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@reiver ⊼ (Charles) :batman: boosted
Nick Istre
Nick Istre
@nickistre@floss.social  ·  activity timestamp 3 weeks ago

So now it's my turn for a #getFediHired post. A couple decades in #softwareEngineering, specializing in #CloudNative systems, #Kubernetes and #opentelemetry. I can do #DevOps, #backendDevelopment and #platformEngineering. Languages I've worked in include #goLang, #PHP, #NodeJS and #Python, and I can learn more. Open to hybrid work in the Seattle area or remote work, contract or full-time. Feel free to contact me or boost!

https://www.linkedin.com/in/nicholas-p-istre-36038810/

#FediHire #JobSearch #lookingForWork

Nicholas P Istre - Samsung SDS America | LinkedIn

I am a programmer with a wide breadth of experience in server, network, and database… · Experience: Samsung SDS America · Education: University of Louisiana at Lafayette · Location: Greater Seattle Area · 303 connections on LinkedIn. View Nicholas P Istre’s profile on LinkedIn, a professional community of 1 billion members.
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Nick Istre
Nick Istre
@nickistre@floss.social  ·  activity timestamp 3 weeks ago

So now it's my turn for a #getFediHired post. A couple decades in #softwareEngineering, specializing in #CloudNative systems, #Kubernetes and #opentelemetry. I can do #DevOps, #backendDevelopment and #platformEngineering. Languages I've worked in include #goLang, #PHP, #NodeJS and #Python, and I can learn more. Open to hybrid work in the Seattle area or remote work, contract or full-time. Feel free to contact me or boost!

https://www.linkedin.com/in/nicholas-p-istre-36038810/

#FediHire #JobSearch #lookingForWork

Nicholas P Istre - Samsung SDS America | LinkedIn

I am a programmer with a wide breadth of experience in server, network, and database… · Experience: Samsung SDS America · Education: University of Louisiana at Lafayette · Location: Greater Seattle Area · 303 connections on LinkedIn. View Nicholas P Istre’s profile on LinkedIn, a professional community of 1 billion members.
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Dane 🇮🇪🇺🇦🇻🇪🖖⚛️☮️☸️🕉️ boosted
Aaron Lord :csharp:
Aaron Lord :csharp:
@devlord@hachyderm.io  ·  activity timestamp 2 months ago

OK, search on Ecosia isn't helping so I'm turning to Mastodon. This is a #react #OpenTelemetry question. I'm using XMLHttpRequestInstrumentation to log traces but my web app has multiple requests in order to render a page. How do I put multiple requests in the same trace id? Perhaps I can use DocumentLoadInstrumentation, but sometimes the app behaves like a SPA and the lifespan will be way too long. I could also use UserInteractionInstrumentation but it's WAY too noisy. I don't need to track every click event. For budgetary reasons, in the end, I'd like to only dispatch to the collector if an error occurs in any part of the span.

  registerInstrumentations({
    instrumentations: [
      new XMLHttpRequestInstrumentation({
        propagateTraceHeaderCorsUrls: [ new RegExp(Configuration.ApiBaseUrl + ".*") ],
        applyCustomAttributesOnSpan: (span, xhr) => {
          const userContext = store.getState().userContext as UserContextState | undefined;
          if (userContext && userContext.userId) {
            span.setAttribute("user.id", userContext.userId);
          }
          if (xhr.status >= 400) {
            span.setStatus({
              code: SpanStatusCode.ERROR,
              message: `HTTP Error ${xhr.status}`
            });
          }
        }
      }),
registerInstrumentations({ instrumentations: [ new XMLHttpRequestInstrumentation({ propagateTraceHeaderCorsUrls: [ new RegExp(Configuration.ApiBaseUrl + ".*") ], applyCustomAttributesOnSpan: (span, xhr) => { const userContext = store.getState().userContext as UserContextState | undefined; if (userContext && userContext.userId) { span.setAttribute("user.id", userContext.userId); } if (xhr.status >= 400) { span.setStatus({ code: SpanStatusCode.ERROR, message: `HTTP Error ${xhr.status}` }); } } }),
registerInstrumentations({ instrumentations: [ new XMLHttpRequestInstrumentation({ propagateTraceHeaderCorsUrls: [ new RegExp(Configuration.ApiBaseUrl + ".*") ], applyCustomAttributesOnSpan: (span, xhr) => { const userContext = store.getState().userContext as UserContextState | undefined; if (userContext && userContext.userId) { span.setAttribute("user.id", userContext.userId); } if (xhr.status >= 400) { span.setStatus({ code: SpanStatusCode.ERROR, message: `HTTP Error ${xhr.status}` }); } } }),
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Aaron Lord :csharp:
Aaron Lord :csharp:
@devlord@hachyderm.io  ·  activity timestamp 2 months ago

