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Learn Grafana 7 0


Learn Grafana 7 0
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Learn Grafana 7 0


Learn Grafana 7 0
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Author : Eric Salituro
language : en
Publisher:
Release Date : 2020-06-25

Learn Grafana 7 0 written by Eric Salituro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-25 with categories.


This book will focus on Grafana 7.0's features to build interactive dashboards to visualize and monitor data. You will cover the administrative aspects of Grafana and working with various plugins. By the end of this book, you will have enough knowledge to query, visualize, and understand your metrics and use the new improved security features.



Kubernetes In Production Best Practices


Kubernetes In Production Best Practices
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Author : Aly Saleh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-12

Kubernetes In Production Best Practices written by Aly Saleh and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-12 with Computers categories.


Design, build, and operate scalable and reliable Kubernetes infrastructure for production Key FeaturesImplement industry best practices to build and manage production-grade Kubernetes infrastructureLearn how to architect scalable Kubernetes clusters, harden container security, and fine-tune resource managementUnderstand, manage, and operate complex business workloads confidentlyBook Description Although out-of-the-box solutions can help you to get a cluster up and running quickly, running a Kubernetes cluster that is optimized for production workloads is a challenge, especially for users with basic or intermediate knowledge. With detailed coverage of cloud industry standards and best practices for achieving scalability, availability, operational excellence, and cost optimization, this Kubernetes book is a blueprint for managing applications and services in production. You'll discover the most common way to deploy and operate Kubernetes clusters, which is to use a public cloud-managed service from AWS, Azure, or Google Cloud Platform (GCP). This book explores Amazon Elastic Kubernetes Service (Amazon EKS), the AWS-managed version of Kubernetes, for working through practical exercises. As you get to grips with implementation details specific to AWS and EKS, you'll understand the design concepts, implementation best practices, and configuration applicable to other cloud-managed services. Throughout the book, you'll also discover standard and cloud-agnostic tools, such as Terraform and Ansible, for provisioning and configuring infrastructure. By the end of this book, you'll be able to leverage Kubernetes to operate and manage your production environments confidently. What you will learnExplore different infrastructure architectures for Kubernetes deploymentImplement optimal open source and commercial storage management solutionsApply best practices for provisioning and configuring Kubernetes clusters, including infrastructure as code (IaC) and configuration as code (CAC)Configure the cluster networking plugin and core networking components to get the best out of themSecure your Kubernetes environment using the latest tools and best practicesDeploy core observability stacks, such as monitoring and logging, to fine-tune your infrastructureWho this book is for This book is for cloud infrastructure experts, DevOps engineers, site reliability engineers, and engineering managers looking to design and operate Kubernetes infrastructure for production. Basic knowledge of Kubernetes, Terraform, Ansible, Linux, and AWS is needed to get the most out of this book.



Intelligent Systems In Big Data Semantic Web And Machine Learning


Intelligent Systems In Big Data Semantic Web And Machine Learning
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Author : Noreddine Gherabi
language : en
Publisher: Springer Nature
Release Date : 2021-05-28

Intelligent Systems In Big Data Semantic Web And Machine Learning written by Noreddine Gherabi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-28 with Computers categories.


This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.



Nordic Artificial Intelligence Research And Development


Nordic Artificial Intelligence Research And Development
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Author : Evi Zouganeli
language : en
Publisher: Springer Nature
Release Date : 2023-02-01

Nordic Artificial Intelligence Research And Development written by Evi Zouganeli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-01 with Computers categories.


This book constitutes the refereed proceedings of the 4th Symposium of the Norwegian AI Society, NAIS 2022, held in Oslo, Norway, during May 31–June 1, 2022. The 11 full papers included in this book were carefully reviewed and selected from 17 submissions. They were organized in topical sections as follows: robotics and intelligent systems; ai in cyber and digital sphere; ai in biological applications and medicine; and towards new ai methods. This is an open access book.



Internet Of Things Based Machine Learning In Healthcare


Internet Of Things Based Machine Learning In Healthcare
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Author : Prasenjit Dey
language : en
Publisher: CRC Press
Release Date : 2024-06-10

Internet Of Things Based Machine Learning In Healthcare written by Prasenjit Dey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-10 with Computers categories.


The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems. Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services Discusses unsupervised genetic algorithm-based automatic heart disease prediction Covers Internet of Things–based hardware mechanisms and machine learning algorithms to predict the stress level of patients The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.



Enterprise Design Operations And Computing Edoc 2024 Workshops


Enterprise Design Operations And Computing Edoc 2024 Workshops
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Author : Monika Kaczmarek-Heß
language : en
Publisher: Springer Nature
Release Date : 2025-02-08

Enterprise Design Operations And Computing Edoc 2024 Workshops written by Monika Kaczmarek-Heß and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-08 with Business & Economics categories.


