開源雲原生數據編排軟件開發商Alluxio宣佈完成5000萬美元C輪融資

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#212529","name":"user"}}],"text":"近日，開源雲原生數據編排軟件開發商"},{"type":"link","attrs":{"href":"https:\/\/www.alluxio.io\/","title":null,"type":null},"content":[{"type":"text","text":"Alluxio"}]},{"type":"text","marks":[{"type":"color","attrs":{"color":"#212529","name":"user"}}],"text":"宣佈完成5000萬美元C輪融資。據瞭解，該輪融資由新投資方高瓴創投領投，戰略投資方和原股東"},{"type":"link","attrs":{"href":"https:\/\/a16z.com\/","title":null,"type":null},"content":[{"type":"text","text":"a16z"}]},{"type":"text","marks":[{"type":"color","attrs":{"color":"#1155CC","name":"user"}}],"text":"、"},{"type":"text","text":"Seven Seas Partners、"},{"type":"link","attrs":{"href":"https:\/\/www.volcanics.com\/#\/","title":null,"type":null},"content":[{"type":"text","text":"火山石投資"}]},{"type":"text","marks":[{"type":"color","attrs":{"color":"#212529","name":"user"}}],"text":"跟投。"},{"type":"text","text":"通過本輪融資，Alluxio將加大產品研發力度，在全球擴大目標市場規模和研發運營覆蓋範圍。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"同時，"},{"type":"text","marks":[{"type":"color","attrs":{"color":"#212529","name":"user"}}],"text":"Alluxio 宣佈將大力拓展國內市場業務，將北京設立爲中國區總部，併成立本地化的研發團隊，以快速響應並滿足衆多國內企業的個性化需求。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"link","attrs":{"href":"https:\/\/github.com\/Alluxio\/alluxio","title":"xxx","type":null},"content":[{"type":"text","text":"Alluxio"}]},{"type":"text","text":"是一個開源的虛擬分佈式文件系統，最初起源於一個叫Tachyon的研究項目，這個項目出自李浩源（Alluxio創始人兼首席執行官）在加州大學伯克利分校AMPLab實驗室讀博期間的博士論文課題。博士畢業後，李浩源將博士論文的研究成果基於Apache 2.0許可協議開源，並創建了同名商業化公司Alluxio。Alluxio的首個版本發佈於2013年，在宣佈C輪融資的同日，Alluxio也發佈了最新的2.7版本。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"從整個生態系統來看，Alluxio處在大數據棧中的計算和存儲之間。它爲計算框架提供了數據抽象層，使得應用能夠通過一個共同的接口連接底層不同的存儲系統。Alluxio能夠部署在私有環境、公有云環境（如Microsoft Azure、AWS、Google Cloud Platform）或混合雲環境中，也可以直接運行在物理機之上或者類似於Kubernetes、Docker的容器化環境當中。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/ey\/be\/eyy515a95ede1becf2f8bebdf935b4be.png","alt":null,"title":"","style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"目前全球有超過1100位貢獻者參與Alluxio開源社區，他們來自於超過三百多個機構組織，包括國內外計算機領域頭部的高校、實驗室，全球排名最靠前的科技公司，以及一些領先的電信公司和金融公司。從部署的角度來講，全球市值最高的前十名互聯網廠商中有八家（"},{"type":"text","marks":[{"type":"color","attrs":{"color":"#212529","name":"user"}}],"text":"包括Facebook、Airbnb、Uber、阿里巴巴、騰訊和字節跳動等"},{"type":"text","text":"）在生產環境裏面部署了Alluxio的軟件系統。與此同時，在全球前六名的雲廠商中有五家雲廠商已經嵌入了Alluxio的技術。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/39\/6d\/396afd81de16199cf891d2143fbyye6d.png","alt":null,"title":"","style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"對於Alluxio的定位以及在市場上的競品情況，李浩源在接受InfoQ等媒體採訪時表示"},{"type":"text","marks":[{"type":"strong"}],"text":"，從戰略層面來講，Alluxio是沒有競品的，從戰術層面來講有競品，但不重要。"},{"type":"text","text":"在他看來，Alluxio這個產品本身源於自己的博士論文，這在一開始算一個很獨特的學術研究。開源之後，團隊花了很多時間和精力去統一社區，把所有的頭部核心企業都納入到Alluxio的開源社區裏。李浩源認爲這是Alluxio做的很成功的一件事，現在絕大部分的頭部互聯網企業、頭部雲廠商以及全球前兩名的芯片廠商英特爾、英偉達都在社區裏面。"},{"type":"text","marks":[{"type":"strong"}],"text":"從這個角度來講，市場不大可能給另外一個同類軟件機會了。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"據稱，Alluxio單一用戶單一集羣已經做到了三四千臺服務器以上的規模，使用比較多的單一用戶甚至有上萬臺機器。李浩源認爲，無論怎麼做軟件，無論花多少時間、精力和資金，沒有幾年時間是很難做出這種能在上萬臺機器上穩定運行的大型分佈式軟件的成果的，所以從戰略的角度來講，“Alluxio的市場領先度極高”。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"李浩源進步一步補充道，從戰術的角度來講，有的時候不是所有用戶上來就把Alluxio當作平臺來用，所以有一些戰術上切入進客戶的小案例，從這個角度來講，Alluxio是有一些小的競爭對手，但是都不重要。