大数据驱动的谷歌云平台运维_第1页
大数据驱动的谷歌云平台运维_第2页
大数据驱动的谷歌云平台运维_第3页
大数据驱动的谷歌云平台运维_第4页
大数据驱动的谷歌云平台运维_第5页
已阅读5页,还剩20页未读 继续免费阅读

下载本文档

版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领

文档简介

大数据驱动的谷歌云平台运维演讲人:通用名DevopsEvolutionDevopsEvolutionDevopsEvolutionCloud/PlatformMicroservicesBig

dataMachine

LearningCloud

and

PlatformsMicroservicesBigDataandMachineLearningDevopsDevOps

(aclippedpoundof

"development"and"operations")

is

asoftwaredevelopment

processthat

emphasizesmunicationandcollaborationbetweenproduct

management,

softwaredevelopment,

andoperations

professionals.---

Wiki“DevOps

is

thebinationof

cultural

philosophies,

practices,

and

tools

thatincreases

anorganization’s

ability

todeliver

applications

andservices

at

highvelocity.”---

AWS“DevOps

is

whereany

application

starts.”---

GoogleGoogle

Cloud

Platformc。mputeStorage。@。App

Engine

Compute

Eng,neContainer

Engine魄tableCloudStorageCloud

SQLCloudDa旧storeBig

DataMachine

Learning@@@@@B唱Query阳阳如bDataflowoacaprocDacalabVi制的APIMad旧neSp幌dTrans坦teLear阳r唱A问APIDataflow

evolutionMapReduceBigTableDremelColossusFlumeMegastoreSpannerPubSubMillwheelApacheBeamGoogleCloudDataflowChoose

your

language...JavaPythonBeamModel创herlanguages...and

your

runtime.I ..IDeployTear

DownFully-managed100

mins. 65

mins.vs.Dynamic

Work

RebalancingUnifiedprogramming

modelCloudLogsGoogleAppEngineGoogleAnalyticsPremiumCloudPub/SubBigQueryStorage(tables)CloudBigtable

(NoSQL)CloudStorage(files)CloudDataflowBigQueryAnalytics(SQL)CaptureStoreAnalyzeBatchCloudMonitoringCloudDataStoreProcessStreamCloudBigtableReal

timeanalyticsandAlertsCloudDataflowCloudDataprocDataflow-IntegratedCloudDataproc16Dataflowpublicstatic

void

main(String[]args)

throws

IOException

{...Pipeline

pipeline

=

Pipeline.create(options);pipeline.apply(PubsubIO.Read.topic(options.getPubsubTopic())).apply(ParDo.of(new

ExtractWords())).apply(ParDo.of(new

Uppercase())).apply(ParDo.of(new

StringToRowConverter())).apply(BigQueryIO.Write.to(tableSpec).withSchema(StringToRowConverter.getSchema()));PipelineResultresult=

pipeline.run();Dataflowjava

-cp./-Dexec.mainClass.example.WordCount

\-Dexec.args="--project=<my-cloud-project>\--stagingLocation=

\--output=

\--runner=BlockingDataflowPipelineRunner"Dataflowstatic

class

ExtractWords

extends

DoFn<String,String>

{@Overridepublic

void

processElement(ProcessContextc)

{String[]words

=

c.element().split("[^a-zA-Z']+");for

(String

word

:words)

{if

(!word.isEmpty())

{c.output(word);}}}}Stackdriverimport.stackdriver.api.custommetrics.CustomMetricsPosterSending

acustom

metricvalue,not

tiedto

aninstance,

collected

nowCustomMetricsPoster(YOUR_API_KEY).sendMetricDataPoint(YOUR_METRIC_NAME,

POINT_VALUE);Sending

multiple

metrics,

all

collected

nowCustomMetricsPoster(YOUR_API_KEY).sendMetricDataPoint(YOUR_METRIC_NAME,POINT_VALUE).sendMetricDataPoint(SECOND_METRIC_NAME,

SECONDPOINTVALUE);}}}}Dataflowstatic

class

ExtractWords

extends

DoFn<String,String>

{@Overridepublic

void

processElement(ProcessContextc)

{String[]words

=

c.element().split("[^a-zA-Z']+");for

(String

word

:words)

{if

(!word.isEmpty())

{c.output(word);CustomMetricsPoster(YOUR_API_KEY).sendMetricDataPoint(“Counting

Word”,1);Dataflowstatic

class

ExtractWords

extends

DoFn<String,String>

{@Overridepublic

void

processElement(ProcessContextc)

{String[]words

=

c.element().split("[^a-zA-Z']+");for

(String

word

:words)

{if

(!word.isEmpty())

{c.output(word);…..Monitoring,CapacityManagement,Rate-limiting,securityenhancementand

etc.}}}}Operationsas-a-ServiceMonitoringMicroServiceAlertingMicroServiceTrafficManagementMicroServiceDe

温馨提示

  • 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
  • 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
  • 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
  • 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
  • 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
  • 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
  • 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。

评论

0/150

提交评论