Introduction
In cloud-native technology stacks, distributed and polyglot architectures are the norm. Distributed architectures introduce a variety of operational challenges including how to solve availability and performance issues quickly. These challenges have led to the rise of observability.
Telemetry data is needed to power observability products. Traditionally, telemetry data has been provided by either open-source projects or commercial vendors. With a lack of standardization, the net result is the lack of data portability and the burden on the user to maintain the instrumentation.
The OpenTelemetry project solves these problems by providing a single, vendor-agnostic solution.
Architecture
OpenTelemetry is a set of APIs, SDKs, tooling and integrations that are designed for the creation and management of telemetry data such as traces, metrics, and logs.
This specification defines the behaviors that allow MicroProfile applications to easily participate in an environment where distributed tracing is enabled via OpenTelemetry (a merger between OpenTracing and OpenCensus).
This document and implementations MUST comply with the following OpenTelemetry 1.11.0 specifications:
-
OpenTelemetry Overview (except for Metrics)
Important
|
The Metrics and Logging integrations of OpenTelemetry are out of scope of this specification. Implementations are free to provide support for both Metrics and Logging if desired. |
This specification supports the following three type of instrumentions: Automatic Instrumentation, Manual Instrumentation and Agent Instrumentation.
Automatic Instrumentation
Jakarta RESTful Web Services (server and client), and MicroProfile REST Clients are automatically enlisted to participate in distributed tracing without code modification as specified in the Tracing API.
These should follow the rules specified in the Semantic Conventions section.
Manual Instrumentation
Explicit manual instrumentation can be added into a MicroProfile application in the following ways:
@WithSpan
Annotating a method in any Jakarta CDI aware beans with the io.opentelemetry.extension.annotations.WithSpan
annotation. This will create a new Span and establish any required relationships with the current Trace context.
Method parameters can be annotated with the io.opentelemetry.extension.annotations.SpanAttribute
annotation to
indicate which method parameters should be part of the Trace.
Example:
@ApplicationScoped
class SpanBean {
@WithSpan
void span() {
}
@WithSpan("name")
void spanName() {
}
@WithSpan(kind = SERVER)
void spanKind() {
}
@WithSpan
void spanArgs(@SpanAttribute(value = "arg") String arg) {
}
}
Obtain a SpanBuilder
By obtaining a SpanBuilder
from the current Tracer
and calling
io.opentelemetry.api.trace.Tracer.spanBuilder(String)
. In this case, it is the developer’s responsibility to ensure
that the Span
is properly created, closed, and propagated.
Example:
@RequestScoped
@Path("/")
public class SpanResource {
@Inject
Tracer tracer;
@GET
@Path("/span/new")
public Response spanNew() {
Span span = tracer.spanBuilder("span.new")
.setSpanKind(INTERNAL)
.setParent(Context.current().with(this.span))
.setAttribute("my.attribute", "value")
.startSpan();
span.end();
return Response.ok().build();
}
}
Note
|
Start and end a new Span will add a child Span to the current one enlisted by the automatic instrumentation
of Jakarta REST Applications.
|
Obtain the current Span
By obtaining the current Span
to add attributes. The Span lifecycle is managed by the implementation.
Example:
@RequestScoped
@Path("/")
public class SpanResource {
@GET
@Path("/span/current")
public Response spanCurrent() {
Span span = Span.current();
span.setAttribute("my.attribute", "value");
return Response.ok().build();
}
}
Or with CDI:
@RequestScoped
@Path("/")
public class SpanResource {
@Inject
Span span;
@GET
@Path("/span/current")
public Response spanCurrent() {
span.setAttribute("my.attribute", "value");
return Response.ok().build();
}
}
Agent Instrumentation
Implementations are free to support the OpenTelemetry Agent Instrumentation. This provides the ability to gather telemetry data without code modifications by attaching a Java Agent JAR to the running JVM.
If an implementation of MicroProfile Telemetry Tracing provides such support, it must conform to the instructions detailed in the OpenTelemetry Java Instrumentation project, including:
Both Agent and MicroProfile Telemetry Tracing Instrumentation (if any), must coexist with each other.
Access to the OpenTelemetry Tracing API
An implementation of MicroProfile Telemetry Tracing must provide the following CDI beans for supporting contextual instance injection:
-
io.opentelemetry.api.OpenTelemetry
-
io.opentelemetry.api.trace.Tracer
-
io.opentelemetry.api.trace.Span
-
io.opentelemetry.api.baggage.Baggage
Calling the OpenTelemetry API directly must work in the same way and yield the same results:
-
io.opentelemetry.api.GlobalOpenTelemetry.get()
-
io.opentelemetry.api.trace.Span.current()
-
io.opentelemetry.api.baggage.Baggage.current()
To obtain the Tracer
with the OpenTelemetry API, the consumer must use the exact same instrumentation name and version
used by the implementation. Failure to do so, may result in a different Tracer
and incorrect handling of the
OpenTelemetry data.
Configuration
OpenTelemetry must be configured by MicroProfile Config following the configuration properties detailed in:
-
OpenTelemetry SDK Autoconfigure (excluding properties related to Metrics).
An implementation may opt to not support a subset of configuration properties related to a specific configuration. For
instance, otel.traces.exporter
is required but if the implementation does not support jaeger
as a valid exporter,
then all configuration properties referring to otel.tracer.jaeger.*
are not required.
Semantic Conventions
The Trace Semantic Conventions for Spans and Attributes must be followed by any compatible implementation.
All attributes marked as required
must be present in the context of the Span where they are defined. Any other
attribute is optional. Implementations can also add their own attributes.
Tracing Enablement
By default, MicroProfile Telemetry tracing is off. In order to enable any of the tracing aspects, the configuration otel.experimental.sdk.enabled=true
must be specified in any of the config sources available via MicroProfile Config. This property is read once when the application is starting. Any changes afterwards will not take effect unless the application is restarted.
MicroProfile OpenTracing
MicroProfile Telemetry Tracing supercedes MicroProfile OpenTracing. Even if the end goal is the same, there are some considerable differences:
-
Different API (between OpenTracing and OpenTelemetry)
-
No
@Traced
annotation -
No specific MicroProfile configuration
-
No customization of Span name through MicroProfile API
-
Differences in attribute names and mandatory ones
For these reasons, the MicroProfile Telemetry Tracing specification does not provide any migration path between both projects. While it is certainly possible to achieve a migration path at the code level and at the specification level (at the expense of not following the main OpenTelemetry specification), it is unlikely to be able to achieve the same compatibility at the data layer. Regardless, implementations are still free to provide migration paths between MicroProfile OpenTracing and MicroProfile Telemetry Tracing.
If a migration path is provided, the bridge layer provided by OpenTelemetry should be used. This bridge layer implements OpenTracing APIs using OpenTelemetry APIs (more details can be found from OpenTracing Compatbility. The bridge layer takes OpenTelemetry Tracer and exposes as OpenTracing Tracer. See the example below.
//From the global OpenTelemetry configuration
Tracer tracer1 = OpenTracingShim.createTracerShim();
//From a provided OpenTelemetry instance oTel
Tracer tracer2 = OpenTracingShim.createTracerShim(oTel);
Afterwards, you can then register the tracer as the OpenTracing Global Tracer:
GlobalTracer.registerIfAbsent(tracer);