DigitalOcean的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列股價、配息、目標價等股票新聞資訊

97 Things Every Sre Should Know

為了解決DigitalOcean的問題，作者Stolarsky, Emil,Woo, Jaime 這樣論述：

Emil Stolarsky is a site reliability engineer, who previously worked on caching, performance, & disaster recovery at Shopify and the internal Kubernetes platform at DigitalOcean. He is the program co-chair for SREcon EMEA 2019 and SREcon Americas West 2020, and contributed a chapter to the O’Reilly

book ＂Seeking SRE.＂Jaime Woo is an award-nominated writer, and is a frequent speaker at SREcon EMEA, Americas West, and Americas East. He spent three years as a molecular biologist, before working at DigitalOcean, Riot, and Shopify, where he launched the engineering communications function.

DigitalOcean進入發燒排行的影片

Kubernetes為基礎之分散式GPU雲端計算平台及其智慧養殖AI服務

為了解決DigitalOcean的問題，作者林仁德 這樣論述：

在箱網養殖的產業中，對箱網魚隻的監控及大數據的累積可以提高生產者的利潤，也可以減少投餌量過多或者時魚隻疾病所帶來的損失。智能化箱網養殖模式研究[1]提出一系統包含:1.水下影像分析系統，透過水下立體攝影機蒐集資料，並即時分析魚隻體長體重等資訊後展示在人機介面，2.水下聲納分析系統，相較於立體影像，藉由水下聲納可以看到更廣更遠的魚隻，3.水質預測系統，在箱網上的感測器模組會定時回傳數據至雲端伺服器。本論文使用Kubernetes-應用程式容器化排程工具建置一套雲端運算平台，將上述的分析系統容器化並集中管理，並證明了智能化箱網養殖系統的可行性。

Getting Started with Istio Service Mesh: Manage Microservices in Kubernetes

為了解決DigitalOcean的問題，作者Sharma, Rahul,Singh, Avinash 這樣論述：

Build an in-depth understanding of the Istio service mesh and see why a service mesh is required for a distributed application. This book covers the Istio architecture and its features using a hands-on approach with language-neutral examples. To get your Istio environment up and running, you will go

through its setup and learn the concepts of control plane and data plane. You will become skilled with the new concepts and apply them with best practices to continuously deliver applications. What You Will LearnDiscover the Istio architecture components and the Envoy proxyMaster traffic management

for service routing and application deploymentBuild application resiliency using timeout, circuit breakers, and connection poolsMonitor using Prometheus and GrafanaConfigure application security Who This Book Is ForDevelopers and project managers who are trying to run their application using Kubern

etes. The book is not specific for any programming language even though all examples will be in Java or Python. Rahul Sharma is a seasoned Java developer with over 14 years of industry experience. In his career, he has worked with companies of various sizes, from enterprises to start-ups. During

this time he has developed and managed microservices on the cloud (AWS/GCE/DigitalOcean) using open source software. He is an open-source enthusiast and shares his experience at local meetups. He is the co-author of Java Unit Testing with JUnit 5 (Apress, 2017).Avinash Singh is an IIT-Kanpur alumnus

with more than ten years of experience in architecture, design, and developing scalable and distributed cloud applications. He has hands-on experience in technologies such as AWS Cloud, J2EE, ROR, MySQL, MongoDB, Spring, and Hibernate. Avinash has a strong understanding of SOA and microservices arc

hitecture, with good handle on resource capacity planning.

模組化核心層級入侵偵測與防禦系統以及使用RPS/RFS機制提升效能的研究

為了解決DigitalOcean的問題，作者伊遠正 這樣論述：

摘要　　隨著現代生活與資訊網路的緊密結合，社會運作所依賴的資訊系統越來越多元化，資訊系統朝向高內聚性、低耦合性的發展，專注在各個資訊系統的核心價值上，而資訊系統也被佈建在多種不同的網路環境中提供服務。但資訊系統的安全性問題也隨著資訊系統的演進而面對更多的挑戰，其中入侵偵測與防禦系統是已經被驗證能有效抵禦攻擊的解決方案，也是本研究討論的主題。　　本研究深入探討入侵偵測與防禦系統的處理流程與資訊系統的運作原理，將Kernel Level入侵偵測與防禦系統運用在不同的系統環境架構中，並且在不同的系統架構中驗證Kernel Level入侵偵測與防禦系統的運作優勢。此外，本研究參考實驗室過往的研究成果

，重新設計與實作出一套Kernel Level的入侵偵測與防禦系統，讓過往建構在Linux Kernel 3.7.9基礎上的Kernel Level入侵偵測與防禦系統，在Linux Kernel 4.15.0上也能順利運作。本研究實作的Kernel Level入侵偵測與防禦系統能在收發封包第一時間即進行威脅偵測，相較運作在User Level的入侵偵測與防禦系統相當大程度減少對網路效能的影響，避免複製資料至User Level、等候CPU Scheduler排程、在Kernel Level與User Level間來回切換的運作成本。在研究實驗中，本研究建構了3種系統環境架構，研究在不同環境架構

中效能瓶頸的問題，並且探究其產生的原因與相應解決的辦法，使用Receive Packet Steering / Receive Flow Steering技術將接收封包的Softirq分配到不同Core上處理，以避免封包集中在同一個Core上處理而造成效能瓶頸的問題。實驗結果顯示，本研究實作的Kernel Level入侵偵測與防禦系統能在不影響系統運作效能下有效的保護資訊系統。