Hello, I'm an open source software engineer in my late 30s living in #Seoul, #Korea, and an avid advocate of #FLOSS and the #fediverse.
I'm the creator of @fedify, an #ActivityPub server framework in #TypeScript, @hollo, an ActivityPub-enabled microblogging software for single users, and @botkit, a simple ActivityPub bot framework.
#Fedify 1.6 is approaching with three major enhancements: RFC 9421 HTTP Message Signatures support with double-knocking for seamless backward compatibility, a new builder pattern for better code organization in large applications, and native #Cloudflare#Workers support for serverless deployments. These additions strengthen Fedify's standards compliance while expanding deployment flexibility across different environments. Stay tuned for the official release! 🚀
LogTape is a zero-dependency logging library for JavaScript and TypeScript that works across all runtimes.
We're excited to announce the release of LogTape 0.11.0, which introduces significant enhancements to structured logging capabilities and adds a new JSON Lines formatter for better log processing.
New features and enhancements
Enhanced structured logging
LogTape 0.11.0 brings major improvements to structured logging, making it easier and more flexible to work with structured data in your logs.
Direct object logging
You can now log structured data directly by passing an object as the first argument to any log method:
logger.info({ userId: 123456, username: "johndoe", loginTime: new Date(),});
This creates a log entry with the object properties as structured fields, making your logs more machine-readable and searchable.
Universal property interpolation with {*}
A new special placeholder {*} allows you to interpolate all properties from your structured data at once:
logger.info("User logged in with properties {*}", { userId: 123456, username: "johndoe", loginTime: new Date(),});
This is particularly useful when you want to include all available context without explicitly naming each property in your message template.
Streamlined logging methods
All logging methods (debug, info, warn, error, fatal) now support the new object-first syntax as a convenient shorthand for structured logging with the {*} placeholder.
JSON Lines formatter
LogTape now includes built-in support for JSON Lines (also known as JSONL or NDJSON) format, a popular choice for structured logging in modern applications:
import { jsonLinesFormatter } from "@logtape/logtape";import { getFileSink } from "@logtape/file";await configure({ sinks: { jsonl: getFileSink("app.jsonl", { formatter: jsonLinesFormatter }), }, // ... rest of configuration});
The JSON Lines formatter outputs each log record as a JSON object on a separate line, making it ideal for log aggregation systems and analysis tools.
LogTape is a zero-dependency logging library for JavaScript and TypeScript that works across all runtimes.
We're excited to announce the release of LogTape 0.11.0, which introduces significant enhancements to structured logging capabilities and adds a new JSON Lines formatter for better log processing.
New features and enhancements
Enhanced structured logging
LogTape 0.11.0 brings major improvements to structured logging, making it easier and more flexible to work with structured data in your logs.
Direct object logging
You can now log structured data directly by passing an object as the first argument to any log method:
logger.info({ userId: 123456, username: "johndoe", loginTime: new Date(),});
This creates a log entry with the object properties as structured fields, making your logs more machine-readable and searchable.
Universal property interpolation with {*}
A new special placeholder {*} allows you to interpolate all properties from your structured data at once:
logger.info("User logged in with properties {*}", { userId: 123456, username: "johndoe", loginTime: new Date(),});
This is particularly useful when you want to include all available context without explicitly naming each property in your message template.
Streamlined logging methods
All logging methods (debug, info, warn, error, fatal) now support the new object-first syntax as a convenient shorthand for structured logging with the {*} placeholder.
JSON Lines formatter
LogTape now includes built-in support for JSON Lines (also known as JSONL or NDJSON) format, a popular choice for structured logging in modern applications:
import { jsonLinesFormatter } from "@logtape/logtape";import { getFileSink } from "@logtape/file";await configure({ sinks: { jsonl: getFileSink("app.jsonl", { formatter: jsonLinesFormatter }), }, // ... rest of configuration});
The JSON Lines formatter outputs each log record as a JSON object on a separate line, making it ideal for log aggregation systems and analysis tools.
It's been a while since we released a new minor version of #Hollo. I'm currently considering the timing for releasing Hollo 0.6.0. There are still a few changes left to implement, but once those are wrapped up, we should be able to release Hollo 0.6.0 soon!
If you're on the fence about which driver to choose for #Fedify's message queue, here's a benchmark that just came out. In addition to no queue, we compare 5 drivers, for a total of 11 setups:
@thisismissem Here's the benchmark, and while it contains some questionable results, the overall conclusion is as following:
• Response times are much faster with queues than without. • Overall throughput is better without queues. • However, some queue setups can achieve throughput close to that of no queue.
This benchmark assumes communication within a single node, so the effect of queues may be greater in real-world networks.
