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MongoDB Fundamentals: A hands-on guide to using MongoDB and Atlas in the real world
by Michael Harrison Amit Phaltankar Juned Ahsan Liviu NedovLearn how to deploy and monitor databases in the cloud, manipulate documents, visualize data, and build applications running on MongoDB using Node.jsKey FeaturesLearn the fundamentals of NoSQL databases with MongoDBCreate, manage, and optimize a MongoDB database in the cloud using AtlasUse a real-world dataset to gain practical experience of handling big dataBook DescriptionMongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently.Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start – showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you'll perform data visualization using MongoDB Charts.You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app.By the end of this book, you'll have the skills and confidence to process large volumes of data and tackle your own projects using MongoDB.What you will learnSet up and use MongoDB Atlas on the cloudInsert, update, delete, and retrieve data from MongoDBBuild aggregation pipelines to perform complex queriesOptimize queries using indexesMonitor databases and manage user authorizationImprove scalability and performance with sharding clustersReplicate clusters, back up your database, and restore dataCreate data-driven charts and reports from real-time dataWho this book is forThis book is designed for people who are new to MongoDB. It is suitable for developers, database administrators, system administrators, and cloud architects who are looking to use MongoDB for smooth data processing in the cloud. Although not necessary, basic knowledge of a general programming language and experience with other databases will help you grasp the topics covered more easily.
MongoDB High Availability
by Afshin MehrabaniThis book has a perfect balance of concepts and their practical implementation along with solutions to make a highly available MongoDB server with clear instructions and guidance. If you are using MongoDB in a production environment and need a solution to make a highly available MongoDB server, this book is ideal for you. Familiarity with MongoDB is expected so that you understand the content of this book.
MongoDB Performance Tuning: Optimizing MongoDB Databases and their Applications
by Michael Harrison Guy HarrisonUse this fast and complete guide to optimize the performance of MongoDB databases and the applications that depend on them. You will be able to turbo-charge the performance of your MongoDB applications to provide a better experience for your users, reduce your running costs, and avoid application growing pains. MongoDB is the world’s most popular document database and the foundation for thousands of mission-critical applications. This book helps you get the best possible performance from MongoDB.MongoDB Performance Tuning takes a methodical and comprehensive approach to performance tuning that begins with application and schema design and goes on to cover optimization of code at all levels of an application. The book also explains how to configure MongoDB hardware and cluster configuration for optimal performance. The systematic approach in the book helps you treat the true causes of performance issues and get the best return on your tuning investment. Even when you’re under pressure and don’t know where to begin, simply follow the method in this book to set things right and get your MongoDB performance back on track.What You Will LearnApply a methodical approach to MongoDB performance tuningUnderstand how to design an efficient MongoDB applicationOptimize MongoDB document design and indexing strategiesTune MongoDB queries, aggregation pipelines, and transactionsOptimize MongoDB server resources: CPU, memory, diskConfigure MongoDB Replica sets and Sharded clusters for optimal performanceWho This Book Is ForDevelopers and administrators of high-performance MongoDB applications who want to be sure they are getting the best possible performance from their MongoDB system. For developers who wish to create applications that are fast, scalable, and cost-effective. For administrators who want to optimize their MongoDB server and hardware configuration.
MongoDB Recipes: With Data Modeling and Query Building Strategies
by Subhashini Chellappan Dharanitharan GanesanGet the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss.MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. You’ll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB.What You Will Learn Work with the MongoDB document model Design MongoDB schemas Use the MongoDB query languageHarness the aggregation frameworkCreate replica sets and sharding in MongoDBWho This Book Is ForDevelopers and professionals who work with MongoDB.