OK, search on Ecosia isn't helping so I'm turning to Mastodon. This is a #react #OpenTelemetry question. I'm using XMLHttpRequestInstrumentation to log traces but my web app has multiple requests in order to render a page. How do I put multiple requests in the same trace id? Perhaps I can use DocumentLoadInstrumentation, but sometimes the app behaves like a SPA and the lifespan will be way too long. I could also use UserInteractionInstrumentation but it's WAY too noisy. I don't need to track every click event. For budgetary reasons, in the end, I'd like to only dispatch to the collector if an error occurs in any part of the span.

  registerInstrumentations({
    instrumentations: [
      new XMLHttpRequestInstrumentation({
        propagateTraceHeaderCorsUrls: [ new RegExp(Configuration.ApiBaseUrl + ".*") ],
        applyCustomAttributesOnSpan: (span, xhr) => {
          const userContext = store.getState().userContext as UserContextState | undefined;
          if (userContext && userContext.userId) {
            span.setAttribute("user.id", userContext.userId);
          }
          if (xhr.status >= 400) {
            span.setStatus({
              code: SpanStatusCode.ERROR,
              message: `HTTP Error ${xhr.status}`
            });
          }
        }
      }),
registerInstrumentations({ instrumentations: [ new XMLHttpRequestInstrumentation({ propagateTraceHeaderCorsUrls: [ new RegExp(Configuration.ApiBaseUrl + ".*") ], applyCustomAttributesOnSpan: (span, xhr) => { const userContext = store.getState().userContext as UserContextState | undefined; if (userContext && userContext.userId) { span.setAttribute("user.id", userContext.userId); } if (xhr.status >= 400) { span.setStatus({ code: SpanStatusCode.ERROR, message: `HTTP Error ${xhr.status}` }); } } }),
registerInstrumentations({ instrumentations: [ new XMLHttpRequestInstrumentation({ propagateTraceHeaderCorsUrls: [ new RegExp(Configuration.ApiBaseUrl + ".*") ], applyCustomAttributesOnSpan: (span, xhr) => { const userContext = store.getState().userContext as UserContextState | undefined; if (userContext && userContext.userId) { span.setAttribute("user.id", userContext.userId); } if (xhr.status >= 400) { span.setStatus({ code: SpanStatusCode.ERROR, message: `HTTP Error ${xhr.status}` }); } } }),
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The Fulcrum 🏴‍☠️ ⛓️‍💥 🛠️ and 3 others boosted
Fedify: an ActivityPub server framework
Fedify: an ActivityPub server framework
@fedify@hollo.social  ·  activity timestamp 2 months ago

Fedify 1.10.0: Observability foundations for the future debug dashboard

Fedify is a #TypeScript framework for building #ActivityPub servers that participate in the #fediverse. It reduces the complexity and boilerplate typically required for ActivityPub implementation while providing comprehensive federation capabilities.

We're excited to announce #Fedify 1.10.0, a focused release that lays critical groundwork for future debugging and observability features. Released on December 24, 2025, this version introduces infrastructure improvements that will enable the upcoming debug dashboard while maintaining full backward compatibility with existing Fedify applications.

This release represents a transitional step toward Fedify 2.0.0, introducing optional capabilities that will become standard in the next major version. The changes focus on enabling richer observability through OpenTelemetry enhancements and adding prefix scanning capabilities to the key–value store interface.

Enhanced OpenTelemetry instrumentation

Fedify 1.10.0 significantly expands OpenTelemetry instrumentation with span events that capture detailed ActivityPub data. These enhancements enable richer observability and debugging capabilities without relying solely on span attributes, which are limited to primitive values.

