{"id":479171,"date":"2023-08-09T10:31:59","date_gmt":"2023-08-09T10:31:59","guid":{"rendered":""},"modified":"2023-11-30T04:10:17","modified_gmt":"2023-11-30T04:10:17","slug":"streaming-network-telemetry","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/streaming-network-telemetry\/","title":{"rendered":"Ak\u0131\u015f A\u011f\u0131 Telemetrisi"},"content":{"rendered":"<p>Ak\u0131\u015fl\u0131 a\u011f telemetrisi, a\u011f performans\u0131n\u0131n ve sa\u011fl\u0131\u011f\u0131n\u0131n nas\u0131l izlendi\u011fi konusunda bir paradigma de\u011fi\u015fikli\u011fini temsil eder. Geleneksel oylamaya dayal\u0131 yakla\u015f\u0131mlar\u0131n aksine, ak\u0131\u015f telemetrisi, a\u011f davran\u0131\u015f\u0131na ili\u015fkin ger\u00e7ek zamanl\u0131, ayr\u0131nt\u0131l\u0131 bilgiler sa\u011flayarak proaktif y\u00f6netime ve sorunlar\u0131n h\u0131zl\u0131 \u00e7\u00f6z\u00fcm\u00fcne olanak tan\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Ak\u0131\u015f A\u011f\u0131 Telemetrisinin Do\u011fu\u015fu<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">A\u011f \u0130zlemenin Geli\u015fiminin Takibi<\/h3>\n\n\n\n<p>Ak\u0131\u015fl\u0131 a\u011f telemetrisi kavram\u0131, veri toplamak i\u00e7in ayg\u0131tlar\u0131n periyodik olarak yoklanmas\u0131na dayanan SNMP (Basit A\u011f Y\u00f6netimi Protokol\u00fc) gibi geleneksel a\u011f izleme y\u00f6ntemlerinin s\u0131n\u0131rlamalar\u0131na bir yan\u0131t olarak ortaya \u00e7\u0131kt\u0131. Bu yakla\u015f\u0131m \u00e7o\u011fu zaman gecikmeli veya eksik verilere yol a\u00e7t\u0131. Ak\u0131\u015fl\u0131 telemetriden ilk kez bahsedilmesi ve benimsenmesi, a\u011flar\u0131n daha karma\u015f\u0131k ve dinamik hale gelmesi ve daha h\u0131zl\u0131 ve ayr\u0131nt\u0131l\u0131 g\u00f6r\u00fcn\u00fcrl\u00fck gerektirmesiyle 21. y\u00fczy\u0131l\u0131n ba\u015flar\u0131nda ba\u015flad\u0131.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Ak\u0131\u015f A\u011f\u0131 Telemetrisinin Temel \u00d6zellikleri<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Kapsaml\u0131 Bir Analiz<\/h3>\n\n\n\n<p>Ak\u0131\u015fl\u0131 a\u011f telemetrisi, a\u011f operasyonlar\u0131nda s\u00fcrekli, ayr\u0131nt\u0131l\u0131 g\u00f6r\u00fcn\u00fcrl\u00fck sa\u011flamas\u0131na olanak tan\u0131yan ger\u00e7ek zamanl\u0131 veri ak\u0131\u015f\u0131 \u00f6zelli\u011fiyle karakterize edilir. Geleneksel yoklama yakla\u015f\u0131m\u0131n\u0131n aksine, olaylar meydana geldik\u00e7e verileri a\u011f cihazlar\u0131ndan merkezi bir izleme sistemine aktar\u0131r. Temel \u00f6zellikler \u015funlar\u0131 i\u00e7erir:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Y\u00fcksek \u00c7\u00f6z\u00fcn\u00fcrl\u00fckl\u00fc Veri<\/strong>: Ayr\u0131nt\u0131l\u0131 ve s\u0131k veri noktalar\u0131 sunar.<\/li>\n\n\n\n<li><strong>\u00d6zelle\u015ftirilebilir Metrikler<\/strong>: \u0130zlenecek belirli metriklerin se\u00e7ilmesine olanak tan\u0131r.<\/li>\n\n\n\n<li><strong>\u00d6l\u00e7eklenebilirlik<\/strong>: B\u00fcy\u00fck \u00f6l\u00e7ekli a\u011f altyap\u0131lar\u0131n\u0131 verimli bir \u015fekilde y\u00f6netir.<\/li>\n\n\n\n<li><strong>Azalt\u0131lm\u0131\u015f A\u011f Ek Y\u00fck\u00fc<\/strong>: Yoklama y\u00f6ntemlerinde gerekli olan s\u00fcrekli sorgulamay\u0131 ortadan kald\u0131r\u0131r.<\/li>\n\n\n\n<li><strong>Olay Odakl\u0131 Uyar\u0131lar<\/strong>: A\u011f olaylar\u0131na an\u0131nda m\u00fcdahale edilmesini kolayla\u015ft\u0131r\u0131r.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Ak\u0131\u015f A\u011f\u0131 Telemetrisinin Uygulamalar\u0131 ve Zorluklar\u0131<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Pratik Kullan\u0131mlar ve Problem \u00c7\u00f6zme Yakla\u015f\u0131mlar\u0131<\/h3>\n\n\n\n<p>Ak\u0131\u015f a\u011f\u0131 telemetrisi \u00e7e\u015fitli alanlarda faydal\u0131d\u0131r:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Performans \u0130zleme<\/strong>: A\u011f performans\u0131n\u0131 ger\u00e7ek zamanl\u0131 olarak izler.<\/li>\n\n\n\n<li><strong>Anomali tespiti<\/strong>: Ola\u011fand\u0131\u015f\u0131 kal\u0131plar\u0131 h\u0131zl\u0131 bir \u015fekilde tan\u0131mlar ve uyar\u0131r.<\/li>\n\n\n\n<li><strong>Kapasite planlamas\u0131<\/strong>: A\u011f y\u00fck\u00fcn\u00fcn anla\u015f\u0131lmas\u0131na ve geni\u015fleme planlamas\u0131na yard\u0131mc\u0131 olur.