{"id":39372,"date":"2026-02-19T23:40:52","date_gmt":"2026-02-19T20:40:52","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/?p=39372"},"modified":"2026-02-19T23:40:52","modified_gmt":"2026-02-19T20:40:52","slug":"redis-sunucusunun-ubuntu-18-04-uzerindeki-performansini-nasil-kiyaslarsiniz","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/redis-sunucusunun-ubuntu-18-04-uzerindeki-performansini-nasil-kiyaslarsiniz\/","title":{"rendered":"Redis Sunucusunun Ubuntu 18.04 \u00dczerindeki Performans\u0131n\u0131 Nas\u0131l K\u0131yaslars\u0131n\u0131z?"},"content":{"rendered":"

<\/p>\n

Redis Sunucusunun Ubuntu 18.04 \u00dczerindeki Performans\u0131n\u0131 Nas\u0131l K\u0131yaslars\u0131n\u0131z?<\/h2>\n

Redis, bellek i\u00e7i bir veri yap\u0131s\u0131 sunucusu olarak bilinen ve y\u00fcksek performansl\u0131, \u00f6l\u00e7eklenebilir uygulamalar i\u00e7in vazge\u00e7ilmez bir ara\u00e7 haline gelmi\u015f a\u00e7\u0131k kaynakl\u0131 bir NoSQL veritaban\u0131d\u0131r. Genellikle \u00f6nbellekleme, oturum y\u00f6netimi, mesaj kuyruklar\u0131 ve ger\u00e7ek zamanl\u0131 analiz gibi senaryolarda kullan\u0131l\u0131r. Ancak, bir Redis sunucusunun potansiyelini tam olarak anlamak ve uygulaman\u0131z\u0131n gereksinimlerini kar\u015f\u0131lay\u0131p kar\u015f\u0131lamad\u0131\u011f\u0131n\u0131 belirlemek i\u00e7in performans k\u0131yaslamas\u0131 (benchmarking) kritik \u00f6neme sahiptir. Bu makalede, Ubuntu 18.04 i\u015fletim sistemi \u00fczerinde \u00e7al\u0131\u015fan bir Redis sunucusunun performans\u0131n\u0131 nas\u0131l k\u0131yaslayaca\u011f\u0131n\u0131z\u0131, hangi ara\u00e7lar\u0131 kullanaca\u011f\u0131n\u0131z\u0131, hangi metrikleri izleyece\u011finizi ve elde etti\u011finiz sonu\u00e7lar\u0131 nas\u0131l yorumlayaca\u011f\u0131n\u0131z\u0131 ayr\u0131nt\u0131l\u0131 bir \u015fekilde inceleyece\u011fiz.<\/p>\n

Neden Redis Performans\u0131n\u0131 K\u0131yaslamal\u0131s\u0131n\u0131z?<\/h3>\n

Redis performans\u0131n\u0131 k\u0131yaslamak, sistem y\u00f6neticileri, geli\u015ftiriciler ve DevOps m\u00fchendisleri i\u00e7in bir\u00e7ok \u00f6nemli fayda sa\u011flar:<\/p>\n

* Kapasite Planlamas\u0131:<\/strong> Mevcut donan\u0131m veya bulut \u00f6rne\u011finin bir Redis i\u015f y\u00fck\u00fc alt\u0131nda ne kadar trafik kald\u0131rabilece\u011fini anlaman\u0131za yard\u0131mc\u0131 olur. Bu bilgi, uygulaman\u0131z\u0131n b\u00fcy\u00fcmesiyle birlikte gelecekteki kaynak ihtiya\u00e7lar\u0131n\u0131 tahmin etmek i\u00e7in temel olu\u015fturur.
\n* Konfig\u00fcrasyon Optimizasyonu:<\/strong> Redis’in \u00e7e\u015fitli konfig\u00fcrasyon parametreleri (bellek limitleri, kal\u0131c\u0131l\u0131k ayarlar\u0131, a\u011f ayarlar\u0131 vb.) performans \u00fczerinde \u00f6nemli etkilere sahiptir. K\u0131yaslama, farkl\u0131 konfig\u00fcrasyonlar\u0131n uygulaman\u0131z\u0131n i\u015f y\u00fck\u00fc \u00fczerindeki etkilerini \u00f6l\u00e7menizi ve en uygun ayarlar\u0131 bulman\u0131z\u0131 sa\u011flar.
\n* Donan\u0131m ve Yaz\u0131l\u0131m Kar\u015f\u0131la\u015ft\u0131rmas\u0131:<\/strong> Farkl\u0131 sunucu donan\u0131mlar\u0131, i\u015fletim sistemi s\u00fcr\u00fcmleri veya hatta farkl\u0131 Redis s\u00fcr\u00fcmleri aras\u0131ndaki performans farklar\u0131n\u0131 belirlemek i\u00e7in k\u0131yaslama yap\u0131labilir. Bu, yeni bir sisteme ge\u00e7i\u015f yaparken veya bir y\u00fckseltme planlarken bilin\u00e7li kararlar vermenizi sa\u011flar.
\n* Darbo\u011faz Tespiti:<\/strong> Y\u00fcksek y\u00fck alt\u0131nda Redis’in veya temel sistem kaynaklar\u0131n\u0131n (CPU, bellek, disk G\/\u00c7, a\u011f) nerede darbo\u011faz ya\u015fad\u0131\u011f\u0131n\u0131 ortaya \u00e7\u0131kar\u0131r. Bu, performans sorunlar\u0131n\u0131n k\u00f6k nedenini bulmak ve \u00e7\u00f6zmek i\u00e7in ilk ad\u0131md\u0131r.
\n* Uygulama Geli\u015ftirme:<\/strong> Uygulaman\u0131z\u0131n Redis ile nas\u0131l etkile\u015fime girdi\u011fini anlamak, verimsiz sorgular\u0131 veya veri yap\u0131lar\u0131n\u0131 belirlemenize yard\u0131mc\u0131 olur. K\u0131yaslama, uygulaman\u0131z\u0131n Redis kullan\u0131m\u0131n\u0131 optimize etmek i\u00e7in geri bildirim sa\u011flar.
