Learn Grafana 10 X
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Learn Grafana 10 X
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Author : Eric Salituro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-20
Learn Grafana 10 X written by Eric Salituro 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 2023-12-20 with Computers categories.
Get up and running with building data pipelines and creating interactive dashboards to visualize, monitor, and present a wide variety of time-series data with this comprehensive introductory guide Key Features Install, set up, and configure Grafana for real-time data analysis, visualization, and alerting Visualize and monitor data using data sources such as InfluxDB, Telegraf, Prometheus, and Elasticsearch Explore Grafana's cloud support with Microsoft Azure, Amazon CloudWatch, and Google Cloud Monitoring Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGet ready to unlock the full potential of the open-source Grafana observability platform, ideal for analyzing and monitoring time-series data with this updated second edition. This beginners guide will help you get up to speed with Grafana’s latest features for querying, visualizing, and exploring logs and metrics, no matter where they are stored. Starting with the basics, this book demonstrates how to quickly install and set up a Grafana server using Docker. You’ll then be introduced to the main components of the Grafana interface before learning how to analyze and visualize data from sources such as InfluxDB, Telegraf, Prometheus, Logstash, and Elasticsearch. The book extensively covers key panel visualizations in Grafana, including Time Series, Stat, Table, Bar Gauge, and Text, and guides you in using Python to pipeline data, transformations to facilitate analytics, and templating to build dynamic dashboards. Exploring real-time data streaming with Telegraf, Promtail, and Loki, you’ll work with observability features like alerting rules and integration with PagerDuty and Slack. As you progress, the book addresses the administrative aspects of Grafana, from configuring users and organizations to implementing user authentication with Okta and LDAP, as well as organizing dashboards into folders, and more. By the end of this book, you’ll have gained all the knowledge you need to start building interactive dashboards.What you will learn Learn the techniques of data visualization using Grafana Get familiar with the major components of Time series visualization Explore data transformation operations, query inspector, and time interval settings Work with advanced dashboard features, such as annotations, variable-based templating, and dashboard linking and sharing Connect user authentication through Okta, Google, GitHub, and other external providers Discover Grafana’s monitoring support for cloud service infrastructures Who this book is for This book is for business intelligence developers, business analysts, data analysts, and anyone interested in performing time-series data analysis and monitoring using Grafana. You’ll also find this book useful if you’re looking to create and share interactive dashboards or get up to speed with the latest features of Grafana. Although no prior knowledge of Grafana is required, basic knowledge of data visualization and some Python programming experience will help you understand the concepts covered in the book.
Learn Grafana 10 X Second Edition
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Author : Eric Salituro
language : en
Publisher:
Release Date : 2023-12-20
Learn Grafana 10 X Second Edition 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 2023-12-20 with Computers categories.
This book focuses on Grafana 10.x's features for creating interactive dashboards to visualize and monitor data.
Learn Grafana 7 0
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Author : Eric Salituro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-06-25
Learn Grafana 7 0 written by Eric Salituro 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 2020-06-25 with Computers categories.
A comprehensive introduction to help you get up and running with creating interactive dashboards to visualize and monitor time-series data in no time Key Features Install, set up, and configure Grafana for real-time data analysis and visualization Visualize and monitor data using data sources such as InfluxDB, Prometheus, and Elasticsearch Explore Grafana's multi-cloud support with Microsoft Azure, Amazon CloudWatch, and Google Stackdriver Book DescriptionGrafana is an open-source analytical platform used to analyze and monitoring time-series data. This beginner's guide will help you get to grips with Grafana's new features for querying, visualizing, and exploring metrics and logs no matter where they are stored. The book begins by showing you how to install and set up the Grafana server. You'll explore the working mechanism of various components of the Grafana interface along with its security features, and learn how to visualize and monitor data using, InfluxDB, Prometheus, Logstash, and Elasticsearch. This Grafana book covers the advanced features of the Graph panel and shows you how Stat, Table, Bar Gauge, and Text are used. You'll build dynamic dashboards to perform end-to-end analytics and label and organize dashboards into folders to make them easier to find. As you progress, the book delves into the administrative aspects of Grafana by creating alerts, setting permissions for teams, and implementing user authentication. Along with exploring Grafana's multi-cloud monitoring support, you'll also learn about Grafana Loki, which is a backend logger for users running Prometheus and Kubernetes. By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards.What you will learn Find out how to visualize data using Grafana Understand how to work with the major components of the Graph panel Explore mixed data sources, query inspector, and time interval settings Discover advanced dashboard features such as annotations, templating with variables, dashboard linking, and dashboard sharing techniques Connect user authentication to Google, GitHub, and a variety of external services Find out how Grafana can provide monitoring support for cloud service infrastructures Who this book is forThis book is for business intelligence developers, business analysts, data analysts, and anyone interested in performing time-series data analysis and monitoring using Grafana. Those looking to create and share interactive dashboards or looking to get up to speed with the latest features of Grafana will also find this book useful. Although no prior knowledge of Grafana is required, basic knowledge of data visualization and some experience in Python programming will help you understand the concepts covered in the book.
