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Starfish Tracing Model #83

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181 changes: 181 additions & 0 deletions text/0083-starfish-tracing-model.md
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- Start Date: 2023-03-29
- RFC Type: feature
- RFC PR: [#83](https://github.com/getsentry/rfcs/pull/83)
- RFC Status: draft

# Summary

This RFC proposes a new tracing model for Sentry's performance product to better
address future product improvements. The goal of this model is to allow
**storing entire traces without gaps**, support **dynamic sampling**, **indexing
of spans** and to **extract metrics from spans pre-sampling**. This is an
evolution of the current transaction based approach.

# Motivation

Today Sentry has a strong concept of a "transaction" which appears in multiple parts of the
product. It is both the transport of span data, the billable entity and the only indexed
part of the product experience. This means that spans that exist outside of the transaction
cannot be represented and it also means that spans within a transaction are not indexed itself.
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The existing model has worked well for us to get started with evolving the Sentry errors
product to capture performance traces, but it has restricted out ability to evolve the product
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forward. It has created some restrictions on the SDK technology side (from high
memory pressure, payload size limits) and also has promoted a separate of transaction to
span on the API layer which is untypical for tracing products. It also has meant that Sentry
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has challenges with accepting traces coming directly from an OpenTelemetry exporter as the
transaction concept is not a concept that OpenTelemetry has.

We want to set a future direction that enables more flexible product choices and that we can
move towards from our existing tracing model. The goals are:

* Support capturing entire traces
* Have a data model story that allows us higher compatibility with Open Telemetry. Specifically
we want a model that would permit us to ingest Open Telemetry data right from an exporter
* Have a clear story for indexing and extracing metrics on a per-span level
* Unified spans and transactions from an SDK perspective
* Enable a path that allows clients to send 100% of spans outwards at least to a local aggregator,
preferrably a remote relay
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Which types of aggregation do you have in mind here ?
Is that the usual metrics extraction or something else?

* To better and directly support dynamic sampling in the core tracing model

We want to lay out a better path forward that

* capture entire traces
* browser tabs = a trace
* index and extract metrics on a span level
* clients send 100% of metrics
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maybe this is in the TODO, but how does this proposal help with this "100% sending" or "memory-pressure/payload size" issue listed above? what about the current CPU overhead?

It is helpful for me to remember our own sampling limits, even after dynamic sampling has been implemented, are often set extremely low for performance reasons https://github.com/getsentry/sentry/blob/cc47128efd5a00e66b2475acc318ff57860fdf94/src/sentry/utils/sdk.py#L35

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even with a local relay I don't understand how we could ever have metrics sampled enough to be useful for SLAs / Alerts where performance of the process is not severely degraded in medium throughput and above processes. It seems to me the only way to accomplish this is for metrics collection directly in the process.

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ah maybe this is what

extract metrics from spans pre-sampling.

is going to address?

* dynamic sampling narrows in on traces

# Terms

The new tracing model is an extension to our existing tracing model. As such we try go adhere
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to some of the existing terms. Note that this document is intentionally glossing over some of
the details to better describe the desired end result. Individual RFCs will have to be written
to narrow down on specific schema definitions.

## Session

A session is an optional concept when talking about user actors on the system. A
session outlives one or more traces and is exclusively used when talking about human
interactions with a system.

## Trace

A trace has no end. It bundles spans together, some of those spans are organized
into segments (marked in red in the graph). The user experience does not center
around a trace, which really is an internal way to bundle things together but it
narrows down on segments within the trace.

```mermaid
gantt
title Example Starfish Trace
dateFormat x
axisFormat %S.%L

section Frontend
/checkout :crit, 0, 1500ms
GET /api/session :150, 170ms
POST /api/analytics :190, 70ms
GET /api/checkout/state :200, 500ms
GET /api/checkout/cart :1100, 140ms
<App/> :1300, 180ms
POST /api/analytics :done, 1450, 70ms
GET /assistent/poll :done, 1450, 120ms
POST /api/analytics :done, 1580, 70ms

section API Service
/api/checkout/state :crit, 240, 440ms
cache.get session#58;[redacted] :360, 10ms
db.query select from session :370, 20ms
db.query select from user :390, 20ms
db.query select from checkout :410, 20ms
http.request GET http#58;//payments/poll :450, 210ms
thread.spawn refresh-checkout-cache :done, 670, 220ms

section Payment Service
/poll :crit, 470, 180ms
db.query select from payment :490, 30ms
db.query update payment :530, 60ms
```

## Span
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Spans are very similar to how the function today, but they get elevated to a more significant
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level. They largely follow the general semantics in the wider tracing eco system. To drive
our product ideas we are going to ensure that the quality of the spans is high and that they
provide at least the following pieces of information:

* `op`: defines the core operation that the span represents (eg: `db.query`)
* `description`: the most significant description of what this operation is (eg: the database query).
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I would heavily be in favor of re-naming this to name.