\n* Regresyon Testi:<\/strong> Yeni bir s\u00fcr\u00fcm y\u00fckseltmesi veya sistem de\u011fi\u015fikli\u011fi yap\u0131ld\u0131\u011f\u0131nda performans\u0131n k\u00f6t\u00fcle\u015fmedi\u011finden emin olmak i\u00e7in k\u0131yaslama testleri kullan\u0131labilir.<\/p>\n

\u00d6n Ko\u015fullar ve Kurulum<\/h3>\n

K\u0131yaslama i\u015flemine ba\u015flamadan \u00f6nce, uygun bir ortam haz\u0131rlaman\u0131z ve gerekli ara\u00e7lar\u0131 kurman\u0131z gerekmektedir.<\/p>\n

Ubuntu 18.04 Ortam\u0131<\/h4>\n

K\u0131yaslama yapaca\u011f\u0131n\u0131z sunucunun Ubuntu 18.04 LTS kurulu olmas\u0131 gerekmektedir. M\u00fcmk\u00fcnse, testleri temiz bir i\u015fletim sistemi kurulumu \u00fczerinde veya \u00fcretim ortam\u0131na en yak\u0131n \u00f6zelliklere sahip bir sanal makine\/fiziksel sunucu \u00fczerinde yap\u0131n. SSH eri\u015fiminiz oldu\u011fundan emin olun.<\/p>\n

Redis Kurulumu<\/h4>\n

Redis’i kurman\u0131n birka\u00e7 yolu vard\u0131r. En kolay yol, Ubuntu’nun paket y\u00f6neticisi apt<\/code> kullanmakt\u0131r:<\/p>\n

sudo apt update\nsudo apt install redis-server<\/code><\/pre>\n
Bu komutlar Redis sunucusunu ve redis-cli<\/code>, redis-benchmark<\/code> gibi yard\u0131mc\u0131 ara\u00e7lar\u0131 kuracakt\u0131r. Kurulumdan sonra Redis’in \u00e7al\u0131\u015ft\u0131\u011f\u0131ndan emin olun:<\/p>\n
sudo systemctl status redis-server<\/code><\/pre>\n
\u00c7\u0131kt\u0131da “active (running)” ifadesini g\u00f6rmelisiniz. Redis’in varsay\u0131lan olarak 6379 portunda \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 ve 127.0.0.1<\/code> adresine ba\u011fl\u0131 oldu\u011funu unutmay\u0131n. K\u0131yaslama yaparken, Redis konfig\u00fcrasyon dosyas\u0131n\u0131 (\/etc\/redis\/redis.conf<\/code>) uygulaman\u0131z\u0131n gereksinimlerine g\u00f6re ayarlaman\u0131z gerekebilir. \u00d6zellikle bind<\/code> ayar\u0131n\u0131, e\u011fer k\u0131yaslama istemcisi farkl\u0131 bir makineden \u00e7al\u0131\u015facaksa, sunucunun IP adresine veya 0.0.0.0<\/code>‘a ayarlaman\u0131z gerekebilir (g\u00fcvenlik risklerini g\u00f6z \u00f6n\u00fcnde bulundurarak).<\/p>\n
Gerekli Ara\u00e7lar\u0131n Kurulumu<\/h4>\n
Redis’in kendi k\u0131yaslama arac\u0131 redis-benchmark<\/code> d\u0131\u015f\u0131nda, sistem kaynaklar\u0131n\u0131 izlemek i\u00e7in baz\u0131 yard\u0131mc\u0131 ara\u00e7lara ihtiyac\u0131n\u0131z olacak:<\/p>\n
*   redis-tools<\/code><\/strong>: Redis sunucusu ile birlikte gelir ve redis-benchmark<\/code> ile redis-cli<\/code> i\u00e7erir.
\n*   sysstat<\/code><\/strong>: Sistem kaynaklar\u0131n\u0131 izlemek i\u00e7in g\u00fc\u00e7l\u00fc bir ara\u00e7 paketi. iostat<\/code>, mpstat<\/code>, vmstat<\/code>, sar<\/code> gibi komutlar\u0131 i\u00e7erir.<\/p>\n
sudo apt install sysstat<\/code><\/pre>\n
*   htop<\/code> veya top<\/code><\/strong>: Ger\u00e7ek zamanl\u0131 CPU, bellek ve s\u00fcre\u00e7 kullan\u0131m\u0131n\u0131 izlemek i\u00e7in. htop<\/code> daha kullan\u0131c\u0131 dostu bir aray\u00fcze sahiptir.<\/p>\n
sudo apt install htop<\/code><\/pre>\n
*   net-tools<\/code><\/strong>: A\u011f ba\u011flant\u0131lar\u0131n\u0131 ve istatistiklerini izlemek i\u00e7in netstat<\/code> komutunu i\u00e7erir.<\/p>\n
sudo apt install net-tools<\/code><\/pre>\n
*   iperf3<\/code> (\u0130ste\u011fe Ba\u011fl\u0131)<\/strong>: E\u011fer a\u011f performans\u0131n\u0131n bir darbo\u011faz olabilece\u011fini d\u00fc\u015f\u00fcn\u00fcyorsan\u0131z, sunucu ve istemci aras\u0131ndaki a\u011f bant geni\u015fli\u011fini ve gecikmesini \u00f6l\u00e7mek i\u00e7in kullan\u0131labilir.<\/p>\n
sudo apt install iperf3<\/code><\/pre>\n
K\u0131yaslamada \u0130zlenecek Temel Metrikler<\/h3>\n
K\u0131yaslama yaparken hem Redis’in kendi i\u00e7inden hem de i\u015fletim sistemi seviyesinden \u00e7e\u015fitli metrikleri izlemek \u00f6nemlidir.<\/p>\n
Redis Taraf\u0131ndan Sa\u011flanan Metrikler<\/h4>\n
Redis’in kendi INFO<\/code> komutu, sunucunun durumu ve performans\u0131 hakk\u0131nda zengin bilgiler sa\u011flar:<\/p>\n
redis-cli INFO<\/code><\/pre>\n
\u00d6zellikle dikkat etmeniz gereken baz\u0131 alanlar \u015funlard\u0131r:<\/p>\n
*   connected_clients<\/code><\/strong>: Ba\u011fl\u0131 istemci say\u0131s\u0131.
\n*   used_memory<\/code><\/strong>: Redis’in kulland\u0131\u011f\u0131 bellek miktar\u0131.
\n*   total_connections_received<\/code><\/strong>: Toplam ba\u011flant\u0131 say\u0131s\u0131.
\n*   rejected_connections<\/code><\/strong>: Redis’in maxclients<\/code> limitine ula\u015ft\u0131\u011f\u0131 i\u00e7in reddetti\u011fi ba\u011flant\u0131 say\u0131s\u0131.
\n*   keyspace_hits<\/code> \/ keyspace_misses<\/code><\/strong>: \u00d6nbellek isabet ve ka\u00e7\u0131rma oranlar\u0131. Y\u00fcksek bir keyspace_misses<\/code> oran\u0131, \u00f6nbelle\u011finizin yeterince verimli olmad\u0131\u011f\u0131n\u0131 veya verilerin Redis’te bulunmad\u0131\u011f\u0131n\u0131 g\u00f6sterebilir.