Learn Docker Fundamentals Of Docker 19 X
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Author : Gabriel N. Schenker
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-03-13
Learn Docker Fundamentals Of Docker 19 X written by Gabriel N. Schenker 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 2020-03-13 with Computers categories.
Explore the core functionality of containerizing your applications and making them production-ready Key FeaturesGrasp basic to advanced Docker concepts with this comprehensive guideGet acquainted with Docker containers, Docker images, orchestrators, cloud integration, and networkingLearn to simplify dependencies and deploy and test containers in productionBook Description Containers enable you to package an application with all the components it needs, such as libraries and other dependencies, and ship it as one package. Docker containers have revolutionized the software supply chain in both small and large enterprises. Starting with an introduction to Docker fundamentals and setting up an environment to work with it, you’ll delve into concepts such as Docker containers, Docker images, and Docker Compose. As you progress, the book will help you explore deployment, orchestration, networking, and security. Finally, you’ll get to grips with Docker functionalities on public clouds such as Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP), and learn about Docker Enterprise Edition features. Additionally, you’ll also discover the benefits of increased security with the use of containers. By the end of this Docker book, you’ll be able to build, ship, and run a containerized, highly distributed application on Docker Swarm or Kubernetes, running on-premises or in the cloud. What you will learnContainerize your traditional or microservice-based applicationsDevelop, modify, debug, and test an application running inside a containerShare or ship your application as an immutable container imageBuild a Docker Swarm and a Kubernetes cluster in the cloudRun a highly distributed application using Docker Swarm or KubernetesUpdate or rollback a distributed application with zero downtimeSecure your applications with encapsulation, networks, and secretsTroubleshoot a containerized, highly distributed application in the cloudWho this book is for This book is for Linux professionals, system administrators, operations engineers, DevOps engineers, and developers or stakeholders who are interested in getting started with Docker from scratch. No prior experience with Docker containers is required. Users with a Linux system would be able to take full advantage of this book.
Learn Iot Programming Using Node Red
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Author : Bernardo Ronquillo Japón
language : en
Publisher: BPB Publications
Release Date : 2022-02-03
Learn Iot Programming Using Node Red written by Bernardo Ronquillo Japón and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-03 with Antiques & Collectibles categories.
Program edge devices by learning low-code programming and essentials of IoT systems. KEY FEATURES ● In-depth practical demonstration of the IoT architecture with numerous examples. ● Includes graphical illustrations and uses of popular full-stack tools. ● Access to hardware components and software packages to build powerful IoT systems. DESCRIPTION Learn IoT Programming with Node-RED is an excellent source of practical knowledge for developing a successful Internet of Things system, starting with the very first step of programming a Raspberry Pi, and using numerous open-source software development tools. To begin, the book will provide you with a practical experience of visual programming, fundamentals of Node-RED, and the architecture of an Internet of Things system. The book covers data collecting capabilities and the development of real-time streaming functionalities. The book describes how to set up an Internet of Things infrastructure, manage software development, and integrate physical devices. The book provides IoT projects based on temperature and humidity data recorded as time series. It teaches you how to design the software using a simulated model of the hardware and use the same code to execute it in the actual hardware. Node-RED, Pusher, InfluxDB, and Grafana are some of the professional tools you will learn in this book. After reading the book, you will gain the knowledge to create your own applications that will be connected to the physical environment by means of a range of sensors. WHAT YOU WILL LEARN ● Create IoT systems with NodeRED visual programming. ● Learn to transfer data from IoT devices to machines for analysis using Pusher, a free platform. ● Store time-series data streams to InfluxDB. ● Use NodeRED to process data and execute statistical calculations on the remote machine. ● Create user-friendly Grafana dashboards for environmental monitoring. WHO THIS BOOK IS FOR IoT engineers, roboticists, and embedded system programmers who are interested in learning low-code development and programming hardware devices may benefit from this book. Prior knowledge of Linux and Raspberry Pi may be helpful. TABLE OF CONTENTS 1. Introduction to IoT Applications and Their Software Architecture 2. Getting Started with NodeRED 3. Data Acquisition and Real-time Streaming 4. Real-time Data Processing with NodeRED 5. Storing and Graphing Data Streams with InfluxDB and Grafana 6. The IoT Hardware Package 7. The IoT Software Package
Learn Kubernetes Security
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Author : Kaizhe Huang
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-09
Learn Kubernetes Security written by Kaizhe Huang 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 2020-07-09 with Computers categories.