MongoDB Topology Design: Scalability, Security, and Compliance on a Global Scale
by Nicholas CottrellCreate a world-class MongoDB cluster that is scalable, reliable, and secure. Comply with mission-critical regulatory regimes such as the European Union’s General Data Protection Regulation (GDPR). Whether you are thinking of migrating to MongoDB or need to meet legal requirements for an existing self-managed cluster, this book has you covered. It begins with the basics of replication and sharding, and quickly scales up to cover everything you need to know to control your data and keep it safe from unexpected data loss or downtime.This book covers best practices for stable MongoDB deployments. For example, a well-designed MongoDB cluster should have no single point of failure. The book covers common use cases when only one or two data centers are available. It goes into detail about creating geopolitical sharding configurations to cover the most stringent data protection regulation compliance. The book also covers different tools and approaches for automating and monitoring a cluster with Kubernetes, Docker, and popular cloud provider containers. What You Will LearnGet started with the basics of MongoDB clustersProtect and monitor a MongoDB deploymentDeepen your expertise around replication and shardingKeep effective backups and plan ahead for disaster recoveryRecognize and avoid problems that can occur in distributed databasesBuild optimal MongoDB deployments within hardware and data center limitationsWho This Book Is ForSolutions architects, DevOps architects and engineers, automation and cloud engineers, and database administrators who are new to MongoDB and distributed databases or who need to scale up simple deployments. This book is a complete guide to planning a deployment for optimal resilience, performance, and scaling, and covers all the details required to meet the new set of data protection regulations such as the GDPR. This book is particularly relevant for large global organizations such as financial and medical institutions, as well as government departments that need to control data in the whole stack and are prohibited from using managed cloud services.
MongoDB and PHP: Document-Oriented Data for Web Developers (Oreilly And Associate Ser.)
by Steve FranciaWhat would happen if you optimized a data store for the operations application developers actually use? You’d arrive at MongoDB, the reliable document-oriented database. With this concise guide, you’ll learn how to build elegant database applications with MongoDB and PHP.Written by the Chief Solutions Architect at 10gen—the company that develops and supports this open source database—this book takes you through MongoDB basics such as queries, read-write operations, and administration, and then dives into MapReduce, sharding, and other advanced topics. Get out of the relational database rut, and take advantage of a high-performing system optimized for operations and scale.Learn step-by-step the tools you need to build PHP applications with MongoDBPerform Create, Read, Update, and Delete (CRUD) operations, and learn how to perform queries to retrieve dataAdminister your database, and access and manipulate data with the MongoDB ShellUse functions to work with sets, arrays, and multiple documents to perform synchronous, asynchronous, and atomic operationsDiscover PHP’s community tools and libraries, and why they’re valuableWork with regular expressions, aggregation, MapReduce, replication, and sharding
MongoDB and Python: Patterns and processes for the popular document-oriented database
by Niall O'HigginsLearn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios.This guide explains the basics of the document-oriented database and shows you how to set up a Python environment with it. Learn how to read and write to MongoDB, apply idiomatic MongoDB and Python patterns, and use the database with several popular Python web frameworks. You’ll discover how to model your data, write effective queries, and avoid concurrency problems such as race conditions and deadlocks.The recipes will help you:Read, write, count, and sort documents in a MongoDB collectionLearn how to use the rich MongoDB query languageMaintain data integrity in replicated/distributed MongoDB environmentsUse embedding to efficiently model your data without joinsCode defensively to avoid keyerrors and other bugsApply atomic operations to update game scores, billing systems, and more with the fast accounting patternUse MongoDB with the Pylons 1.x, Django, and Pyramid web frameworks
MongoDB for Java Developers
by Francesco MarchioniThis book is for Java developers and architects who want to learn how to develop Java applications using the most popular NoSQL solution and the use cases of it.
MongoDB in Action: Covers MongoDB version 3.0
by Kyle Banker Douglas Garrett Peter Bakkum Shaun VerchSummaryMongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyThis document-oriented database was built for high availability, supports rich, dynamic schemas, and lets you easily distribute data across multiple servers. MongoDB 3.0 is flexible, scalable, and very fast, even with big data loads.About the BookMongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. Lots of examples will help you develop confidence in the crucial area of data modeling. You'll also love the deep explanations of each feature, including replication, auto-sharding, and deployment.What's InsideIndexes, queries, and standard DB operationsAggregation and text searchingMap-reduce for custom aggregations and reportingDeploying for scale and high availabilityUpdated for Mongo 3.0 About the ReaderWritten for developers. No previous MongoDB or NoSQL experience is assumed.About the AuthorsAfter working at MongoDB, Kyle Banker is now at a startup. Peter Bakkum is a developer with MongoDB expertise. Shaun Verch has worked on the core server team at MongoDB. A Genentech engineer, Doug Garrett is one of the winners of the MongoDB Innovation Award for Analytics. A software architect, Tim Hawkins has led search engineering at Yahoo Europe. Technical Contributor: Wouter Thielen. Technical Editor: Mihalis Tsoukalos. Table of ContentsPART 1 GETTING STARTEDA database for the modern web MongoDB through the JavaScript shell Writing programs using MongoDB PART 2 APPLICATION DEVELOPMENT IN MONGODBDocument-oriented data Constructing queries Aggregation Updates, atomic operations, and deletes PART 3 MONGODB MASTERYIndexing and query optimization Text search WiredTiger and pluggable storage Replication Scaling your system with sharding Deployment and administration