\n*   evicted_keys<\/code><\/strong>: Bellek limitine ula\u015f\u0131ld\u0131\u011f\u0131 i\u00e7in Redis taraf\u0131ndan silinen anahtar say\u0131s\u0131.
\n*   latest_fork_usec<\/code><\/strong>: RDB veya AOF yeniden yazma gibi arka plan i\u015flemlerinin ne kadar s\u00fcrd\u00fc\u011f\u00fcn\u00fc g\u00f6sterir. Y\u00fcksek de\u011ferler, fork i\u015fleminin CPU’yu uzun s\u00fcre me\u015fgul etti\u011fini ve gecikmeye neden olabilece\u011fini g\u00f6sterir.
\n*   rdb_last_save_time<\/code> \/ aof_last_rewrite_time<\/code><\/strong>: Kal\u0131c\u0131l\u0131k i\u015flemlerinin ne zaman yap\u0131ld\u0131\u011f\u0131n\u0131 g\u00f6sterir.<\/p>\n
Redis’in gecikme (latency) metriklerini do\u011frudan \u00f6l\u00e7mek i\u00e7in:<\/p>\n
redis-cli --latency\nredis-cli --latency-history<\/code><\/pre>\n
Bu komutlar, Redis’in komutlara yan\u0131t verme s\u00fcresini milisaniye cinsinden g\u00f6sterir. Y\u00fcksek gecikme, performans sorunlar\u0131n\u0131n \u00f6nemli bir g\u00f6stergesidir.<\/p>\n
Sistem Seviyesi Metrikler<\/h4>\n
\u0130\u015fletim sistemi ara\u00e7lar\u0131n\u0131 kullanarak a\u015fa\u011f\u0131daki metrikleri izlemelisiniz:<\/p>\n
*   CPU Kullan\u0131m\u0131<\/strong>: top<\/code>, htop<\/code>, mpstat<\/code> veya sar -u<\/code> ile izlenir. \u00d6zellikle user<\/code>, system<\/code>, idle<\/code> ve iowait<\/code> y\u00fczdelerine dikkat edin. Redis tek \u00e7ekirdekli bir yap\u0131ya sahip oldu\u011fundan, bir \u00e7ekirde\u011fin %100’e yak\u0131n kullan\u0131lmas\u0131 darbo\u011faz\u0131 g\u00f6sterebilir.
\n*   Bellek Kullan\u0131m\u0131<\/strong>: free -h<\/code>, top<\/code>, htop<\/code> veya sar -r<\/code> ile izlenir. Redis’in kulland\u0131\u011f\u0131 bellek miktar\u0131 ile sistemin toplam belle\u011fi aras\u0131ndaki ili\u015fki \u00f6nemlidir. Swap kullan\u0131m\u0131ndan ka\u00e7\u0131n\u0131lmal\u0131d\u0131r.
\n*   Disk G\/\u00c7<\/strong>: iostat -x<\/code> veya sar -d<\/code> ile izlenir. \u00d6zellikle kal\u0131c\u0131l\u0131k (RDB\/AOF) a\u00e7\u0131kken disk G\/\u00c7 yo\u011funlu\u011fu artar. await<\/code>, svctm<\/code> ve %util<\/code> de\u011ferleri disk performans\u0131n\u0131 g\u00f6sterir.
\n*   A\u011f G\/\u00c7<\/strong>: netstat -s<\/code>, sar -n DEV<\/code> veya ifstat<\/code> ile izlenir. A\u011f bant geni\u015fli\u011fi, paket kayb\u0131 ve a\u011f aray\u00fcz\u00fc hatalar\u0131, a\u011f\u0131n bir darbo\u011faz olup olmad\u0131\u011f\u0131n\u0131 g\u00f6sterir.<\/p>\n
K\u0131yaslama Ara\u00e7lar\u0131<\/h3>\n
Redis performans\u0131n\u0131 k\u0131yaslamak i\u00e7in \u00e7e\u015fitli ara\u00e7lar mevcuttur. Her birinin farkl\u0131 avantajlar\u0131 ve kullan\u0131m senaryolar\u0131 vard\u0131r.<\/p>\n
redis-benchmark<\/h4>\n
redis-benchmark<\/code>, Redis ile birlikte gelen basit ama etkili bir k\u0131yaslama arac\u0131d\u0131r. \u00c7e\u015fitli Redis komutlar\u0131n\u0131 belirli say\u0131da istek ve e\u015fzamanl\u0131 istemci ile test etmenizi sa\u011flar.<\/p>\n
Temel Kullan\u0131m:<\/strong><\/p>\n
redis-benchmark -t set,get -n 100000 -c 50<\/code><\/pre>\n
Bu komut:
\n*   -t set,get<\/code>: SET<\/code> ve GET<\/code> komutlar\u0131n\u0131 test eder. Birden fazla komutu virg\u00fclle ay\u0131rarak belirtebilirsiniz.
\n*   -n 100000<\/code>: Toplam 100.000 istek yapar.
\n*   -c 50<\/code>: 50 e\u015fzamanl\u0131 istemci kullan\u0131r.<\/p>\n
Yayg\u0131n Se\u00e7enekler:<\/strong><\/p>\n
*   -h <\/code>: Redis sunucusunun IP adresi (varsay\u0131lan: 127.0.0.1).
\n*   -p <\/code>: Redis sunucusunun portu (varsay\u0131lan: 6379).
\n*   -d <\/code>: Anahtar de\u011ferlerinin boyutu (varsay\u0131lan: 2 bayt). B\u00fcy\u00fck de\u011ferler, a\u011f bant geni\u015fli\u011fini ve bellek kullan\u0131m\u0131n\u0131 daha fazla zorlar.
\n*   -P <\/code>: Pipeline boyutunu belirler. Birden fazla komutu tek bir a\u011f iste\u011finde g\u00f6ndermek, a\u011f gecikmesini azaltarak performans\u0131 art\u0131rabilir.
\n*   --latency<\/code>: Sadece gecikmeyi \u00f6l\u00e7er.
\n*   --csv<\/code>: Sonu\u00e7lar\u0131 CSV format\u0131nda \u00e7\u0131kt\u0131 verir.