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#212529","name":"user"}}],"text":"對於C輪融資資金的使用規劃，李浩源表示，“爲了保持競爭力，各行業的頭部公司都在進行數字化轉型。越來越多的企業架構已轉向混合雲和多雲環境。雖然這種轉變帶來了更大的靈活性和敏捷性，但也意味着必須將計算與存儲分離，這就對企業跨框架、跨雲和跨存儲系統的數據管理和編排提出了新的挑戰，這筆融資將幫助公司進一步推動業務增長，助力全球擴張計劃，進而幫助更多企業解決時下面臨的最複雜的數據挑戰。”"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"在宣佈C輪融資的同一天，Alluxio正式發佈數據編排平臺2.7版本。2.7版本通過並行數據加載、數據預處理和訓練工作流，可將機器學習(ML)訓練的I\/O效率提高5倍，從而顯著降低成本。新版本還提供了更強的性能分析，並能更好地支持Apache Hudi和Iceberg等開放表格格式，使得對數據湖的訪問更易於擴展。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"Alluxio 2.7版本新增功能具體如下："}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#222222","name":"user"}},{"type":"strong"}],"text":" "}]},{"type":"bulletedlist","content":[{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"使用Alluxio和NVIDIA的DALI進行機器學習訓練"}]}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"NVIDIA的數據加載庫(DALI)是一個常用的Python庫，支持通過CPU和GPU進行數據加載和預處理從而加速深度學習。在2.7版本中，Alluxio平臺進行了優化，可以與DALI一起部署用於加速基於Python的ML應用，其中包括模型訓練和推理之前的數據加載和預處理步驟。通過加速I\/O密集型工作並允許並行處理後續的計算密集型訓練，Alluxio數據平臺上的端到端訓練與傳統解決方案相比實現了顯著的性能提升。對於海量小文件的訓練，與其他解決方案相比，該解決方案可以實現橫向擴展（scale-out）。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":" "}]},{"type":"bulletedlist","content":[{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#222222","name":"user"}},{"type":"strong"}],"text":"大規模數據加載"}]}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"Alluxio的核心定位是數據管理能力，這些能力包括對分散的數據源進行統一和實現緩存。隨着Alluxio越來越多地用於計算和存儲跨多個地理位置的場景，Alluxio自身也在不斷擴展。本次更新採用新技術對數據進行批處理，從而增強其可擴展性。批處理通過使用內置執行引擎處理數據加載等任務，減少了管理控制器對資源的需求，從而減少了系統配置的工作量，降低了成本。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":" "}]},{"type":"bulletedlist","content":[{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#222222","name":"user"}},{"type":"strong"}],"text":"Kubernetes上的易用性"}]}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"Alluxio現在支持用於Kubernetes的原生容器存儲接口(CSI)驅動，以及用於ML的Kubernetes operator，這使得在容器化環境中的 Alluxio平臺上操作 ML工作流比以往任何時候都更加容易。 Alluxio的卷類型現在可用於 Kubernetes 環境。敏捷性和易用性是本次新版本關注的重點。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":" "}]},{"type":"bulletedlist","content":[{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"color","attrs":{"color":"#222222","name":"user"}},{"type":"strong"}],"text":"在Presto上基於分析動態調整緩存"}]}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"新版本還推出了智能緩存新功能，名爲Shadow Cache，能夠動態分析緩存大小對響應速度的影響，從而輕鬆實現高性能和低成本之間的平衡。對於大規模的多租戶Presto環境，此新功能通過自助管理顯著降低了管理開銷。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"size","attrs":{"size":10}},{"type":"strong"}],"text":" "}]},{"type":"blockquote","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"瞭解更多有關Alluxio 2.7 版本的信息，請參閱產品博客："}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":" "},{"type":"link","attrs":{"href":"https:\/\/www.alluxio.io\/blog\/whats-new-in-alluxio-2-7\/","title":null,"type":null},"content":[{"type":"text","text":"https:\/\/www.alluxio.io\/blog\/whats-new-in-alluxio-2-7\/"}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"Alluxio 2.7 版本下載地址："}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"link","attrs":{"href":"https:\/\/www.alluxio.io\/download\/","title":null,"type":null},"content":[{"type":"text","text":"https:\/\/www.alluxio.io\/download\/"}]}]}]}]}