I’m working on Couchbase performance issues and gathering a lot of useful information not found within any of the documentation available online. Therefore, I would like to share my finding within this blog post. Hopefully, this will be helpful for someone taking the same route.
This article targets people who are new to Couchbase and using the .net client.
I’m currently working on a project which requires keeping a close eye on performance. Because of this, we decided to include GTmetrix’s webpage performance analyzes service as part of the overall monitoring strategy. To simplify the implementation, I’ve decided to create a native .net client.
这篇是前篇文章 Optimizing WordPress hosted on Windows 的后续文章。
现在是假期所以我有一些空闲时间，我会在这篇文章补充前篇第一部份的数据，主要集中解释在 WordPress 的 Azure CDN 使用 W3 总缓存 WP 插件。
This post is a follow-up post to my previous post Optimizing WordPress hosted on Windows.
It’s the holiday season and therefore having some time to spare, I thought I might as well include the part I left out my previous post. Therefore this post focuses solely on including Azure CDN within your WordPress environment using the W3 Total Cache WP plugin.
I was recently working on some performance issues, which also included dealing with the web front-end. I’m more of a middleware/backend guy, however, do know my way around web development and website optimization (minification, bundling, caching, Gzip, CDN, etc.)
After working on the issues, I was wondering how my blog would perform. I’ve never run any analysis, leave alone applied any tweaks. This website is a basic out of the box WordPress installation (scripted by discountasp.net) hosted on Windows containing only a hand full of articles. And therefore not even thinking about possible performance issues, but I was wrong.
This is The third and last part of the Detecting T-SQL code smells series. Within this post I will cover how the solution can be customized by adding new validation rules
For the second part of this series, I’m relying on a TSQL Code Smells Finder hosted on Codeplex. The solution consists out of 3 files (one PowerShell script, a text file containing a list with possible errors and a whitelist file) and build within PowerShell.
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