\n*   --dbnum <\/code>: Belirli bir veritaban\u0131 numaras\u0131n\u0131 kullan\u0131r (varsay\u0131lan: 0).<\/p>\n
\u00d6rnek Senaryolar:<\/strong><\/p>\n
*   Farkl\u0131 veri boyutlar\u0131yla test:<\/strong><\/p>\n
redis-benchmark -t set,get -n 100000 -c 50 -d 100  # 100 baytl\u0131k de\u011ferler\n    redis-benchmark -t set,get -n 100000 -c 50 -d 1024 # 1 KB'l\u0131k de\u011ferler<\/code><\/pre>\n
*   Pipeline etkisini g\u00f6zlemleme:<\/strong><\/p>\n
redis-benchmark -t set,get -n 100000 -c 50          # Pipeline yok\n    redis-benchmark -t set,get -n 100000 -c 50 -P 16    # 16 komutluk pipeline<\/code><\/pre>\n
*   Farkl\u0131 veri yap\u0131lar\u0131n\u0131 test etme:<\/strong><\/p>\n
redis-benchmark -t LPUSH,LPOP -n 100000 -c 50\n    redis-benchmark -t HSET,HGET -n 100000 -c 50<\/code><\/pre>\n
redis-benchmark<\/code> h\u0131zl\u0131 ve kolayd\u0131r, ancak ger\u00e7ek d\u00fcnya uygulama i\u015f y\u00fcklerini tam olarak sim\u00fcle edemeyebilir. Genellikle basit okuma\/yazma h\u0131zlar\u0131n\u0131 ve temel performans e\u011filimlerini anlamak i\u00e7in kullan\u0131l\u0131r.<\/p>\n
YCSB (Yahoo! Cloud Serving Benchmark)<\/h4>\n
YCSB, \u00e7e\u015fitli NoSQL veritabanlar\u0131n\u0131 k\u0131yaslamak i\u00e7in tasarlanm\u0131\u015f daha geli\u015fmi\u015f ve esnek bir \u00e7er\u00e7evedir. Redis i\u00e7in de bir ba\u011flay\u0131c\u0131s\u0131 bulunur ve daha ger\u00e7ek\u00e7i i\u015f y\u00fck\u00fc senaryolar\u0131 olu\u015fturman\u0131za olanak tan\u0131r.<\/p>\n
Kurulum (\u00d6zet):<\/strong>
\nYCSB, Java ve Maven gerektirir. \u00d6nce bunlar\u0131 kurman\u0131z gerekir:<\/p>\n
sudo apt install maven openjdk-11-jdk\ngit clone https:\/\/github.com\/brianfrankcooper\/YCSB.git\ncd YCSB\nmvn clean package<\/code><\/pre>\n
Redis Ba\u011flay\u0131c\u0131s\u0131 ile Kullan\u0131m:<\/strong>
\nYCSB, farkl\u0131 i\u015f y\u00fck\u00fc tipleri (Workload A-F) tan\u0131mlar. \u00d6rne\u011fin, Workload A, %50 okuma ve %50 yazma i\u015flemi i\u00e7eren bir i\u015f y\u00fck\u00fcd\u00fcr.<\/p>\n
1.  Veri Y\u00fckleme (Load Phase):<\/strong><\/p>\n
.\/bin\/ycsb load redis -s -P workloads\/workloada -p redis.host=127.0.0.1 -p redis.port=6379 -p recordcount=1000000<\/code><\/pre>\n
2.  \u00c7al\u0131\u015ft\u0131rma (Run Phase):<\/strong><\/p>\n
.\/bin\/ycsb run redis -s -P workloads\/workloada -p redis.host=127.0.0.1 -p redis.port=6379 -p operationcount=1000000 -p threadcount=50<\/code><\/pre>\n
YCSB’nin Avantajlar\u0131:<\/strong><\/p>\n
*   Ger\u00e7ek\u00e7i \u0130\u015f Y\u00fckleri:<\/strong> \u00d6nceden tan\u0131mlanm\u0131\u015f i\u015f y\u00fckleri (okuma yo\u011fun, yazma yo\u011fun, tarama vb.) veya \u00f6zel i\u015f y\u00fckleri olu\u015fturma yetene\u011fi.
\n*   \u00d6zelle\u015ftirilebilirlik:<\/strong> Kay\u0131t say\u0131s\u0131, i\u015flem say\u0131s\u0131, i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131s\u0131, da\u011f\u0131t\u0131m modelleri (uniform, zipfian) gibi bir\u00e7ok parametreyi ayarlayabilirsiniz.
\n*   Detayl\u0131 Raporlama:<\/strong> \u0130\u015flem ba\u015f\u0131na ortalama gecikme, P95\/P99 gecikme, i\u015flem h\u0131z\u0131 gibi detayl\u0131 istatistikler sunar.<\/p>\n
YCSB, daha karma\u015f\u0131k ve ger\u00e7ek\u00e7i k\u0131yaslamalar i\u00e7in idealdir, ancak kurulumu ve kullan\u0131m\u0131 redis-benchmark<\/code>‘a g\u00f6re daha karma\u015f\u0131kt\u0131r.<\/p>\n
\u00d6zel Betikler ve Uygulamalar<\/h4>\n
En ger\u00e7ek\u00e7i k\u0131yaslama, uygulaman\u0131z\u0131n Redis ile etkile\u015fim \u015feklini tam olarak taklit eden \u00f6zel betikler veya test uygulamalar\u0131 yazmakt\u0131r. \u00c7o\u011fu programlama dilinde (Python, Node.js, Go, Java vb.) Redis istemci k\u00fct\u00fcphaneleri bulunur.<\/p>\n
Avantajlar\u0131:<\/strong><\/p>\n
*   Tam Kontrol:<\/strong> Uygulaman\u0131z\u0131n kulland\u0131\u011f\u0131 tam komut setini, veri yap\u0131lar\u0131n\u0131, anahtar adland\u0131rma \u015femalar\u0131n\u0131 ve i\u015f ak\u0131\u015flar\u0131n\u0131 test edebilirsiniz.
\n*   Ger\u00e7ek D\u00fcnya Senaryolar\u0131:<\/strong> Uygulaman\u0131z\u0131n \u00fcretim ortam\u0131nda kar\u015f\u0131la\u015faca\u011f\u0131 y\u00fck\u00fc en do\u011fru \u015fekilde sim\u00fcle edebilirsiniz.
\n*   Entegre Testler:<\/strong> Mevcut uygulama test altyap\u0131n\u0131za entegre edilebilir.<\/p>\n
Dezavantajlar\u0131:<\/strong><\/p>\n
*   Geli\u015ftirme S\u00fcresi:<\/strong> \u00d6zel betikler yazmak zaman ve \u00e7aba gerektirir.
