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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