The new span events provide complete activity payloads and verification status, making it possible to build comprehensive debugging tools that show the full context of federation operations:

  • activitypub.activity.received event on activitypub.inbox span — records the full activity JSON, verification status (activity verified, HTTP signatures verified, Linked Data signatures verified), and actor information
  • activitypub.activity.sent event on activitypub.send_activity span — records the full activity JSON and target inbox URL
  • activitypub.object.fetched event on activitypub.lookup_object span — records the fetched object's type and complete JSON-LD representation

Additionally, Fedify now instruments previously uncovered operations:

  • activitypub.fetch_document span for document loader operations, tracking URL fetching, HTTP redirects, and final document URLs
  • activitypub.verify_key_ownership span for cryptographic key ownership verification, recording actor ID, key ID, verification result, and the verification method used

These instrumentation improvements emerged from work on issue #234 (Real-time ActivityPub debug dashboard). Rather than introducing a custom observer interface as originally proposed in #323, we leveraged Fedify's existing OpenTelemetry infrastructure to capture rich federation data through span events. This approach provides a standards-based foundation that's composable with existing observability tools like Jaeger, Zipkin, and Grafana Tempo.

Distributed trace storage with FedifySpanExporter

Building on the enhanced instrumentation, Fedify 1.10.0 introduces FedifySpanExporter, a new OpenTelemetry SpanExporter that persists ActivityPub activity traces to a KvStore. This enables distributed tracing support across multiple nodes in a Fedify deployment, which is essential for building debug dashboards that can show complete request flows across web servers and background workers.

The new @fedify/fedify/otel module provides the following types and interfaces:

import { MemoryKvStore } from "@fedify/fedify";
import { FedifySpanExporter } from "@fedify/fedify/otel";
import {
 BasicTracerProvider,
 SimpleSpanProcessor,
} from "@opentelemetry/sdk-trace-base";

const kv = new MemoryKvStore();
const exporter = new FedifySpanExporter(kv, {
 ttl: Temporal.Duration.from({ hours: 1 }),
});

const provider = new BasicTracerProvider();
provider.addSpanProcessor(new SimpleSpanProcessor(exporter));

The stored traces can be queried for display in debugging interfaces:

// Get all activities for a specific trace
const activities = await exporter.getActivitiesByTraceId(traceId);

// Get recent traces with summary information
const recentTraces = await exporter.getRecentTraces({ limit: 100 });

The exporter supports two storage strategies depending on the KvStore capabilities. When the list() method is available (preferred), it stores individual records with keys like [prefix, traceId, spanId]. When only cas() is available, it uses compare-and-swap operations to append records to arrays stored per trace.

This infrastructure provides the foundation for implementing a comprehensive debug dashboard as a custom SpanExporter, as outlined in the updated implementation plan for issue #234.

Optional list() method for KvStore interface

Fedify 1.10.0 adds an optional list() method to the KvStore interface for enumerating entries by key prefix. This method enables efficient prefix scanning, which is useful for implementing features like distributed trace storage, cache invalidation by prefix, and listing related entries.

interface KvStore {
 // ... existing methods
 list?(prefix?: KvKey): AsyncIterable<KvStoreListEntry>;
}

When the prefix parameter is omitted or empty, list() returns all entries in the store. This is useful for debugging and administrative purposes. All official KvStore implementations have been updated to support this method:

  • MemoryKvStore — filters in-memory keys by prefix
  • SqliteKvStore — uses LIKE query with JSON key pattern
  • PostgresKvStore — uses array slice comparison
  • RedisKvStore — uses SCAN with pattern matching and key deserialization
  • DenoKvStore — delegates to Deno KV's built-in list() API
  • WorkersKvStore — uses Cloudflare Workers KV list() with JSON key prefix pattern

While list() is currently optional to give existing custom KvStore implementations time to add support, it will become a required method in Fedify 2.0.0 (tracked in issue #499). This migration path allows implementers to gradually adopt the new capability throughout the 1.x release cycle.

The addition of list() support was implemented in pull request #500, which also included the setup of proper testing infrastructure for WorkersKvStore using Vitest with @cloudflare/vitest-pool-workers.

NestJS 11 and Express 5 support

Thanks to a contribution from Cho Hasang (@crohasang), the @fedify/nestjs package now supports NestJS 11 environments that use Express 5. The peer dependency range for Express has been widened to ^4.0.0 || ^5.0.0, eliminating peer dependency conflicts in modern NestJS projects while maintaining backward compatibility with Express 4.

This change, implemented in pull request #493, keeps the workspace catalog pinned to Express 4 for internal development and test stability while allowing Express 5 in consuming applications.