MongoDB: Powerful and Scalable Data Storage
by Kristina Chodorow Shannon Bradshaw Eoin BrazilManage your data with a system designed to support modern application development. Updated for MongoDB 4.2, the third edition of this authoritative and accessible guide shows you the advantages of using document-oriented databases. You’ll learn how this secure, high-performance system enables flexible data models, high availability, and horizontal scalability.Authors Shannon Bradshaw, Eoin Brazil, and Kristina Chodorow provide guidance for database developers, advanced configuration for system administrators, and use cases for a variety of projects. NoSQL newcomers and experienced MongoDB users will find updates on querying, indexing, aggregation, transactions, replica sets, ops management, sharding and data administration, durability, monitoring, and security.In six parts, this book shows you how to:Work with MongoDB, perform write operations, find documents, and create complex queriesIndex collections, aggregate data, and use transactions for your applicationConfigure a local replica set and learn how replication interacts with your applicationSet up cluster components and choose a shard key for a variety of applicationsExplore aspects of application administration and configure authentication and authorizationUse stats when monitoring, back up and restore deployments, and use system settings when deploying MongoDB
MongoDB: Powerful and Scalable Data Storage
by Kristina ChodorowManage the huMONGOus amount of data collected through your web application with MongoDB. This authoritative introduction--written by a core contributor to the project--shows you the many advantages of using document-oriented databases, and demonstrates how this reliable, high-performance system allows for almost infinite horizontal scalability. This updated second edition provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Ideal for NoSQL newcomers and experienced MongoDB users alike, this guide provides numerous real-world schema design examples. Get started with MongoDB core concepts and vocabulary Perform basic write operations at different levels of safety and speed Create complex queries, with options for limiting, skipping, and sorting results Design an application that works well with MongoDB Aggregate data, including counting, finding distinct values, grouping documents, and using MapReduce Gather and interpret statistics about your collections and databases Set up replica sets and automatic failover in MongoDB Use sharding to scale horizontally, and learn how it impacts applications Delve into monitoring, security and authentication, backup/restore, and other administrative tasks
MongoDB: The Definitive Guide
by Kristina Chodorow Michael DirolfHow does MongoDB help you manage a huMONGOus amount of data collected through your web application? With this authoritative introduction, you'll learn the many advantages of using document-oriented databases, and discover why MongoDB is a reliable, high-performance system that allows for almost infinite horizontal scalability. Written by engineers from 10gen, the company that develops and supports this open source database, MongoDB: The Definitive Guide provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Learn how easy it is to handle data as self-contained JSON-style documents, rather than as records in a relational database. Explore ways that document-oriented storage will work for your project Learn how MongoDB's schema-free data model handles documents, collections, and multiple databases Execute basic write operations, and create complex queries to find data with any criteria Use indexes, aggregation tools, and other advanced query techniques Learn about monitoring, security and authentication, backup and repair, and more Set up master-slave and automatic failover replication in MongoDB Use sharding to scale MongoDB horizontally, and learn how it impacts applications Get example applications written in Java, PHP, Python, and Ruby
Mongoose for Application Development
by Simon HolmesThis book is a mini tutorial full of code examples and strategies to give you plenty of options when building your own applications with MongoDB.This book is ideal for people who want to develop applications on the Node.js stack quickly and efficiently. Prior knowledge of the stack is not essential as the book briefly covers the installation of the core components and builds all aspects of the example application. The focus of the book is on what Mongoose adds to you applications, so experienced Node.js developers will also benefit.
Mongrel
by Angel N. SciortinoThis shortcut teaches you how to use Mongrel, the new high-performance web application container for Rails. It starts with basic setup and installation, but goes well beyond the basics, showing you how to set up Mongrel clusters, how to use Mongrel behind Apache and other web servers, and more. Mongrel has given Rails developers a first-rate server. If you've suffered through Rails apps deployed on Apache or Lighttpd with FCGI, suffer no more! Start using Mongrel, and say good-bye to FCGI and all its problems.
