azure-monitor-opentelemetry-exporter-py

仓库: sickn33/antigravity-awesome-skills
安装量: 40
排名: #18072

安装

npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-monitor-opentelemetry-exporter-py

Azure Monitor OpenTelemetry Exporter for Python Low-level exporter for sending OpenTelemetry traces, metrics, and logs to Application Insights. Installation pip install azure-monitor-opentelemetry-exporter Environment Variables APPLICATIONINSIGHTS_CONNECTION_STRING = InstrumentationKey = xxx ; IngestionEndpoint = https://xxx.in.applicationinsights.azure.com/ When to Use Scenario Use Quick setup, auto-instrumentation azure-monitor-opentelemetry (distro) Custom OpenTelemetry pipeline azure-monitor-opentelemetry-exporter (this) Fine-grained control over telemetry azure-monitor-opentelemetry-exporter (this) Trace Exporter from opentelemetry import trace from opentelemetry . sdk . trace import TracerProvider from opentelemetry . sdk . trace . export import BatchSpanProcessor from azure . monitor . opentelemetry . exporter import AzureMonitorTraceExporter

Create exporter

exporter

AzureMonitorTraceExporter ( connection_string = "InstrumentationKey=xxx;..." )

Configure tracer provider

trace . set_tracer_provider ( TracerProvider ( ) ) trace . get_tracer_provider ( ) . add_span_processor ( BatchSpanProcessor ( exporter ) )

Use tracer

tracer

trace . get_tracer ( name ) with tracer . start_as_current_span ( "my-span" ) : print ( "Hello, World!" ) Metric Exporter from opentelemetry import metrics from opentelemetry . sdk . metrics import MeterProvider from opentelemetry . sdk . metrics . export import PeriodicExportingMetricReader from azure . monitor . opentelemetry . exporter import AzureMonitorMetricExporter

Create exporter

exporter

AzureMonitorMetricExporter ( connection_string = "InstrumentationKey=xxx;..." )

Configure meter provider

reader

PeriodicExportingMetricReader ( exporter , export_interval_millis = 60000 ) metrics . set_meter_provider ( MeterProvider ( metric_readers = [ reader ] ) )

Use meter

meter

metrics . get_meter ( name ) counter = meter . create_counter ( "requests_total" ) counter . add ( 1 , { "route" : "/api/users" } ) Log Exporter import logging from opentelemetry . _logs import set_logger_provider from opentelemetry . sdk . _logs import LoggerProvider , LoggingHandler from opentelemetry . sdk . _logs . export import BatchLogRecordProcessor from azure . monitor . opentelemetry . exporter import AzureMonitorLogExporter

Create exporter

exporter

AzureMonitorLogExporter ( connection_string = "InstrumentationKey=xxx;..." )

Configure logger provider

logger_provider

LoggerProvider ( ) logger_provider . add_log_record_processor ( BatchLogRecordProcessor ( exporter ) ) set_logger_provider ( logger_provider )

Add handler to Python logging

handler

LoggingHandler ( level = logging . INFO , logger_provider = logger_provider ) logging . getLogger ( ) . addHandler ( handler )

Use logging

logger

logging . getLogger ( name ) logger . info ( "This will be sent to Application Insights" ) From Environment Variable Exporters read APPLICATIONINSIGHTS_CONNECTION_STRING automatically: from azure . monitor . opentelemetry . exporter import AzureMonitorTraceExporter

Connection string from environment

exporter

AzureMonitorTraceExporter ( ) Azure AD Authentication from azure . identity import DefaultAzureCredential from azure . monitor . opentelemetry . exporter import AzureMonitorTraceExporter exporter = AzureMonitorTraceExporter ( credential = DefaultAzureCredential ( ) ) Sampling Use ApplicationInsightsSampler for consistent sampling: from opentelemetry . sdk . trace import TracerProvider from opentelemetry . sdk . trace . sampling import ParentBasedTraceIdRatio from azure . monitor . opentelemetry . exporter import ApplicationInsightsSampler

Sample 10% of traces

sampler

ApplicationInsightsSampler ( sampling_ratio = 0.1 ) trace . set_tracer_provider ( TracerProvider ( sampler = sampler ) ) Offline Storage Configure offline storage for retry: from azure . monitor . opentelemetry . exporter import AzureMonitorTraceExporter exporter = AzureMonitorTraceExporter ( connection_string = "..." , storage_directory = "/path/to/storage" ,

Custom storage path

disable_offline_storage

False

Enable retry (default)

) Disable Offline Storage exporter = AzureMonitorTraceExporter ( connection_string = "..." , disable_offline_storage = True

No retry on failure

) Sovereign Clouds from azure . identity import AzureAuthorityHosts , DefaultAzureCredential from azure . monitor . opentelemetry . exporter import AzureMonitorTraceExporter

Azure Government

credential

DefaultAzureCredential ( authority = AzureAuthorityHosts . AZURE_GOVERNMENT ) exporter = AzureMonitorTraceExporter ( connection_string = "InstrumentationKey=xxx;IngestionEndpoint=https://xxx.in.applicationinsights.azure.us/" , credential = credential ) Exporter Types Exporter Telemetry Type Application Insights Table AzureMonitorTraceExporter Traces/Spans requests, dependencies, exceptions AzureMonitorMetricExporter Metrics customMetrics, performanceCounters AzureMonitorLogExporter Logs traces, customEvents Configuration Options Parameter Description Default connection_string Application Insights connection string From env var credential Azure credential for AAD auth None disable_offline_storage Disable retry storage False storage_directory Custom storage path Temp directory Best Practices Use BatchSpanProcessor for production (not SimpleSpanProcessor) Use ApplicationInsightsSampler for consistent sampling across services Enable offline storage for reliability in production Use AAD authentication instead of instrumentation keys Set export intervals appropriate for your workload Use the distro ( azure-monitor-opentelemetry ) unless you need custom pipelines

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