<\/li>\n\n\n\n<li><strong>G\u00fcvenlik analizi<\/strong>: Potansiyel g\u00fcvenlik ihlallerinin tespit edilmesine yard\u0131mc\u0131 olur.<\/li>\n<\/ol>\n\n\n\n<p>Zorluklar \u015funlar\u0131 i\u00e7erir:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>A\u015f\u0131r\u0131 Veri Y\u00fckleme<\/strong>: \u00dcretilen b\u00fcy\u00fck miktarda verinin y\u00f6netilmesi.<\/li>\n\n\n\n<li><strong>Entegrasyondaki Karma\u015f\u0131kl\u0131k<\/strong>: Mevcut a\u011f y\u00f6netim sistemleriyle entegrasyon.<\/li>\n\n\n\n<li><strong>Kaynak gereksinimleri<\/strong>: \u00d6nemli d\u00fczeyde i\u015flem g\u00fcc\u00fc ve depolama gerektirir.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Ak\u0131\u015f A\u011f\u0131 Telemetrisinin Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Temel \u00d6zellikler ve Benzer Kavramlardan Farkl\u0131l\u0131klar<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>\u00d6zellik<\/th><th>Ak\u0131\u015f Telemetrisi<\/th><th>Geleneksel Oylama<\/th><th>Log Tabanl\u0131 \u0130zleme<\/th><\/tr><\/thead><tbody><tr><td>Veri Da\u011f\u0131t\u0131m\u0131<\/td><td>Ger\u00e7ek zamanl\u0131<\/td><td>Periyodik<\/td><td>Olaylar meydana geldik\u00e7e<\/td><\/tr><tr><td>Par\u00e7al\u0131l\u0131k<\/td><td>Y\u00fcksek<\/td><td>D\u00fc\u015f\u00fck<\/td><td>Orta<\/td><\/tr><tr><td>\u00d6l\u00e7eklenebilirlik<\/td><td>Y\u00fcksek<\/td><td>Il\u0131man<\/td><td>Y\u00fcksek<\/td><\/tr><tr><td>A\u011f Ek Y\u00fck\u00fc<\/td><td>D\u00fc\u015f\u00fck<\/td><td>Y\u00fcksek<\/td><td>Il\u0131man<\/td><\/tr><tr><td>\u00d6zelle\u015ftirilebilirlik<\/td><td>Y\u00fcksek<\/td><td>D\u00fc\u015f\u00fck<\/td><td>Orta<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Ak\u0131\u015f A\u011f\u0131 Telemetrisinde Gelecekteki E\u011filimler<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Yenilikler ve Geli\u015fen Teknolojiler<\/h3>\n\n\n\n<p>Ak\u0131\u015fl\u0131 a\u011f telemetrisinin gelece\u011fi \u015funlarda yatmaktad\u0131r:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>AI ve ML ile entegrasyon<\/strong>: Tahmine dayal\u0131 analitiklerin geli\u015ftirilmesi.<\/li>\n\n\n\n<li><strong>IoT ve U\u00e7 Bilgi \u0130\u015flem<\/strong>: Daha yak\u0131n veri i\u015fleme i\u00e7in IoT a\u011flar\u0131nda geni\u015fleme.<\/li>\n\n\n\n<li><strong>Geli\u015fmi\u015f G\u00fcvenlik \u00d6zellikleri<\/strong>: Geli\u015fmi\u015f g\u00fcvenlik izleme yeteneklerinin geli\u015ftirilmesi.<\/li>\n\n\n\n<li><strong>Bulut Tabanl\u0131 \u00c7\u00f6z\u00fcmler<\/strong>: \u00d6l\u00e7eklenebilirlik ve esneklik i\u00e7in buluta ge\u00e7i\u015f.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">Proxy Sunucular\u0131 ve Ak\u0131\u015fl\u0131 A\u011f Telemetrisi<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Proxy&#039;ler Arac\u0131l\u0131\u011f\u0131yla A\u011f \u0130zlemeyi Geli\u015ftirme<\/h3>\n\n\n\n<p>Proxy sunucular\u0131 a\u015fa\u011f\u0131daki yollarla a\u011f telemetrisinin ak\u0131\u015f\u0131nda \u00f6nemli bir rol oynayabilir:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Veri toplama<\/strong>: Telemetri verilerini toplamak i\u00e7in merkezi noktalar g\u00f6revi g\u00f6r\u00fcr.<\/li>\n\n\n\n<li><strong>Y\u00fck dengeleme<\/strong>: Performans\u0131 korumak i\u00e7in veri i\u015fleme y\u00fck\u00fcn\u00fc da\u011f\u0131tma.<\/li>\n\n\n\n<li><strong>G\u00fcvenlik<\/strong>: Telemetri verileri i\u00e7in ek bir g\u00fcvenlik katman\u0131 g\u00f6revi g\u00f6r\u00fcr.<\/li>\n\n\n\n<li><strong>Veri Anonimle\u015ftirme<\/strong>: Veri i\u015flemede gizlilik ve uygunlu\u011fun sa\u011flanmas\u0131.