Semua Server Whplus Menggunakan CloudLinux

Whplus Powered by CloudLinuxUntuk meningkatkan stabilitas, reliabilitas, kinerja server dan kenyamanan pengguna per tanggal 18 November 2010, semua server whplus menggunakan Sistem Operasi CloudLinux.

Inti dari CloudLinux adalah implementasi teknologi Lightweight Virtual Environment (LVE) pada tingkat kernel dimana LVE bekerja secara transparan untuk mengelola sumber daya (CPU/Memory/IO) yang ada untuk setiap akun atau process yang berjalan. Sehingga tidak akan ada lagi akun atau process yang menggunakan resource secara berlebihan. Hal ini menjamin server bekerja lebih stabil dan memberikan kinerja yang lebih baik.

Informasi lebih lanjut tentang CloudLinux bisa diperoleh di www.cloudlinux.com

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Problem cpanel di server iix10

Kami sampaikan bahwa ada problem saat upgrade cpanel di server iix10. Proses reinstall cPanel (force) telah kami lakukan, namun tidak berjalan sebagaimana mestinya.Saat ini sedang dilakukan reinstall cpanel lagi.

Bilamana proses reinstall tetap gagal maka kami akan melakukan proses Reinstall Operating System & Reinstall  cPanel, dimana sebelumnya akun2 di server iix10 akan kami migrasikan terlenih dahulu ke server iix kami yang lain.

Kami akan informasikan progressnya esok hari.

Terima kasih dan mohon maaf atas ketidaknyamanannya.

[UPDATE]

Saat ini account-account yg ada di server iix10 kami migrasikan ke server iix06 dengan IP 111.221.43.214.

Anda tidak perlu mengubah setting apapun bila domain anda menggunakan NS kami.

Akan tetap bila domain anda tidak menggunakan NS kami maka silakan update A record di DNS domain anda ubah  dari IP 202.59.207.65 menjadi IP 111.221.43.214.

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What are the Query Cache Key Performance Indicators?

This article addresses what metrics to look for when assessing the benefits of your query cache.

1. Current Size compared with maximum available size. To calculate the percentage used value for the query cache you can use the following formula:

((query_cache_size-Qcache_free_memory)/query_cache_size)*100

N.B. query_cache_size is a variable, which can be found from a show variables like ‘query_cache_size’; command. Qcache_free_memory is a status variable which can be retrieved from show status like ‘Qcache_free_memory’;

2. The Query Cache Hit Rate

The percentage hit rate on the cache can be calculated as follows:

((Qcache_hits/(Qcache_hits+Qcache_inserts+Qcache_not_cached))*100)

This percentage figure shows how much the query cache is used e.g. the figure in the screenshot of 33% says that of all select statements executed, 33% of them can be satisfied by the cache and hence do not have to be re-executed.

3. Hits to Insert Ratio and Insert to Prune Ratio

These two ratios are calculated by the following two formulae:

Qcache_hits/Qcache_inserts

Qcache_inserts/Qcache_prunes

A ratio of Hits to Inserts is displayed in order to show the Query Cache effectiveness. A high ratio of hits to inserts tells us that there are lots of identical SQL statements being run on the database and are therefore being serviced directly from cache. A low ratio shows that the cache is not much utilized.

The ratio of Inserts to Prunes represents how many times SQL queries are being inserted into the cache compared with how many times a query is being removed from the cache (pruned). This is also a good indicator of SQL reuse on the database and hence query cache effectiveness.