Joe Black joeblackwaslike

If you're a TypeScript developer building applications, you know how quickly complexity can grow. Tracking down errors, understanding performance bottlenecks, and getting visibility into your application's health in production can feel like detective work without the right tools. This is where Sentry comes in.

Sentry is a powerful application monitoring platform that helps you identify, triage, and prioritize errors and performance issues in real-time. While it supports a wide range of languages and platforms, its JavaScript SDKs, which are fully compatible with TypeScript, offer a wealth of features specifically tailored for the nuances of the web browser and Node.js environments where TypeScript thrives.

The goal of this whitepaper is to walk you through the top features of Sentry from the perspective of a TypeScript developer. We'll explore how to set up Sentry, how it automatically captures crucial data, how you can enrich that data with context specific to your application, techniques for managing data

	"""
	This script demonstrates the use of nested transactions in SQLAlchemy, including
	a workaround for an issue with the SQLite backend.

	References:
	http://docs.sqlalchemy.org/en/latest/orm/session_transaction.html#using-savepoint
	http://docs.sqlalchemy.org/en/latest/dialects/sqlite.html#serializable-isolation-savepoints-transactional-ddl
	"""

	from sqlalchemy import Column, String, Integer

	import threading
	import asyncio

	async def run_coro_threadsafe(self, coro, other_loop, our_loop = None):
	"""Schedules coro in other_loop, awaits until coro has run and returns
	its result.
	"""
	loop = our_loop or asyncio.get_event_loop()

	# schedule coro safely in other_loop, get a concurrent.future back