المراقبة باستخدام Telemetry والمقاييس
ادمجوا Telemetry في تطبيقكم لإصدار المقاييس واكتساب رؤى حول سلوكه أثناء التشغيل.
المراقبة باستخدام Telemetry والمقاييس درس مجاني في Elixir & Phoenix: Scalable Backend Development على CoddyKit. هذا هو الدرس 2 من أصل 4. يمكنك قراءة الدرس كاملاً أدناه مجاناً — ثم تمرن عليه مباشرة في المتصفح باستخدام محرر أكواد مدمج ومدرس ذكاء اصطناعي متاح 24/7. هذا الدرس جزء من مسار التعلم في Elixir & Phoenix: Scalable Backend Development، وتقدمك يتزامن عبر الويب وتطبيق CoddyKit. تتضمن دورة Elixir & Phoenix: Scalable Backend Development 4 دروس في المجموع.
بعض أجزاء هذا الدرس لم تُترجم بعد وتظهر باللغة الإنجليزية.
What is Elixir Telemetry?
In Elixir, Telemetry is a powerful, low-level event dispatching library. It helps you understand what's happening inside your running application.
- It's built into Elixir/OTP, making it a standard way to observe systems.
- Think of it as a central nervous system for your app's events.
- It enables you to collect metrics, trace operations, and monitor performance.
It's crucial for building observable and maintainable applications.
Events: The Core of Telemetry
Telemetry works by emitting events. An event is a signal that something notable has happened in your application.
- Each event has a unique name (a list of atoms, e.g.,
[:my_app, :user, :login]). - Events can carry measurements (numeric values like duration) and metadata (additional context like user ID).
- You don't emit events directly; instead, you use functions that wrap your code.
Measuring Duration with Telemetry.span
One common use of Telemetry is to measure how long an operation takes. This is done using :telemetry.span/3.
- It executes a given function and measures its execution time.
- It emits two events: one when the span starts and one when it ends.
- The end event includes the duration as a measurement.
This is great for profiling function calls or database queries.
Emitting Discrete Events with Telemetry.execute
Sometimes, you just want to signal that an action occurred, without necessarily measuring its duration. For this, use :telemetry.execute/3.
- It emits a single event with specified measurements and metadata.
- Useful for tracking things like cache hits/misses, background job completions, or specific API calls.
- It's a simpler, more direct way to emit a single point-in-time event.
Code: Emitting a Telemetry Span
Let's see :telemetry.span/3 in action. This example simulates a 'processing' task and measures its duration.
We define a simple module and call a function that wraps its work in a span.
defmodule MyApp.Worker do
require Logger
def process_data(data) do
Logger.info("Starting data processing...")
:telemetry.span(
[:my_app, :worker, :process_data],
%{input_length: byte_size(data)},
fn ->
# Simulate some work
:timer.sleep(100)
result = String.upcase(data)
{:ok, result}
end
)
end
end
# --- Main execution for CoddyKit ---
Logger.info("Calling MyApp.Worker.process_data...")
{:ok, result} = MyApp.Worker.process_data("hello elixir")
IO.puts("Processed result: #{result}")
IO.puts("\n(No Telemetry output yet - we need a handler!)")Attaching Telemetry Handlers
Emitting events is only half the story! To do something useful with them, you need to attach handlers.
- A handler is a function that gets called whenever a specific Telemetry event is emitted.
- You attach a handler using
:telemetry.attach/4, specifying the event name and your handler function. - Handlers allow you to react to events: log them, send them to a metrics system, or trigger other actions.
They are the listeners of your application's internal signals.
Handler Function Structure
A Telemetry handler function must accept four arguments:
event_name: The name of the event (e.g.,[:my_app, :user, :login]).measurements: A map of numeric values associated with the event (e.g.,%{duration: 123456}).metadata: A map of additional context (e.g.,%{user_id: 123}).config: Any custom configuration passed during attachment.
Your handler logic will use these arguments to process the event.
Code: Attaching and Handling Events
Now let's add a handler to our previous example. This handler will simply log the event details.
Notice how :telemetry.attach/4 links our handler function to the specific event name.
defmodule MyApp.WorkerWithHandler do
require Logger
# Define our simple handler function
def handle_event(event_name, measurements, metadata, _config) do
Logger.info("\n--- Telemetry Event Received ---")
Logger.info("Event: #{inspect(event_name)}")
Logger.info("Measurements: #{inspect(measurements)}")
Logger.info("Metadata: #{inspect(metadata)}")
Logger.info("------------------------------")
end
# Function that emits a Telemetry event
def process_data(data) do
Logger.info("Starting data processing...")