What's next

Fedify 1.10.0 serves as a stepping stone toward the upcoming 2.0.0 release. The optional list() method introduced in this version will become required in 2.0.0, simplifying the interface contract and allowing Fedify internals to rely on prefix scanning being universally available.

The enhanced #OpenTelemetry instrumentation and FedifySpanExporter provide the foundation for implementing the debug dashboard proposed in issue #234. The next steps include building the web dashboard UI with real-time activity lists, filtering, and JSON inspection capabilities—all as a separate package that leverages the standards-based observability infrastructure introduced in this release.

Depending on the development timeline and feature priorities, there may be additional 1.x releases before the 2.0.0 migration. For developers building custom KvStore implementations, now is the time to add list() support to prepare for the eventual 2.0.0 upgrade. The implementation patterns used in the official backends provide clear guidance for various storage strategies.

Acknowledgments

Special thanks to Cho Hasang (@crohasang) for the NestJS 11 compatibility improvements, and to all community members who provided feedback and testing for the new observability features.

For the complete list of changes, bug fixes, and improvements, please refer to the CHANGES.md file in the repository.

#fedidev #release

GitHub

fedify/CHANGES.md at main · fedify-dev/fedify

ActivityPub server framework in TypeScript. Contribute to fedify-dev/fedify development by creating an account on GitHub.

Integration | Fedify

Fedify is designed to be used together with web frameworks. This document explains how to integrate Fedify with web frameworks.

Key–value store | Fedify

Fedify docs

OpenTelemetry | Fedify

OpenTelemetry is a set of APIs, libraries, agents, and instrumentation to provide observability to your applications. Fedify supports OpenTelemetry for tracing. This document explains how to use OpenTelemetry with Fedify.
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洪 民憙 (Hong Minhee) :nonbinary:
洪 民憙 (Hong Minhee) :nonbinary:
@hongminhee@hollo.social  ·  activity timestamp 2 months ago

Fedify 1.10.0: Observability foundations for the future debug dashboard

Fedify is a #TypeScript framework for building #ActivityPub servers that participate in the #fediverse. It reduces the complexity and boilerplate typically required for ActivityPub implementation while providing comprehensive federation capabilities.

We're excited to announce #Fedify 1.10.0, a focused release that lays critical groundwork for future debugging and observability features. Released on December 24, 2025, this version introduces infrastructure improvements that will enable the upcoming debug dashboard while maintaining full backward compatibility with existing Fedify applications.

This release represents a transitional step toward Fedify 2.0.0, introducing optional capabilities that will become standard in the next major version. The changes focus on enabling richer observability through OpenTelemetry enhancements and adding prefix scanning capabilities to the key–value store interface.

Enhanced OpenTelemetry instrumentation

Fedify 1.10.0 significantly expands OpenTelemetry instrumentation with span events that capture detailed ActivityPub data. These enhancements enable richer observability and debugging capabilities without relying solely on span attributes, which are limited to primitive values.

The new span events provide complete activity payloads and verification status, making it possible to build comprehensive debugging tools that show the full context of federation operations:

  • activitypub.activity.received event on activitypub.inbox span — records the full activity JSON, verification status (activity verified, HTTP signatures verified, Linked Data signatures verified), and actor information
  • activitypub.activity.sent event on activitypub.send_activity span — records the full activity JSON and target inbox URL
  • activitypub.object.fetched event on activitypub.lookup_object span — records the fetched object's type and complete JSON-LD representation

Additionally, Fedify now instruments previously uncovered operations:

  • activitypub.fetch_document span for document loader operations, tracking URL fetching, HTTP redirects, and final document URLs
  • activitypub.verify_key_ownership span for cryptographic key ownership verification, recording actor ID, key ID, verification result, and the verification method used

These instrumentation improvements emerged from work on issue #234 (Real-time ActivityPub debug dashboard). Rather than introducing a custom observer interface as originally proposed in #323, we leveraged Fedify's existing OpenTelemetry infrastructure to capture rich federation data through span events. This approach provides a standards-based foundation that's composable with existing observability tools like Jaeger, Zipkin, and Grafana Tempo.

Distributed trace storage with FedifySpanExporter

Building on the enhanced instrumentation, Fedify 1.10.0 introduces FedifySpanExporter, a new OpenTelemetry SpanExporter that persists ActivityPub activity traces to a KvStore. This enables distributed tracing support across multiple nodes in a Fedify deployment, which is essential for building debug dashboards that can show complete request flows across web servers and background workers.