\n*   Bak\u0131m:<\/strong> Uygulama de\u011fi\u015ftik\u00e7e betiklerin de g\u00fcncellenmesi gerekebilir.<\/p>\n
Bu y\u00f6ntem genellikle, redis-benchmark<\/code> ve YCSB gibi genel ara\u00e7lardan elde edilen verilerin \u00f6tesinde, uygulaman\u0131za \u00f6zel performans sorunlar\u0131n\u0131 derinlemesine incelemek istedi\u011finizde tercih edilir.<\/p>\n
K\u0131yaslama Metodolojisi ve Senaryolar\u0131<\/h3>\n
Etkili bir k\u0131yaslama i\u00e7in, farkl\u0131 senaryolar\u0131 sistematik bir \u015fekilde test etmeniz \u00f6nemlidir.<\/p>\n
Temel Okuma\/Yazma Testleri<\/h4>\n
*   Sadece SET\/GET:<\/strong> Redis’in saf yazma (SET<\/code>) ve okuma (GET<\/code>) h\u0131zlar\u0131n\u0131 \u00f6l\u00e7\u00fcn. Bu, Redis’in temel i\u015flem kapasitesini g\u00f6sterir.
\n*   Kar\u0131\u015f\u0131k \u0130\u015f Y\u00fckleri:<\/strong> Uygulaman\u0131z\u0131n tipik okuma\/yazma oran\u0131n\u0131 yans\u0131tan bir kar\u0131\u015f\u0131m kullan\u0131n (\u00f6rne\u011fin, %70 GET, %30 SET). redis-benchmark<\/code> bunu -t set,get<\/code> ile yaparken, YCSB’de workloada<\/code> veya \u00f6zel bir i\u015f y\u00fck\u00fc kullanabilirsiniz.
\n*   Farkl\u0131 Anahtar-De\u011fer Boyutlar\u0131:<\/strong> K\u00fc\u00e7\u00fck (10-100 bayt), orta (1KB-4KB) ve b\u00fcy\u00fck (10KB+) de\u011ferlerle test yaparak a\u011f bant geni\u015fli\u011finin ve bellek kullan\u0131m\u0131n\u0131n performansa etkisini g\u00f6zlemleyin.<\/p>\n
Veri Yap\u0131s\u0131 Testleri<\/h4>\n
Redis sadece anahtar-de\u011fer \u00e7iftleri depolamaz, ayn\u0131 zamanda listeler, hash’ler, set’ler, s\u0131ral\u0131 set’ler gibi zengin veri yap\u0131lar\u0131 sunar. Uygulaman\u0131z\u0131n yo\u011fun olarak kulland\u0131\u011f\u0131 veri yap\u0131lar\u0131n\u0131 ayr\u0131 ayr\u0131 test edin:<\/p>\n
*   Hash’ler:<\/strong> HSET<\/code>, HGETALL<\/code>, HGET<\/code>.
\n*   Listeler:<\/strong> LPUSH<\/code>, LPOP<\/code>, LRANGE<\/code>.
\n*   Set’ler:<\/strong> SADD<\/code>, SMEMBERS<\/code>.
\n*   S\u0131ral\u0131 Set’ler:<\/strong> ZADD<\/code>, ZRANGE<\/code>.<\/p>\n
Ba\u011flant\u0131 ve E\u015fzamanl\u0131l\u0131k Testleri<\/h4>\n
*   Artan \u0130stemci Say\u0131s\u0131:<\/strong> 1, 10, 50, 100, 500, 1000 gibi farkl\u0131 e\u015fzamanl\u0131 istemci say\u0131lar\u0131yla testler yaparak Redis’in performans\u0131n\u0131n e\u015fzamanl\u0131l\u0131kla nas\u0131l de\u011fi\u015fti\u011fini g\u00f6zlemleyin. Performans\u0131n belirli bir noktadan sonra d\u00fc\u015fmesi, CPU veya a\u011f gibi bir darbo\u011faz\u0131n g\u00f6stergesi olabilir.
\n*   Ba\u011flant\u0131 Havuzlama (Connection Pooling):<\/strong> Uygulaman\u0131zda ba\u011flant\u0131 havuzlama kullan\u0131l\u0131yorsa, bu havuzun boyutunun performans \u00fczerindeki etkisini test edin.<\/p>\n
Bellek Bask\u0131s\u0131 Testleri<\/h4>\n
Redis’in maxmemory<\/code> limitine yakla\u015ft\u0131\u011f\u0131nda veya a\u015ft\u0131\u011f\u0131nda nas\u0131l davrand\u0131\u011f\u0131n\u0131 test edin. Farkl\u0131 maxmemory-policy<\/code> ayarlar\u0131n\u0131n (\u00f6rne\u011fin allkeys-lru<\/code>, noeviction<\/code>) performans ve veri kayb\u0131 \u00fczerindeki etkilerini inceleyin. Bu testler i\u00e7in redis-benchmark<\/code>‘\u0131n -r<\/code> (rastgele anahtar alan\u0131) se\u00e7ene\u011fini kullanmak faydal\u0131 olabilir.<\/p>\n
Kal\u0131c\u0131l\u0131k (Persistence) Testleri<\/h4>\n
Redis’in kal\u0131c\u0131l\u0131k mekanizmalar\u0131 (RDB ve AOF) disk G\/\u00c7’ye neden olur ve performans\u0131 etkileyebilir.<\/p>\n
*   Kal\u0131c\u0131l\u0131k Kapal\u0131:<\/strong> RDB ve AOF tamamen kapal\u0131yken test yap\u0131n. Bu, Redis’in teorik maksimum performans\u0131n\u0131 g\u00f6sterir.
\n*   RDB A\u00e7\u0131k:<\/strong> RDB kal\u0131c\u0131l\u0131\u011f\u0131 a\u00e7\u0131kken (varsay\u0131lan ayarlarla veya \u00f6zel ayarlarla) test yap\u0131n. bgsave<\/code> i\u015fleminin gecikmeye etkisini g\u00f6zlemleyin.
\n*   AOF A\u00e7\u0131k:<\/strong> AOF kal\u0131c\u0131l\u0131\u011f\u0131 a\u00e7\u0131kken (farkl\u0131 appendfsync<\/code> politikalar\u0131yla: always<\/code>, everysec<\/code>, no<\/code>) test yap\u0131n. everysec<\/code> genellikle iyi bir denge sunar. AOF yeniden yazma (rewrite) i\u015flemlerinin performans \u00fczerindeki etkisini de izleyin.<\/p>\n
A\u011f Gecikmesi ve Bant Geni\u015fli\u011fi Testleri<\/h4>\n
E\u011fer Redis sunucusu ile k\u0131yaslama istemcisi farkl\u0131 makinelerdeyse, a\u011f gecikmesi ve bant geni\u015fli\u011fi \u00f6nemli bir fakt\u00f6r haline gelir.<\/p>\n
*   iperf3<\/code> kullanarak sunucu ve istemci aras\u0131ndaki ham a\u011f performans\u0131n\u0131 \u00f6l\u00e7\u00fcn.