Monitoring Cloud-Native Applications: Lead Agile Operations Confidently Using Open Source Software
by Ajit Pratap Kundan Mainak ChakrabortyIntroduce yourself to the nuances of modern monitoring for cloud-native applications running on Kubernetes clusters. This book will help you get started with the concepts of monitoring, introduce you to popular open-source monitoring tools, and help with finding the correct set of use cases for their implementation. It covers the in-depth technical details of open-source software used in modern monitoring systems that are tailor made for environments running microservices.Monitoring Cloud-Native Applications is divided into two parts. Part 1 starts with an introduction to cloud-native applications and the foundational concepts of monitoring. It then walks you through the various aspects of monitoring containerized workloads using Kubernetes as the de-facto orchestration platform. You will dive deep into the architecture of a modern monitoring system and look at its individual components in detail.Part 2 introduces you to popular open-source tools which are used by enterprises and startups alike and are well established as the tools of choice for industry stalwarts. First off, you will look at Prometheus and understand its architecture and usage. You will also learn about InfluxDB, formerly called TICK Stack (Telegraf, InfluxDB, Chronograf, and Kapacitor). You will explore the technical details of its architecture and the use cases which it solves. In the next chapter, you will be introduced to Grafana, a multi-platform open source analytics and interactive visualization tool that can help you with visualization of data and dashboards. After reading this book, you will have a much better understanding of key terminologies and general concepts around monitoring and observability. You will also be able to select a suitable monitoring solution from the bouquet of open-source monitoring solutions available for applications, microservices, and containers. Armed with this knowledge, you will be better prepared to design and lead a successful agile operations team.What You Will LearnMonitor and observe of metrics, events, logs, and tracesCarry out infrastructure and application monitoring for microservices architectureAnalyze and visualize collected dataUse alerting, reporting, and automated actions for problem resolutionWho This Book Is ForDevOps administrators, cloud administrators, and site reliability engineers (SREs) who manage and monitor applications and cloud infrastructure on a day-to-day basis within their organizations.
Monitoring Docker
by Russ MckendrickMonitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!About This BookGet the only book that covers multiple methods to monitoring Docker Containers -your one-stop solution to all your Docker monitoring needsLearn how to implement third-party tools such as Datalog, cAdvisor, and more with this example-rich, hands-on guideLearn how to efficiently monitor Docker containers and get an edge over other administrators while maintaining apps on these containersWho This Book Is ForThis book is for DevOps engineers and system administrators who manage Docker containers and want to better manage these containers using expert techniques and methods and better maintain applications built on Docker.What You Will LearnDiscover the tools built into Docker to gain an insight into your containers' performanceAugment Docker's built-in tools with modern tools such as cAdvisor from Google, SysDig by Draios, and Soundcloud's PrometheusIntegrate the monitoring of your containers with more traditional monitoring solutions such as ZabbixTake advantage of the various SaaS offerings from third parties to move monitoring away from your local infrastructure and into the cloudDiscover the various ways to ship your applications' logs from the container to a central logging serviceGet the most out of your application and resources with the right implementation of your monitoring methodIn DetailThis book will show you how monitoring containers and keeping a keen eye on the working of applications helps improve the overall performance of the applications that run on Docker. With the increased adoption of Docker containers, the need to monitor which containers are running, what resources they are consuming, and how these factors affect the overall performance of the system has become the need of the moment.This book covers monitoring containers using Docker's native monitoring functions, various plugins, as well as third-party tools that help in monitoring. Well start with how to obtain detailed stats for active containers, resources consumed, and container behavior. We also show you how to use these stats to improve the overall performance of the system. Next, you will learn how to use SysDig to both view your containers performance metrics in real time and record sessions to query later. By the end of this book, you will have a complete knowledge of how to implement monitoring for your containerized applications and make the most of the metrics you are collectingStyle and approachThis is an easy-to-follow guide with plenty of hands-on examples that can be executed both on your local machine and externally hosted services.