The new @fedify/fedify/otel module provides the following types and interfaces:

import { MemoryKvStore } from "@fedify/fedify";
import { FedifySpanExporter } from "@fedify/fedify/otel";
import {
 BasicTracerProvider,
 SimpleSpanProcessor,
} from "@opentelemetry/sdk-trace-base";

const kv = new MemoryKvStore();
const exporter = new FedifySpanExporter(kv, {
 ttl: Temporal.Duration.from({ hours: 1 }),
});

const provider = new BasicTracerProvider();
provider.addSpanProcessor(new SimpleSpanProcessor(exporter));

The stored traces can be queried for display in debugging interfaces:

// Get all activities for a specific trace
const activities = await exporter.getActivitiesByTraceId(traceId);

// Get recent traces with summary information
const recentTraces = await exporter.getRecentTraces({ limit: 100 });

The exporter supports two storage strategies depending on the KvStore capabilities. When the list() method is available (preferred), it stores individual records with keys like [prefix, traceId, spanId]. When only cas() is available, it uses compare-and-swap operations to append records to arrays stored per trace.

This infrastructure provides the foundation for implementing a comprehensive debug dashboard as a custom SpanExporter, as outlined in the updated implementation plan for issue #234.

Optional list() method for KvStore interface

Fedify 1.10.0 adds an optional list() method to the KvStore interface for enumerating entries by key prefix. This method enables efficient prefix scanning, which is useful for implementing features like distributed trace storage, cache invalidation by prefix, and listing related entries.

interface KvStore {
 // ... existing methods
 list?(prefix?: KvKey): AsyncIterable<KvStoreListEntry>;
}

When the prefix parameter is omitted or empty, list() returns all entries in the store. This is useful for debugging and administrative purposes. All official KvStore implementations have been updated to support this method:

  • MemoryKvStore — filters in-memory keys by prefix
  • SqliteKvStore — uses LIKE query with JSON key pattern
  • PostgresKvStore — uses array slice comparison
  • RedisKvStore — uses SCAN with pattern matching and key deserialization
  • DenoKvStore — delegates to Deno KV's built-in list() API
  • WorkersKvStore — uses Cloudflare Workers KV list() with JSON key prefix pattern

While list() is currently optional to give existing custom KvStore implementations time to add support, it will become a required method in Fedify 2.0.0 (tracked in issue #499). This migration path allows implementers to gradually adopt the new capability throughout the 1.x release cycle.

The addition of list() support was implemented in pull request #500, which also included the setup of proper testing infrastructure for WorkersKvStore using Vitest with @cloudflare/vitest-pool-workers.

NestJS 11 and Express 5 support

Thanks to a contribution from Cho Hasang (@crohasang), the @fedify/nestjs package now supports NestJS 11 environments that use Express 5. The peer dependency range for Express has been widened to ^4.0.0 || ^5.0.0, eliminating peer dependency conflicts in modern NestJS projects while maintaining backward compatibility with Express 4.

This change, implemented in pull request #493, keeps the workspace catalog pinned to Express 4 for internal development and test stability while allowing Express 5 in consuming applications.

What's next

Fedify 1.10.0 serves as a stepping stone toward the upcoming 2.0.0 release. The optional list() method introduced in this version will become required in 2.0.0, simplifying the interface contract and allowing Fedify internals to rely on prefix scanning being universally available.

The enhanced #OpenTelemetry instrumentation and FedifySpanExporter provide the foundation for implementing the debug dashboard proposed in issue #234. The next steps include building the web dashboard UI with real-time activity lists, filtering, and JSON inspection capabilities—all as a separate package that leverages the standards-based observability infrastructure introduced in this release.

Depending on the development timeline and feature priorities, there may be additional 1.x releases before the 2.0.0 migration. For developers building custom KvStore implementations, now is the time to add list() support to prepare for the eventual 2.0.0 upgrade. The implementation patterns used in the official backends provide clear guidance for various storage strategies.

Acknowledgments

Special thanks to Cho Hasang (@crohasang) for the NestJS 11 compatibility improvements, and to all community members who provided feedback and testing for the new observability features.

For the complete list of changes, bug fixes, and improvements, please refer to the CHANGES.md file in the repository.