For those unfamiliar we currently have an inconsistency in the sentry schema where transactions have a name attribute and spans have a description (functionality identical).

I think most users are familiar with name as an attribute (closer to otel and other vendors as well then), and it would require less delta for us to approach.

We even alias span descriptions to names in the UI

image

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I think if we want to get rid of description as the primary field then we need to rethink how we do the UX around some of those pieces. We currently stash into description what others for instance stash into http.route etc.

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I don't think we need to get rid of description, simply just call it name instead of description. It can work the same exact way.

The description also gets processed and cleaned in the process.

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How do we expect to use this?
When we experimented with span search and when we built suspect spans one of the major issues was that all the useful information was stored unstructured in this field and all queries would have been regexes. It did not end well.

@nikhars , if this is going to be a searchable field you may want to look into ngram indexes.

* `trace_id`: a span relates to one trace by ID
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* `parent_id`: a span optionally points back to a parent trace which could be from a different
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service
* `segment_id`: a span that is part of a segment, always refers back to it.
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* `is_segment`: when set to `true` this span is a segment.
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If segment is meant to be either a transaction or an interaction, should we build it into the spec here?

so segment: "transaction" | "interaction" | null, where null says that the span is not a segment.

* `start_time` and `end_time` to give the span time information.
* `tags`: a key/value pair of arbitrary tags that are set per-span. Conceptionally however spans
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Currently there are a couple ways to store arbitrary data on the existing schema:

on transactions you have tags, contexts and extras (inherting from error events)

on spans you have tags and data.

As per our spec, tags are restricted to string keys -> string values, and have strict size limits., while data is restricted to string keys, but can have arbitrary values (with more liberal size limits).

This has lead to most of the SDKs storing arbitrary values in span data, and the OpenTelemetry conversion setting span attributes (otels arbitrary span data) in the data field as well.

Span data is now also used for semantic conventions, similar to how opentelemetry semantic conventions use otel span attributes. I would like to keep this behaviour. For example, the span.data with the key blocked_main_thread is used in the file io performance issue detector.

I would like an arbitrary place to continue to store data to still exist, so that means we either move to saying this is data, or we update the limitations on tags.

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I agree that we should be keeping this. I won't have time yet to focus on the span schema so if you want, maybe you can sketch this out directly on the RFC with what the schema should look like?

also inherit the tags of the segments they are contained in.
* `measurements`: are span specific metrics that are stored with the span. There is a natural
measurement of a span which is the `duration` which is automatically calculated from the difference
of the end to the start timestamp.

Spans always belong to a trace, but not all spans belong to a segment. A span not belonging to a
segment are referred to as "detached" spans, spans that belong to a segment are "attached" spans.
A span must only be attached to a segment if it belongs to the same process and service. Remote
spans must never be attached to a segment.
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## Transaction

Previously transaction referred to the container that held spans. In the future a "transaction"
refers to the name of a specific type of segment level span that describes a meaningful activity
that starts with a request, and results in some meaningful response. By definition a span that
holds a transaction tag becomes a "segment". Other than that, it's just a regular span.

## Segment

A segment is a special type of span that is the "logical" activity in a service. For instance a
segment can be the endpoint implementation of an API request, it could be a task that is processed
by a task worker, it could be the navigation a user performs in a UI or a screen transition.
Conceptionally segments fall into two categories: "transactions" which are quite mechanical and
clearly defined operations and "interactions" which are user triggered operations. The difference
is that an "interaction" has a human user as an actor in it, that might influence it, whereas a
"transaction" is unlikely to be interrupted once started. A user for instance is quite likely to
navigate again even before the previous interaction finished, whereas a task is more likely than no
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to conclude, even if what triggered the task is no longer interested in it's result.
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The primary user experience in the product can narrow down on certain segments and make the trace
explorable via that segment.

**Locality:** All the spans that are attached to a segment thus must be local to the service and process. It's
still possible for a span to relate to a child of a segment or a segment directly via the `parent_id`,
but the `segment_id` must not be set.

**Joining:** At the end of a segment an implicit join is taking place. Any span
*that has not concluded
yet will be detached from the segment. In the following example the `<App/>`
span is part of the segment `/checkout` still where as the HTTP request related
spans that did not finish when the `/checkout` segment ended are then detached:

```mermaid
gantt
title Trace Showing Attached and Detached Spans
dateFormat x
axisFormat %S.%L

section Frontend
/checkout :crit, 0, 500ms
<App/> :300, 180ms
POST /api/analytics :done, 450, 70ms
GET /assistent/poll :done, 450, 120ms
POST /api/analytics :done, 580, 70ms
```

# Drawbacks

# TODO

* metrics extraction
* tag propagation
* transitional mapping