Categorias
Tropeçando

Tropeçando 79

Plan for the unexpected: install diagnostic tools on your PostgreSQL servers

There’s a lot of information out there on how to configure PostgreSQL, on the importance of backups and testing them, etc.

But what about the server you run PostgreSQL on? We tend to pay a lot less attention to tools that you won’t need unless something breaks. But it’s worth taking some time to do so now, because that’s time you won’t have when your server is down and you’re in a rush.

SQL Feature Comparison

This comparison focuses on SQL features that can be used in SQL statements or self-contained SQL scripts that don't require additional software (e.g. a compiler) to be usable. Features for database administration or deployment are also not the focus of this comparison.

Building the DOM faster: speculative parsing, async, defer and preload

In 2017, the toolbox for making sure your web page loads fast includes everything from minification and asset optimization to caching, CDNs, code splitting and tree shaking. However, you can get big performance boosts with just a few keywords and mindful code structuring, even if you’re not yet familiar with the concepts above and you’re not sure how to get started.

How we tweaked Postgres upsert performance to be 2-3* faster than MongoDB

As we all know, relational databases are fine if you’re dealing with small amounts of data but for web-scale high performance high inserts speed and masses of queries per second, NoSQL is what you need. At least, that’s the conventional wisdom/hype surrounding NoSQL databases such as MongoDB. However as we’ve recently discovered this is very wrong indeed.

Painful Varnish mistakes

This post was initially titled "Top 6 Varnish mistakes", to echo Espen's blog. Even though his material is three years old, the content is still relevant. Plus, there's a healthy colleague competition going on here, and I can't just mimic Espen if I hope to beat him, so I had to do something different.

NULL in SQL: Indicating the Absence of Data

Categorias
Tropeçando

Tropeçando 75

Dply – Serviço permite criar um servidor Linux na nuvem que fica disponível por 2 horas gratuitamente

Promise Anti-patterns

Promises are very simple once you get your head around them, but there are a few gotchas that can leave you with your head scratching. Here are a few that got me.

PG Phriday: Why Postgres

Generic HTTP Error Handling in AngularJS

Lately during development at one of our clients, Ravello Systems, we decided we wanted better HTTP error handling.

Basically, our perfect solution would have generic handlers for errors, and most calls in the code will not have to do any special work for handling errors. This means that things like authentication problems, server unavailability issues, etc. will be handled in one place — like adding a generic “something went wrong” modal.

The Fastest Method to Evaluate Tune the Performance of Any PHP Web Application Server using MySQL or PostgreSQL

In the Web development world, we often have the problem of choosing the right server to use in the production environment of a Web application.

Maybe we need to buy a new server to handle the expected load, or maybe the customer wants to deploy in an existing server.

In any case, if after deploying and running the application it will show poor performance, then we need to ask the team what we can do to make the application faster or use a better server.

Therefore we need to determine if the application is performing well. Read this article to learn how to quickly determine the performance of an application on the current server.

Postgres 9.6 Features

The Definitive Guide to DateTime Manipulation

As a software developer, you can’t run away from date manipulation. Almost every app a developer builds will have some component where date/time needs to be obtained from the user, stored in a database, and displayed back to the user.

collect-exec.sh – My personal OS report

The script collects a lot of information about the running system and save the output of each commands in a text file, and saves copies of important files in a directory named files. At the end of the script everything is compressed with tar in the global directory.

Faster PostgreSQL Counting

Everybody counts, but not always quickly. This article is a close look into how PostgreSQL optimizes counting. If you know the tricks there are ways to count rows orders of magnitude faster than you do already.