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">\u0130lgili Ba\u011flant\u0131lar<\/h2>\n\n\n\n<p>Ak\u0131\u015f a\u011f\u0131 telemetrisine ili\u015fkin daha fazla ara\u015ft\u0131rma i\u00e7in \u015fu kaynaklar\u0131 g\u00f6z \u00f6n\u00fcnde bulundurun:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.ietf.org\/\" rel=\"nofollow noopener\" target=\"_blank\">IETF&#039;nin Ak\u0131\u015f Telemetrisine Giri\u015f<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.cisco.com\/\" rel=\"nofollow noopener\" target=\"_blank\">Cisco&#039;nun Ak\u0131\u015f Telemetrisi K\u0131lavuzu<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.juniper.net\/\" rel=\"nofollow noopener\" target=\"_blank\">Ak\u0131\u015f Telemetrisinde Juniper A\u011flar\u0131<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/\" rel=\"nofollow noopener\" target=\"_blank\">Ak\u0131\u015f A\u011f\u0131 Telemetrisine \u0130li\u015fkin Ara\u015ft\u0131rma Makaleleri<\/a><\/li>\n<\/ol>\n\n\n\n<p>Bu yap\u0131land\u0131r\u0131lm\u0131\u015f genel bak\u0131\u015f, \u00f6zellikle proxy sunucularla ba\u011flant\u0131l\u0131 olarak \u00f6nemini, geli\u015fimini ve gelecekteki beklentilerini vurgulayarak ak\u0131\u015fl\u0131 a\u011f telemetrisinin kapsaml\u0131 bir \u015fekilde anla\u015f\u0131lmas\u0131n\u0131 sa\u011flar.<\/p>","protected":false},"featured_media":497630,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479171","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark><\/mark>","faq_items":[{"question":"What is Streaming Network Telemetry?","answer":"Streaming Network Telemetry refers to the continuous, real-time collection, analysis, and delivery of data from network devices and applications. It provides insight into performance, security, and utilization, allowing for quick identification of issues and more effective management of the network."},{"question":"What is the history of the origin of Streaming Network Telemetry?","answer":"Streaming network telemetry emerged in the late 1990s as an evolution of traditional polling-based network monitoring methods. The early 2000s saw the development of protocols that facilitated continuous data collection, and the concept became more prevalent with the advent of cloud computing and large-scale data analytics."},{"question":"How does Streaming Network Telemetry work?","answer":"Streaming network telemetry involves several key components: data collection from network devices, aggregation and pre-processing of the data, real-time analysis to identify trends and anomalies, visualization through dashboards, and actions based on the insights drawn from the data."},{"question":"What are the key features of Streaming Network Telemetry?","answer":"The key features of Streaming Network Telemetry include real-time insights, scalability, flexibility, easy integration with existing tools, and automation capabilities."},{"question":"What types of Streaming Network Telemetry exist?","answer":"There are different types of Streaming Network Telemetry, such as Model-Driven Telemetry, Event-Driven Telemetry, Flow-Based Telemetry, and Application Telemetry."},{"question":"How is Streaming Network Telemetry used, and what are common problems and solutions?","answer":"Streaming Network Telemetry is used for network performance monitoring, security analysis, capacity planning, and troubleshooting. Common problems include data overload, integration challenges, and security concerns. Solutions can include implementing proper filters, utilizing appropriate security measures, and choosing suitable tools and platforms."},{"question":"How does Streaming Network Telemetry compare to Traditional Polling Methods?","answer":"Streaming Network Telemetry offers real-time monitoring, high scalability, high customization, and automation capabilities, unlike traditional polling methods which are limited in these areas."},{"question":"What are the future perspectives and technologies related to Streaming Network Telemetry?","answer":"Future perspectives include the enhancement of predictive analytics through AI and machine learning, edge computing, integration with IoT devices, and continuous evolution of security measures."},{"question":"How can proxy servers like OneProxy be used with Streaming Network Telemetry?","answer":"Proxy servers like OneProxy can be used in streaming network telemetry for load balancing, providing additional security, data transformation, and reducing latency, enhancing the real-time nature of telemetry."}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/479171","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/479171\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/497630"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=479171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}