\n*   redis-benchmark<\/code>‘\u0131 farkl\u0131 a\u011f ko\u015fullar\u0131 alt\u0131nda \u00e7al\u0131\u015ft\u0131rarak a\u011f\u0131n Redis performans\u0131na etkisini g\u00f6zlemleyin.<\/p>\n
Sonu\u00e7lar\u0131n Analizi ve Yorumlanmas\u0131<\/h3>\n
K\u0131yaslama testlerini \u00e7al\u0131\u015ft\u0131rd\u0131ktan sonra, elde etti\u011finiz verileri dikkatlice analiz etmeniz ve yorumlaman\u0131z gerekir.<\/p>\n
Veri Toplama<\/h4>\n
Her test senaryosu i\u00e7in a\u015fa\u011f\u0131daki verileri toplay\u0131n:<\/p>\n
*   redis-benchmark<\/code> \u00e7\u0131kt\u0131lar\u0131:<\/strong> \u0130\u015flem h\u0131z\u0131 (request\/s), gecikme (latency average, P50, P99).
\n*   Sistem Metrikleri:<\/strong> CPU kullan\u0131m\u0131, bellek kullan\u0131m\u0131, disk G\/\u00c7, a\u011f G\/\u00c7 (test s\u0131ras\u0131nda sar<\/code> veya iostat<\/code> gibi ara\u00e7larla d\u00fczenli aral\u0131klarla veri toplay\u0131n).
\n*   Redis INFO<\/code> \u00e7\u0131kt\u0131lar\u0131:<\/strong> Testten \u00f6nce ve sonra, hatta test s\u0131ras\u0131nda belirli aral\u0131klarla INFO<\/code> komutunun \u00e7\u0131kt\u0131s\u0131n\u0131 kaydedin.<\/p>\n
Metriklerin De\u011ferlendirilmesi<\/h4>\n
*   \u0130stek\/saniye (Throughput):<\/strong> Redis’in belirli bir zaman diliminde i\u015fleyebildi\u011fi i\u015flem say\u0131s\u0131d\u0131r. Bu, uygulaman\u0131z\u0131n y\u00fck\u00fcn\u00fc kald\u0131r\u0131p kald\u0131ramayaca\u011f\u0131n\u0131 g\u00f6steren temel bir metriktir.
\n*   Gecikme (Latency):<\/strong> Bir komutun Redis’e g\u00f6nderilmesi ile yan\u0131t\u0131n al\u0131nmas\u0131 aras\u0131ndaki s\u00fcredir. Ortalama gecikme yan\u0131 s\u0131ra, P95 (isteklerin %95’inin tamamland\u0131\u011f\u0131 s\u00fcre) ve P99 (isteklerin %99’unun tamamland\u0131\u011f\u0131 s\u00fcre) gibi persentil de\u011ferleri, ani gecikme art\u0131\u015flar\u0131n\u0131 ve kuyruk etkilerini anlamak i\u00e7in kritiktir. Y\u00fcksek P99 gecikmesi, baz\u0131 kullan\u0131c\u0131lar\u0131n yava\u015f yan\u0131tlar ald\u0131\u011f\u0131n\u0131 g\u00f6sterir.
\n*   Kaynak Kullan\u0131m\u0131:<\/strong> CPU, bellek, disk, a\u011f kaynaklar\u0131n\u0131n ne kadar kullan\u0131ld\u0131\u011f\u0131na bak\u0131n. Bir kayna\u011f\u0131n s\u00fcrekli olarak %80-100 aras\u0131nda kullan\u0131lmas\u0131, o kayna\u011f\u0131n bir darbo\u011faz oldu\u011funu g\u00f6sterir.
\n*   Hata Oranlar\u0131:<\/strong> Ba\u011flant\u0131 reddi, zaman a\u015f\u0131m\u0131 veya di\u011fer hatalar, sistemin a\u015f\u0131r\u0131 y\u00fcklendi\u011fini veya yanl\u0131\u015f yap\u0131land\u0131r\u0131ld\u0131\u011f\u0131n\u0131 g\u00f6sterebilir.<\/p>\n
Darbo\u011fazlar\u0131n Belirlenmesi<\/h4>\n
Elde edilen verileri birle\u015ftirerek darbo\u011fazlar\u0131 tespit edebilirsiniz:<\/p>\n
*   CPU Darbo\u011faz\u0131:<\/strong> E\u011fer Redis tek bir \u00e7ekirde\u011fi %100’e yak\u0131n kullan\u0131yorsa ve di\u011fer \u00e7ekirdekler bo\u015fta duruyorsa, Redis’in tek i\u015f par\u00e7ac\u0131kl\u0131 yap\u0131s\u0131ndan kaynaklanan bir CPU darbo\u011faz\u0131 ya\u015f\u0131yorsunuz demektir. Bu durumda daha h\u0131zl\u0131 bir CPU veya daha fazla Redis \u00f6rne\u011fi (clustering) d\u00fc\u015f\u00fcnebilirsiniz.
\n*   Bellek Darbo\u011faz\u0131:<\/strong> E\u011fer Redis s\u00fcrekli olarak bellek limitine ula\u015f\u0131yor ve anahtarlar\u0131 at\u0131yorsa (evicted_keys<\/code> art\u0131yorsa) veya sistem swap kullanmaya ba\u015fl\u0131yorsa, bellek darbo\u011faz\u0131 ya\u015f\u0131yorsunuz demektir. Daha fazla RAM eklemek veya veri k\u00fcmenizi k\u00fc\u00e7\u00fcltmek gerekebilir.
\n*   A\u011f Darbo\u011faz\u0131:<\/strong> E\u011fer netstat<\/code> veya sar -n DEV<\/code> \u00e7\u0131kt\u0131lar\u0131 a\u011f aray\u00fcz\u00fcn\u00fcn bant geni\u015fli\u011finin limitlerine ula\u015ft\u0131\u011f\u0131n\u0131 g\u00f6steriyorsa veya y\u00fcksek a\u011f gecikmeleri g\u00f6zlemliyorsan\u0131z, a\u011f kapasitesi bir darbo\u011fazd\u0131r. Daha y\u00fcksek bant geni\u015fli\u011fine sahip bir a\u011f kart\u0131 veya birden fazla a\u011f aray\u00fcz\u00fc gerekebilir.
