rupeshtiwari

• How do I troubleshoot search latency spikes in my Amazon OpenSearch Service cluster?
  • Short description
  • Resolution
    • Check for insufficient resources provisioned on the cluster
    • Check for search rejections using the ThreadpoolSearchRejected metric in CloudWatch
    • Use search slow logs to identify long running queries
    • Resolve any 504 gateway timeout errors
    • Other factors that can cause high search latency
• Related information

cpursley

PostgreSQL is Enough

• Simplify: move code into database functions
• Just Use Postgres for Everything
• Just use Postgres
• PostgreSQL is the worlds’ best database
• Postgres is eating the database world
• Hacker News discussion

Background and Cron Jobs

zafergurel

-- https://www.geekytidbits.com/performance-tuning-postgres/
-- http://www.craigkerstiens.com/2012/10/01/understanding-postgres-performance/
-- http://okigiveup.net/what-postgresql-tells-you-about-its-performance/
-- https://wiki.postgresql.org/wiki/Introduction_to_VACUUM,_ANALYZE,_EXPLAIN,_and_COUNT
-- https://devcenter.heroku.com/articles/postgresql-indexes#b-trees-and-sorting
-- http://www.databasesoup.com/2014/05/new-finding-unused-indexes-query.html
-- performance tools
-- https://www.vividcortex.com/resources/network-analyzer-for-postgresql

-- show running queries (pre 9.2)

tkrotoff

Charts are from different sources and thus colors are inconsistent, please carefully read the chart's legends.

Like this? Check React Native vs Flutter: https://gist.github.com/tkrotoff/93f5278a4e8df7e5f6928eff98684979

Stack Overflow trends

https://insights.stackoverflow.com/trends?tags=reactjs%2Cvue.js%2Cangular%2Csvelte%2Cangularjs%2Cvuejs3

marwei

Kafka 0.11.0.0 (Confluent 3.3.0) added support to manipulate offsets for a consumer group via cli kafka-consumer-groups command.

1. List the topics to which the group is subscribed

kafka-consumer-groups --bootstrap-server <kafkahost:port> --group <group_id> --describe

Note the values under "CURRENT-OFFSET" and "LOG-END-OFFSET". "CURRENT-OFFSET" is the offset where this consumer group is currently at in each of the partitions.

2. Reset the consumer offset for a topic (preview)

awilczek

"use strict";

// Registering cleanup callback before requiring flightplan.
process.on("SIGINT", interruptedCleanup);

const util    = require("util"),
      moment  = require("moment"),
      _       = require("lodash"),
      plan    = require("flightplan"),
      request = require("request-promise");

getify

Parens And Performance

Years ago, some smart folks that worked on JS engines realized that not all JS that's loaded into a page/app initially is needed right away. They implemented JIT to optimize this situation.

JIT means Just-In-Time, which means essentially that the engine can defer processing (parsing, compiling) certain parts of a JS program until a later time, for example when the function in question is actually needed. This deferral means the engine is freer to spend the important cycles right now on the code that's going to run right now. This is a really good thing for JS performance.

Some time later, some JS engine devs realized that they needed to get some hints from the code as to which functions would run right away, and which ones wouldn't. In technical speak, these hints are called heuristics.

So they realized that one very common pattern for knowing that a function was going to run right away is if the first character before the function keyword was a (, because that usually m

ursuad

Kafka Topics

List existing topics

bin/kafka-topics.sh --zookeeper localhost:2181 --list

Describe a topic

bin/kafka-topics.sh --zookeeper localhost:2181 --describe --topic mytopic

Purge a topic

bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic mytopic --config retention.ms=1000

... wait a minute ...

olih

Processing JSON using jq

jq is useful to slice, filter, map and transform structured json data.

Installing jq

On Mac OS

brew install jq

jackcarter

import requests
import time
import json

token = ''

#Delete files older than this:
ts_to = int(time.time()) - 30 * 24 * 60 * 60

def list_files():