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@skratchdot
skratchdot / donate.md
Created January 25, 2016 17:42
My Paypal donate button in markdown format

Donation Button

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@sebastianwebber
sebastianwebber / wildfly-toolbelt.md
Last active May 11, 2016 04:46
Wildfly administration tips

#Wildfly Toolbelt

Deploy Related

Find domain deployments in filesystem

Basically, you need to open domain.xml under WILDFLY_HOME/domain/configuration and find the <deployments> session. In that session, each deployment contain a <content> tag. The attribute sha1 contains details where the file is storaged on the filesystem. EG:

<deployments>
@rafaeltuelho
rafaeltuelho / install-gosu-centos.md
Last active February 23, 2022 04:56
installing gosu on a centos docker box 
# Install gosu.  https://github.com/tianon/gosu
ENV GOSU_VERSION=1.11
RUN gpg --keyserver ha.pool.sks-keyservers.net --recv-keys B42F6819007F00F88E364FD4036A9C25BF357DD4 \
    && curl -o /usr/local/bin/gosu -SL "https://github.com/tianon/gosu/releases/download/${GOSU_VERSION}/gosu-amd64" \
    && curl -o /usr/local/bin/gosu.asc -SL "https://github.com/tianon/gosu/releases/download/${GOSU_VERSION}/gosu-amd64.asc" \
    && gpg --verify /usr/local/bin/gosu.asc \
    && rm /usr/local/bin/gosu.asc \
    && rm -r /root/.gnupg/ \
 &amp;&amp; chmod +x /usr/local/bin/gosu \
@lfryc
lfryc / gist:aae879ceb5534292e150
Last active May 11, 2020 18:51
Switch WildFly to debug mode in Runtime using jboss-cli
# switch the log level to DEBUG on console
{wildfly}/bin/jboss-cli.sh --connect
[standalone@localhost:9990 /] /subsystem=logging/console-handler=CONSOLE:write-attribute(name=level,value=DEBUG)
[standalone@localhost:9990 /] /subsystem=logging/root-logger=ROOT:write-attribute(name=level,value=DEBUG)
# switch it back to whatever it was initial configuration (here it is INFO)
[standalone@localhost:9990 /] /subsystem=logging/console-handler=CONSOLE:write-attribute(name=level,value=INFO)
[standalone@localhost:9990 /] /subsystem=logging/root-logger=ROOT:write-attribute(name=level,value=INFO)
@Eugeny
Eugeny / memuse.md
Last active February 1, 2023 01:57
memuse - measure a total unique RAM taken by process tree
@fabriziomello
fabriziomello / pgbadger-clean-bin-files
Created May 30, 2014 00:26
#!/bin/bash
#
# O pgbadger no modo incremental gera um indice (arquivos .bin)
# para fazer o parser do log, e não possui um mecanismo interno
# de limpeza de arquivos que não estão mais em uso.
#
# Este script efetua a limpeza dos .bin obsoletos, ou seja,
# aqueles que são de dias anteriores aos correspondentes a
# semana corrente.
@jberkus
jberkus / New New Index Bloat Query
Last active August 28, 2019 05:56
WITH btree_index_atts AS (
SELECT nspname, relname, reltuples, relpages, indrelid, relam,
regexp_split_to_table(indkey::text, ' ')::smallint AS attnum,
indexrelid as index_oid
FROM pg_index
JOIN pg_class ON pg_class.oid=pg_index.indexrelid
JOIN pg_namespace ON pg_namespace.oid = pg_class.relnamespace
JOIN pg_am ON pg_class.relam = pg_am.oid
WHERE pg_am.amname = 'btree'
),
@swdunlop
swdunlop / identifypanic.go
Created March 18, 2014 20:45
Identify a GOLANG Panic Function and Line in Recovery
// You can edit this code!
// Click here and start typing.
package main
import "fmt"
import "runtime"
import "strings"
func identifyPanic() string {
var name, file string
@matheusoliveira
matheusoliveira / json_manipulator.sql
Last active February 17, 2024 15:14
Simple PostgreSQL functions to manipulate json objects. (Note: performance is not a concern for those functions)
CREATE OR REPLACE FUNCTION public.json_append(data json, insert_data json)
RETURNS json
IMMUTABLE
LANGUAGE sql
AS $$
SELECT ('{'||string_agg(to_json(key)||':'||value, ',')||'}')::json
FROM (
SELECT * FROM json_each(data)
UNION ALL
SELECT * FROM json_each(insert_data)
@denji
denji / nginx-tuning.md
Last active April 26, 2024 11:21
NGINX tuning for best performance

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.