:telemetry.span(
[:my_app, :worker, :process_data],
%{input_length: byte_size(data)},
fn ->
:timer.sleep(100)
result = String.upcase(data)
{:ok, result}
end
)
end
end
# --- Main execution for CoddyKit ---
# Attach the handler *before* emitting events
:telemetry.attach(
"my-worker-handler",
[:my_app, :worker, :process_data], # Event name to listen for
&MyApp.WorkerWithHandler.handle_event/4, # Our handler function
nil # Optional config
)
Logger.info("Telemetry handler 'my-worker-handler' attached.")
# Perform some work, which will now trigger the handler
{:ok, result} = MyApp.WorkerWithHandler.process_data("hello world")
IO.puts("Processed result: #{result}")
# Clean up: detach the handler (good practice in tests/scripts)
:telemetry.detach("my-worker-handler")
Logger.info("Telemetry handler 'my-worker-handler' detached.")Telemetry as a Metrics Source
Telemetry is not a metrics system itself, but it's an excellent source for them. By attaching handlers, you can feed events into dedicated metrics libraries.
- Libraries like
telemetry_metricscan aggregate Telemetry events into counters, gauges, and histograms. - These aggregated metrics are then often exported to monitoring systems like Prometheus or Datadog.
- This separation keeps Telemetry lightweight and flexible, allowing you to choose your preferred metrics backend.
Quick Check: Telemetry Handlers
You've learned about emitting and handling Telemetry events. Let's test your understanding.
Recap: Telemetry for Observability
In this lesson, we explored Elixir's Telemetry library:
- Telemetry is an event dispatching system for internal application observability.
- It uses events with unique names, measurements, and metadata.
:telemetry.span/3measures code execution duration.:telemetry.execute/3emits discrete, point-in-time events.- Handlers are functions attached via
:telemetry.attach/4to process events. - Telemetry events are a prime source for building application metrics.
Mastering Telemetry is key to understanding and monitoring your Elixir applications effectively!
الأسئلة الشائعة
هل درس «المراقبة باستخدام Telemetry والمقاييس» مجاني؟
نعم — نص درس «المراقبة باستخدام Telemetry والمقاييس» كامل متاح مجاناً هنا على الويب. لتمرينه بشكل تفاعلي (محرر أكواد مدمج ومدرس ذكاء اصطناعي متاح 24/7) وفتح باقي دورة Elixir & Phoenix: Scalable Backend Development، انتقل إلى CoddyKit PRO. تتضمن دورة Elixir & Phoenix: Scalable Backend Development 4 دروس في المجموع.
ماذا ستتعلم في «المراقبة باستخدام Telemetry والمقاييس»؟
ادمجوا Telemetry في تطبيقكم لإصدار المقاييس واكتساب رؤى حول سلوكه أثناء التشغيل. تتمرن على Elixir & Phoenix: Scalable Backend Development مع أكواد عملية تشغلها مباشرة في المتصفح، ومدرس ذكاء اصطناعي متاح 24/7 يجيب على أسئلتك أثناء عملك.
هل أحتاج إلى خبرة سابقة لأبدأ Elixir & Phoenix: Scalable Backend Development؟
لا تُشترط خبرة سابقة. Elixir & Phoenix: Scalable Backend Development على CoddyKit منظم للمبتدئين حتى المتقدمين، لذا يمكنك البدء من هنا أو من البداية والتقدم بسرعتك الخاصة. هذا هو الدرس 2 من أصل 4.
كم من الوقت يستغرق درس «المراقبة باستخدام Telemetry والمقاييس»؟
معظم دروس CoddyKit تستغرق حوالي 5–10 دقائق. كل منها موجز وتفاعلي، لذا تحرز تقدماً مستمراً وتستأنف من حيث توقفت عبر الويب والتطبيق.
هل يمكنني كتابة وتشغيل أكواد في درس Elixir & Phoenix: Scalable Backend Development هذا؟
نعم. كل درس في Elixir & Phoenix: Scalable Backend Development يتضمن محرر أكواد مدمج، لذا تكتب وتشغل أكواداً حقيقية مباشرة في متصفحك وتحصل على تعليقات فورية من الذكاء الاصطناعي — بدون إعداد محلي.
جميع الدروس في هذه الدورة
- قياس الأداء وتحليله في Elixir
- المراقبة باستخدام Telemetry والمقاييس
- معالجة الأخطاء والتسجيل المنظّم
- التتبع الموزع باستخدام OpenTelemetry