p { margin-bottom: 0.08in; }a:link { }
p { margin-bottom: 0.08in; }a:link { }
We love hearing about organizations that are doing innovative things with Red Hat technologies, which is why we were excited to see this blog post from Twitter's engineering team on how it used Netty, a JBoss Community project, to build a new Java server front-end to its realtime search engine called Blender.
With one of the most heavily trafficked search engines (with more than one billion queries per day, according to Twitter), Twitter set out to build a new search engine that would handle its “ever-growing traffic, improve the end-user latency and availability of our service, and enable rapid development of new search features.” JBoss Netty, a client server framework for the development of highly performable and scalable network applications, turned out to be the answer for Twitter.
Twitter engineering described Blender and how they are using Netty in its blog:
Blender is a Thrift and HTTP service built on Netty, a highly-scalable NIO client server library written in Java that enables the development of a variety of protocol servers and clients quickly and easily. We chose Netty over some of its other competitors, like Mina and Jetty, because it has a cleaner API, better documentation and, more importantly, because several other projects at Twitter are using this framework. To make Netty work with Thrift, we wrote a simple Thrift codec that decodes the incoming Thrift request from Netty’s channel buffer, when it is read from the socket and encodes the outgoing Thrift response, when it is written to the socket.
Netty defines a key abstraction, called a Channel, to encapsulate a connection to a network socket that provides an interface to do a set of I/O operations like read, write, connect, and bind. All channel I/O operations are asynchronous in nature. This means any I/O call returns immediately with a ChannelFuture instance that notifies whether the requested I/O operations succeed, fail, or are canceled.
When a Netty server accepts a new connection, it creates a new channel pipeline to process it. A channel pipeline is nothing but a sequence of channel handlers that implements the business logic needed to process the request. In the next section, we show how Blender maps these pipelines to query processing workflows.
The results?
Following the launch of Blender, our 95th percentile latencies were reduced by 3x from 800ms to 250ms and CPU load on our front-end servers was cut in half. We now have the capacity to serve 10x the number of requests per machine. This means we can support the same number of requests with fewer servers, reducing our front-end service costs.
To learn more about JBoss Netty, visit www.jboss.org/netty. For more on how other organizations are achieving success with Red Hat solutions, visit www.redhat.com/customersuccess.
저자 소개
채널별 검색
오토메이션
기술, 팀, 환경을 포괄하는 자동화 플랫폼에 대한 최신 정보
인공지능
고객이 어디서나 AI 워크로드를 실행할 수 있도록 지원하는 플랫폼 업데이트
클라우드 서비스
관리형 클라우드 서비스 포트폴리오에 대해 더 보기
보안
환경과 기술 전반에 걸쳐 리스크를 감소하는 방법에 대한 최신 정보
엣지 컴퓨팅
엣지에서의 운영을 단순화하는 플랫폼 업데이트
인프라
세계적으로 인정받은 기업용 Linux 플랫폼에 대한 최신 정보
애플리케이션
복잡한 애플리케이션에 대한 솔루션 더 보기
오리지널 쇼
엔터프라이즈 기술 분야의 제작자와 리더가 전하는 흥미로운 스토리
제품
- Red Hat Enterprise Linux
- Red Hat OpenShift Enterprise
- Red Hat Ansible Automation Platform
- 클라우드 서비스
- 모든 제품 보기
툴
체험, 구매 & 영업
커뮤니케이션
Red Hat 소개
Red Hat은 Linux, 클라우드, 컨테이너, 쿠버네티스 등을 포함한 글로벌 엔터프라이즈 오픈소스 솔루션 공급업체입니다. Red Hat은 코어 데이터센터에서 네트워크 엣지에 이르기까지 다양한 플랫폼과 환경에서 기업의 업무 편의성을 높여 주는 강화된 기능의 솔루션을 제공합니다.