Secure your container environment against cyberattacks and deliver robust deployments with this practical guide Key FeaturesExplore a variety of Kubernetes components that help you to prevent cyberattacksPerform effective resource management and monitoring with Prometheus and built-in Kubernetes toolsLearn techniques to prevent attackers from compromising applications and accessing resources for crypto-coin miningBook Description Kubernetes is an open source orchestration platform for managing containerized applications. Despite widespread adoption of the technology, DevOps engineers might be unaware of the pitfalls of containerized environments. With this comprehensive book, you'll learn how to use the different security integrations available on the Kubernetes platform to safeguard your deployments in a variety of scenarios. Learn Kubernetes Security starts by taking you through the Kubernetes architecture and the networking model. You'll then learn about the Kubernetes threat model and get to grips with securing clusters. Throughout the book, you'll cover various security aspects such as authentication, authorization, image scanning, and resource monitoring. As you advance, you'll learn about securing cluster components (the kube-apiserver, CoreDNS, and kubelet) and pods (hardening image, security context, and PodSecurityPolicy). With the help of hands-on examples, you'll also learn how to use open source tools such as Anchore, Prometheus, OPA, and Falco to protect your deployments. By the end of this Kubernetes book, you'll have gained a solid understanding of container security and be able to protect your clusters from cyberattacks and mitigate cybersecurity threats. What you will learnUnderstand the basics of Kubernetes architecture and networkingGain insights into different security integrations provided by the Kubernetes platformDelve into Kubernetes' threat modeling and security domainsExplore different security configurations from a variety of practical examplesGet to grips with using and deploying open source tools to protect your deploymentsDiscover techniques to mitigate or prevent known Kubernetes hacksWho this book is for This book is for security consultants, cloud administrators, system administrators, and DevOps engineers interested in securing their container deployments. If you're looking to secure your Kubernetes clusters and cloud-based deployments, you'll find this book useful. A basic understanding of cloud computing and containerization is necessary to make the most of this book.
Machine Learning In Production
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Author : Suhas Pote
language : en
Publisher: BPB Publications
Release Date : 2023-04-29
Machine Learning In Production written by Suhas Pote and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-29 with Computers categories.
