demo_errors", "The number of errors encountered",
 [key_method],
 m_errors,
 aggregation_module.CountAggregation())
 
-line_length_view = view_module.View("demo/line_lengths", "Groups the lengths of keys in buckets",
+line_length_view = view_module.View("demo_line_lengths", "Groups the lengths of keys in buckets",
 [],
 m_line_lengths,
 # Lengths: [>=0B, >=5B, >=10B, >=15B, >=20B, >=40B, >=60B, >=80, >=100B, >=200B, >=400, >=600, >=800, >=1000]
@@ -583,12 +583,21 @@ prometheus --config.file=promconfig.yaml
 and then return to the terminal that's running the Python metrics quickstart and generate some work by typing inside it.
 
 ## Viewing your metrics
-With the above you should now be able to navigate to the Prometheus endpoint at http://localhost:8000
-
+With the above you should now be able to navigate to the Prometheus UI at http://localhost:9090
 which should show:
 
+* Available metrics
 ![](/images/metrics-python-prometheus-all-metrics.png)
 
+* Lines-in counts
+![](/images/metrics-python-prometheus-lines_in.png)
+
+* Latency distributions
+![](/images/metrics-python-prometheus-latency-distribution.png)
+
+* Line lengths distributions
+![](/images/metrics-python-prometheus-line_lengths-distribution.png)
+
 ## References
 
 Resource|URL