Monitoring Elasticsearch
by Dan NobleMonitor your Elasticsearch cluster's health, and diagnose and solve its performance and reliability issues About This Book * Understand common performance and reliability pitfalls in ElasticSearch * Use popular monitoring tools such as ElasticSearch-head, BigDesk, Marvel, Kibana, and more * This is a step-by-step guide with lots of case studies on solving real-world ElasticSearch cluster issues Who This Book Is For This book is for developers and system administrators who use ElasticSearch in a wide range of capacities. Prior knowledge of ElasticSearch and related technologies would be helpful, but is not necessary. What You Will Learn * Explore your cluster with ElasticSearch-head and BigDesk * Access the underlying data of the ElasticSearch monitoring plugins using the ElasticSearch API * Analyze your cluster's performance with Marvel * Troubleshoot some of the common performance and reliability issues that come up when using ElasticSearch * Analyze a cluster's historical performance, and get to the bottom of and recover from system failures * Use and install various other tools and plugins such as Kibana and Kopf, which is helpful to monitor ElasticSearch In Detail ElasticSearch is a distributed search server similar to Apache Solr with a focus on large datasets, a schema-less setup, and high availability. This schema-free architecture allows ElasticSearch to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses with petabytes of unstructured data. This book is your toolkit to teach you how to keep your cluster in good health, and show you how to diagnose and treat unexpected issues along the way. You will start by getting introduced to ElasticSearch, and look at some common performance issues that pop up when using the system. You will then see how to install and configure ElasticSearch and the ElasticSearch monitoring plugins. Then, you will proceed to install and use the Marvel dashboard to monitor ElasticSearch. You will find out how to troubleshoot some of the common performance and reliability issues that come up when using ElasticSearch. Finally, you will analyze your cluster's historical performance, and get to know how to get to the bottom of and recover from system failures. This book will guide you through several monitoring tools, and utilizes real-world cases and dilemmas faced when using ElasticSearch, showing you how to solve them simply, quickly, and cleanly. Style and approach This is a step-by-step guide to monitoring your ElasticSearch cluster and correcting performance issues. It is filled with lots of in-depth, real-world use-cases on solving different ElasticSearch cluster issues.
Monitoring Hadoop
by Gurmukh SinghThis book is useful for Hadoop administrators who need to learn how to monitor and diagnose their clusters. Also, the book will prove useful for new users of the technology, as the language used is simple and easy to grasp.
Monitoring Microservices and Containerized Applications: Deployment, Configuration, and Best Practices for Prometheus and Alert Manager
by Navin Sabharwal Piyush PandeyDiscover the methodologies and best practices for getting started with container services monitoring using Prometheus, AppDynamics, and Dynatrace. The book begins with the basics of working with the containerization and microservices architecture while establishing the need for monitoring and management technologies. You’ll go through hands-on deployment, configuration, and best practices for Prometheus. Next, you’ll delve deeper into monitoring of container ecosystems for availability, performance, and logs, and then cover the reporting capabilities of Prometheus. Further, you’ll move on to advanced topics of extending Prometheus including how to develop new use cases and scenarios. You’ll then use enterprise tools such as AppDynamics and Wavefront to discover deeper application monitoring best practices. You’ll conclude with fully automated deployment of the monitoring and management platforms integrated with the container ecosystem using infrastructure-as -code tools such as Jenkins, Ansible and Terraform. The book provides sample code and best practices for you to look at container monitoring from a holistic viewpoint. This book is a good starting point for developers, architects, and administrators who want to learn about monitoring and management of cloud native and microservices containerized applications. What You Will LearnExamine the fundamentals of container monitoringGet an overview of the architecture for Prometheus and Alert Manager Enable Prometheus monitoring for containers Monitor containers using Wavefront Use the guidelines on container monitoring with enterprise solutions AppDynamics and Wavefront Who This Book Is For Software developers, system administrators, and DevOps engineers working for enterprise customers who want to use monitoring solutions for their container ecosystems.
Monitoring Multimode Continuous Processes: A Data-Driven Approach (Studies in Systems, Decision and Control #309)
by Antônio José Silva Neto Marcos Quiñones-Grueiro Orestes Llanes-SantiagoThis book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.
Monitoring and Managing Multi-hazards: A Multidisciplinary Approach (GIScience and Geo-environmental Modelling)
by Jayanta Das Sudip Kumar BhattacharyaTo monitor multi-hazards, Remote Sensing and GIS-based multi-criteria decision-making (MCDM) techniques have been extensively used in recent years worldwide. Since natural hazards cannot be eliminated, only quantification of these events and reliable forecasting can alleviate their detrimental effects, through which we can build more resilient and safe societies. Moreover, cultivating the proper knowledge of the multi-hazards and their monitoring and management can fill the gap between science, policy, and the community concerned. In an endeavor to understand and characterize the various hazards, Monitoring and Managing Multi-hazards: A Multidisciplinary approach presents a synthesis of what cross-disciplinary researchers know about these hazards and indigenous adaptation strategies.The book therefore focuses on the use of precision techniques, Remote Sensing, and GIS technologies to quantify various natural, environmental and social hazards along with the capacity building and sustainable mitigation strategies towards resilient societies. It encompasses both thematic and regional case studies to highlight the dynamicity of climate change, change of natural resources, landscape, water, river, agricultural, and social ecosystems at various spatio-temporal scales, including theoretical and applied aspects. The book gives readers an overview and analysis of traditional and advanced geospatial technologies on atmospheric, lithospheric, hydrosphere, biospheric and socio-economic contexts, on all spatial and temporal scales regarding hazards and disasters and sustainable development and management for the future.
