tuples
vs list
from a different point of view. Tuples of constants can be precomputed by Python's peephole optimizer or AST-optimizer. Lists, on the other hand, get built-up from scratch:>>> from dis import dis
>>> dis(compile("(10, 'abc')", '', 'eval'))
1 0 LOAD_CONST 2 ((10, 'abc'))
3 RETURN_VALUE
>>> dis(compile("[10, 'abc']", '', 'eval'))
1 0 LOAD_CONST 0 (10)
3 LOAD_CONST 1 ('abc')
6 BUILD_LIST 2
9 RETURN_VALUE
#python #list #tuple #performance #dis #compile #ast_optimizer
Caddy
is the HTTP/2 web server with automatic HTTPS. I wanted to proxy pass websocket service using Caddy
but it didn't work:wss.example.org {
proxy / myservice:8083 {
header_upstream Host {host}
header_upstream X-Real-IP {remote}
}
tls myemail@gmail.com
}
In the documentation it is mentioned that
proxy
can proxy pass web sockets too. The problem was about not using websocket
inside of the proxy stanza, so we solved it using:wss.example.org {
proxy / myservice:8083 {
header_upstream Host {host}
header_upstream X-Real-IP {remote}
websocket
}
tls myemail@gmail.com
}
#webserver #caddy #proxy #proxy_pass #wss #ws #websocket
From Discover on Google https://nickjanetakis.com/blog/15-useful-flask-extensions-and-libraries-that-i-use-in-every-project
Nick Janetakis
15 Useful Flask Extensions and Libraries That I Use in Every Project — Nick Janetakis
Part of the benefit of using a popular web framework is the thriving community around it. Here's my favorite Flask extensions.
https://hackernoon.com/python-3-7s-new-builtin-breakpoint-a-quick-tour-4f1aebc444c
#python #python37 #breakpoint #pdb #set_trace
#python #python37 #breakpoint #pdb #set_trace
Hackernoon
Python 3.7’s new builtin breakpoint — a quick tour | HackerNoon
Debugging in Python has always felt a bit “awkward” compared with other languages I’ve worked in.
For
- https://hub.docker.com/r/prom/alertmanager
Awesome
- https://github.com/samber/awesome-prometheus-alerts
- https://awesome-prometheus-alerts.grep.to/rules
So to add
You alert manager configuration may look something like below:
You should be up & running with this sample configurations.
Spread your love for M2SH :)
#prometheus #prom #alert #alert_manager #docker #dockerfile #slack
prometheus
you can use an alert manager, it has a docker file in the link below:- https://hub.docker.com/r/prom/alertmanager
Awesome
Prometheus
alerts:- https://github.com/samber/awesome-prometheus-alerts
alertmanager
has rules, you can see sample rules here in the following link:- https://awesome-prometheus-alerts.grep.to/rules
So to add
alertmanager
service:alertmanager:
image: prom/alertmanager:latest
restart: always
command: --config.file=/etc/alertmanager/alertmanager.yml
volumes:
- ./alert/config/alertmanager.yml:/etc/alertmanager/alertmanager.yml
dns:
- 8.8.8.8
You alert manager configuration may look something like below:
global:
resolve_timeout: 5m
route:
# When a new group of alerts is created by an incoming alert, wait at
# least 'group_wait' to send the initial notification.
# This way ensures that you get multiple alerts for the same group that start
# firing shortly after another are batched together on the first
# notification.
group_wait: 10s
# When the first notification was sent, wait 'group_interval' to send a betch
# of new alerts that started firing for that group.
group_interval: 5m
# If an alert has successfully been sent, wait 'repeat_interval' to
# resend them.
repeat_interval: 30m
# A default receiver
receiver: "slack"
# All the above attributes are inherited by all child routes and can
# overwritten on each.
routes:
- receiver: "slack"
group_wait: 10s
match_re:
severity: error|warning
continue: true
# - receiver: "sms"
# group_wait: 10s
# match_re:
# severity: error
# continue: true
receivers:
- name: "slack"
slack_configs:
- api_url: 'YOUR-WEBHOOK-URL'
send_resolved: true
channel: 'monitoring'
text: "{{ range .Alerts }}<!channel> {{ .Annotations.summary }}\n{{ .Annotations.description }}\n{{ end }}"
# - name: "sms"
# webhook_config:
# - url: http://a.b.c:8080/send/sms
# send_resolved: true
You should be up & running with this sample configurations.
Spread your love for M2SH :)
#prometheus #prom #alert #alert_manager #docker #dockerfile #slack
GitHub
GitHub - samber/awesome-prometheus-alerts: 🚨 Collection of Prometheus alerting rules
🚨 Collection of Prometheus alerting rules. Contribute to samber/awesome-prometheus-alerts development by creating an account on GitHub.
Create a linux SWAP file:
https://linuxize.com/post/create-a-linux-swap-file/
#linux #swap #swapfile #swappiness #swapon #mkswap
https://linuxize.com/post/create-a-linux-swap-file/
#linux #swap #swapfile #swappiness #swapon #mkswap
Linuxize
Create a Linux Swap File
Swap is a space on a disk that is used when the amount of physical RAM memory is full. When a Linux system runs out of RAM, inactive pages are moved from the RAM to the swap space.
Forwarded from Quera
🔹مسابقاتِ برنامهنویسیِ Backend و Frontend تومن
در این مسابقه سوالاتِ🔹بکاند، Python و Django و 🔹فرانتاند Front-End و Reactjs میباشد.
👈علاقهمندان میتوانند به صورت مجزا در این دو مسابقه شرکت کنند.
🔹همراه با ۳ میلیون جایزه نقدی
☝️از نفرات برتر این مسابقه جهت استخدام در شرکت تومن دعوت به عمل میآید.
⏳زمان مسابقه: ۲۱ تیرماه روز جمعه
ثبتنام از در این مسابقه از طریق:👇
🔹https://quera.ir/r/dpi1h
➖➖➖➖➖➖➖
@Quera_ir
در این مسابقه سوالاتِ🔹بکاند، Python و Django و 🔹فرانتاند Front-End و Reactjs میباشد.
👈علاقهمندان میتوانند به صورت مجزا در این دو مسابقه شرکت کنند.
🔹همراه با ۳ میلیون جایزه نقدی
☝️از نفرات برتر این مسابقه جهت استخدام در شرکت تومن دعوت به عمل میآید.
⏳زمان مسابقه: ۲۱ تیرماه روز جمعه
ثبتنام از در این مسابقه از طریق:👇
🔹https://quera.ir/r/dpi1h
➖➖➖➖➖➖➖
@Quera_ir
Did you know that python
#python #print #sep #separator
print
command takes sep
argument as a separator between string arguments?print('ali', 'reza', sep=', ') # output: ali, reza
#python #print #sep #separator
https://www.thoughtworks.com/insights/blog/rest-api-design-resource-modeling
#RESTAPI #REST #API #collection #resource #CQRS #CRUD #URI #URN #REST_API
#RESTAPI #REST #API #collection #resource #CQRS #CRUD #URI #URN #REST_API
Thoughtworks
REST API Design - Resource Modeling
“The key abstraction of information in REST is a resource. Any information that can be named can be a resource: a document or image, a temporal service (e.g. "today's weather in Los Angeles"), a collection of other resources, a non-virtual object (e.g. a…