diff --git a/examples/metrics/observer_example.py b/examples/metrics/observer_example.py
index fad2592683..5940d149e2 100644
--- a/examples/metrics/observer_example.py
+++ b/examples/metrics/observer_example.py
@@ -25,7 +25,7 @@
 from opentelemetry.sdk.metrics.export.controller import PushController
 
 # Configure a stateful batcher
-batcher = UngroupedBatcher(True)
+batcher = UngroupedBatcher(stateful=True)
 
 metrics.set_preferred_meter_implementation(lambda _: Meter(batcher))
 meter = metrics.meter()
@@ -34,7 +34,7 @@
 exporter = ConsoleMetricsExporter()
 
 # Configure a push controller
-controller = PushController(meter, exporter, 2)
+controller = PushController(meter=meter, exporter=exporter, interval=2)
 
 
 # Callback to gather cpu usage
@@ -45,12 +45,12 @@ def get_cpu_usage_callback(observer):
 
 
 meter.register_observer(
-    get_cpu_usage_callback,
-    "cpu_percent",
-    "per-cpu usage",
-    1,
-    float,
-    ("cpu_number",),
+    callback=get_cpu_usage_callback,
+    name="cpu_percent",
+    description="per-cpu usage",
+    unit="1",
+    value_type=float,
+    label_keys=("cpu_number",),
 )
 
 
@@ -61,7 +61,12 @@ def get_ram_usage_callback(observer):
 
 
 meter.register_observer(
-    get_ram_usage_callback, "ram_percent", "RAM memory usage", 1, float, (),
+    callback=get_ram_usage_callback,
+    name="ram_percent",
+    description="RAM memory usage",
+    unit="1",
+    value_type=float,
+    label_keys=(),
 )
 
 input("Press a key to finish...\n")
diff --git a/examples/metrics/record.py b/examples/metrics/record.py
index be68c8083f..64902c0573 100644
--- a/examples/metrics/record.py
+++ b/examples/metrics/record.py
@@ -30,15 +30,25 @@
 exporter = ConsoleMetricsExporter()
 # controller collects metrics created from meter and exports it via the
 # exporter every interval
-controller = PushController(meter, exporter, 5)
+controller = PushController(meter=meter, exporter=exporter, interval=5)
 
 # Example to show how to record using the meter
 counter = meter.create_metric(
-    "requests", "number of requests", 1, int, Counter, ("environment",)
+    name="requests",
+    description="number of requests",
+    unit="1",
+    value_type=int,
+    metric_type=Counter,
+    label_keys=("environment",),
 )
 
 counter2 = meter.create_metric(
-    "clicks", "number of clicks", 1, int, Counter, ("environment",)
+    name="clicks",
+    description="number of clicks",
+    unit="1",
+    value_type=int,
+    metric_type=Counter,
+    label_keys=("environment",),
 )
 
 # Labelsets are used to identify key-values that are associated with a specific
diff --git a/examples/metrics/simple_example.py b/examples/metrics/simple_example.py
index 75da80b73a..a5623ce6ad 100644
--- a/examples/metrics/simple_example.py
+++ b/examples/metrics/simple_example.py
@@ -29,6 +29,7 @@
 from opentelemetry.sdk.metrics.export.controller import PushController
 
 batcher_mode = "stateful"
+stateful_bacher = False
 
 
 def usage(argv):
@@ -50,7 +51,8 @@ def usage(argv):
 # lifetime.
 # False indicates the batcher computes checkpoints which describe the updates
 # of a single collection period (deltas)
-batcher = UngroupedBatcher(batcher_mode == "stateful")
+stateful_bacher = batcher_mode == "stateful"
+batcher = UngroupedBatcher(stateful=stateful_bacher)
 
 # If a batcher is not provided, a default batcher is used
 # Meter is responsible for creating and recording metrics
@@ -66,15 +68,30 @@ def usage(argv):
 
 # Metric instruments allow to capture measurements
 requests_counter = meter.create_metric(
-    "requests", "number of requests", 1, int, Counter, ("environment",)
+    name="requests",
+    description="number of requests",
+    unit="1",
+    value_type=int,
+    metric_type=Counter,
+    label_keys=("environment",),
 )
 
 clicks_counter = meter.create_metric(
-    "clicks", "number of clicks", 1, int, Counter, ("environment",)
+    name="clicks",
+    description="number of clicks",
+    unit="1",
+    value_type=int,
+    metric_type=Counter,
+    label_keys=("environment",),
 )
 
 requests_size = meter.create_metric(
-    "requests_size", "size of requests", 1, int, Measure, ("environment",)
+    name="requests_size",
+    description="size of requests",
+    unit="1",
+    value_type=int,
+    metric_type=Measure,
+    label_keys=("environment",),
 )
 
 # Labelsets are used to identify key-values that are associated with a specific
@@ -86,21 +103,15 @@ def usage(argv):
 # Update the metric instruments using the direct calling convention
 requests_size.record(100, staging_label_set)
 requests_counter.add(25, staging_label_set)
-# Sleep for 5 seconds, exported value should be 25
 time.sleep(5)
 
 requests_size.record(5000, staging_label_set)
 requests_counter.add(50, staging_label_set)
-# Exported value should be 75
 time.sleep(5)
 
 requests_size.record(2, testing_label_set)
 requests_counter.add(35, testing_label_set)
-# There should be two exported values 75 and 35, one for each labelset
 time.sleep(5)
 
 clicks_counter.add(5, staging_label_set)
-# There should be three exported values, labelsets can be reused for different
-# metrics but will be recorded seperately, 75, 35 and 5
-
 time.sleep(5)