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/**
 * Filters am emum to only return the keys represented in it
 *
 * How is this not built into the language?
 * https://stackoverflow.com/a/21294925/511710
 * https://noahbass.com/posts/typescript-enum-iteration
 *
 * @param {{}} e
 * @returns
 */

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1. https://android.stackexchange.com/questions/56635/how-can-i-export-the-list-of-open-chrome-tabs

You can use this chrome remote device debugger to see all tabs.

Click "View more tabs ... "

2. Then in vscode use to select the links

with

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document,'script','//connect.facebook.net/en_US/fbevents.js');
fbq('init', '{{facebook pixel}}');
fbq('track', 'PageView');
</script>

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Application Observability in Kubernetes with Datadog APM and Logging - A simple and actionable example

Last year I shared an example on how to realize application tracing in Kuberntes with Istio and Jaeger. After that, the industry has made some substantial headway on this front and we are seeing more vendor support as a result. At Buffer, since we primarily use Datadog for Kubernetes and application monitoring, it's only fitting to complete the circle with Datadog APM and Logging. I had a chance to create a small example for the team and would very much love to share with the community.

Okay, without further ado, let's dive in!

Installing Datadog agent

First thing first, in order to collect metrics and logs from Kubernetes an Datadog agent has to be installed in the cluster. The Datadog team ma

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#!/usr/bin/env ruby
# chasepdf2csv -- Convert Chase credit card statements from PDF to CSV. Written
# to easily import older statements into QuickBooks Online/Self-Employed. Chase
# unfortunately only offers statements up to 6 months in the past, making it a
# huge chore to synchronize past transactions.
#
# How to Use
# ----------
# This script requires Ruby >2.0.0 and pdftotext. Copy this script somewhere and
# make it executable. Run it like any other command.

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from api.lib.tasks.index_objects import index_objects
from api.lib.utils.list_utils import chunks
from api.lib.utils import get_logger

logger = get_logger()

start = datetime(2021, 11, 30, 17, 0)
end = datetime(2021, 11, 30, 17, 50)

asset_ids_created = AssetEvent.objects.using(settings.DB_REPLICA_LONG_QUERIES).filter(event_timestamp__gte=start, event_timestamp__lte=end, event_type="created").order_by('total_price').values('asset_id').distinct()