#fedidev #release

GitHub

fedify/CHANGES.md at main · fedify-dev/fedify

ActivityPub server framework in TypeScript. Contribute to fedify-dev/fedify development by creating an account on GitHub.

Integration | Fedify

Fedify is designed to be used together with web frameworks. This document explains how to integrate Fedify with web frameworks.

Key–value store | Fedify

Fedify docs

OpenTelemetry | Fedify

OpenTelemetry is a set of APIs, libraries, agents, and instrumentation to provide observability to your applications. Fedify supports OpenTelemetry for tracing. This document explains how to use OpenTelemetry with Fedify.
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Fedify: an ActivityPub server framework
Fedify: an ActivityPub server framework
@fedify@hollo.social  ·  activity timestamp 2 months ago

Fedify 1.10.0: Observability foundations for the future debug dashboard

Fedify is a #TypeScript framework for building #ActivityPub servers that participate in the #fediverse. It reduces the complexity and boilerplate typically required for ActivityPub implementation while providing comprehensive federation capabilities.

We're excited to announce #Fedify 1.10.0, a focused release that lays critical groundwork for future debugging and observability features. Released on December 24, 2025, this version introduces infrastructure improvements that will enable the upcoming debug dashboard while maintaining full backward compatibility with existing Fedify applications.

This release represents a transitional step toward Fedify 2.0.0, introducing optional capabilities that will become standard in the next major version. The changes focus on enabling richer observability through OpenTelemetry enhancements and adding prefix scanning capabilities to the key–value store interface.

Enhanced OpenTelemetry instrumentation

Fedify 1.10.0 significantly expands OpenTelemetry instrumentation with span events that capture detailed ActivityPub data. These enhancements enable richer observability and debugging capabilities without relying solely on span attributes, which are limited to primitive values.

The new span events provide complete activity payloads and verification status, making it possible to build comprehensive debugging tools that show the full context of federation operations:

  • activitypub.activity.received event on activitypub.inbox span — records the full activity JSON, verification status (activity verified, HTTP signatures verified, Linked Data signatures verified), and actor information
  • activitypub.activity.sent event on activitypub.send_activity span — records the full activity JSON and target inbox URL
  • activitypub.object.fetched event on activitypub.lookup_object span — records the fetched object's type and complete JSON-LD representation

Additionally, Fedify now instruments previously uncovered operations:

  • activitypub.fetch_document span for document loader operations, tracking URL fetching, HTTP redirects, and final document URLs
  • activitypub.verify_key_ownership span for cryptographic key ownership verification, recording actor ID, key ID, verification result, and the verification method used

These instrumentation improvements emerged from work on issue #234 (Real-time ActivityPub debug dashboard). Rather than introducing a custom observer interface as originally proposed in #323, we leveraged Fedify's existing OpenTelemetry infrastructure to capture rich federation data through span events. This approach provides a standards-based foundation that's composable with existing observability tools like Jaeger, Zipkin, and Grafana Tempo.

Distributed trace storage with FedifySpanExporter

Building on the enhanced instrumentation, Fedify 1.10.0 introduces FedifySpanExporter, a new OpenTelemetry SpanExporter that persists ActivityPub activity traces to a KvStore. This enables distributed tracing support across multiple nodes in a Fedify deployment, which is essential for building debug dashboards that can show complete request flows across web servers and background workers.

The new @fedify/fedify/otel module provides the following types and interfaces:

import { MemoryKvStore } from "@fedify/fedify";
import { FedifySpanExporter } from "@fedify/fedify/otel";
import {
 BasicTracerProvider,
 SimpleSpanProcessor,
} from "@opentelemetry/sdk-trace-base";

const kv = new MemoryKvStore();
const exporter = new FedifySpanExporter(kv, {
 ttl: Temporal.Duration.from({ hours: 1 }),
});

const provider = new BasicTracerProvider();
provider.addSpanProcessor(new SimpleSpanProcessor(exporter));

The stored traces can be queried for display in debugging interfaces:

// Get all activities for a specific trace
const activities = await exporter.getActivitiesByTraceId(traceId);

// Get recent traces with summary information
const recentTraces = await exporter.getRecentTraces({ limit: 100 });

The exporter supports two storage strategies depending on the KvStore capabilities. When the list() method is available (preferred), it stores individual records with keys like [prefix, traceId, spanId]. When only cas() is available, it uses compare-and-swap operations to append records to arrays stored per trace.