\n*   Disk G\/\u00c7 Darbo\u011faz\u0131:<\/strong> Kal\u0131c\u0131l\u0131k a\u00e7\u0131kken iostat<\/code> \u00e7\u0131kt\u0131lar\u0131nda y\u00fcksek await<\/code> s\u00fcreleri, d\u00fc\u015f\u00fck svctm<\/code> veya %util’in %100’e yak\u0131n olmas\u0131 disk G\/\u00c7 darbo\u011faz\u0131n\u0131 g\u00f6sterir. Daha h\u0131zl\u0131 SSD’ler veya farkl\u0131 kal\u0131c\u0131l\u0131k stratejileri d\u00fc\u015f\u00fcn\u00fclmelidir.<\/p>\n
Redis Performans\u0131n\u0131 Optimize Etme \u0130pu\u00e7lar\u0131<\/h3>\n
K\u0131yaslama sonu\u00e7lar\u0131na dayanarak Redis performans\u0131n\u0131 art\u0131rmak i\u00e7in \u00e7e\u015fitli optimizasyonlar yapabilirsiniz:<\/p>\n
Redis Konfig\u00fcrasyonu<\/h4>\n
*   maxmemory<\/code> ve maxmemory-policy<\/code>:<\/strong> Bellek limitini ve bu limite ula\u015f\u0131ld\u0131\u011f\u0131nda hangi anahtarlar\u0131n at\u0131laca\u011f\u0131n\u0131 dikkatlice ayarlay\u0131n. Uygulaman\u0131z i\u00e7in en uygun politikay\u0131 se\u00e7in (\u00f6rne\u011fin, allkeys-lru<\/code> veya volatile-lru<\/code>).
\n*   tcp-backlog<\/code>:<\/strong> Y\u00fcksek e\u015fzamanl\u0131 ba\u011flant\u0131 beklentiniz varsa bu de\u011feri art\u0131r\u0131n (\u00f6rn. 511<\/code> veya 1024<\/code>).
\n*   hz<\/code>:<\/strong> Redis’in arka plan g\u00f6revlerini ne s\u0131kl\u0131kla \u00e7al\u0131\u015ft\u0131raca\u011f\u0131n\u0131 belirler. Y\u00fcksek de\u011ferler (\u00f6rn. 100<\/code>), daha iyi hassasiyet ve daha d\u00fc\u015f\u00fck gecikme sa\u011flayabilir ancak CPU kullan\u0131m\u0131n\u0131 art\u0131rabilir.
\n*   Kal\u0131c\u0131l\u0131k Ayarlar\u0131:<\/strong> Uygulaman\u0131z\u0131n veri kayb\u0131 tolerans\u0131na g\u00f6re RDB ve AOF ayarlar\u0131n\u0131 optimize edin. appendfsync everysec<\/code> genellikle performans\u0131 ve veri g\u00fcvenli\u011fini dengeleyen iyi bir se\u00e7enektir.
\n*   bind<\/code> ve protected-mode<\/code>:<\/strong> G\u00fcvenlik i\u00e7in bind<\/code> ayar\u0131n\u0131 sadece Redis’e eri\u015fmesi gereken IP adreslerine ayarlay\u0131n ve protected-mode<\/code>‘u etkin b\u0131rak\u0131n.<\/p>\n
\u0130\u015fletim Sistemi Ayarlar\u0131<\/h4>\n
*   TCP Ayarlar\u0131:<\/strong> sysctl<\/code> ile net.core.somaxconn<\/code> (ba\u011flant\u0131 kuyru\u011fu boyutu) ve net.ipv4.tcp_max_syn_backlog<\/code> (SYN kuyru\u011fu boyutu) gibi de\u011ferleri art\u0131r\u0131n.
\n*   overcommit_memory<\/code>:<\/strong> vm.overcommit_memory = 1<\/code> olarak ayarlamak, Redis’in fork i\u015flemi s\u0131ras\u0131nda bellek tahsisini daha verimli y\u00f6netmesine yard\u0131mc\u0131 olabilir.
\n*   transparent_hugepages<\/code>:<\/strong> Bu \u00f6zelli\u011fi devre d\u0131\u015f\u0131 b\u0131rak\u0131n (echo never > \/sys\/kernel\/mm\/transparent_hugepages\/enabled<\/code>), \u00e7\u00fcnk\u00fc Redis ve di\u011fer bellek yo\u011fun uygulamalar i\u00e7in performans sorunlar\u0131na neden olabilir.
\n*   vm.swappiness<\/code>:<\/strong> Swap kullan\u0131m\u0131n\u0131 en aza indirmek i\u00e7in bu de\u011feri d\u00fc\u015f\u00fcr\u00fcn (\u00f6rne\u011fin, 10<\/code>).
\n*   NUMA Ayarlar\u0131:<\/strong> E\u011fer sunucunuzda NUMA mimarisi varsa, Redis’i tek bir NUMA d\u00fc\u011f\u00fcm\u00fcne ba\u011flamak (numactl --interleave=all<\/code> veya numactl --cpunodebind=0 --membind=0<\/code>) performans\u0131 art\u0131rabilir.<\/p>\n
Donan\u0131m Se\u00e7imi<\/h4>\n
*   CPU:<\/strong> Redis tek i\u015f par\u00e7ac\u0131kl\u0131 oldu\u011fundan, y\u00fcksek saat h\u0131z\u0131na sahip g\u00fc\u00e7l\u00fc tek bir \u00e7ekirdek performans\u0131 i\u00e7in daha \u00f6nemlidir. Ancak arka plan g\u00f6revleri ve i\u015fletim sistemi i\u00e7in birden fazla \u00e7ekirdek faydal\u0131d\u0131r.
\n*   RAM:<\/strong> Y\u00fcksek bant geni\u015fli\u011fine sahip yeterli miktarda RAM, Redis’in bellek i\u00e7i \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flar ve swap kullan\u0131m\u0131n\u0131 \u00f6nler.
\n*   SSD Diskler:<\/strong> Kal\u0131c\u0131l\u0131k a\u00e7\u0131kken disk G\/\u00c7 yo\u011funla\u015faca\u011f\u0131ndan, y\u00fcksek h\u0131zl\u0131 SSD’ler kritik \u00f6neme sahiptir.
\n*   A\u011f Kartlar\u0131:<\/strong> Y\u00fcksek trafik beklentiniz varsa, y\u00fcksek bant geni\u015fli\u011fine sahip (10GbE veya daha y\u00fcksek) a\u011f kartlar\u0131 kullan\u0131n.<\/p>\n
Uygulama Taraf\u0131 Optimizasyonlar\u0131<\/h4>\n
*   Pipeline Kullan\u0131m\u0131:<\/strong> Birden fazla komutu tek bir a\u011f iste\u011finde g\u00f6ndermek i\u00e7in pipelining kullan\u0131n. Bu, a\u011f gecikmesinin etkisini \u00f6nemli \u00f6l\u00e7\u00fcde azalt\u0131r.
\n*   Ba\u011flant\u0131 Havuzlama (Connection Pooling):<\/strong> Her istek i\u00e7in yeni bir ba\u011flant\u0131 a\u00e7mak yerine, mevcut ba\u011flant\u0131lar\u0131 yeniden kullanmak i\u00e7in bir ba\u011flant\u0131 havuzu kullan\u0131n.