This volume constitutes revised selected papers of two workshops, the Doctoral Consortium, the Joint CBI-EDOC Forum and and other Joint CBI-EDOC event, which were held in conjunction with the 28th International Conference on Enterprise Design, Operations, and Computing, EDOC 2024, in Vienna, Austria, in September 10–13, 2024. The presented revised full papers in this book were carefully reviewed and selected. They stem from the following satellite events: iRESEARCH – 2nd International Workshop on Empirical Methodologies for Research in Enterprise Architecture and Service-oriented Computing MIDas4CS – 2nd Workshop on the Modelling and Implementation of Digital Twins for Complex Systems Joint CBI–EDOC Forum Joint CBI–EDOC Case Reports Track Joint CBI–EDOC Tools & Demos Track EDOC Doctoral Consortium CBI Mini Dagstuhl Seminars



Machine Learning And Big Data Analytics Proceedings Of International Conference On Machine Learning And Big Data Analytics Icmlbda 2021


Machine Learning And Big Data Analytics Proceedings Of International Conference On Machine Learning And Big Data Analytics Icmlbda 2021
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Author : Rajiv Misra
language : en
Publisher: Springer Nature
Release Date : 2021-09-29

Machine Learning And Big Data Analytics Proceedings Of International Conference On Machine Learning And Big Data Analytics Icmlbda 2021 written by Rajiv Misra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-29 with Computers categories.


This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.



Istio In Action


Istio In Action
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Author : Christian E. Posta
language : en
Publisher: Simon and Schuster
Release Date : 2022-05-03

Istio In Action written by Christian E. Posta and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-03 with Computers categories.


Solve difficult service-to-service communication challenges around security, observability, routing, and resilience with an Istio-based service mesh. Istio allows you to define these traffic policies as configuration and enforce them consistently without needing any service-code changes. In Istio in Action you will learn: Why and when to use a service mesh Envoy's role in Istio's service mesh Allowing "North-South" traffic into a mesh Fine-grained traffic routing Make your services robust to network failures Gain observability over your system with telemetry "golden signals" How Istio makes your services secure by default Integrate cloud-native applications with legacy workloads such as in VMs Reduce the operational complexity of your microservices with an Istio-powered service mesh! Istio in Action shows you how to implement this powerful new architecture and move your application-networking concerns to a dedicated infrastructure layer. Non-functional concerns stay separate from your application, so your code is easier to understand, maintain, and adapt regardless of programming language. In this practical guide, you'll go hands-on with the full-featured Istio service mesh to manage microservices communication. Helpful diagrams, example configuration, and examples make it easy to understand how to control routing, secure container applications, and monitor network traffic. Foreword by Eric Brewer. About the technology Offload complex microservice communication layer challenges to Istio! The industry-standard Istio service mesh radically simplifies security, routing, observability, and other service-to-service communication challenges. With Istio, you use a straightforward declarative configuration style to establish application-level network policies. By separating communication from business logic, your services are easier to write, maintain, and modify. About the book Istio in Action teaches you how to implement an Istio-based service mesh that can handle complex routing scenarios, traffic encryption, authorization, and other common network-related tasks. You'll start by defining a basic service mesh and exploring the data plane with Istio’s service proxy, Envoy. Then, you'll dive into core topics like traffic routing and visualization and service-to-service authentication, as you expand your service mesh to workloads on multiple clusters and legacy VMs. What's inside Comprehensive coverage of Istio resources Practical examples to showcase service mesh capabilities Implementation of multi-cluster service meshes How to extend Istio with WebAssembly Traffic routing and observability VM integration into the mesh About the reader For developers, architects, and operations engineers. About the author Christian Posta is a well-known architect, speaker, and contributor. Rinor Maloku is an engineer at Solo.io working on application networking solutions. ToC PART 1 UNDERSTANDING ISTIO 1 Introducing the Istio service mesh 2 First steps with Istio 3 Istio's data plane: The Envoy proxy PART 2 SECURING, OBSERVING, AND CONTROLLING YOUR SERVICE’S NETWORK TRAFFIC 4 Istio gateways: Getting traffic into a cluster 5 Traffic control: Fine-grained traffic routing 6 Resilience: Solving application networking challenges 7 Observability: Understanding the behavior of your services 8 Observability: Visualizing network behavior with Grafana, Jaeger, and Kiali 9 Securing microservice communication PART 3 ISTIO DAY-2 OPERATIONS 10 Troubleshooting the data plane 11 Performance-tuning the control plane PART 4 ISTIO IN YOUR ORGANIZATION 12 Scaling Istio in your organization 13 Incorporating virtual machine workloads into the mesh 14 Extending Istio on the request path