Add Spell Checker

.github/_typos.toml

@@ -0,0 +1,26 @@
+# Configuration for typos spell checker
+# See: https://github.com/crate-ci/typos
+
+[default.extend-words]
+# "gauge" is correct for metrics (typos incorrectly suggests "gage")
+Gauge = "Gauge"
+gauge = "gauge"
+
+[default]
+extend-ignore-re = [
+  # Line ignore: // typos:disable-line or # typos:disable-line
+  "(?Rm)^.*(#|//)\\s*typos:disable-line$",
+  # Block ignore: // typos:off ... // typos:on
+  "(?s)(#|//)\\s*typos:off.*?\\n\\s*(#|//)\\s*typos:on",
+  # Next-line ignore: // typos:ignore-next-line
+  "(#|//)\\s*typos:ignore-next-line\\n.*",
+]
+
+[files]
+extend-exclude = [
+  "*.pb.go",
+  "*.gen.go",
+  "**/testdata/**",
+  "*.svg",
+  "go.sum",
+]

.github/workflows/typos.yaml

@@ -0,0 +1,20 @@
+name: Spell Check
+
+on:
+  pull_request:
+
+permissions:
+  contents: read
+
+jobs:
+  typos:
+    name: Check spelling
+    runs-on: ubuntu-latest
+    timeout-minutes: 5
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Check spelling with typos
+        uses: crate-ci/[email protected]
+        with:
+          config: .github/_typos.toml

cloud/observability/README.md

@@ -95,7 +95,7 @@ sequenceDiagram
         Gathering ->> Temporal Server: scrape
         Gathering ->> Processing: push
     end 
-    Note right of Processing: Gathering is<br>gobally distributed<br>and pushed at<br>various times
+    Note right of Processing: Gathering is<br>globally distributed<br>and pushed at<br>various times
     loop 30s interval
         Processing ->> Processing: aggregate
             Note right of Processing: Aggregation is over<br>a look back

cloud/observability/promql-to-dd-go/examples/datadog_dashboard.json

@@ -420,7 +420,7 @@
           {
             "id": 6576468107016944,
             "definition": {
-              "title": "StartWorkflowExecutino Latency",
+              "title": "StartWorkflowExecution Latency",
               "title_size": "16",
               "title_align": "left",
               "show_legend": true,

cloud/observability/promql-to-dd-go/worker/utils_test.go

@@ -57,7 +57,7 @@ func TestPromHistogramToDatadogGauge(t *testing.T) {
 			},
 		},
 		{
-			name:       "contains NaN vlaues",
+			name:       "contains NaN values",
 			metricName: "latency",
 			quantile:   0.5,
 			matrix: model.Matrix{

cloud/observability/promql-to-dd-ts/src/index.ts

@@ -188,15 +188,15 @@ const queryPrometheusHistogram = async (
     return queryResponseDataSchema.parse(response.data).data
 }
 
-const convertPrometheusHistogramToDatadogGuageSeries = (
+const convertPrometheusHistogramToDatadogGaugeSeries = (
     metricName: string,
     quantile: number,
     metricData: MetricData,
 ): v2.MetricSeries[] =>
     metricData.result.map(prometheusMetric => ({
         // Make it easier for the datadog user to understand what this metric is
         metric: DATADOG_METRIC_PREFIX + metricName.split('_bucket')[0] + '_P' + quantile * 100,
-        // Type 2 is a "guage" metric
+        // Type 3 is a "gauge" metric
         type: 3,
         points: prometheusMetric.values.map(([timestamp, value]) => {
             return {
@@ -246,9 +246,9 @@ const main = async () => {
             ),
         )).flat()
 
-        const guageSeries = (await Promise.all(histogramMetricNames.map(async metricName =>
+        const gaugeSeries = (await Promise.all(histogramMetricNames.map(async metricName =>
             Promise.all(HISTOGRAM_QUANTILES.map(async quantile =>
-                convertPrometheusHistogramToDatadogGuageSeries(
+                convertPrometheusHistogramToDatadogGaugeSeries(
                     metricName,
                     quantile,
                     await queryPrometheusHistogram(metricName, quantile, generateQueryWindow())
@@ -259,7 +259,7 @@ const main = async () => {
         console.log({ level: 'info', message: 'Submitting metrics to Datadog' })
         await datadogMetricsApi.submitMetrics({ body: { series: [
                     ...countSeries,
-                    ...guageSeries,
+                    ...gaugeSeries,
                 ]}})
 
         console.log({ level: 'info', message: 'Pausing for 20s' })

cloud/observability/promql-to-dd.py

@@ -3,7 +3,7 @@
 promql-to-dd.py - Import counters and histograms from prometheus api endpoint into datadog
 
 While this demonstrates how to import prometheus api data using the datadog metrics API,
-there is a lot of room for improvement in terms of efficency and error handling.
+there is a lot of room for improvement in terms of efficiency and error handling.
 
 To view this data in DataDog Metrics:
 * use sum and as_rate for rate metrics
@@ -105,7 +105,7 @@ def retryable_submit_metrics(datadog_api: MetricsApi, body: MetricPayload):
 
 def submit_datadog_series(datadog_api: MetricsApi, series: Iterable):
     print(f"{datetime.now()}: Ingesting {len(series)} series into DataDog")
-    # submit 200 series at a time as a naieve optimization
+    # submit 200 series at a time as a naive optimization
     # this could be tuned to submit upto 5MB of metrics
     # data compressed to a size of upto 512KB
     non_empty_responses = []

tls/tls-simple/generate-test-certs.sh

@@ -1,5 +1,5 @@
 # This scripts generates test keys and certificates for the sample.
-# In a production environment such artifacts should be genrated
+# In a production environment such artifacts should be generated
 # by a proper certificate authority and handled in a secure manner.
 
 CERTS_DIR=./certs