Monitoring i bezpieczeństwo sieci (in Polish)
by Chris Fry Martin NystromPoznaj najskuteczniejsze metody obrony sieci korporacyjnych Jak stworzy?
Monitoring of Desert Locust in Africa and Asia
by Yingying Dong Longlong Zhao Wenjiang HuangThis book deals with the topic on remote sensing monitoring of desert locust in Africa and Asia. Remote sensing monitoring of the occurrence and damage of desert locust is conducted by integrating cutting-edge technologies and methods in cross-disciplinary fields in remote sensing science, geographic information science, agronomy, plant protection, agricultural meteorology, mathematics, and computer science. The main contents include spatio-temporal data analysis and processing, desert locust breeding areas monitoring, pest migration path analysis and damage monitoring. Moreover, a desert locust remote sensing monitoring system is constructed and applied in the region of Africa and Asia countries. This book not only provides technical reference for remote sensing monitoring and application of desert locust but also serves as a research reference for scholars and graduate students engaged in agricultural remote sensing, agricultural information technology, plant protection and other related field. It will help to improve remote sensing monitoring and application of desert locust.
Monitoring with Ganglia: Tracking Dynamic Host and Application Metrics at Scale
by Robert Alexander Matt Massie Bernard Li Brad Nicholes Vladimir Vuksan Jeff Buchbinder Frederiko Costa Alex Dean Dave Josephsen Peter Phaal Daniel PocockWritten by Ganglia designers and maintainers, this book shows you how to collect and visualize metrics from clusters, grids, and cloud infrastructures at any scale. Want to track CPU utilization from 50,000 hosts every ten seconds? Ganglia is just the tool you need, once you know how its main components work together. This hands-on book helps experienced system administrators take advantage of Ganglia 3.x.Learn how to extend the base set of metrics you collect, fetch current values, see aggregate views of metrics, and observe time-series trends in your data. You’ll also examine real-world case studies of Ganglia installs that feature challenging monitoring requirements.Determine whether Ganglia is a good fit for your environmentLearn how Ganglia’s gmond and gmetad daemons build a metric collection overlayPlan for scalability early in your Ganglia deployment, with valuable tips and adviceTake data visualization to a new level with gweb, Ganglia’s web frontendWrite plugins to extend gmond’s metric-collection capabilityTroubleshoot issues you may encounter with a Ganglia installationIntegrate Ganglia with the sFlow and Nagios monitoring systemsContributors include: Robert Alexander, Jeff Buchbinder, Frederiko Costa, Alex Dean, Dave Josephsen, Peter Phaal, and Daniel Pocock. Case study writers include: John Allspaw, Ramon Bastiaans, Adam Compton, Andrew Dibble, and Jonah Horowitz.
Monitoring with Graphite: Tracking Dynamic Host and Application Metrics at Scale
by Jason DixonGraphite has become one of the most powerful monitoring tools available today, due to its ease of use, rapid graph prototyping abilities, and a friendly rendering API. With this practical guide, system administrators and engineers will learn how to use this open source tool to track operational data you need to monitor your systems, as well as application-level metrics for profiling your services.Author Jason Dixon, member of the Graphite project, provides a thorough introduction of Graphite from the basics to the skills and tools you need for troubleshooting and scaling out its software components. If you want to learn more about monitoring systems, services, or applications, this is the book you need.Get an introduction to monitoring, including important concepts and terminologyExamine the features and functionality of key Graphite components, including Carbon and WhisperLearn the typical user workflow necessary to create a basic line chartBuild complex charts with chained functions and multiple axes that interact directly with the rendering APIUnderstand how to use the native Graphite dashboard, as well as the more popular third-party dashboardsMaster the art of scaling and troubleshooting high-performance or highly available Graphite clusters