Deploy, manage, and scale Machine Learning models with MLOps effortlessly KEY FEATURES ● Explore several ways to build and deploy ML models in production using an automated CI/CD pipeline. ● Develop and convert ML apps into Android and Windows apps. ● Learn how to implement ML model deployment on popular cloud platforms, including Azure, GCP, and AWS. DESCRIPTION ‘Machine Learning in Production’ is an attempt to decipher the path to a remarkable career in the field of MLOps. It is a comprehensive guide to managing the machine learning lifecycle from development to deployment, outlining ways in which you can deploy ML models in production. It starts off with fundamental concepts, an introduction to the ML lifecycle and MLOps, followed by comprehensive step-by-step instructions on how to develop a package for ML code from scratch that can be installed using pip. It then covers MLflow for ML life cycle management, CI/CD pipelines, and shows how to deploy ML applications on Azure, GCP, and AWS. Furthermore, it provides guidance on how to convert Python applications into Android and Windows apps, as well as how to develop ML web apps. Finally, it covers monitoring, the critical topic of machine learning attacks, and A/B testing. With this book, you can easily build and deploy machine learning solutions in production. WHAT YOU WILL LEARN ● Master the Machine Learning lifecycle with MLOps. ● Learn best practices for managing ML models at scale. ● Streamline your ML workflow with MLFlow. ● Implement monitoring solutions using whylogs, WhyLabs, Grafana, and Prometheus. ● Use Docker and Kubernetes for ML deployment. WHO THIS BOOK IS FOR Whether you are a Data scientist, ML engineer, DevOps professional, Software engineer, or Cloud architect, this book will help you get your machine learning models into production quickly and efficiently. TABLE OF CONTENTS 1. Python 101 2. Git and GitHub Fundamentals 3. Challenges in ML Model Deployment 4. Packaging ML Models 5. MLflow-Platform to Manage the ML Life Cycle 6. Docker for ML 7. Build ML Web Apps Using API 8. Build Native ML Apps 9. CI/CD for ML 10. Deploying ML Models on Heroku 11. Deploying ML Models on Microsoft Azure 12. Deploying ML Models on Google Cloud Platform 13. Deploying ML Models on Amazon Web Services 14. Monitoring and Debugging 15. Post-Productionizing ML Models
Frontier Computing
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Author : Jason C. Hung
language : en
Publisher: Springer Nature
Release Date : 2020-02-25
Frontier Computing written by Jason C. Hung and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-25 with Technology & Engineering categories.
This book gathers the proceedings of the 9th International Conference on Frontier Computing, held in Kyushu, Japan on July 9–12, 2019, and provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, web intelligence, and related fields that inspire the development of information technology. The respective contributions cover a wide range of topics: database and data mining, networking and communications, web and internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions, and the book will benefit students, researchers and professionals alike. Further, it offers a useful reference guide for newcomers to the field.
The Deep Learning Architect S Handbook
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Author : Ee Kin Chin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-29
The Deep Learning Architect S Handbook written by Ee Kin Chin 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 2023-12-29 with Computers categories.
Harness the power of deep learning to drive productivity and efficiency using this practical guide covering techniques and best practices for the entire deep learning life cycle Key Features Interpret your models’ decision-making process, ensuring transparency and trust in your AI-powered solutions Gain hands-on experience in every step of the deep learning life cycle Explore case studies and solutions for deploying DL models while addressing scalability, data drift, and ethical considerations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDeep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives. This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency. As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications. By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.What you will learn Use neural architecture search (NAS) to automate the design of artificial neural networks (ANNs) Implement recurrent neural networks (RNNs), convolutional neural networks (CNNs), BERT, transformers, and more to build your model Deal with multi-modal data drift in a production environment Evaluate the quality and bias of your models Explore techniques to protect your model from adversarial attacks Get to grips with deploying a model with DataRobot AutoML Who this book is for This book is for deep learning practitioners, data scientists, and machine learning developers who want to explore deep learning architectures to solve complex business problems. Professionals in the broader deep learning and AI space will also benefit from the insights provided, applicable across a variety of business use cases. Working knowledge of Python programming and a basic understanding of deep learning techniques is needed to get started with this book.
Prometheus Up Running
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Author : Brian Brazil
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-07-09
Prometheus Up Running written by Brian Brazil and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-09 with Computers categories.
Get up to speed with Prometheus, the metrics-based monitoring system used by tens of thousands of organizations in production. This practical guide provides application developers, sysadmins, and DevOps practitioners with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters. This open source system has gained popularity over the past few years for good reason. With its simple yet powerful data model and query language, Prometheus does one thing, and it does it well. Author and Prometheus developer Brian Brazil guides you through Prometheus setup, the Node exporter, and the Alertmanager, then demonstrates how to use them for application and infrastructure monitoring. Know where and how much to apply instrumentation to your application code Identify metrics with labels using unique key-value pairs Get an introduction to Grafana, a popular tool for building dashboards Learn how to use the Node Exporter to monitor your infrastructure Use service discovery to provide different views of your machines and services Use Prometheus with Kubernetes and examine exporters you can use with containers Convert data from other monitoring systems into the Prometheus format