book

Building Microservices with Node.js

by Daniel Kapexhiu

May 2024

Intermediate to advanced

324 pages

8h 23m

English

Packt Publishing

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ContributorsAbout the authorAbout the reviewer
Who this book is forWhat this book coversTo get the most out of this bookDownload the example code filesCode in ActionConventions usedGet in touchShare Your ThoughtsDownload a free PDF copy of this book
Introduction to the microservices and decentralized architecture conceptsMicroservices architectureDecentralized architectureService boundaries and loose couplingService boundariesLoose couplingIndependent development and deployment and polyglot architectureIndependent development and deploymentPolyglot architectureScalability and resilience and independent data managementScalability and resilienceIndependent data managementAPIs and communication and CIAPIs and communicationCISummaryQuiz time
Overview of the core principles of microservicesUnderstanding the fundamentals and identifying business capabilitiesDefining service contracts and decentralized decision makingService contracts in microservicesDecentralized decision making in microservicesPrioritizing autonomy and ownership and designing for resiliencePrioritizing autonomy and ownershipDesigning for resilienceImplementing communication strategies and ensuring scalabilityImplementing communication strategiesEnsuring scalabilityImplementing observability and continuously learning and improvingImplementing observabilityContinuous learning and improvingSummaryQuiz time
Asynchronous and non-blocking communication and event-driven architectureAsynchronous and non-blocking communicationEvent-driven architectureThe JavaScript ecosystem and server-side developmentThe JavaScript ecosystemServer-side development with Node.jsCommand-line applications and scalability and performanceCommand-line applicationsScalability and performanceCross-platform compatibility and community and supportCross-platform compatibilityCommunity and supportMicroservices and serverless architectures and their integration through APIsWhat is microservices architecture?What is a serverless architecture?Integration through APIsIntegration in microservices and serverless architecturesSummaryQuiz time
Vast package management and developer productivityVast package managementDeveloper productivityCommunity support and collaboration, and rapid innovation and updatesCommunity support and collaborationRapid innovation and updatesVersatility and full stack development, and cross-platform compatibilityVersatility and full stack developmentCross-platform compatibilityIntegration and interoperability and support for modern web standardsIntegration and interoperabilitySupport for modern web standardsEnterprise adoption and industry maturity and ecosystem growth and innovationEnterprise adoption and industry maturityWhat is ecosystem growth and innovation?SummaryQuiz time
Service discovery and API gatewaysService discoveryAPI gatewaysLoad balancing and service orchestrationLoad balancingService orchestrationContainerization and orchestration and centralized logging and monitoringContainerization and orchestrationCentralized logging and monitoringDistributed tracing and event-driven communicationDistributed tracingEvent-driven communicationDatabase integration and continuous integration and deploymentDatabase integrationCI/CDSummaryQuiz time
Things to consider before creating your microserviceCommunication protocol and design APIsCommunication protocolAPI designDecentralized data management and data consistencyAuthentication and authorization and error handling and fault toleranceAuthentication and authorizationError handling and fault toleranceMonitoring and tracing requests and containerization technologiesMonitoring and tracing requestsContainerization technologiesSummaryQuiz time

Synchronous HTTP/REST communication and asynchronous messagingSynchronous HTTP/REST communicationAsynchronous messagingEDA and API gatewaysEDAAPI gatewaysService mesh and cachingService meshCachingDistributed tracing and database integrationDistributed tracingDatabase integrationMonitoring and observability and error handling and resilienceMonitoring and observabilityError handling and resilienceSummaryQuiz time
Logging and debugging toolsLogging in microservicesDebugging toolsDebugging in containers and error handlingDebugging in containersError handlingUnit testing and remote debuggingUnit testingRemote debuggingInstrumentation and tracing and environment and configurationInstrumentation and tracingEnvironment and configurationReproducing and isolating issues and debugging tools and librariesReproduce and isolate issuesDebugging tools and librariesSummaryQuiz time
Choosing the right database and database connectionsChoosing the right databaseDatabase connections in microservicesData models and schemas and CRUD operationsData models and schemasCRUD operationsTransactions and data validationTransactions in microservicesData validation and sanitizationError handling and optimizationsError handling in microservicesOptimizations in microservicesTestingSummaryQuiz time
Defining API contracts and RESTful API designDefining API contractsRESTful API designREST API libraries and API versioningREST API librariesAPI versioningAuthentication and authorization and data validationAuthentication and authorizationData validationError handling and API documentationError handlingAPI documentationAPI testing and API gatewayAPI testingAPI gatewaySummaryQuiz time
Client-side caching and edge cachingClient-side cachingEdge cachingMicroservice-level caching and database query cachingMicroservice-level cachingDatabase query cachingMessage queues and publish-subscribeMessage queuesPublish-subscribe (Pub/Sub)Event-driven architectureSummaryQuiz time
Compensating actions and Saga orchestrationCompensating actionsSaga orchestrationEvent-driven communication and Sagas with stateEvent-driven communicationSagas with stateTransport layer security (TLS) and data encryption at restTLSData encryption at restEncryption algorithms and key managementEncryption algorithmsKey managementAuthentication, authorization, input validation, secure coding practices, and API rate limitingAuthenticationAuthorizationInput validationSecure coding practicesAPI rate limitingSummaryQuiz time
Structured logging and log levelsContextual information and centralized log managementContextual information in logsCentralized log managementApplication-level metrics, distributed tracing, and health checksApplication-level metricsDistributed tracingHealth checksThreshold-based alerts and anomaly detectionThreshold-based alertsAnomaly detectionRequest tracing, request context propagation, and logging frameworksRequest tracingRequest context propagationLogging frameworksSummaryQuiz time
Choosing a logging framework and defining log levelsChoosing a logging libraryLog levelsStructured logging, log transport, and storageStructured loggingLog transport and storageLog filtering, sampling, error handling, and exception loggingContext propagation, monitoring, and analyzing logsContext propagationMonitoringLog analysisSummaryQuiz time
Metrics analysisLog analysisAlerting and thresholdsVisualization and dashboardsCorrelation and contextSummaryQuiz time
Log levels and severitiesRequest tracing, contextual information, and event sequencing and orderRequest tracingContextual informationEvent sequencing and orderAdvantages and considerations of request tracing, contextual information, and event sequencing and orderLog format, structured logging, and log filtering and searchLog formatStructured loggingLog filtering and searchAdvantages and considerations of log format, structured logging, and log filtering and searchLog aggregation, centralized log management, visualization, and log analysis toolsLog aggregationCentralized log managementVisualizationLog analysis toolsAdvantages and considerations of log aggregation, centralized log management, visualization, and log analysis toolsCorrelation of log data with metrics and monitoring dataSummaryQuiz timeFinal words
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Content preview from Building Microservices with Node.js

15 Interpreting Monitoring Data in Microservices

When working with microservices architecture and Node.js, it is important to interpret monitoring data in microservices with Node.js.

We’ll start this chapter by understanding the core concepts of interpreting monitored data in microservices with Node.js. Interpreting monitoring data in microservices involves analyzing metrics, logs, and traces collected from various services to gain insights into the health, performance, and behavior of the system. Interpreting monitoring data is an iterative process involving automated alerting, proactive analysis, and continuous improvement efforts. It plays a crucial role in maintaining the stability and performance of microservices in a dynamic and distributed ...