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Elastic Observability Engineer

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Learn how to collect logs, metrics, uptime and APM data, and then ship them to a single datastore — Elasticsearch.

Course summary

Observability is an attribute of a system you build, much like usability, high availability, and stability. The goal of designing and building an observable system is to make sure that when it is running, operators responsible for it can detect undesirable behaviors and have actionable information to pin down the root cause in an effective manner. This course provides a strong foundation on using Elastic to implement unified observability with a single platform. You will learn how to collect logs, metrics, uptime and APM data, and then ship them to a single datastore — Elasticsearch. You will also learn how unified observability data can be made even more actionable through machine learning and alerting, as well as easier to correlate data across different sources. Using Kibana, you will also explore how to visualize your observability data through an intuitive user interface. After completing this course, you will be well on your way to becoming an Elastic Certified Observability Engineer.

  • Topics
  • Audience
  • Duration
  • Pre-reqs
  • Requirements

 

Topics

  • Collecting logs and metrics
  • Collecting APM data
  • Working with observability data
  • Structuring and processing data
  • Actionable observability data
  • Visualizing observability data
  • Managing observability data

ELASTIC OBSER VABILITY ENGINEER

COURSE INFORMATION

Observability is an attribute of a system you build, much like usability, high availability, and stability.Thegoalofdesigningandbuildinganobservablesystemistomakesurethatwhenitisrunning, operatorsresponsibleforitcandetectundesirablebehaviorsandhaveactionableinformationtopin down the root cause in an effective manner. This course provides a strong foundation on using Elastictoimplementunifiedobservabilitywithasingleplatform.Youwilllearnhowtocollectlogs,metrics, uptimeandAPMdata,andthenshipthemtoasingledatastore—Elasticsearch.Youwillalsolearn howunifiedobservabilitydatacanbemadeevenmoreactionablethroughmachinelearningand alerting,aswellaseasiertocorrelatedataacrossdifferentsources.UsingKibana,youwillalso explorehowtovisualizeyourobservabilitydatathroughanintuitiveuserinterface.Aftercompleting thiscourse,youwillbewellonyourwaytobecominganElasticCertifiedObservabilityEngineer.


Audience

  • SoftwareDevelopers
  • SoftwareEngineers
  • Data Architects
  • SystemAdministrators
  • DevOps


Duration: 24Hours

LESSONS

Getting started

Learn why it is important to collect logs, metrics, traces,anduptimedataaswellashowElastic Observabilitymakesthemactionablethrough machinelearningandalerting,makingiteasierto findandfixissuesbeforetheyimpactyour customers.AlsolearnhowyoucanuseDiscover tostartexploringyourobservabilitydata.


Structuring and processing data

Learnhowtostructureandprocessyour unstructureddatausingElasticsearchingest nodes.Youwilllearnhowtouseingest pipelinestostructureyourdatabeforeindexing itintoElasticsearch.Youwillalsolearnhowto useingestpipelinesforconverting,enrichingandprocessingyourdatainanywayyouwant.


Language: English


Prerequisites

  • No prior knowledge of the Elastic Stack required
  • WorkingknowledgeofLinuxterminal commandsandeditorsrecommended


Requirements

  • Stableinternetconnection
  • Mac,Linux,orWindows
  • Latest version of Chrome or Firefox (otherbrowsersnotsupported)
  • Disableanyadblockersandrestart your browser before class

ELASTICOBSERVABILITYENGINEER

LESSONS

Collectinglogsandmetrics

The Elastic Agent is a single, unified way to add monitoring of logs,metrics,andotherdata.LearnhowtousetheElastic AgentalongwithFleetandIntegrationstocollectlogsand metricsfrompopularservicesandplatforms.

Collecting APM data

LearnhowElasticAPMcanhelpmonitoryourapplications andservicesinrealtimeaswellaswhichElasticcomponents youneedtocollecttraces,errors,performancemetricsand userexperiencedata.DiscoverhowElasticAPMsupports distributedtracingandhowitenablesyoutoanalyze performance throughout your microservice architecture all in oneview.

WorkingwithObservabilitydata

LearnhowtousetheLogsapptomonitorallofthelog eventsflowinginfromyourserversandtheInfrastructure apptovisualizeinfrastructuremetricsthathelpdiagnose issuesinyourarchitecture.AlsolearnhowtousetheAPM apptomonitoryoursoftwareservicesandapplicationsin real-timeaswellasvisualizedetailedperformance information on your services, identify and analyze errors. And learnhowyoucanusetheUserExperienceapptoquantify andanalyzetheperceivedperformanceofyourweb applications.

Actionableobservabilitydata

Learnhowextractingnewinsightsfromyourobservability dataisassimpleasclickingabutton,makingmachine learningtrulyoperational.Alsolearnhowtousetimeseries modelingtodetectanomaliesinyourcurrentdataand forecasttrendsbasedonhistoricaldataaswellashowto configurealertsontopofmachinelearningtogetnotified whenanomaliesarefoundinyourobservabilitydata.

Visualizingobservabilitydata

LearnhowtoleverageKibanaasanobservability visualization platform. You will learn to visualize your data in differentwaysthroughpreconfiguredandeditable dashboards.Youwillalsolearnhowtocreateyourown dashboardsandvisualizationstocombinedifferentsources ofdatathatprovideyouamoreunifiedviewofyour observabilitydata.

Managingobservabilitydata

Learnwhyandhowdatastreamsarewell-suitedforlogs, metrics,traces,andotherdata.Alsolearnhowindex lifecyclemanagement(ILM)isimplementedthroughthe hot-warm-cold-frozenarchitecturetoautomatehowyour datastreamsaremanagedovertime.Finally,learnhowto usesnapshotstobackupyourdatastreamsandhow searchablesnapshotsletyouusesnapshotstosearch infrequentlyaccessedandread-onlydatainavery

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