RichardScottOZ

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Dagster Hot Takes

Less On-Call Pages: Retries and Alerts

Getting an on-call page is the worst. Unfortunately most task-based orchestrators page teams frequently, whenever jobs fail. With Dagster you can reduce this alert fatigue by using retry strategies and only getting notified when SLAs are violated.

Resources:

Star Us: https://github.com/dagster-io/dagster

	#!/bin/sh

	log() {
	format="$1"; shift
	# shellcheck disable=SC2059
	>&2 printf "$format\n" "$@"
	}

	usage() {
	>&2 cat <<EOF

	# coding=utf-8
	# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software

	# Copyright (c) 2023 Derrick W. Turk / terminus, LLC

	# Permission is hereby granted, free of charge, to any person obtaining a copy
	# of this software and associated documentation files (the "Software"), to deal
	# in the Software without restriction, including without limitation the rights
	# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	# copies of the Software, and to permit persons to whom the Software is
	# furnished to do so, subject to the following conditions:

	# The above copyright notice and this permission notice shall be included in all

	#!/bin/bash
	# see https://github.com/microsoft/RoadDetections

	# 1) get the data
	wget https://usaminedroads.blob.core.windows.net/road-detections/Oceania-Full.zip

	# 2) extract the records for Australia, second column of tsv only
	zgrep AUS Oceania-Full.zip \| cut -f2 > AUS.geojson

	# 3) convert to GPKG, works better in QGIS

	#!/bin/bash

	api_call() {
	curl --no-progress-meter https://api.openai.com/v1/completions \
	-H "Content-Type: application/json" \
	-H "Authorization: Bearer your-api-key" \
	-d "{
	\"model\": \"text-davinci-003\",
	\"prompt\": \"$@\",
	\"temperature\": 0,

	#!/usr/bin/env bash

	# Find the latest Amazon-created "Deep Learning AMI (Ubuntu 18.04)" AMI image ID
	#
	# args explanation:
	# --region us-east-1
	# Specifies the AWS region (you can also specify it in your
	# ~/.aws/config or via the `AWS_REGION` or `AWS_DEFAULT_REGION`
	# env vars)
	#

	# main
	llama-index
	langchain