\n*   Verimli Veri Yap\u0131lar\u0131:<\/strong> Uygulaman\u0131z\u0131n ihtiya\u00e7lar\u0131na en uygun Redis veri yap\u0131lar\u0131n\u0131 se\u00e7in. \u00d6rne\u011fin, birden fazla alan\u0131 depolamak i\u00e7in SET<\/code> yerine HASH<\/code> kullanmak daha verimli olabilir.
\n*   Anahtar Adland\u0131rma Stratejileri:<\/strong> K\u0131sa ve anlaml\u0131 anahtar adlar\u0131 kullan\u0131n. \u00c7ok uzun anahtar adlar\u0131 bellek kullan\u0131m\u0131n\u0131 art\u0131rabilir.
\n*   KEYS<\/code> ve FLUSHALL<\/code> gibi Komutlardan Ka\u00e7\u0131n\u0131n:<\/strong> \u00dcretim ortam\u0131nda bu komutlar, Redis’i uzun s\u00fcre bloke edebilir ve performans\u0131 ciddi \u015fekilde etkileyebilir.<\/p>\n
Dikkat Edilmesi Gerekenler ve Yayg\u0131n Hatalar<\/h3>\n
*   Test Ortam\u0131n\u0131n Ger\u00e7ek\u00e7ili\u011fi:<\/strong> K\u0131yaslama ortam\u0131, \u00fcretim ortam\u0131na m\u00fcmk\u00fcn oldu\u011funca benzer olmal\u0131d\u0131r (donan\u0131m, a\u011f topolojisi, i\u015fletim sistemi ayarlar\u0131, Redis versiyonu).
\n*   Tekrarlanabilirlik:<\/strong> Her test senaryosunu birden fazla kez \u00e7al\u0131\u015ft\u0131r\u0131n ve ortalama sonu\u00e7lar\u0131 al\u0131n. Farkl\u0131 sonu\u00e7lar, sistemde de\u011fi\u015fkenlik oldu\u011funu veya harici fakt\u00f6rlerin etkili oldu\u011funu g\u00f6sterebilir.
\n*   B\u00fct\u00fcnsel Bak\u0131\u015f:<\/strong> Sadece i\u015flem h\u0131z\u0131na odaklanmak yerine, gecikme, CPU, bellek ve di\u011fer sistem metriklerini birlikte de\u011ferlendirin.
\n*   Cache Warm-up:<\/strong> Testlere ba\u015flamadan \u00f6nce Redis’i ger\u00e7ek\u00e7i bir veri setiyle “\u0131s\u0131t\u0131n” (warm-up). Bo\u015f bir Redis sunucusu \u00fczerinde yap\u0131lan testler yan\u0131lt\u0131c\u0131 olabilir.
\n*   Yanl\u0131\u015f Veri Setleri\/\u0130\u015f Y\u00fckleri:<\/strong> Uygulaman\u0131z\u0131n ger\u00e7ek d\u00fcnya veri boyutlar\u0131n\u0131 ve i\u015flem t\u00fcrlerini do\u011fru \u015fekilde yans\u0131tan veri setleri ve i\u015f y\u00fckleri kullan\u0131n.
\n*   A\u011f Gecikmesi:<\/strong> K\u0131yaslama istemcisini ve Redis sunucusunu ayn\u0131 makinede \u00e7al\u0131\u015ft\u0131rmak, a\u011f gecikmesini ortadan kald\u0131r\u0131r ve Redis’in ham performans\u0131n\u0131 \u00f6l\u00e7er. Ancak, istemci ve sunucu farkl\u0131 makinelerdeyse, a\u011f gecikmesi performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde etkileyecektir. Bu durumu g\u00f6z \u00f6n\u00fcnde bulundurarak testler yap\u0131n.<\/p>\n
Sonu\u00e7<\/h3>\n
Redis sunucusunun Ubuntu 18.04 \u00fczerindeki performans\u0131n\u0131 k\u0131yaslamak, uygulaman\u0131z\u0131n gereksinimlerini kar\u015f\u0131lay\u0131p kar\u015f\u0131lamad\u0131\u011f\u0131n\u0131 anlamak, potansiyel darbo\u011fazlar\u0131 tespit etmek ve sistemi optimize etmek i\u00e7in hayati bir s\u00fcre\u00e7tir. redis-benchmark<\/code> gibi basit ara\u00e7lardan YCSB gibi daha geli\u015fmi\u015f \u00e7er\u00e7evelere ve \u00f6zel betiklere kadar \u00e7e\u015fitli ara\u00e7lar mevcuttur. Her bir arac\u0131n avantajlar\u0131n\u0131 ve dezavantajlar\u0131n\u0131 bilerek, uygulaman\u0131z i\u00e7in en uygun k\u0131yaslama stratejisini belirleyebilirsiniz.<\/p>\n
K\u0131yaslama sadece bir kerelik bir i\u015flem de\u011fildir; sisteminiz de\u011fi\u015ftik\u00e7e, uygulaman\u0131z geli\u015ftik\u00e7e veya y\u00fck artt\u0131k\u00e7a d\u00fczenli olarak tekrarlanmas\u0131 gereken s\u00fcrekli bir s\u00fcre\u00e7tir. Elde edilen verileri dikkatlice analiz ederek ve do\u011fru optimizasyonlar\u0131 uygulayarak, Redis sunucunuzdan maksimum performans\u0131 alabilir ve uygulamalar\u0131n\u0131z\u0131n h\u0131zl\u0131, g\u00fcvenilir ve \u00f6l\u00e7eklenebilir olmas\u0131n\u0131 sa\u011flayabilirsiniz.<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"Redis Sunucusunun Ubuntu 18.04 \u00dczerindeki Performans\u0131n\u0131 Nas\u0131l K\u0131yaslars\u0131n\u0131z?\nRedis, bellek i\u00e7i bir veri yap\u0131s\u0131 sunucusu olarak bilinen ve y","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1468],"tags":[],"class_list":{"0":"post-39372","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-ubuntu","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nRedis Sunucusunun Ubuntu 18.04 \u00dczerindeki Performans\u0131n\u0131 Nas\u0131l K\u0131yaslars\u0131n\u0131z? - Kodlar\u0131n Gizemli D\u00fcnyas\u0131<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/redis-sunucusunun-ubuntu-18-04-uzerindeki-performansini-nasil-kiyaslarsiniz\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Redis Sunucusunun Ubuntu 18.04 \u00dczerindeki Performans\u0131n\u0131 Nas\u0131l K\u0131yaslars\u0131n\u0131z?\" \/>\n<meta property=\"og:description\" content=\"Redis Sunucusunun Ubuntu 18.04 \u00dczerindeki Performans\u0131n\u0131 Nas\u0131l K\u0131yaslars\u0131n\u0131z? 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