This infrastructure provides the foundation for implementing a comprehensive debug dashboard as a custom SpanExporter, as outlined in the updated implementation plan for issue #234.

Optional list() method for KvStore interface

Fedify 1.10.0 adds an optional list() method to the KvStore interface for enumerating entries by key prefix. This method enables efficient prefix scanning, which is useful for implementing features like distributed trace storage, cache invalidation by prefix, and listing related entries.

interface KvStore {
 // ... existing methods
 list?(prefix?: KvKey): AsyncIterable<KvStoreListEntry>;
}

When the prefix parameter is omitted or empty, list() returns all entries in the store. This is useful for debugging and administrative purposes. All official KvStore implementations have been updated to support this method:

  • MemoryKvStore — filters in-memory keys by prefix
  • SqliteKvStore — uses LIKE query with JSON key pattern
  • PostgresKvStore — uses array slice comparison
  • RedisKvStore — uses SCAN with pattern matching and key deserialization
  • DenoKvStore — delegates to Deno KV's built-in list() API
  • WorkersKvStore — uses Cloudflare Workers KV list() with JSON key prefix pattern

While list() is currently optional to give existing custom KvStore implementations time to add support, it will become a required method in Fedify 2.0.0 (tracked in issue #499). This migration path allows implementers to gradually adopt the new capability throughout the 1.x release cycle.

The addition of list() support was implemented in pull request #500, which also included the setup of proper testing infrastructure for WorkersKvStore using Vitest with @cloudflare/vitest-pool-workers.

NestJS 11 and Express 5 support

Thanks to a contribution from Cho Hasang (@crohasang), the @fedify/nestjs package now supports NestJS 11 environments that use Express 5. The peer dependency range for Express has been widened to ^4.0.0 || ^5.0.0, eliminating peer dependency conflicts in modern NestJS projects while maintaining backward compatibility with Express 4.

This change, implemented in pull request #493, keeps the workspace catalog pinned to Express 4 for internal development and test stability while allowing Express 5 in consuming applications.

What's next

Fedify 1.10.0 serves as a stepping stone toward the upcoming 2.0.0 release. The optional list() method introduced in this version will become required in 2.0.0, simplifying the interface contract and allowing Fedify internals to rely on prefix scanning being universally available.

The enhanced #OpenTelemetry instrumentation and FedifySpanExporter provide the foundation for implementing the debug dashboard proposed in issue #234. The next steps include building the web dashboard UI with real-time activity lists, filtering, and JSON inspection capabilities—all as a separate package that leverages the standards-based observability infrastructure introduced in this release.

Depending on the development timeline and feature priorities, there may be additional 1.x releases before the 2.0.0 migration. For developers building custom KvStore implementations, now is the time to add list() support to prepare for the eventual 2.0.0 upgrade. The implementation patterns used in the official backends provide clear guidance for various storage strategies.

Acknowledgments

Special thanks to Cho Hasang (@crohasang) for the NestJS 11 compatibility improvements, and to all community members who provided feedback and testing for the new observability features.

For the complete list of changes, bug fixes, and improvements, please refer to the CHANGES.md file in the repository.

#fedidev #release

GitHub

fedify/CHANGES.md at main · fedify-dev/fedify

ActivityPub server framework in TypeScript. Contribute to fedify-dev/fedify development by creating an account on GitHub.

Integration | Fedify

Fedify is designed to be used together with web frameworks. This document explains how to integrate Fedify with web frameworks.

Key–value store | Fedify

Fedify docs

OpenTelemetry | Fedify

OpenTelemetry is a set of APIs, libraries, agents, and instrumentation to provide observability to your applications. Fedify supports OpenTelemetry for tracing. This document explains how to use OpenTelemetry with Fedify.
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Hacker News
Hacker News
@h4ckernews@mastodon.social  ·  activity timestamp 4 months ago

OpenTelemetry: Escape Hatch from the Observability Cartel

https://oneuptime.com/blog/post/2025-11-03-opentelemetry-escape-from-observability-cartel/view

#HackerNews #OpenTelemetry #Observability #EscapeCartel #TechNews #Monitoring #Tools

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Pedro Piñera
Pedro Piñera
@pedro@mastodon.pepicrft.me  ·  activity timestamp 5 months ago

TIL about the OpenLit for AI observability. It builds on #OpenTelemetry and #Grafana supports it

https://github.com/openlit/openlit

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